An Indexed Bibliography of Genetic Algorithms in Signal and Image

Transcription

An Indexed Bibliography of Genetic
Algorithms in Signal and Image
Processing
compiled by
Jarmo T. Alander
Department of Electrical Engineering and Automation
University of Vaasa P.O. Box 700, FIN-65101 Vaasa, Finland
phone: +358-6-324 8444, fax: +358-6-324 8467
Report Series No. 94-1-SIGNAL (DRAFT 2009/07/31 11:49 )
available via anonymous ftp: site ftp.uwasa.fi directory cs/report94-1 file gaSIGNALbib.pdf
c 1994-2009 Jarmo T. Alander
Copyright Trademarks
Product and company names listed are trademarks or trade names of their respective companies.
Warning
While this bibliography has been compiled with the utmost care, the editor takes no responsibility for
any errors, missing information, the contents or quality of the references, nor for the usefulness and/or
the consequences of their application. The fact that a reference is included in this publication does not
imply a recommendation. The use of any of the methods in the references is entirely at the user’s own
responsibility. Especially the above warning applies to those references that are marked by trailing ’†’ (or
’*’), which are the ones that the editor has unfortunately not had the opportunity to read. An abstract
was available of the references marked with ’*’.
Contents
1 Preface
1.1 Your contributions erroneous or missing?
1.1.1 How to cite this report? . . . . . .
1.2 How to get this report via Internet? . .
1.3 Acknowledgement . . . . . . . . . . . . . .
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2 Introduction
1
2
2
2
2
4
3 Statistical summaries
3.1 Publication type . . . . .
3.2 Annual distribution . . . .
3.3 Classification . . . . . . .
3.4 Authors . . . . . . . . . .
3.5 Geographical distribution
3.6 Conclusions and future . .
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5
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4 Indexes
4.1 Books . . . . . . . . .
4.2 Journal articles . . . .
4.3 Theses . . . . . . . . .
4.3.1 PhD theses . .
4.3.2 Master’s theses
4.4 Report series . . . . .
4.5 Patents . . . . . . . .
4.6 Authors . . . . . . . .
4.7 Subject index . . . . .
4.8 Annual index . . . . .
4.9 Geographical index . .
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9
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14
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74
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Bibliography
79
Appendixes
221
A Bibliography entry formats
221
i
List of Tables
2.1
Queries used to extract this subbibliography from the source database.
3.1
3.2
3.3
3.4
3.5
Distribution of publication type. . . . . . . . . . . . . . . . . . . . . . . . . .
Annual distribution of contributions. . . . . . . . . . . . . . . . . . . . . . .
The most popular subjects. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
The most productive genetic algorithms and signal processing authors. . . .
The geographical distribution of the authors working on genetic algorithms
processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
A.1 Indexed genetic algorithm special bibliographies available online
ii
. . . . . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
. . . . . . .
and signal
. . . . . . .
4
5
6
6
7
8
. . . . . . . . . . . . . . 225
Chapter 1
Preface
“ Living organism are consummate problem solvers. They exhibit a versatility
that puts the best computer programs to shame. ”
John H. Holland, [1]
The material of this bibliography has been extracted from the genetic algorithm bibliography [2], which
when this report was compiled (July 31, 2009) contained 20845 items and which has been collected from
several sources of genetic algorithm literature including Usenet newsgroup comp.ai.genetic and the
bibliographies [3, 4, 5, 6]. The following index periodicals and databases have been used systematically
• A: International Aerospace Abstracts: Jan. 1995 – Sep. 1998
• ACM: ACM Guide to Computing Literature: 1979 – 1993/4
• BA: Biological Abstracts: July 1996 - Aug. 1998
• CA: Computer Abstracts: Jan. 1993 – Feb. 1995
• CCA: Computer & Control Abstracts: Jan. 1992 – Dec. 1999 (except May -95)
• ChA: Chemical Abstracts: Jan. 1997 - Dec. 2000
• CTI: Current Technology Index Jan./Feb. 1993 – Jan./Feb. 1994
• DAI: Dissertation Abstracts International: Vol. 53 No. 1 – Vol. 56 No. 10 (Apr. 1996)
• EEA: Electrical & Electronics Abstracts: Jan. 1991 – Apr. 1998
• EI A: The Engineering Index Annual: 1987 – 1992
• EI M: The Engineering Index Monthly: Jan. 1993 – Apr. 1998 (except May 1997)
• Esp@cenet patents – Apr. 2002
• IEEE: IEEE and IEE Journals – Fall 2002
• N: Scientific and Technical Aerospace Reports: Jan. 1993 - Dec. 1995 (except Oct. 1995)
• NASA NASA ADS www bibliography database: – Dec. 2002
• P: Index to Scientific & Technical Proceedings: Jan. 1986 – Dec 1999 (except Nov. 1994)
• PA: Physics Abstracts: Jan. 1997 – June 1999
• PubMed: National Library of Medicine Jan. 2000 – Oct. 2000
• SPIE Web The International Society for Optical Engineering – June 2002
1
2
1.1
Genetic algorithms and signal processing
Your contributions erroneous or missing?
The bibliography database is updated on a regular basis and certainly contains many errors and inconsistences. The editor would be glad to hear from any reader who notices any errors, missing information,
articles etc. In the future a more complete version of this bibliography will be prepared for the genetic algorithms and signal processing research community and others who are interested in this rapidly growing
area of genetic algorithms.
When submitting updates to the database, paper copies of already published contributions are preferred. Paper copies (or ftp ones) are needed mainly for indexing. We are also doing reviews of different
aspects and applications of GAs where we need as complete as possible collection of GA papers. Please,
do not forget to include complete bibliographical information: copy also proceedings volume title pages,
journal table of contents pages, etc. Observe that there exists several versions of each subbibliography,
therefore the reference numbers are not unique and should not be used alone in communication, use the key appearing as the last item of the reference entry instead.
Complete bibliographical information is really helpful for those who want to find your contribution
in their libraries. If your paper was worth writing and publishing it is certainly worth to be referenced
right in a bibliographical database read daily by GA researchers, both newcomers and established ones.
For further instructions and information see ftp.uwasa.fi/cs/GAbib/README.
1.1.1
How to cite this report?
You can use the BiBTEX file GASUB.bib, which is available in our ftp site ftp.uwasa.fi in directory
cs/report94-1 and contains records for GA subbibliographies for citing with LATEX/BibTEX.
1.2
How to get this report via Internet?
Versions of this bibliography are available via anonymous ftp or www from the following site:
media
ftp
country
Finland
site
ftp.uwasa.fi
directory
/cs/report94-1
file
gaSIGNALbib.pdf
The directory also contains some other indexed GA bibliographies shown in table A.1. In case you do
not find a proper one please let us know: it may be easy to tailor a new one.
1.3
Acknowledgement
The editor wants to acknowledge all who have kindly supplied references, papers and other information on
genetic algorithms and signal processing literature. At least the following GA researchers have already
kindly supplied their complete autobibliographies and/or proofread references to their papers: Dan
Adler, Patrick Argos, Jarmo T. Alander, James E. Baker, Wolfgang Banzhaf, Helio J. C. Barbosa,
Hans-Georg Beyer, Christian Bierwirth, Peter Bober Joachim Born, Ralf Bruns, I. L. Bukatova, Thomas
Bäck, Chhandra Chakraborti, Nirupam Chakraborti, David E. Clark, Carlos A. Coello Coello, Yuval
Davidor, Dipankar Dasgupta, Marco Dorigo, J. Wayland Eheart, Bogdan Filipič, Terence C. Fogarty,
David B. Fogel, Toshio Fukuda, Hugo de Garis, Robert C. Glen, David E. Goldberg, Martina GorgesSchleuter, Hitoshi Hemmi, Vasant Honavar, Jeffrey Horn, Aristides T. Hatjimihail, Heikki Hyötyniemi
Mark J. Jakiela, Richard S. Judson, Bryant A. Julstrom, Charles L. Karr, Akihiko Konagaya, Aaron
Konstam, John R. Koza, Kristinn Kristinsson, Malay K. Kundu, D. P. Kwok, Jouni Lampinen, Jorma
Laurikkala, Gregory Levitin, Carlos B. Lucasius, Timo Mantere, Michael de la Maza, John R. McDonnell,
J. J. Merelo, Laurence D. Merkle, Zbigniew Michalewics, Melanie Mitchell, David J. Nettleton, Volker
Nissen, Ari Nissinen, Tatsuya Niwa, Tomasz Ostrowski, Kihong Park, Jakub Podgórski, Timo Poranen,
Nicholas J. Radcliffe, Colin R. Reeves, Gordon Roberts, David Rogers, David Romero, Sam Sandqvist,
Ivan Santibáñez-Koref, Marc Schoenauer, Markus Schwehm, Hans-Paul Schwefel, Michael T. Semertzidis,
Davil L. Shealy, Moshe Sipper, William M. Spears, Donald S. Szarkowicz, El-Ghazali Talbi, Masahiro
Acknowledgement
3
Tanaka, Leigh Tesfatsion, Peter M. Todd, Marco Tomassini, Andrew L. Tuson, Kanji Ueda, Jari Vaario,
Gilles Venturini, Hans-Michael Voigt, Roger L. Wainwright, D. Eric Walters, James F. Whidborne, Stefan
Wiegand, Steward W. Wilson, Xin Yao, Xiaodong Yin, and Ljudmila A. Zinchenko.
The editor also wants to acknowledge Elizabeth Heap-Talvela for her kind proofreading of the manuscript
of this bibliography and Tea Ollanketo and Sakari Kauvosaari for updating the database. Prof. Timo
Salmi and the Computer Centre of University of Vaasa is acknowledged for providing and managing the
online ftp site ftp.uwasa.fi, where these indexed bibliographies are located.
Chapter 2
Introduction
“Many scientist, possibly most scientist, just do science without thinking too
much about it. They run experiments, make observations, show how certain
data conflict with more general views, set out theories, and so on. Periodically,
however, some of us—scientists included—step back and look at what is going
on in science.”
David L., Hull, [7]
The table 2.1 gives the queries that have been used to extract this bibliography. The query system as well
as the indexing tools used to compile this report from the BiBTEX-database [8] have been implemented
by the author mainly as sets of simple awk and gawk programs [9, 10].
string
pattern recognition
pattern recognition
pattern recognition
Pattern recognition
classification
vision
vision
Vision
image processing
image processing
Image
signal
Signal
filter
acoustics
system identification
field
ANNOTE
TITLE
TITLE
TITLE
ANNOTE
ANNOTE
TITLE
TITLE
ANNOTE
TITLE
JOURNAL
ANNOTE
JOURNAL
ANNOTE
ANNOTE
ANNOTE
class
Pattern recognition
Pattern recognition
Pattern recognition
Pattern recognition
Classification
Vision
Vision
Vision
Image processing
Image processing
Image processing
Signal processing
Signal processing
Signal processing
Acoustics
Signal processing
Table 2.1: Queries used to extract this subbibliography from the source database.
Hint
4
Chapter 3
Statistical summaries
type
book
section of a book
part of a collection
journal article
proceedings article
proceedings
report
PhD thesis
MSc thesis
others
total
This chapter gives some general statistical summaries of genetic algorithms and signal processing
literature. More detailed indexes can be found in
the next chapter.
References to each class (c.f table 2.1) are listed
below:
• Acoustics 76 references ([11]-[86])
• Classification 275 references ([87]-[361])
number of items
13
7
35
827
1367
4
25
37
18
61
2394
• Image processing 895 references ([362]-[1256])
Table 3.1: Distribution of publication type.
• Pattern recognition 228 references ([1257][1484])
• Signal processing 719 references ([1485][2203])
3.2
Annual distribution
• Vision 198 references ([2204]-[2401])
Table 3.2 gives the number of genetic algorithms
and signal processing papers published annually.
The annual distribution is also shown in fig. 3.1.
The average annual growth of GA papers has been
approximately 40 % during late 70’s - early 90’s.
Observe that each reference is included (by the
computer) only to one of the above classes (see the
queries for classification in table 2.1; the textual
order in the query gives priority for classes).
3.1
Publication type
This bibliography contains published contributions
including reports and patents. All unpublished
manuscripts have been omitted unless accepted
for publication. In addition theses, PhD, MSc
etc., are also included whether or not published
somewhere.
Table 3.1 gives the distribution of publication
type of the whole bibliography. Observe that the
number of journal articles may also include articles published or to be published in unknown
forums.
3.3
Classification
Every bibliography item has been given at least
one describing keyword or classification by the editor of this bibliography. Keywords occurring most
are shown in table 3.3.
5
6
year
1963
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
total
items
1
0
1
0
0
1
0
0
0
2
2
8
3
9
36
122
230
282
187
134
69
26
34
6
year
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
items
0
0
0
0
0
0
0
0
1
2
5
0
2
14
62
193
339
241
191
85
42
40
23
2393
Table 3.2: Annual distribution of contributions.
6Genetic algorithms and signal processing
ccc
c ccc
c
c
1000
c
c
c
number of papers
c
ss
c
(log scale)
c
ss sss ccc
c
s
s
c
100
cc
ss
cc
s
s ss
s
c
s sc
ccc
c
s
c cc cccc
10
s s
cc c
s
c
s
c c
c
cc
s
c
c c
sss
s
1c cc s s
s
s
1960
2009/07/31
1970
1980
YEAR
1990
2000
Figure 3.1: The number of papers applying genetic algorithms and signal processing (•,
N = 2403 ) and total GA papers (◦, N = 20845 ).
Observe that the last few years are most incomplete in the database.
Total
image processing
signal processing
pattern recognition
filters
classification
neural networks
genetic programming
engineering
medicine
imaging
acoustics
hybrid
machine vision
remote sensing
patent
control
medical imaging
comparison
optics
machine learning
parallel GA
image registration
implementation
clustering
robotics
fuzzy systems
CAD
spectroscopy
evolution strategies
feature selection
cancer
wavelets
telecommunications
segmentation
protein folding
classifiers
chemistry
proteins
physics
image processing?
compression
radar
halftoning
coevolution
tomography
population size
optimization
navigation
coding
vector quantization
fractals
electronics
electromagnetics
rule based systems
evolvable hardware
computer graphics
analysing GA
others
2230
1001
397
303
222
206
190
107
105
97
80
76
73
67
65
63
58
57
56
46
43
43
41
41
35
29
28
28
23
22
21
20
20
19
19
18
18
18
17
14
14
14
14
13
13
13
12
12
12
12
12
11
11
11
11
10
10
10
10
5070
Table 3.3: The most popular subjects.
Authors
3.4
7
Authors
Table 3.4 gives the most productive authors.
total number of authors
Chen, Yen-Wei
Nakao, Zensho
Alander, Jarmo T.
Mantere, Timo
Saito, Hideo
Ishibuchi, Hisao
Arslan, T.
Pal, Sankar K.
Fogel, David B.
Wechsler, Harry
Tamburino, Louis A.
Bala, Jerzy W.
Delibasis, Konstantinos K.
Rizki, Mateen M.
Ali, Fath El Alem Fadlallah
Horrocks, David H.
Kawamata, Masayuki
Kwong, S.
Man, K. F.
Murata, Tadahiko
5 authors
17 authors
17 authors
27 authors
51 authors
87 authors
148 authors
528 authors
3214 authors
4114
30
29
25
20
20
17
16
15
13
13
12
11
11
11
10
10
10
10
10
10
9
8
7
6
5
4
3
2
1
Table 3.4: The most productive genetic algorithms and signal processing authors.
8
3.5
Geographical distribution
Table 3.5 gives the geographical distribution of authors, when the country of the author was known. Over
80% of the references of the GA source database are classified by country.
2009/07/31
country
Total
United States
Japan
United Kingdom
China
Germany
Italy
Taiwan
Finland
India
France
South Korea
Canada
Australia
Spain
Brazil
Singapore
Turkey
Poland
Israel
The Netherlands
Others
special
n
%
2301 100.00
536
23.29
359
15.60
253
11.00
173
7.52
87
3.78
87
3.78
84
3.65
71
3.09
60
2.61
59
2.56
59
2.56
49
2.13
39
1.69
30
1.30
24
1.04
21
0.91
19
0.83
18
0.78
17
0.74
17
0.74
206
8.92
comparison
δ[%] ∆[%]
−4.35
+3.28
+0.81
+2.56
−3.13
+0.92
+1.50
−0.65
+1.04
+0.04
+0.28
+0.56
−0.77
−0.45
+0.12
+0.08
+0.38
−0.11
+0.13
−0.26
−0.65
−16
+27
+8
+52
−45
+32
+70
−17
+66
+2
+12
+36
−31
−26
+13
+10
+84
−12
+21
−26
−7
all
N
19667
5436
2423
2004
975
1359
563
422
735
308
495
449
309
483
345
180
164
88
176
119
197
1877
%
100.00
27.64
12.32
10.19
4.96
6.91
2.86
2.15
3.74
1.57
2.52
2.28
1.57
2.46
1.75
0.92
0.83
0.45
0.89
0.61
1.00
9.57
Table 3.5: The geographical distribution of the authors working on genetic algorithms and signal processing (n) compared (δ and ∆) to all authors in the field of GAs (N ). In the comparison column:
nNT otal
δ% = %special−%all and ∆ = (1 − N
nT otal ) × 100%. ∆ is the relative (%) deviation from the expected
number of special papers. Observe that joint papers may have authors from several countries and that
not all authors have been attributed to a country.
3.6
Conclusions and future
The editor believes that this bibliography contains references to most genetic algorithms and signal
processing contributions upto and including the year 1998 and the editor hopes that this bibliography
could give some help to those who are working or planning to work in this rapidly growing area of genetic
algorithms.
Chapter 4
Indexes
4.1
Books
ACM SIGAPP Applied Computing Review,
The following list contains all items classified as
books.
ACOUSTICA,
[82]
Acoustical Imaging,
[43]
Acta Acust. (France),
[38]
Acta Aeronautica et Astronautica Sinica,
Acta Cybernetica,
Algorithms for image processing and computer vision, [848]
Genetic Algorithms for Pattern Recognition,
[1255]
Acta Electronica Sinica (China),
Acta Mechanica Solida Sinica,
Genetic Algorithms for Control and Signal Processing (Advances in Industrial Control), [1985]
Advanced Imaging,
[918, 1058]
[564, 570]
[2296]
Advanced Technology for Developers,
[1365]
AIAA Journal,
[2189]
Anal. Chem.,
[1266, 1280]
Hierarchical Bayesian Optimization Algorithm: Toward a
New Generation of Evolutionary Algorithms, [2316]
Anal. Lett.,
[1163]
Learning Algorithms: Theory and Applications in Signal
Processing, Control and Communications, [1968]
Analytical Chemistry,
Nonlinear System Identification: from Classical Approaches
to Neural Networks and Fuzzy Models, [2086]
Applied Artificial Intelligence,
Optimization in Signal and Image Processing,
Applied Soft Computing,
Genetic Learning for Adaptive Image Segmentation,
[673]
Analytica Chimica Acta,
Applied Optics,
Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure,
[617]
[2401]
[1262, 1290, 1836]
[1682]
Annals of Biomedical Engineering,
[655, 665]
[1304]
[1232]
[1648, 1785, 1796]
[141, 2325, 656]
Applied Spectroscopy,
[123]
Arpakannus,
[508]
ARPN Journal of Engineering and Applied Sciences,
Soft Computing for Image Processing,
[463]
Artificial Intelligence,
Artificial Intelligence in Medicine,
Automatica,
total 12 books
[1434]
[1435]
[1989]
Automatisierungstechnik,
[2142, 2157]
Behav. Res. Methods Instrum. Comput.,
[455]
Behavior Research Methods, Instruments and Computers,
Journal articles
[454]
Biochimica et Biophysica Acta – Protein Structure and
Molecular Enzymology, [283]
The following list contains the references to every
journal article included in this bibliography. The
list is arranged in alphabetical order by the name
of the journal.
Bioinformatics,
[289]
Biomed. Eng. Appl. Basis Commun. (Taiwan),
Biomed. Sci. Instrum.,
Bioprocess Engineering,
Academic Open Internet Journal,
[666]
[1924]
Artificial Intelligence in Engineering,
System Indentification Through Simulated Evolution: A
Machine Learning Approach to Modeling, [2185]
4.2
[1803, 433]
[648]
Acta Electronica Sinica,
Evolutionary Computation, Principles and Practice for Signal Processing, [1808]
[487]
[449]
[2179]
Biosens. Bioelectron. (UK),
[1324]
9
[1407]
[890]
10
BT Technology Journal,
Electric Power Systems Research,
[1281]
Bull. Electrotech. Lab. (Japan),
Bull. Fac. Eng. Univ. Ryukyus (Japan),
[1966]
[1170]
Bull. Fac. Eng. Univ. Tokushima (Japan),
Electron. Commun. Jpn 3, Fundam. Electron. Sci. (USA),
[1353]
Bull. Pol. Acad. Sci. Tech. Sci. (Poland),
[1688]
[1704]
Electron. Commun. Jpn. 3, Fundam Electron. Sci. (USA),
Bulletin of Faculty of Engineering, Ryukyus (Japan), [806]
Bulletin of the Seismological Society of America,
CC-AI,
[2076]
Chaos, Solitons and Fractals,
[630]
[273]
Engineering Applications of Artificial Intelligence,
[1308,
269, 2031]
[2322,
2138]
EURASIP Journal on Advances in Signal Processing, [1499]
Chin. J. Electron. (China),
[1660, 1141]
Chin. J. Electron. (Hong Kong),
EURASIP Journal on Applied Signal Processing,
[2025]
[1388]
European Journal of Operational Research,
Chinese Journal of Computers,
[643]
Evolutionary Computation,
Exp. Fluids (Germany),
Circuits, Systems, and Signal Processing,
Complexity International,
[1510]
Experiments in Fluids,
[93, 1357, 1378, 2338, 2350, 1456]
[1844]
Experimental Techniques,
[494]
[2313]
[1063]
Expert Systems with Applications,
[421]
[377]
[140]
[920]
Experimental Mechanics,
[44]
Comput. Med. Imaging Graph.,
[1498]
EURASIP Journal on Image and Video Processing,
Chinese Optics Letters, [582, 622]
Comput. Math. Appl.,
[2080]
[432, 2359, 1815, 1582, 1857, 1628,
1872, 747, 770, 2115, 1916, 1937, 1939, 2131, 917, 1943, 276,
1991, 1410, 1064, 2165, 2176, 332, 1771, 2066]
Chemometrics and Intelligent Laboratory Systems,
Chin. Sci. Bull.,
[284]
Electronic Engineering Times,
Electronics Letters,
[341]
Chemical Reviews,
[1609]
Electron Commun Jpn Part III Fundam Electron Sci.,
[1741]
[1383]
Comput. Music J.,
[1948]
Far East Journal of Mathematical Sciences,
Comput. Music J. ,
[1952]
Fatigue and Fracture of Engineering Materials and Structures, [441]
Computer Methods and Programs in Biomedicine,
[122,
Forschung Komplementarmedizin Klass Naturheilkd,
158, 1596, 1876]
Computer Physics Communications,
Computer-Aided Design,
[392, 404]
[334]
Computers and Geotechnics,
Computers & Chemistry,
[640]
[2078]
[775, 872, 894, 901]
[245]
Computing in Science & Engineering,
[498]
[828]
[913]
[1749]
Control Theory Appl. (China),
Controle Autom. (Brazil),
[1073]
Ear & Hearing,
[1750]
IEE Proc., Control Theory Appl. (UK),
[2173]
IEE Proceedings - Circuit, Devices, and Systems,
[1532]
IEE Proceedings - Circuits, Devices and Systems,
[1558]
[1556]
[1528]
[2397]
[365, 379]
IEE Proceedings G: Electronic Circuits and Systems, [1797]
[1448]
IEE Proceedings J: Optoelectronics,
[1316]
[1792]
IEE Proceedings Microwaves, Antennas and Propagation,
[973]
[908]
[1495]
[1833, 1837]
[653]
[2133]
Electr. Mach. Power Syst. (USA),
[2146]
IEE Proc., Circuits Devices Syst. (UK),
IEE Proceedings - Vision, Image and Signal Processing,
[127, 138, 161, 306]
Egyptian Computer Science Journal,
Electr. Eng. Jpn (USA),
High Technol. Lett. (China),
IEE Proceedings - Radar, Sonar and Navigation,
Digital Process., Image Commun. (Netherlands),
Digital Signal Processing,
[497, 2365,
IEE Proceedings - F: Radar and Signal Processing,
[2177]
Cybernetics and Systems Analysis,
Decision Support Systems,
[511]
[188, 728, 241, 285, 326, 1447]
IEE Proceedings - Circuits, Devices, and Systems,
[871]
Cybernetics and Systems,
[1086]
1839, 170]
Computers & Industrial Engineering,
Control Engineering Practice,
[1658]
Genetic Programming and Evolvable Machines,
Computers & Operations Research,
Control Cybern. (Poland),
[89]
[1862]
Future Generation Computer Systems,
Fuzzy Sets and Systems,
[277]
Control and Cybernetics,
Fundam. Electron. Sci.,
Fundamenta Informaticae,
Computerized Medical Imaging and Graphics,
Digit. Creat. (UK),
Fractals,
[1567]
Computer Vision and Image Understanding,
CSELT Tech. Rep.,
[1240]
[397]
IEE Proceedings, Electr. Power Appl.,
[1732]
IEE Proceedings, Vis. Image Signal Process. (UK),
[381]
IEE Proceedings, Vision, Image, Signal Processing,
[385]
IEE Proceedings: Vision, Image and Signal Processing,
[390]
[1941]
IEEE Computational Intelligence Magazine,
[628]
Journal articles
11
IEEE Control Systems Magazine,
IEEE
[2199]
IEEE Eng. Med. Biol., [846]
IEEE Geoscience and Remote Sensing Letters,
IEEE Intell. Syst. (USA),
in
[447, 1552, 1826, 1121]
IEEE Transactions on Knowledge and Data Engineering,
IEEE Journal of Oceanic Engineering,
[23, 81]
[544, 545]
IEEE Journal on Selected Areas in Communications, [1817,
1820]
IEEE Photonics Technol. Lett. (USA),
IEEE Transactions on Machine Intelligence,
[1478]
IEEE Transactions on Medical Imaging,
[527, 546, 827,
1048, 1202]
[1748]
[1486, 1488, 1489, 1490,
IEEE Transactions on Microwave Theory and Techniques,
[2008]
1509, 1515, 1517, 1525]
IEEE Signal Processing Magazine,
IEEE Transactions on Neural Networks,
[1496, 1504, 1507]
IEEE Trans Circuits Syst II Analog Digital Signal Process,
[92, 136, 675, 1417]
IEEE Transactions on Nuclear Science,
[944]
IEEE Transactions on Oceanic Engineering,
[1512]
IEEE Trans Consum Electron,
Technology
IEEE Transactions on Instrumentation and Measurement,
[168]
[1054, 1414]
IEEE Signal Processing Letters,
Transactions on Information
Biomedicine, [147, 1139]
IEEE Trans. Consum. Electron. (USA),
IEEE Trans. Image Process. (USA),
[1390]
IEEE Transactions on Pattern analysis and Machine Intelligence, [417]
[401]
IEEE Transactions of Image Processing,
[49]
IEEE Transactions on on Pattern Analysis and Machine Intelligence, [612]
[1032]
[386]
IEEE Transactions on Aerospace and Electronic Systems,
[734]
IEEE Transactions on Pattern Analysis and Machine Intelligence,
[87, 96, 108, 1305, 1612, 698, 716, 873, 1376,
1735, 1080, 1256]
IEEE Transactions on Antennas and Propagation,
[1594,
1846, 1891, 1752]
IEEE Transactions on Biomedical Engineering,
[1824, 637]
IEEE Transactions on Power Delivery,
[1804, 2059, 2060]
IEEE Transactions on Power Systems,
[2132]
IEEE Transactions on Robotics and Automation,
[2339]
IEEE Transactions on Circuit and Systems for Video Technology, [452, 1124]
IEEE Transactions on Signal Processing,
IEEE Transactions on Circuits and Systems – I: Fundamental Theory and Applications, [1920]
IEEE Transactions on Speech and Audio Processing, [1800,
IEEE Transactions on Circuits and Systems for Video Technology, [1583, 1038, 1215]
IEEE Transactions on System, Man, and Cybernetics, [423]
IEEE Transactions on Circuits and Systems II, Analog
Digit. Signal Process., [1503]
IEEE Transactions on Circuits and Systems–I: Fundamental Theory and Applications, [1821]
IEEE Transactions on Communications,
[1487, 1491, 1501,
1508, 1518, 1519, 1520, 1522, 1524]
1263, 1992]
IEEE Transactions on Systems, Man and Cybernetics - Part
A: Systems and Human, [513]
IEEE Transactions on Systems, Man and Cybernetics - Part
B: Cybernetics, [515]
IEEE Transactions on Systems, Man, and Cybernetics,
[732, 2124, 961, 1725, 292, 1071, 307, 2196]
[1934]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, [1823]
IEEE Transactions on Systems, Man, and Cybernetics B,
Cybernetics, [1396]
IEEE Transactions on Consumer Electronics,
IEEE Transactions on Systems, Man, and Cybernetics C,
Application Review, [301]
[1045]
IEEE Transactions on Dielectrics and Electrical Insulation,
[1283]
IEEE Transactions on Electron Devices,
[560]
IEEE Transactions on Energy Conversion,
IEEE Transactions on Systems, Man, and Cybernetics, B,
Cybernetics, [1443]
[2151]
IEEE Transactions on Evolutionary Compuatation,
[422]
IEEE Transactions on Evolutionary Computation,
[2299,
1268, 95, 458, 2307, 1560, 1816, 530, 535, 979, 1996, 1153,
1164, 1169]
IEEE Transactions on Fuzzy Systems,
IEEE Transactions on Systems, Man, and Cybernetics, A,
Systems Humans, [915]
IEEE Transactions on Systems, Man, and Cybernetics, Part
A: Systems and Humans, [541]
IEEE Transactions on Systems, Man, and Cybernetics, Part
B, [1289]
[97, 114, 1635, 198,
IEEE Transactions on Systems, Man, and Cybernetics—
Part B: Cybernetics, [594]
IEEE Transactions on Geoscience and Remote Sensing,
IEEE Transactions on Systems, Man, and Cybernetics-Part
C: Applications and Reviews, [537]
773, 236]
[126, 529, 133]
IEEE Transactions on Geoscience and remote Sensing, [162]
IEEE Transactions on Geoscience and Remote Sensing,
[166, 172, 1113]
IEEE Transactions on Image Processing,
[363, 368, 374,
384, 398, 399]
IEEE Transactions on Industrial Electronics,
1670, 1926, 1946, 1743, 333]
[2304, 1574,
IEEE Transactions on Systems, Science, and Cybernetics,
[2191]
IEEE Transactions on Systiems, Man, and Cybernetics,
Part B: Cybernetics, [1687]
IEICE Trans. Electron. (Japan),
[1738]
IEICE Trans. Inf. Syst. (Japan),
[2007, 1068]
IEICE Transactions,
[40]
12
IEICE Transactions on Electronics,
Internet Electronic Journal of Molecular Design,
[19]
[152]
IEICE Transactions on Fund. Electron. Commun. Comput. Sci., [1676]
Internet Research-Electronic Networking Applications and
Policy, [137]
IEICE Transactions on Fundamentals,
ISPRS Journal of Photogrammetry & Remote Sensing,
[1632]
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, [532, 585]
[171]
ITG-Fachber. (Germany),
[1026, 2009]
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, [1673, 2167]
J. Acoust. Soc. Am. (USA),
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science”, ,
[299, 1075,
J. Acoust. Soc. Jpn. (Japan),
[67]
J. Artif. Neural Netw. (USA),
[774]
308, 2040]
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, [428]
IEICE Transactions on Information and Systems,
[1832,
J. Acoust. Soc. Jpn E,
[1942]
[1708]
J. Cent. South Univ. Technol.,
[2321]
J. Chin. Soc. Mec. Eng. Trans. Chin. Inst. Eng. Ser. C,
[37]
J. Circuits Syst. Comput. (Singapore),
706, 2126, 982]
IMA Journal of Mathematics Applied in Business and Industry, [192]
J. Clin. Neurophysiol,
Image and Vision Computing,
J. Electr. Eng. Inf. Sci. (Taiwan),
[367, 369, 372, 375, 376, 393,
396, 400, 402, 403, 405, 407]
Image Process. (UK),
J. Electronic Imaging,
Industrial Robot: An International Journal,
Information Processing Letters,
Information Sciences,
[1138]
Information Technology and Control,
[2001]
[786]
[2152, 2178]
J. Infrared Millim. Waves (China),
[1425]
J. Inst. Electr. Eng., Kyungpook Nat. Univ., Taegu, South
Korea, [2346]
[642]
[1887]
J. Inst. Electron. Eng. Korea S (South Korea),
Int. J. Adapt. Control Signal Process. (UK),
Int. J. Control (UK),
[36, 64, 66, 68, 72]
[2306]
J. Harbin Inst. Technol. (China),
[346]
[1551, 484, 1339]
Int J Imaging Syst Technol,
J. Comput. Acoust. (Singapore),
J. Electron. Imaging (USA),
[382]
[1715]
[2035]
J. Inst. Electron. Telecommun. Eng. (India),
[2153]
Int. J. Flex. Autom. Integr. Manuf. (USA),
J. Inst. Image Electron. Eng. Jpn. (Japan),
[983]
Int. J. Flexible Manuf.Syst. (Netherlands),
J. Inst. Telev. Eng. Jpn. (Japan),
[2333]
J. Intell. Manuf.,
Int. J. Syst. Sci. (UK), [2158]
Intelligent Systems in Accounting, Finance & Management,
[157]
International Journal for Numerical Methods in Engineering, [18, 26]
International Journal of Biological Macromolecules,
International Journal of Computer Vision,
[229]
[2312]
International Journal of Computers, Systems and Signals,
[1492]
International Journal of Geriatric Psychiatry,
[111]
International Journal of Human-Computer Studies,
[1802]
International Journal of Modern Physics C,
[351]
[483]
International Journal of Pattern Recognition and Artificial
Intelligence, [1319, 1321, 876, 1418]
International Journal of Policy Analysis and Information
Systems, [1461]
[1927]
[378, 391, 406]
[882]
[1931]
J. KISS(B), Softw. Appl. (South Korea),
[909, 960, 1980,
1131]
J. Korea Inf. Sci. Soc. (South Korea),
[1258, 919]
J. Korea Inst. Telem. Electron. S (South Korea),
[1007]
J. Korea Inst. Telemat. Electron. (South Korea),
[1981]
J. Korean Inst. Telemat. Electron. South Korea),
[981]
J. Med. Chem.,
[317]
J. Neuroimaging,
[1147]
J. Object-Oriented Program. (USA),
International Journal of Intelligent Systems and Technologies, [2320]
International Journal of Man-Machine Studies,
[1998,
1090, 1430]
[1526]
J. Opt. Technol. (USA),
J. Sci. Food Agric.,
[288]
J. Shanghai Jiaotong Univ. (China),
J. Sound Vib. (UK),
[267]
[1119]
[821]
[71]
J. VLSI Signal Process, [1505]
J. Xidian Univ. (China),
J. Zhejiang Univ. (China),
[822, 1108]
[331]
Japanese Journal of Applied Physics,
[28, 83]
International Journal of Production Research,
[2300]
Japanese Journal of Applied Physics, Part 1,
International journal of Production Research,
[586]
Japanese Journal on Condensed Matter Research,
[844, 48]
[1188]
International Journal of Remote Sensing,
[618]
Jornal of the Acoustical Society of America,
International Journal of Systems Science,
[2135]
Journal of Agricultural and Food Chemistry,
[1840]
Journal of Analytical and Applied Pyrolysis,
[1428]
International Scientific Journal of Engineering Applications
of Artificial Intelligence”, [635]
Journal of Artificial Intelligence Research,
[63]
[207]
Journal articles
13
Journal of Biological and Information Processing Systems
(BioSystems), [694]
Math. Comput. Model. (UK),
Journal of Chemical Information and Computer Sciences,
Mech. Syst. Signal Process. (UK),
[2019, 1468]
Journal of Chemometrics,
Measurement,
[1962]
[1834]
Mechanical Systems and Signal Processing,
[156]
[486]
Mechatronics,
[2099]
Journal of Cybernetics, [2182]
Med. Image Anal.,
[394]
Journal of Dynamic Systems, Measurement, and Control,
Medical Engineering and Physics,
[580]
Medical Image Analysis,
Journal of Electron Microscopy,
Journal of Electronic Imaging,
[475, 1012]
Medical Physics,
[153, 1677, 1711, 2340]
Journal of Environmental Management,
Journal of Heuristics,
[650]
[1978]
[371]
[877, 1082]
Medical & Biological Engineering & Computing, [543, 2010]
Mem. Fac. Eng. Fukui Univ. (Japan),
[2317]
[2348]
Journal of Information Science and Engineering,
Journal of Information Sciences,
[2087]
[2344]
Journal of Infrared and Millimeter Waves,
Journal of Intelligent and Fuzzy Systems,
Journal of Intelligent Robot Systems,
[1539, 1125]
[294, 1419]
[2323]
Journal of Intelligent & Fuzzy Systems,
Memoirs of the Faculty of Engineering, Fukui University
(Japan), [2170]
Memoirs of the Faculty of Engineering, Okayama University, [2110]
Metabolomics,
[159]
Methods of Information in Medicine,
[227, 1366]
Microchem. J.,
Microw. Opt. Technol. Lett. (USA),
Journal of Lightwave Technology,
Midwest Symp Circuits Syst,
[1544]
Journal of Management Information Systems,
[132]
Mini-Micro Syst. (China),
Journal of Mathematical Imaging and Vision,
[1584]
Nature,
Journal of Molecular Biology,
[243]
Journal of Molecular Modeling,
[254]
Journal of Physics D: Applied Physics,
Journal of Sound and Vibration,
[2084]
[16, 19]
Journal of Systems Control Engineering,
Journal of Technical Physics (Poland),
[2172]
[1394, 1426]
[528]
Journal of the Astronautical Sciences,
[32, 39]
[1549]
Journal of the Audio Engineering Society,
Neural Networks,
[859, 1727]
NeuroImage,
[373]
Neuropsychobiology,
[252, 286]
New Electronics (UK),
[1791]
Nippon Kikai Gakkai Ronbunshu C Hen,
Noise Control Engineering Journal,
[1663]
Journal of the Acoustical Society of America,
[1890, 45, 1904,
1944, 1945, 1950, 1969]
Journal of the Franklin Institute,
[2018]
[1895]
Neural Network World, [1259]
[250]
Journal of Molecular Modelling,
[325]
[1452]
Journal of Japanese Society for Artificial Intelligence, [1209]
[329]
Journal of the Japanese Society of Artificial Intelligence,
[2119]
Nonlinear Analysis-Theory Methods & Applications,
Nucl. Technol. (USA),
[1736]
Operations Research,
[149]
Optica Applicata,
[1545]
Optical Engineering,
[438, 442, 523, 1576, 619, 662, 988,
1716, 1092, 2396, 1162, 1167, 1243]
Journal of Vibration and Acoustics,
[25]
Optics Communications,
Jpn. J. Fuzzy Theory Syst. (USA),
[942, 948]
Optics Letters,
[851, 989, 1469]
Optimization (UK),
[2062]
[631]
Knowledge and Information Systems,
Machine Learning,
[606]
[1083, 1107]
[1081]
Mater. Sci. Forum (Switzerland),
[658]
[962]
[1615]
Pattern Anal. Appl. (UK),
[183, 344]
[1405]
Pattern Analysis & Applications,
[1296]
Pattern Analysis & Applications,
[478]
Pattern Recognit. Image Anal. (Russia),
[1459]
Machine Vision and Applications,
Mater. Sci. Forum,
[134]
[1457]
Laboratory Investigations,
Optics Communication,
ORSA Journal on Computing,
[755]
[1106]
[226,
1367, 1404]
Optics and Lasers in Engineering,
Kikai Gijutsu Kenkyusho Shoho,
[1369]
[55]
Journal of the Optical Society of America A: Optics, Image
Science, and Vision, [362, 364, 366, 370, 395]
Kybernetes,
[1103]
Memoirs of the Faculty of Engineering, Fukui University,
[557]
Key Engineering Materials,
[1493, 1502,
1516, 1521, 1523]
Journal of Computational Physics,
Journal of Field Robotics,
[1527]
Pattern Recognition,
[383, 389]
[408, 426, 427, 1273, 1279, 465, 466,
479, 504, 514, 1300, 1302, 519, 531, 1825, 583, 155, 641, 672,
674, 202, 784, 825, 1371, 905, 945, 975, 1386, 1006, 1391,
279, 1077, 1416, 1140, 1156, 1174, 1194]
14
Pattern Recognition Letters,
[410, 105, 128, 129, 539, 540,
559, 571, 599, 621, 699, 194, 201, 1646, 203, 768, 212, 1896,
787, 789, 792, 215, 799, 927, 963, 993, 1975, 1000, 274, 1399,
1402, 1403, 1412, 1120, 1438, 1445, 335, 1187, 1237, 1247]
Physics Letters A,
Transactions of the Information Processing Society of
Japan, [1370, 1449]
Transactions of the Institute of Electrical Engineers of
Japan C,
[2376, 809, 1359, 930, 2143, 1392,
[17]
1401, 1105, 1203]
Power Syst. Technol. (China),
[1706]
Proc. Inst. Mech. Eng. I, J. Syst. Control Eng. (UK),
Transactions of the Institute of Electronics, Information and
Communication Engineers A (Japan), [776, 782]
[2145, 999]
Proceedings of IEE Vision, Image & Signal Processing,
[380]
Protein Engineering,
Transactions of the Institute of Electronics, Information,
and Communication Engineers D-II (Japan), [695,
[272, 278]
Protein Science,
[353, 358]
R. F. Des. (USA),
[1702]
Real Time Systems,
[1697]
Real-Time Imaging,
[469, 135, 1117]
704, 710, 974, 1009, 1726, 1018, 1047, 1070, 1095, 1122,
1155, 1227]
Remote Sensing of Environment,
and Communication Engineers of Japan D-II, [886]
Res. Rep. Kogakuin Univ. (Japan),
[793]
Transactions of the Institute of Systems, Control and Information Sciences, [1863]
[2015]
[2373]
Seimitsu Kogaku Kaishi,
Transactions of the Insttute of Electronics, Information, and
Communication Engineers A (Japan), [1723]
[2382]
Sens. Actuators A. Phys. (Switzerland),
Sensors and Actuators B,
[2049]
Transactions of the Socety of Instrument and Control Engineers, [1982]
[1292]
Signal Process Image Commun,
[388]
Signal Process. Image Commun.,
Signal Processing,
Transactions of the Institute of System, Control, and Information Engineers (Japan), [1348, 1384, 1172]
[555, 154, 167]
Reviews of Scientific Instruments,
Science,
Transactions of the Society of Instrument and Control Engineers (Japan), [714, 1869, 2134, 2079]
[387]
[1485, 1494, 1497, 1511, 1513, 1514,
1529]
Signal Processing (Netherlands),
Soft Computing,
Transp. Res. Rec.,
[2063]
[1591]
[33]
Statistics and Computing (UK),
Strain,
Transactions of the Society of Instrumient and Control Engineers (Japan), [972]
[1506]
Soviet Journal of Problems of Radio Electronics, ser. Electronic Computer Engineering (Voprosy Radioelektroniki.
Seriya Elektronnaya Vychislitel’naya
Tekhnika), [2048]
Speech Communications,
and Communication Engineers A (Japan), [251, 258]
[966]
[661]
Structural and Multidisciplinary Optimization,
Stud. Inf. Control (Romania),
Syst. Comput. Jpn. (USA),
[1345]
Tsinghua Science & Technology,
Ukr. Biokhim. Zh.,
[264]
Ultramicroscopy,
[1265]
Ultrasonics,
[27, 77]
VDI Berichte,
[1050]
Vibrational Spectroscopy,
[880, 1397, 2034]
[607]
[1317]
World Applied Sciences Journal,
[852]
[2070]
[654]
WSEAS Transactions on Computers,
The European Physical Journal Applied Physics,
The Journal of Systems and Software,
Trends in Biotechnology,
[2012]
[29]
[2330]
Systems and Computers in Japan,
Telematics and Informatics,
Transportation Research Record,
[2163]
[593]
WSEAS Transactions on Signal Processing,
[1500]
[1276]
The Journal of the Acoustical Society of America,
[12, 22,
30, 31, 35, 50, 56, 57, 1960, 61, 62, 69, 73, 74, 76, 84]
Trans. Inst. Electr. Eng. Jpn. C (Japan),
Z. Angew. Math. Mech. (Germany),
[2121]
total 826 articles in 435 series
[2116, 1052,
1176, 1178]
Trans. Inst. Electron. Inf. Commun. Eng. A (Japan),
[1721]
Trans. Inst. Syst. Control Inf. Eng. (Japan),
[1861, 2166]
Transaction of the Institute of Electronics, Information and
Communication Engineers A (Japan),
[191, 1641,
342]
Transactions of the American Nuclear Society,
[309]
4.3
Theses
The following two lists contain theses, first PhD
theses and then Master’s etc. theses, arranged in
alphabetical order by the name of the school.
PhD theses
4.3.1
15
PhD theses
Cardiff University,
4.3.2
[2026]
Catholic University of Nijmegen,
Columbia University,
[281]
Helsinki University of Technology,
[633]
Helsinki University of Technology,
Iowa State University,
Instituto Superior Tecnico,
Monash University,
[1548, 1712, 2003]
[2253]
Tampere University of Technology,
Technische Universität der Berlin,
[1605]
The University of Michigan,
[196]
Rice University,
[1873]
[758]
[629]
[2183]
University of California at San Diego,
[1755]
[2181, 1219]
[1465]
University of Kuopio,
[265]
University of Miami,
[683]
University of Oslo,
[1835]
University of South Australia,
The University of Iowa, [1250]
The University of Memphis,
[1561]
University of British Columbia,
[1462]
The Pennsylvania State University,
Penn State University,
Royal Institute of Technology,
[1665]
The Ohio State University,
[1099]
[1811]
[1484]
Politechnika Warszawska,
[24, 1829]
National Chung Cheng University,
[950]
New Jersey Institute of Technology,
Ohio University,
This list includes also “Diplomarbeit”, “Tech. Lic.
Theses”, etc.
[2095, 1235]
Eötvös Loránd University,
Master’s theses
[1958]
University of Vaasa,
[1144]
University of Virginia,
[1196]
Universität Erlangen-Nürnberg,
Vanderbilt University,
The University of Texas at Arlington,
[2186]
[1603]
[1220]
[1760]
total 18 thesis in 17 schools
The University of Texas at Austin,
[2097]
The University of Wisconsin - Madison,
University of Adelaide,
4.4
[1780]
[151]
The following list contains references to all papers published as technical reports. The list is
arranged in alphabetical order by the name of the
institute.
University of California, [1322]
University of Dortmund, [1033]
University of Granada,
Report series
[271]
Carnegie Mellon University,
University of Illinois at Urbana-Champaign,
[1343]
[220]
Chalmers Tekniska Högskola,
[1252]
University of Maryland, [589]
Ecole Normale Superieure,
University of Michigan, [1206]
Friedrich-Alexander-Universität Erlangen-Nürnberg, [1245]
University of Rhode Island,
George Mason University,
[14]
INRIA,
University of Sao Paulo, [75]
[731]
[348]
[1079, 1143]
Institute of Naval Medicine,
University of Turku,
[609, 1133]
University of Victoria,
[1597]
Utah State University,
[554]
Interdisciplinary Center for Supercomputing Research,
[2061]
MIT,
Virginia Polytechnic Institute and State University,
total 37 thesis in 32 schools
[2073]
[1216]
Naval Ocean Systems Center,
[2214]
[79]
Oak Ridge National Laboratory,
[1184]
Rensselaer Polytechnic Institute,
[1236]
16
University of British Columbia,
Hybrid learning process for neural networks, e.g. for pattern recognition in speech processing - uses combination of stochastic and deterministic processes for
optimizing system, [1331]
[2194]
University of Illinois,
[1775]
University of Joensuu,
[832]
University of Sussex,
[684, 2352]
Image converter, image conversion method, learning device,
learning method and transmission medium, [1175]
University of Vaasa,
[1109, 86, 1482, 2082]
Image processor,
University of Virginia,
[1454]
Image processing apparatus and ,ethod,
Universität Würzburg,
[686]
Image processing method and device,
[754]
Imaging system component design,
Patents
[518]
Machine learning procedures for generating image domain
feature detectors, [1205]
The following list contains the names of the
patents of genetic algorithms and signal processing. The list is arranged in alphabetical order by
the name of the patent.
A method for producing multilayered optical filters, comprising a method for operating a genetic algorithm,
[1571]
Acoustical treatment with diffusive and absorptive properties and process of design, [13]
Adaptive evolution type image compressing and encoding
decvice, [1157]
Adaptive image generation system,
[409]
Image processing method and device for the method, [1043]
total 24 reports in 19 institutes
4.5
[446]
[667]
Apparatus and method for analyzing target motion by genetic algorithm, [1979]
Manufacture of multilayer film filter utilizing genetic algorithm, [1553]
Method and apparatus for correcting image distortion removal for a plasma display panel using minimum
MPD distance code, [1040]
Method and apparatus for generating composites of human
faces, [715]
Method and apparatus for multi-sensor, multi-target tracking using a genetic algorithm, [1809]
Method and apparatus for optical data analysis,
[1129]
Method and apparatus for preforming mutations in a genetic algorithm-based underwater tracking system,
[65]
Method and device for evaluating character recognition device, [1352]
Method and device for generating musical sound waveform,
[2017]
Automatic freeway incident detection system using artificial
neural networks and genetic algorithm, [1271]
Method and device for processing image,
Circuit for motion estimation in digitized video sequence
encoders, [425]
Method and system for automated detection of clustered microcalcifications from digital mammograms,
Code compaction by evolutionary algorithm,
Coin identifying method and its device,
[1165]
[1146]
[495]
Method and system for determining a user profile,
[971]
Color generating method using genetic algorithm,
Method for analyzing cursive writing,
[130]
[1142]
[1036]
Constructing classification weights matrices for pattern
recognition systems using rediced element feature
subsets, [180]
Method for extracting outline and device therefor,
[1057]
Method for identifying non-linear system by genetic algorithm, [2088]
Design method for optical thin film and design device for
optical film, [1555]
Method for optimization of video coverage,
Device and method for detecting posture,
Method for optimizing mask using genetic algorithm for
pattern recognition, [1342]
[730]
[445]
Device and method for external character register for character recognition, [1433]
Method for processing image, and method for extracting
facial area and device therefor, [444]
Device and method for sentence phoneme recognition,
Method for voice analysis utilizing genetic algorithm, [1879]
[1368]
Face area detector,
Method of forming a template of an image of an object for
use in the recognition of the object, [1135]
[1126]
Face image displacement detection device,
[766]
Generating method for sound using genetic algorithm and
medium where program is recorded, [2036]
Multi-feature combination generation and classification
effectiveness evaluation using genetic algorithms,
[109]
Multi-valued dither matrix optimizing device,
Genetic algorithm for constructing and tuning fuzzy logic
system, [1406]
Heuristic method of classification,
[106]
[413]
Operation method for genetic algorithm and method for
manufacturing multi-layer film light filter using the
same, [1562]
Patents
Pattern recognition,
17
[1257]
Pattern recognition method and pattern recognition dictionary preparation method and device therefor, [1260]
Pattern recognition apparatus and method of optimizing
mask for pattern recognition according to genetic
algorithm, [1093]
Signal processor,
[1856]
Signature recognition system,
Speaker verification system,
[1421]
[1387]
Stream of people analyzing method,
[1807]
System and method for improving digital video utilizing genetic image evolution, [501]
System for attenuating high order free surface multiples
from a seismic shot record using a genetic procedure, [1810]
Use of a genetic algorithm to optimize memory space, [1971]
Waveform data compressing method,
total 61 patents
[1914]
18
Authors
4.6
19
Authors
The following list contains all genetic algorithms and signal processing authors and references to their
known contributions.
, W. K. Jenkins,
[1592]
Aguilar, R.,
[131, 158]
Alçi, M.,
[1638]
[1640]
Aarabi, P.,
[510]
Aguirre, Hernan,
[428]
Alci, M.,
Abbas, Tawfiq A.,
[164]
Aguirre, Hernán,
[553, 585]
Alecu, L.,
[887]
Aherne, F. J.,
[1381, 1398]
Alexander, Winser E.,
[1071]
Ahluwalia, Manu,
[222]
Alexandridis, Thomas K.,
Ahmad, I.,
[921]
Ahmad, M.,
[2161]
Ahmad, Sabbir U.,
[1597]
Ahmadi, M.,
[1994, 1754]
Ahmed, Mohamed N.,
[2258, 1174]
Ahmed, S.,
[2258]
Ahn, Byung-Ha,
[1314]
Ahn, Seonha,
[1980]
Ahn, Sunah,
[1169]
Ahour, M. A.,
[1580]
Ai, Chen,
Aiazzi, B.,
Abbattista, Fabio,
[670, 737,
2242, 1896]
Abbattista, Nicola,
[720]
Abbott, R. J.,
[2231, 1886]
Abdulghafour, M.,
[947]
Abe, M.,
[1707]
Abe, Yuichi,
[1020]
Abedi, Saied,
[2359, 1820]
Abellard, Alexandre,
[2315]
Abel-Wahab, A. H.,
[2169]
Abidi, Mongi A.,
[2297]
Abramson, Myriam,
[221]
Absaloms, H.,
[809]
Abu-Alola, A. H.,
[671]
Abushagur, Mustafa A. G.,
[962]
Abutaleb, Ahmed S.,
[1510, 399]
Accornero, N.,
[2349]
Adgar, A.,
[2109]
Adler, Dorit D.,
[877, 247,
1082]
Ait-Boudaoud, D.,
Al-Hashimi, B. M.,
[172]
[1737]
Ali, Fath El Alem Fadlallah,
[759,
797, 801, 863, 933, 942, 1031, 1034,
1044, 1170]
Ali, N. A.,
[653]
Ali, Samaher Hussein,
[164]
Alimi, A. M.,
[946]
Alkanhal, Majeed A.,
[1514]
Allen, L.,
[2050]
Allred, Lloyd G.,
[1182]
Alparone, L.,
[1112]
Al-Rawi, Mohammed,
[1596]
[1426]
Alshebeili, Saleh. A.,
[1514]
[1112]
Alvarez, A.,
[17]
Aly, Nabil M.,
[170]
Amaral, J. A. A. do,
[296]
[1622, 1631,
1771, 1772]
Aizenberg, I.,
[367]
Aizenberg, N.,
[367]
Amaral, Joao A. Arantes Do,
Akahori, Hiroshi,
Akamatsu, N.,
[773]
[1284, 1361,
934]
Amburn, Philip,
[1146]
Amin, H.,
[640]
Amir, A.,
[1424]
Ammar, Hany H.,
[429]
Amphlett, Robert W.,
[1868]
Anam, Sarawat,
[664]
Adragna, Frédéric,
[496]
Aebischer, K.,
[150]
Affenzeller, Michael,
[1492]
Agah, Arvin,
[537]
Anandarajan, M.,
[132]
Agapie, A.,
[2122]
Akiho, Masaichi,
[1708]
Anarim, E.,
[812]
Agati, P.,
[1842]
Akiyama, T.,
[948]
Anderson, A. P.,
[1857]
Aladjidi, Alexis,
[1629]
Anderson, J. M.,
[1995]
[1838]
Anderson, Jessica,
[2016]
Agbanhan, Julien,
[2334, 1138,
Akarun, L.,
Akazawa, Kenzo,
Aketa, Yoshihiro,
[397]
[15]
[1632, 1652,
1673, 1688]
2348]
Ala-Kleemola, Timo,
Aggarwal, R. K.,
[1988]
Agnelli, Davide,
[129]
Lagoda, Ryszard,
[2090]
Alander, Jarmo T.,
[2206, 508,
1570, 2208, 1306, 2314, 542, 575,
2213, 627, 649, 2218, 662, 1867,
1902, 951, 1109, 2274, 1179, 1180,
86, 361, 1482, 2082, 2294]
Agrawal, Ram Bhushan, [2339]
Agrawal, V. K.,
Agui, Takeshi,
[131, 158]
Al-BaBa, Luaie A.,
[2053]
Albert, Keith J.,
[1292]
Albizuri, F. X.,
[484]
[669, 378,
800, 1227, 1228]
Aguilar, J.,
Alayón, S.,
[1268]
[1405]
[297]
Anderson, Jonathan D., [1499]
Anderson, Peter G.,
[558, 567,
576, 180]
Andre, David,
[1859, 1338,
223, 1699, 300]
Andres, Bonifacio de,
Andrey, Philippe,
[2083]
[672, 731,
1080, 403]
Anelli, G.,
[835, 1735]
20
Anelli, P.,
[310]
Attakitmongcol, Kitti,
[1500]
Ballerini, Lucia,
Ang, Yew-Hock,
[2243]
Aumeier, S. E.,
[1736]
Angeletti, Cesar,
[606]
Aurengo, Andre,
[685, 975]
Angeline, Peter J.,
[2156]
Auslander, David M.,
[423]
Anma, Y.,
[1102]
Avila-Alvarez, M.,
Annunziato, M.,
[163]
[505, 536,
561, 1593, 602, 611, 2272, 1171]
Bancroft, C.,
[2032, 2041,
2043]
Ansorge, Richard,
Antoni, Degli G.,
Anzai, Kenji,
Aoki, Masakatsu,
Aoki, Y.,
[791, 308]
Aoyagi, Yuji,
[810, 904,
2334, 1103, 2348]
[560]
Bang, Sung-Yang,
[87]
Awad, Mohamad,
[168]
Awadeen, E.,
[653]
Bangalore,
Shanthamallikarjuna
Shivappa, [1484]
Ayachi, Naufel,
[1603]
Ayers, L.,
[56]
[1895]
[2149]
Barhen, Jacob,
[544, 545]
Barklund, Jonas,
[1917]
Bar Natan, V.,
[2396]
Barnard, S. T.,
[2044]
Baronti, S.,
[1112]
Barreto, Jorge M.,
[1895]
[2369]
Barrios, Victor,
[1189, 1190]
Bae, Dae Gyu,
[960]
Bartels, Rudi,
[457]
Bae, Tae-Min,
[2346]
Bartenstein, P.,
[749]
Bai, Mingsian R.,
[22, 25]
Barton, Geoffrey W.,
[2139]
Bai, Yukun,
[1564, 1569]
Basar, Tamer,
[2118]
Basch, B. F.,
[2362]
Baidak, Igor,
[2160]
Baskent, Deniz,
[1837]
Bassett, Edward M.,
[1954]
Bast, T.,
[2035]
Bastian, A.,
[2142, 2157]
[932, 937, 944]
Babu, G. Phanendra,
[335]
Araujo, Lourdes,
[1819]
Babu, T. Ravindra,
[519]
Archibald, James K.,
[1499]
Backer, E.,
[416]
Armingol, J. M.,
[1295]
Arney, Jonathan S.,
[558, 567, 576]
Arnold, Mark A.,
[1682]
Arslan, T.,
[534, 548,
1591, 2236, 1633, 1653, 794, 1903,
1905, 888, 1937, 929, 1951, 1700,
1972, 2013]
Arslan, Tughrul,
[634]
Arus, C.,
[232]
Asai, Kiyoshi,
[1370]
Asai, Satoru,
[844]
Backer, Steve De,
Baczmanski, A.,
[462, 540, 539]
[998, 1081,
1106]
Badertscher, André,
Baidyk, Tatyana N.,
[750]
Baidyk, Tatyana,
[1448]
Baker, J. A.,
[914]
Baker, J. B.,
[1060]
Baker, James Edward,
[1183, 1184]
Baker, Philip N.,
[159]
Asbury, Christopher T., [180]
Bakken, Gregory A.,
[1292]
Ashida, Y.,
Bala, Jerzy W.,
Asakura, T.,
[2170]
Asakura, Toshiyuki,
[810, 904,
2334, 1103, 1138, 2348]
[1869, 1898,
1935]
Ashlock, Dan,
[745, 772,
829, 911, 282, 1111]
[742, 225,
1188]
[288]
Arakaki, Kouichi,
243, 278]
[1325]
Barcia, Ricardo M.,
[1373, 982]
[185, 229,
Banghua, Yang,
Barba, Dominique,
Baba, Takeharu,
Argos, Patrick,
[204]
[1311]
[774]
[1858, 190,
Bangham, J. A.,
Banzhaf, Wolfgang,
Azevedo, Fernando M. de,
Arai, Fumihito,
1222]
[126,
194, 224, 246, 329]
Bandyopadhyay, S.,
Baba, Mitsuru,
Argast, J. D.,
[307]
Bandyopadhyay, Sanghamitra,
[452]
[813]
[1036, 2036]
Bandyopadhaya, Sanghamitra,
Avrithis, Y. S.,
[518]
[1966]
[2130]
Batouche, Mohamed Chaouki,
[213, 847,
1357, 905, 1378, 1185, 1186, 1453,
1187, 1198, 2351]
Balaji, N.,
[1841]
[804, 384]
[588,
587, 601]
Bauer, P.,
[906]
Bauer, T.,
[1922]
Baumgart-Schmitt, R.,
[252, 286]
Bavilacqua, A.,
[483]
Baylog, John G.,
[65]
Bazi, Yakoub,
[166]
Beadle, P. J.,
[1880]
Beattie, R. S.,
[2232]
Ashrafzadeh, F.,
[1734]
Balas, G. J.,
Aspiazu, J.,
[811]
Balasubramaniam, Krishnan,
[709, 1675]
Baldwin, J. F.,
[1037]
Beatty, P. C. W.,
[99]
Astola, Jaakko,
[1611, 1639]
Balestrino, A.,
[1936, 242]
Beauchamp, James,
[1942, 1952]
Atalay, V.,
[830]
Balkir, S.,
[560]
Beaulieu, Jeffrey,
[657]
Atluri, Venkata,
[318]
Ball, A. D.,
[1976, 280]
Bebermeyer, R.,
[1847]
Astola, Jaakko T.,
[862]
Authors
Bebis, George,
21
Bertrand, Dominique,
[530]
Blume, H.,
[288]
[1964, 1026,
1050]
Becker, Douglas E.,
[1236, 1529]
Bes, F.,
[252]
Beckerleg, M.,
[2220]
Beth, Thomas,
[1993]
Bedi, J. S.,
[1955]
Beule, Dieter,
[1996]
Begum, Momotaz,
[2319, 2325]
Beveridge, J. R.,
[448, 1062]
Beligiannis, Gregory N., [1491]
Bewley, Tom,
[2392]
Bell, M. G. H.,
[1995]
Bezdek, James C.,
[301]
Bell, Michael,
[2016]
Bezerianos, A.,
[1918]
Bell, S.,
[1280]
Bellaaj-Mrabet, N.,
[2163]
Bellifemine, Fabio,
[425]
Belmontmoreno, E.,
[811]
Bhandari, Dinabandhu,
Benahmed, N.,
[1294]
Bendu, Bai,
[1272]
Benediktsson, Helgi,
[324]
Benediktsson, Jon A.,
[226, 324]
Benner, Steven A.,
[673]
Bhanu, Bir,
[372, 641,
667, 732, 734, 2290]
Bhattacharjya, Anoop K., [675, 1236,
1529]
[273]
Bennett III, Forrest H.,
[674,
2256, 1023, 1089, 1153, 1254]
[445]
[2310]
[536, 561,
602, 611]
Bodén, Ida,
[361]
Bodenhofer, U.,
[906]
Boeck, B. De,
[1431]
Boër, M.,
[488]
Boggess, J. E.,
[815]
Bogner, Robert E.,
[238, 275]
Bollano, Gianmario,
[425]
Bollini, Alessandro,
[129]
Bona, B.,
[955]
Bond, Alan B.,
[528]
Bontempi, Bruno,
Bian, Zhaoqi,
[1191]
Bichkar, R. S.,
[1517]
Bicking, F.,
[2117]
Biemond, J.,
[1192]
[453, 223,
1699, 300]
Boada, Beatriz,
[699, 728,
Bhandarkar, Suchendra M.,
Ben, Mordechai Ido,
[1988]
Bocchi, L.,
1339, 1239, 1240]
Bhanu, B.,
Bo, Z. Q.,
[1332, 718,
735]
Booth, D. M.,
[1041]
Booth, David,
[437]
Borek, S.,
[596]
Borel, C. C.,
[816]
Borgarino, M.,
[2014]
Borghese, N. A.,
[2307]
Benslimane, R.,
[2254, 327]
Bien, Zeungnam,
[893]
Benson, Karl,
[437]
Bienvenu, G.,
[59]
Benton, R. G.,
[1870]
Bilbro, Griff L.,
[1193]
Born, George H.,
[1668]
Beretta, M. L.,
[733, 813]
Billert, Oleg,
[1576]
Borsi, H.,
[1947]
Berg, P.,
[2035]
Billings, S. A.,
[2158, 1523]
Bortolot, Zachary J.,
[2214]
Bergman, Aviv,
[2044]
Bills, Trent,
[676]
Bortolozzi, F.,
[1294, 1319]
Beritelli, Francesco,
[1871]
Bingulac, Stanoje,
[2124]
Bosch, E. H.,
[230]
Berke, W.,
[2181]
Bini, M.,
[458]
Bosco, Giosué Lo,
[135]
Berketis, K. G.,
[1701]
Biondi, J.,
[336]
Bose, Tamal,
[1495]
Bossard, Jeremy A.,
[1594]
Bossomaier, Terry,
[760]
Berketis, Konstantinos G.,
Berkey, F. T.,
Berkey, Frank T.,
Berkey, Telford S.,
[1491]
[2342]
[1146]
Bernadó i Mansilla, Ester,
Bishop, Robert H.,
[1549, 1654,
1725]
[1072]
[1434]
Blanchard, Andrew,
[91]
Bot, Martijn C. J.,
[94]
Blanco, Dolores,
[2310]
Botelho, P. L.,
[296]
Blanz, W. E.,
[1194]
Botelho, Pedro L.,
[297]
[29]
Botteldooren, D.,
[38, 51]
Bernard, R. N.,
[2390]
Blasco, X.,
Berndt, D. J.,
[150]
Blatter, G.,
[2357]
Bottelsooren, Dick,
[69]
Berry, A.,
[63]
Bloch, G.,
[2117]
Bouchouicha, Moez,
[2315]
Berry, Alain,
[57]
Bloch, Jeffrey J.,
Boudreau, Roger,
[362]
Boughorbal, Faysal,
[2297]
Berry, Lee,
[101, 467,
133, 139, 1154]
[2358]
Bersano-Begey, Tommaso F.,
228, 910, 249]
Bloch, Jeffrey,
[1584]
Boulanger, Paul,
[625]
Bloemer, A.,
[1214]
Boulanger, Pierre,
[608]
[814,
Bertini, I.,
[163]
Blonda, P.,
[310]
Bounsaythip, Catherine, [951]
Bertram, Robert R.,
[939]
Bloy, Luke,
[645]
Bourbakis, N. G.,
[596]
22
Bourgeois-Republique, Claire,
[1839]
Buczak, Anna L.,
[253]
Cameron, George G.,
[385, 912,
1511, 1724, 390, 392]
Boussard, Randy P.,
[892]
Bui, T. D.,
Boutheiller, N.,
[1542]
Bukatova, Innesa L.,
[716, 2284]
[2045, 2046,
2047, 78, 2048]
Bouthemy, Patrick Pérez,
Bouzerdoum, Abdesselam,
[96]
Bull, D. R.,
[238, 275]
Bove, Jr., V. Michael,
[2260]
Bowen, James,
[2385]
Boyd, R.,
[1195]
Boyer, Kim L.,
[2212, 573,
578, 579, 594, 612, 617, 376]
[1532, 1714,
1717, 1731]
Bull, David R.,
[1629, 1868,
1649, 1670, 870, 1685, 1684]
Bull, Larry,
[144]
Bullock, Michael E.,
[1604]
Bundaleski, Nenad K.,
[1533]
Boyle, Roger D.,
[369]
Bunke, H.,
[1377]
Bramer, M. A.,
[928]
Bunting, U.,
[2233]
Branch, John W.,
[608]
Burgin, George H.,
[2182]
Branch, John William,
[625]
Burlinson, S.,
[111]
Braun, H.,
[762]
Burman, Jerry A.,
[977, 1437]
Breunig, Markus M.,
[1341]
Burnham, K. J.,
[2136]
Bridges, S. M.,
[309]
Burns, A.,
[111]
Brigger, P.,
[736]
Burrows, A. P.,
[200]
Butler, Darren,
[748, 978]
Buxton, Bernard,
[843]
Bright, M. S.,
[1903, 1905,
1937, 1951, 1972, 2013, 2026]
Brill, Frank Z.,
[1454, 1196]
Brittnacher, M. J.,
[1060]
Broggi, A.,
Brooks, A.,
Brooks, Art,
Brooks, Richard R.,
Buydens, Lutgarde M. C., [277, 1468]
Campanini, R.,
[483]
Campbell, J. A.,
[2037]
Campbell, M. L.,
[2231]
Cannarozzi, Gina,
[273]
Cantú-Paz, Erick,
[104]
Cantwell, Gregory W.,
[554]
Cao, Y. C.,
[979]
Caorsi, Salvatore,
[447, 1150]
Caponetti, Laura,
[720, 737]
Caponetto, R. C.,
[2108]
Caponetto, R.,
[1621, 2052]
Capozza, M.,
[2349]
Carapella, G.,
[720, 737]
Carazo, J. M.,
[261]
Carbonaro, Antonella,
[2268]
Carbone, P.,
[1834]
Cardilli, F.,
[2242]
Cardoso, F. D. S.,
[2391, 2394]
Carin, Lawrence,
[1534, 108]
Carol, Mark P.,
[1887]
Buzuloiu, V.,
[953]
Carpenter, Thomas Adrian,
[2398, 2399]
Byun, Yungcheol,
[103, 121]
Carr, S.,
[66]
[2358]
Cabello, D.,
[424]
Carreno, D.,
[956]
Cabello, J. Ruiz,
[484]
Carrier, Jean-Yves,
[819]
Cabestaing, François,
[1015]
Carvalho, Claudio Chamma,
Cagnoni, Stefano,
[1001, 400]
Casale, Salvatore,
[1871]
Cai, H.,
[1965]
Casao, Jorge Gasos,
[2049]
Cai, Wen-Sheng,
[1163]
Castagnoli, Guiseppe,
[2345]
Cai, Zesu,
[2320]
Castellanos, N. P.,
[565]
Cai, Zi-xing,
[2321]
Castro, Jesus Silva,
[1906]
Caulfield, H. John,
[1647, 1469]
Cauvin, Jean-Michel,
[538]
[835, 1735]
[544, 545,
1924, 925]
[518]
Broussard, Randy P.,
[1146]
Brown, Donald E.,
[1454]
Brown, J. R.,
[290]
Brown, Joe R.,
[293]
Browne, David G.,
[2253]
Browse, Roger A.,
[1446]
Bruce, Peter D.,
[2164]
Bruckstein, A. M.,
[1436]
Cain, G.,
[1919]
Cavanaugh, Joseph E.,
[1256]
Brueckner, Adrian,
[610]
Cain, Greg,
[1666]
Cecconi, F.,
[820]
Cairns, Paul,
[113]
Cemes, R.,
Caiti, A,
[1936]
Calafiore, G.,
[955]
Calderon, Felix,
[623]
Callaghan, M. J.,
[2301]
Brumby, Steven P.,
[1540, 101,
467, 116, 133, 139, 142, 1154]
Brumby, Steven,
Brunauer, Leonhard,
Brunnstrom, K.,
Bryant, Bruce D.,
[1584]
Cain, G. D.,
[2050, 2051,
1768]
[169]
[1351]
[1845]
Calloway, David L.,
Brzozowski, D.,
[1290]
Buckles, Bill P.,
[215, 907]
[1622, 1631,
1771, 1772]
Cerdan, S.,
[232]
Cerveri, P.,
[2307]
Chabrier, S.,
[377]
Chacraborty, B.,
[319]
Chacraborty, G.,
[319]
Chaer, Wassim S.,
[1654, 1725]
[1599, 1769,
1770]
Caloba, L. P.,
[1531]
[296, 297]
Authors
23
Chahine, Georges,
[486]
Cheatham, John B.,
[1909, 1910]
Chen, Wen-Jan,
[1092]
Chahravarty, Sourav,
[1546]
Chehdi, Kacem,
[168]
Chen, Xiao,
[1101]
Chai, Bing-Bing,
[1350, 1371]
Cheldavi, A.,
[1990]
Chen, Y. C.,
[138]
Chai, Jinxiang,
[2271]
Chellapilla, K.,
[1515]
Chen, Y. H.,
[363, 334]
[1049]
Chakraborty, Samarjit, [1085]
Chellapilla, Kumar,
[1729]
Chen, Yen-Hung,
Chakraborty, Uday,
[165]
Chellappan, C.,
[1354, 1364]
Chen, Yen-Wei,
Chakrapani, Y.,
[666]
Chellappen, C.,
[2245]
Chalasińska-Macukow,
Katarzyna,
Chelvanayagam, Gareth, [273]
[1545, 1713]
Chalermwat, Prachya,
[511, 1116,
1173]
Chen, B.,
[2020]
Chen, Bor-Sen,
[1485, 1487]
[1826, 759,
785, 2249, 797, 801, 802, 803, 863,
864, 897, 903, 902, 932, 933, 937,
938, 941, 942, 943, 944, 806, 1021,
1031, 1030, 1034, 1035, 1044, 312,
1170]
Chen, Yeong-Chinq,
[1302]
Chen, Ying,
[544, 545]
Chen, Yung-Yaw,
[2094]
Chan, Andrew,
[119]
Chen, C. C.,
[127]
Chan, C. H.,
[1565]
Chen, C. H.,
[2004]
Chen, Y.-W.,
[1287]
Chan, C. Y.,
[1697]
Chen, Chin-Hsing,
[299]
Chen, Zhanqing,
[582]
Chan, David Yuk-Ming, [1118]
Chen, D.,
[421]
Cheng, H. D.,
[363]
Chan, Heang-Ping,
[233, 877, 247]
Chen, F. J.,
[1497]
Cheng, Heng-Da,
[784, 1049]
Chan, Hing,
[20]
Chen, G.,
[1962]
Cheng, Philip,
[2105]
Chan, K. K.,
[2230]
Chen, Guanrong,
[1551]
Cheng, Po-Jen,
[1092]
Chan, King Choi,
[195]
Chen, H. X.,
[1104]
Cheng, Shu-Chen,
[147]
Chan, R.,
[2244]
Chen, Houjin,
[636]
Cheng, Y. T.,
[1408]
Chan, S. C.,
[1490]
Chen, Hua-Mei,
[491]
Cheng, Yuh-Min,
[1304]
Chan, San-Kuen,
[1945]
Chen, Huihuang,
[836]
Chenggang, Duan,
[821]
Chan, Yuen-Chuen,
[366]
Chen, J. R.,
[1923, 1968]
Chengke, Wu,
Chan, Zeke S. H.,
[1567]
Chandy, D. Abraham,
[1324]
Chang, C. S.,
[1732]
Chang, Chein-I.,
[1151]
Chang, Eric I.,
[1466, 1467,
1216]
Chang, Ming-Wei,
[28]
[822, 1058,
2025, 1108]
Chen, Jen-Ming,
[2333]
Chen, Jianhua,
[1924, 925]
Chen, Jim X.,
[498]
Chen, Jinshu,
[489]
Chen, Jun,
[309]
Cheung, H. L.,
[1541]
Chen, K. M.,
[1847]
Cheung, N.-M.,
[1944, 58]
[432]
Chern, Gia-Wei,
[370]
Chernobaev, A. A.,
[389]
Chetverikov, Dmitry,
[584, 600,
604, 605, 616, 620, 621, 635, 648]
Chang, Ni-Bin,
[650]
Chen, Kan,
[1442]
Chi, Zheru,
Chang, Seok C.,
[1314]
Chen, Kun-Mu,
[1891]
Chiam, Tze-Liang,
[2243]
Chang, Shih-Fu,
[411]
Chen, Li,
Chiang, ShaoShan,
[1151]
Chang, Wen-Whei,
[1815, 1817]
Chang, Ying-Chun,
[26]
Chao, Yuyan,
[443]
Chartier, Vernon L.,
[1804]
Charvillat, Vincent,
[738]
Chatterjee, Amitabha,
[1391]
Chau, C. W.,
[1300, 1946,
[2342, 1072,
337]
Chia-Shun, Lai,
[340]
Chen, Mu-Chen,
[2300]
Chiba, Shinji,
[118]
Chen, Mu-Yueh,
[28]
Chiou, De-Yi,
[28]
Chen, Nianyi,
[1388]
Chiroiu, C.,
[2084]
Chiroiu, V.,
[2084]
Chitre, Yateen,
[827]
Chiu, Chien-Chien,
[817, 908]
Chiu, Min-Chie,
[26]
Chiu, Patrick,
[453]
Chen, Peng,
[1805, 40,
1921]
Chen, R. J.,
[1626]
Chen, S. M.,
[138]
1956, 1390, 1418]
Chen, S.,
[1977, 1518,
Chaudhary, Shahbaz,
[456]
Chaudhuri, P. Pal,
[1312]
Chen, Sheng-Jhe,
[171]
Chmumy, J.,
[1259]
Chaudhury, Santanu,
[1391]
Chen, T. M.,
[1494]
Cho, K. H.,
[1776]
2028]
24
Cho, Kyung Ho,
[919]
Cho, Maeng Sub,
[976]
Cho, Sung Jin,
Cho, Sung-Bae,
Claridge, Ela,
[1575, 1578,
562, 563, 574, 592, 2216]
Clarke, L. P.,
[890, 1147]
Clarke, Laurence P.,
[869]
Clauer, C. R.,
[1060]
[317]
[541, 1363,
1067, 1131, 1447]
Cordón, Oscar,
[112]
Corno, Fulvio,
[1818]
Costa, Crisostomo W. A.,
[1531]
Costas, Adrian,
[157]
Couchman, Luise S.,
[61]
Choi, Boung Mo,
[1581]
Clauss, W.,
[2015]
Couchman, Luise,
[108]
Choi, Christopher,
[957]
Clausse, Alejandro,
[1489]
Covic, Grant,
[1830]
Choi, Ju-Yeop,
[2124]
Clement, Stuart J.,
[1958]
Cowan, C. F. N.,
[1506]
Choi, Sunghyun,
[1938]
Cliff, David T.,
Cox, Trevor J.,
[13]
Craciunescu, T.,
[887]
Crain, Timothy P.,
[1549]
Crawford, Kelly,
[1810]
Crebbin, G.,
[381]
Crilly, Paul B.,
[2053, 2054]
[684, 722,
2281, 2352]
Choi, T. W.,
[1907]
Choi, Y.,
[19]
Choi, Yeongwoo,
[103, 121]
Chongstitvatana, P.,
[2247]
Chou, J. L.,
[1134]
Chou, You-Li,
[1304]
Chow, C. L.,
[823]
Chow, Chi Kin,
[2210, 583]
Chow, Keith Hung-Kei, [1215]
Coelho, Regina Célia,
[135]
Coghill, George,
[1830]
Cohen, A.,
[2030]
Cohn, Robert W.,
[364]
Coleman, C. M.,
[2362]
Cristea, A.,
[259]
Coleman, Tommy L.,
[318]
Crompton, W.,
[1843, 2055]
Coleman, Tommy,
[613]
Cross, Andrew D. J.,
Coley, D. A.,
[2233]
Collaro, Antonio,
[395]
Collet, Christophe,
[96]
Collet, Pierre,
[1839]
[2220]
Choy, Clifford S. T.,
[404]
Choy, Wing Yiu,
[2019]
Chtioui, Younes,
[288]
Collins, J.,
Chu, C. H.,
[1860]
Collins, Steve M.,
Chu, C. Y.,
[1697]
Chu, Chee-Hung H.,
[677]
Chu, Chee-Hung Henry, [1773]
Chu, T.,
Chu, Tsuchin,
Chuang, Ho-Chin,
Chun, Dae Nyung,
Chung, C. Y.,
[2313]
[414, 485, 580]
[619]
[825, 909]
[1853, 1634,
1507, 1759, 1766]
Cruickshank, David R., [1668]
Cubillo, James,
Cucchiara, Rita,
[764, 1241,
1242]
[408, 1349,
1372, 945]
[437]
[1498, 1083,
1197]
Cui, Jinshi,
[590]
Cui, Yuntao,
[2265, 1107]
Cummock, J. A.,
[1060]
Cusick, T. A.,
[1720, 1748]
Custodio, L. M. M.,
[2391, 2394]
Colmenares, A.,
[1405]
Comely, Richard,
[678, 679]
Comrier, Gabriel,
[362]
Cwik, Tom A.,
[1761, 1763]
Conci, Aura,
[651]
Cwik, Tom,
[1728, 1752]
Concilio, Antonio,
[41, 46]
Cyran, Krzysztof A.,
[90]
Congdon, Clare Bates,
[196]
Cytowski, Jerzy,
[959]
Conrad, Michael,
[1340]
Czarnecki, C. A.,
[824]
Consonni, Viviana,
[146]
Czúni, Lászlo,
[469]
Chung, D.,
[19]
Constantinides, A. G.,
[2244]
Daemi, M. F.,
[702]
Chung, Eui-Yoon,
[2346]
Conti, V.,
[614]
Dagless, E.,
[1532]
Chung, F. L.,
[1408]
Contini, Fabrizio,
[1920]
Dahl, Peter H.,
[23]
Chuzhanova, N. A.,
[289]
Cook, Diane J.,
[2279]
Dai, Ping,
[2106, 2136]
Ciarallo, F. W.,
[2329]
Cooke, B. J.,
[816]
Dai, Y. S.,
[1104]
Cicalese, F.,
[227]
Cooley, D.,
[1072]
Cicalese, Ferdinando,
[294]
Cooley, Donald H.,
[2342, 337]
Daido, Yosimasa,
[2008]
Cieni, Wen-Jan,
[2040]
Cootes, T. F.,
[752]
Daktariunas, A.,
[1119]
Cinque, Luigi,
[1498]
Cootes, T.,
[2282]
D’Alessandro, Maryann, [1824]
Ciuca, I.,
[259]
Corcoran, III, Arthur Leo,
Cladel, Nicolas,
[568, 577]
Cordón, O.,
[186]
[566, 375]
Daida, Jason M.,
[456, 771,
228, 910, 249, 939, 1060]
Daley, M. L.,
[1503, 1774]
Damas, S.,
[566, 375]
Authors
25
Damper, R.,
[2064]
Del Angel, P. L.,
[565]
Dobrin, Bogdan P.,
[709]
Damper, Robert I.,
[1387]
Delport, Volker,
[1872, 1939]
Dobrzeniecki, A. B.,
[400]
Danaher, Sean,
[210, 244]
Delsanto, P. P.,
[2084, 47]
Doi, K.,
[855]
De Stefano, Claudio,
[128]
Dokur, Z.,
[313, 332]
De Wulf, Robert R.,
[167]
Dokur, Zümray,
[122, 547]
Dema, S.,
[1929]
Dolia, Alexander N.,
[1313]
Demirekler, M.,
[1991, 1432]
Dong, Jun Feng,
[2318, 2324]
Dempster, Andrew G.,
[1512]
Dong, Zhao Yang,
[1984]
Deng, Hsu-Cheng,
[28]
Dongsheng, Chu,
[2152]
Denney, G.,
[290]
Donovan, Timothy P.,
[1096]
Denney, Guy,
[293]
Dooley, L. S.,
[1094]
Dennis, T. J.,
[2273, 1210]
Dorado, Julián,
[552]
Dennis, Tim J.,
[952]
Dorey, Robert E.,
[2198, 2199]
Depczynski, Uwe,
[2031]
Dorigo, Marco,
[2372]
Dequn, Liang,
[900]
dos Santos Coelho, L,
[2177]
DeRouin, E.,
[290]
Douglas, T. S.,
[543]
Derouin, Edward E.,
[293]
Doulamis, A. D.,
[452]
Dandekar, Thomas,
[185, 229,
243, 250, 254, 278, 283]
Daniel, Sylvie,
[597]
D’Anjou, A.,
[484]
D’Antonio, Peter,
[13]
Daoudi, Khalid,
[1862]
DaPonte, John S.,
[1000]
Daponte, John S.,
[1059]
Darrell, Trevor,
[690]
Darwish, M. K.,
[1574]
Das, Arijit,
[1312]
Das, Subhodev,
[734]
Das, Swagatam,
[165, 656]
Dasarathy, Belur V.,
[1330, 681,
1243]
Dasgupta, Dipankar,
Desimo, Martin P.,
[1146]
Doulamis, N. D.,
[452]
[422, 1223]
[173]
Dowd, Philip,
[1534, 108]
Dessert, Patrick E.,
[366]
Dasgupta, Nilanjan,
Destri, G.,
[835, 1735]
Downey, Thomas J.,
[1333]
Devi, V. Susheela,
[471]
Doyle, James F.,
[1844]
Dozier, Gerry V.,
[2385]
Draa, Amer,
[588, 587, 601]
David, R. A.,
[1777]
Davidson, C. E.,
[1290, 123,
1308, 1317]
Dhaenens-Flipo, Clarisse,
Davidson, Jennifer L.,
[745, 772,
829, 911, 282, 1111]
[1320]
Dhawan, Atam P.,
[700, 202,
827, 1200, 1201]
Drake, Keith C.,
[2226]
Davies, E. R.,
[2237]
Dickinson, T.,
[1407]
Drupp, Robert P.,
[1594]
Davis, Anthony B.,
[1540]
Dickmann, D.,
[828]
Duan, Huilong,
[304]
Davis, Lawrence,
[338]
Diederich, J.,
[320]
Ducksbury, P. G.,
[1041]
Dawoud, M. M.,
[1857]
Diederiks, Elmo M. A., [130]
Duda, Richard O.,
[115, 125]
Dayton, D. C.,
[1778]
Diekmann, R.,
Dumont, Guy A. M.,
De, Susmita,
[761]
Digimont, Stephanie,
[425]
Deb, Kalyanmoy,
[1085, 1775]
DiIanne, M.,
[828]
Debon, Renaud,
[538]
Dileo, Christopher,
[2276]
DeBrunner, V.,
[470]
Di Stefano, G.,
[682]
Decarvalho, A. C. P.,
[1409]
Dimarki, T.,
[99]
deCastro, L. N.,
[321]
Dipanda, A.,
[2361]
[913]
DeCegama, Angel,
[2067]
Dissanayake, G.,
[2322]
Dehmeshki, Jamshid,
[640]
Distefano, G.,
[2349]
DeJong, Kenneth A.,
[1054]
Ditchman, Christopher, [1728, 1752]
De Falco, Ivanoe,
[141]
Diu, C. K.,
[1956]
Dixon, E. L.,
[1025, 1032]
Dixon, E.,
[1042]
Delibasis, Konstantinos K.,
[490,
2234, 385, 912, 1511, 1710, 1724,
390, 392, 2343, 1139]
Della Cioppa, Antonio,
1429, 1451]
[128, 141,
Djurišić, Aleksandra B.,
1569]
[2099, 2193,
2194, 2195, 2196]
Dunn, Warwick B.,
[159]
Durling, E. C.,
[883]
Dutilleux, Guillaume,
[18]
Dyck, D. Van,
[1431]
Džeroski, S.,
[2101]
Dzeroski, S.,
[2091]
East, Ian R.,
[740]
Ebecken, N. F. F.,
[296]
Ebecken, Nelson F.,
[297]
Ebeid, S. S.,
[1231]
Ebihara, Kazuyuki,
[1358]
Ebiharai, Kazuyuki,
[2257]
Ebner, M.,
[1136]
[1533, 1564,
26
Echauz, Javier,
[1824]
Engst, Norbert,
[1245]
Fang, Qiang,
[1559]
Edwards, Brent,
[1837]
Erba, Massimiliano,
[1557, 1568]
Fang, Xue,
[941, 943]
Edwards, Yvonne,
[178]
Erdogan, A.,
[830]
Farag, Aly A.,
Eggleston, Peter,
[2296]
Erdogan, Ahmet T.,
[632]
Egusa, Yo,
[773]
Ergun, C.,
[1997]
Ehrhardt, R.,
[1606]
Ersoy, C.,
[397]
Eiceman, G. A.,
[1280]
Ersoy, O. K.,
[226]
Eick, C. F.,
[174, 187, 339]
Ersoy, Okan K.,
[1716, 1744,
1744]
Eick, C.,
Eiler, Cheryl L.,
Eilers, R.,
[2387]
El-Baz, Ayman,
[550]
Eldar, Yonina C.,
[1496]
Elder, S. C.,
[2232]
El-Emary, Ibrahiem M.M.,
[1910]
Faruque, Abdullah,
[1266, 1452]
Feigel’man, M. V.,
[2357]
[495, 1795]
Feipeng, Li,
[2081, 1255]
Esme, B.,
[812]
Fekry, H.,
[1580]
Fellah, A.,
[947]
[1884,
1940, 2077]
Esteban, Segundo,
[2083]
Feng, David Dagan,
[432]
Esteban-Dı́ez, Isabel,
[1836, 1840]
Feng, Fang,
[1805]
Esteller, Rosana,
[1824]
Feng, Xin,
[2085]
Estévez, J.,
[131, 158]
Feng, Xue,
[647]
Estevez, P.,
[107]
Ferguson, Bradley,
[151]
Eto, Miki,
[754]
Ferkinhoff, David J.,
[65]
[654]
Etter, D. M.,
El-Ghazawi, Tarek,
Farry, Kristin A.,
Eshelman, Larry J.,
621, 635, 648]
Elavasaran, R.,
[2390]
[741]
Esparcia Alcázar, Anna I.,
[584, 620,
Farrell, K. W.,
Faulkner, Graeme,
[252, 286]
Ekárt, Anikó,
[2326]
[1295]
[1837]
[1922]
Farrell, Craig A.,
Escalera, A. de la,
[214]
Eisenhammer, Thomas, [1796]
Ejlersen, O.,
[533, 550,
2258, 274, 1174]
[511, 1116,
[1739, 1776,
Fernandez, Jaime J.,
[1873, 1909,
1910]
1777, 1778]
1173]
El-Habrouk, M.,
Euaanant, N.,
[1747]
Ferrandi, Fabrizio,
[639]
Evans, David J.,
[546, 549]
Ferreiro, Maria Ssedes,
[395]
Evans, J. R.,
[534, 548]
Ferri, F.,
[2056]
Evans, Jonathan R.,
[632, 634]
Fidler, J. K.,
[1558]
Everett, James E.,
[218]
Figueiras-Vidal, A. R.,
[1919]
Everingham, M.,
[2211]
Filipič, Bogdan,
[1802]
Ewert, Craig C.,
[551]
Filippidis, Arthur,
[1522]
Fabijański, Pawel,
[2090]
Fillol, Corinne,
[73]
Fadda, A.,
[2121]
Finnerty, S.,
[175]
Faez, Karim,
[266]
Finotello, Andrea,
[425]
Fagarasan, Florin,
[2122]
Fischer, Andrew H.,
[606]
Fahrner, W. R.,
[1956]
Fisher, J.,
[150]
Fairchild, Scott R.,
[1604, 1681]
Fairhurst, M. C.,
[1110]
Falk, Robert,
[550]
[1574]
El-kareem, M. M. Abd, [653]
El-Kareem, Mona M. Abd,
[654]
El-Kwae, Essam A.,
[1048]
Elliman, D. G.,
[702]
Elliman, Dave,
[949]
Ellis, David I.,
[159]
El-Ramsisi, Abdallah,
[1276, 105]
El-Sherief, Hossny,
[1855, 1635]
Elsimary, H.,
[1671]
Ely, Todd A.,
Emam, H.,
Emami, M.,
Emile, B.,
[1549]
[1580]
[510]
[377]
Enberg, Philippe Biela, [305]
Fan, Kuo-Chin,
[895, 931,
Enbody, R.,
[340]
Enge, Per,
[2377]
Fan, Yong,
[546, 549]
Engebretson, Cory J.,
[829]
Fanelli, A. M.,
[670, 2242]
Engelbrecht, A. P.,
[2384]
Fang, H. L.,
[2004]
Engelhardt, H.,
[1407]
Fang, Hongliang,
[555]
Englander, Arnold C.,
[1455]
Fang, Liu,
[1423]
1386, 1396]
Fitzpatrick, J. Michael,
[1202, 1207,
1208]
Fleming, P. J.,
[2120, 2148,
2165, 2174]
Flockton, Stuart J.,
[1547, 1614,
1624, 2237, 1888, 2197, 1781, 1782]
Flores, Benjamin C.,
[1851]
Flores, Juan,
[623]
Floyd, C. E.,
[914]
Fogarty, Terence C.,
192, 222, 341]
[2224, 2105,
Authors
27
Fogel, David B.,
[1530, 1808,
1911, 837, 1729, 2156, 2057, 2184,
79, 2185, 80, 81, 2186]
Fuen, Zhang,
[2152]
Garcia-Alegre, M. C.,
[1282]
Fueten, Frank,
[477]
Garcia Nocetti, D. F.,
[1865]
Fogel, Lawrence J.,
[1911, 79]
Fuhui, Long,
[1073]
Garcia-Raffi, L. M.,
[29]
Foitong, Sombut,
[1299]
Fujii, N.,
[2167]
Garigliano, Roberto,
[694]
[425, 1045]
Fong, H. S.,
[1408]
Fujimoto, Yoshiji,
[1017, 2338]
Garino, Pierangelo,
Fonseca, C. M.,
[2120]
Fujiwara, Y.,
[968, 1164]
Garis, Hugo de,
[2104, 1481,
2203, 2354]
Ford, Gary P.,
[2280]
Fukuda, T.,
Forina, Michele,
[1840]
Fukuda, Toshio,
Forrest, Stephanie,
[1456]
Forsmann, J. H.,
[1736]
[984]
[1303, 774,
2340]
Fukumi, M.,
[1284, 1353]
Fukumi, Minoru,
Forsyth, Richard S.,
[231, 1457,
[1361, 934,
1460, 1203]
1458]
Fortuna, L.,
Fukunaga, K.,
[2251]
Fuller, A. T. G.,
[1734]
[997]
[1621, 2108,
2052]
Fortuner, R.,
[320]
Fumizawa, Motoo,
Fotakis, Demetrios A.,
[1491]
Funakubo, N.,
Fotopoulos, S.,
[1918]
Foulkes, S.,
[1041]
Foy, M. D.,
[2012]
Frachet, Bruno,
[1839]
Franceschetti, Gorgio,
[395]
Francken, Kenneth,
[1823]
Furuhashi, T.,
Francone, Frank D.,
[225]
Franconi, Luisa,
[833, 1018,
1401]
Garlapati, A.,
[2029]
Garrell i Guiu, Josep Maria,
[1434]
Garrido, S.,
[2168]
Garris, Michael D.,
[668]
Gaughan, Patrick,
[170]
Gayko, Jens E.,
[1967]
Geladi, Paul,
[361]
Geldreich, David,
[469]
Gemperline, Paul J.,
[1262]
Funakubo, Noboru,
[1159]
Gen, Mitsuo,
[775]
Fung, G. S. K.,
[834]
Genet, M. G.,
[328]
Fung, Y. F.,
[1567]
Gentili, Paolo,
[1655, 1689]
Gentili, P.,
[1607, 1672]
Gentric, P.,
[692]
[795]
Gentric, Philippe,
[1142]
Furusato, M.,
[776]
George, R.,
[215]
[966]
Furuta, Shige,
[1572]
Gerloff, Dietlind,
[273]
Franich, R. E. H.,
[1192]
Fuss, R.,
[89]
Gershman, Alex B.,
[1525]
Franke, Katrin,
[628]
Fu-yu, Yuan,
[331]
Gerstoft, Peter,
[32, 36, 39, 49]
Gabbouj, Moncef,
[689, 709]
Gerstoft, P.,
[31]
Gaborski, Roger S.,
[180]
Gertner, Izidor,
[434, 493]
Gabriele,
[707]
Geshkenbein, V. B.,
[2357]
Gad-El-Hak, M.,
[2388]
Gesú, Vito Di,
[135]
Gexian, Hou,
Furuhashi, Takeshi,
Fränti, Pasi,
[426, 1270,
[796, 894,
901, 930, 2155, 1421]
478, 557, 832, 1961]
Franzén, L.,
Franzen, O.,
[1593]
[1964, 1026,
1050]
[255]
Galassi, Mark,
[133]
Freedman, M. T.,
[954]
Gallagher, Anthony,
[442]
Frei, Ulrich,
[1601]
Gallagher, K.,
[2076]
Freisleben, Bernd,
[967]
Gandini, Marco,
[425]
Freitas, Alex A.,
[256]
Gang, Rong,
[867]
French, I. G.,
[2109]
Gangl, Alfred,
[169]
Ghosh, Joydeep,
[1725]
Freund, Jon,
[2392]
Ganguly, Niloy,
[1312]
Ghoshal, J.,
[850]
Frey, P. W.,
[1459]
Gao, Peng-Dong,
[643]
Ghoul, S.,
[267]
Fridman, Peter A.,
[509, 526]
Gao, Wen,
[302]
Ghozeil, Adam,
[837]
Fridman, Peter,
[512]
Gao, W.,
[303]
Gialamas, T.,
[54]
Frisch, Lucien G.,
[501]
Garcı́a-Cerezo, Alfonso J.,
Gielen, Georges G. E.,
[1823]
Fu, B.,
[27]
Garcı́a-Nieto, S.,
Giger, M. L.,
[855]
Fu, Zhiwei,
[149]
Garcia, J. A. Fernandez, [298]
Giles, Jill Laura,
[1463]
Fredriksson, Kimmo,
[1058, 2025,
1108]
Ghazi, R.,
[1636]
Ghazzali, N.,
[1416]
Ghosh, Ashish,
[2317]
[29]
[480, 761,
2338, 2344]
28
Gillies, Andrew McGilvary,
[1205,
1206]
Goulermas, J. Y.,
[427, 396,
Hachimura, K.,
[439]
1123, 1130]
Hachino, T.,
[2092, 1861,
2103, 2116, 2133, 2143, 2153, 2166]
Ginesta, X.,
[956]
Goulermas, John Y.,
[2308]
Gingras, D. F.,
[31]
Govindaraju, Venu,
[102]
Hacioglu, K.,
[1997]
Girgensohm, Andreas,
[453]
Graco, Warwick,
[323]
Haddow, P. C.,
[1536]
[1537]
[2063]
Giuclea, M.,
[2122]
Graf, Jeanine,
[742]
Haddow, Pauline C.,
Glass, C.,
[1195]
Graña, Manuel,
[484]
Hadi, Mohammed A.,
Glette, Kyrre,
[1326]
Grand, Scott Michael Le,
Glover, R.,
[270]
Grassl, Markus,
[1993]
Häfner, Michael,
[169]
Glower, J. S.,
[1779]
Gray, G. J.,
[2131]
Hagiwara, Masafumi,
[444, 1020]
Gockenbach, E.,
[1947]
Gray, H. F.,
[232, 257]
Hagiwara, M.,
Godzik, Adam,
[272]
Grebe, Reinhard,
[1098]
Gofman, Yossi,
[838, 858]
Green, J. E.,
[883]
[374]
Greene, J. R.,
[868]
[1207, 1208]
Goh, Kian Liong,
[1465]
Haese-Coat, Véronique, [1686]
[781, 1359,
1392]
Hajek, M.,
[2235]
Hajela, Prabhat,
[2311]
Hajema, Walter P.,
[768]
Hakl, F.,
[1309]
Halang, W. A.,
[1985]
Halang, Wolfgang,
[1946]
Halici, U.,
[830]
Hall, Ernest L.,
[2292]
Hall, L. O.,
[890, 1147]
Hall, Lawrence O.,
[869]
Gokhale, Maya,
[1584]
Grefenstette, John J.,
Gokulakrishnan, S.,
[1354, 1364]
Greiner, Horst,
[1608]
Gokulnath, C.,
[2179]
Grewal, G. W.,
[1963]
Gold, Sönke-Sonnich,
[1245]
Griesbach, J. D.,
[1739]
Golden, Bruce,
[149]
Griffiths, P. R.,
[123]
Golden, J. B.,
[1874]
Groot, Claas de,
[2061, 2062]
Golden, Joel,
[2370]
Gu, Jun,
[489]
Gu, W. G.,
[388]
Hall, Lester C.,
[1193]
Gu, Yajun,
[1579]
Hallam, T. C. T.,
[1999]
Halliday, David M.,
[170]
Halme, Merja,
[154]
Hamad, Denis,
[305]
Hamada, H.,
[1889, 53]
Hamada, Nozomu,
[1676]
Hamamoto, Y.,
[776, 258]
Hamaoka, Akishi,
[409]
Hamarneh, Ghassan,
[371]
Hamid, Mahmoud S.,
[1583, 1587]
Hampo, Richard J.,
[1845]
Han, Joon Hee,
[960]
Han, Ju,
[641]
Han, JungHyun,
[440]
Han, Kuk-Hyun,
[591]
Han, Kyu-Phil,
[896, 2346]
Han, Zhenxiang,
[1941]
Hanaki, Yoshimaro,
[2382]
Golobardes i Ribé, E.,
Golukakrishnan, S.,
[1434]
[2245]
Gómez-Ramı́rez, E.,
[2032, 2041,
2042, 2043]
Gomide, F.,
[321]
Gong, Dijin,
[775]
Gong, Minglun,
[2312]
González, A. I.,
[484]
Gonzalez, G. D.,
[124]
González, Javier,
[2317]
González-Sáiz, José-Mariá,
Goodsitt, Michell M.,
[564]
Gu∂mundsson, Markús, [683, 1048]
Gucht, Dirk Van,
[1836,
[2032, 2041,
2043]
Goodman, Erik D.,
[438, 535,
915, 1056]
Guanchang, Jin,
1840]
González-Yunes, A.,
Guan, Ling,
[95, 268, 340]
[1207]
Gueriot, Didier,
[839]
Guinea, D.,
[1282]
Guivens, Norman R.,
[721]
Gumerov, Nail,
[486]
Gumm, Martin,
[425, 1045]
Guo, Jinglei,
[516]
Guo, Q.,
[2170]
Guo, Weiling,
[1564]
Guoqing, Tang,
[1706]
[877, 247,
1082]
Görne, Thomas,
[2069, 1783]
Guozheng, Yan,
[1325]
Gorrini, V.,
[2372]
Gurkan, Damla,
[364]
Gosine, Raymond G.,
[2319, 2325]
Güvenir, H. Altay,
[197, 359]
Gotardo, Paulo F. U.,
[2212, 579]
Ha, Seong Wook,
[1007, 1090]
Gottvald, Aleš,
[1912, 1973]
Ha, Yeong-Ho,
[896, 2346]
Gough, N. E.,
[671]
Habib, Ibrahim,
[2364]
Hancock, Edwin R.,
[408, 1279,
514, 1349, 1372, 945, 2259, 1399]
Hancock, P. J.,
[455]
Authors
29
Hancock, Peter J. B.,
[454]
Hata, S.,
[845, 1389]
Hiden, Hugo G.,
[2139]
Handels, H.,
[1411, 1435]
Hatanaka, T.,
[2123]
Higa, K.,
[1987]
Handroos, H.,
[2264]
Hattori, Takashi,
[2079]
Hignite, M. A.,
[137]
Hang, L.,
[1134]
Hattori, T.,
[1315, 1318]
Higuchi, Tatsuo,
Hanna, Darrin M.,
[155]
Haupt, Randy L.,
[1846]
Hanna, M. I.,
[2064]
Hawksford, Malcolm O., [1883]
Hannah, Malcolm I.,
[1387]
Haydar, A.,
[1991, 1432]
Hannay, D.,
[66]
Hayward, T. J.,
[35]
Hansen, C. H.,
[1620]
Hazout, Serge,
[358]
Hansen, Colin H.,
[52, 55]
He, Hongxing,
[323]
Hansen, Leslie A.,
[142]
He, Ligeng,
[443]
Hanyu, Isamu,
[844]
He, Q. H.,
[1494, 876,
1418]
Hanzo, Lajos,
[1813]
He, Q.,
[1504]
He, Rong-Song,
[631]
He, Yexian,
[2342, 1072]
He, Z. Y.,
[1897]
Heang, Ping Chan,
[1082]
Heard, G. J.,
[66]
Heeyeung, Hwang,
[1258]
Harboun-Cohen, Esther, [1839]
Harish, P.,
Harju, P. Taneli,
Harmans, C. J. P. M.,
Harris, Christopher,
Harris, Stephen P.,
[1240]
[1680, 1712]
[2355]
[843]
[1637, 1695,
1519, 2075]
Harrison, C.,
[17]
Heistermann, Jochen,
[1331]
Hart, Peter E.,
[115, 125]
Hejblum, Gilles,
[685, 975]
Haruki, Tamae,
[844]
Helfend, Lisa K.,
[1428]
Harvey, Inman,
[684, 722,
2281, 2352]
Helvie, Mark A.,
[233, 877,
247, 1082]
Harvey, N. R.,
[1616, 1643,
1656, 1659, 1679, 387, 1757]
Hemayed, E.,
[2258]
Hemmateenejad, Bahram,
[152, 156]
Higuchi, Tetsuya,
[476, 624,
1356, 1076, 1750, 1157, 2354]
Higuchi, T.,
[1613]
Hiho, T.,
[1805]
Hildebrand, Axel,
[2229]
Hill, A.,
[752, 2282,
407]
Hill, David J.,
[1984]
Hillis, David B.,
[1809]
Hiltner, J.,
[367]
Himler, Allen,
[2222, 2283]
Himmelreich, Uwe,
[145]
Hinman, Michael L.,
[1814]
Hinson, Arthur,
[1824]
Hintz, Kenneth J.,
[756, 798]
Hirabayashi, M.,
[48]
Hirai, Toshio,
[1553, 1562,
1571]
Hirayasu, A.,
[1367, 1404]
Hiroshi, Matsui,
[1555]
Hiroshi, Mizuseki,
[1571]
Hirsch, Karen Lewis,
[1540]
Hirshman, Steven,
[2358]
Hemsel, T.,
[27]
Harvey, Neal R.,
[1540, 467,
116, 139, 1583, 606, 1711, 1154]
[1623, 1641,
1651, 1658, 1662, 1664, 1693, 1698,
1767]
Hirsman, S. P.,
[2398, 2399]
Harvey, Neal,
[101, 1584]
Hendtlass, Tim,
[1346]
Hirst, Tony,
[1928]
Harvey, Neil R.,
[133]
Henshaw, Philip D.,
[721]
Hitafuji, M.,
[1069]
Hasegawa, Yasuhisa,
[1303]
Haseyama, M.,
[1137, 1765,
Herbert, J.-F.,
[1416]
Hitt, Ben,
[106]
Hermand, Jean-Pierre,
[49]
Hlaváček, M.,
[1309]
Hernandez, German,
[422]
Ho, K. L.,
[1490]
Herrera, Francisco,
[112]
1177]
Haseyama, Miki,
[1632, 1652,
1673, 1688, 1708]
Ho, Shinn-Ying,
[464, 1302]
Hashim, Abdulla,
[1419]
Herrero, J. M.,
[29]
Ho, Shinn-Yin,
[515]
Hashim, A.,
[1362, 1366]
Herries, G.,
[210, 244]
Ho, S.,
[2109]
Hashimoto, Asako,
[1555]
Herrmann, W. M.,
[252, 286]
Hoffman, Brian,
[317]
Hashimoto, Misao,
[83]
Heudin, J.-C.,
[777]
Hoffmann, Karl Heinz,
[2061, 2062]
Hashimoto, R.,
[1526]
Hewitt, A.,
[1880]
Hoffmeister, Jeffrey W., [1146]
Haskell, Richard E.,
[155]
Hexin, Chen,
[2021]
Hofmann, Heinz,
[2000]
Hassanein, Khaled,
[1395]
Hickey, S.,
[382]
Holland, John H.,
[1461]
Hasselman, Timothy,
[1521]
Hicks, M. J.,
[1776]
Holland, O. E.,
[1528]
Hässler, S.,
[611]
Hidalgo, Jose,
[2083]
Hollingworth, G.,
[1127]
30
Holloway, S.,
[1631]
Hsieh, Ching-Tang,
[1957]
Hurley, S.,
[1843, 1875,
2055]
Holls, William,
[2053, 2054]
Hsieh, Jer-Guang,
[630]
Holzmann, Carlos A.,
[1379]
Hsu, Heng-Iang,
[1815]
Hommes, Jonathan D., [771]
Hsueh, Yuang-Cheh,
[770, 383]
Hussain, Talib S.,
[1446]
Honavar, Vasant,
Hu, Changbo,
[1264]
Hussein, Faten,
[1291]
[2093]
Husbands, Philip,
[263]
Honavar, V.,
[1414]
Hu, G. B.,
[1265]
Hutchins, R. G.,
Honda, T.,
[2246]
Hu, Guangrui,
[1410]
Huttunen, Heikki,
Hong, B.,
[2171]
Hu, Haiping,
[430]
Hong, Bingrong,
[2320]
Hu, JiaSheng,
[419]
Hong, J. S.,
[2066]
Hu, Jinglu,
[2134]
Hong, Ki-Sang,
[415, 529]
Hu, Laizhao,
Hong, L.,
[1962]
Hong, Robert,
[2401]
Hong, Seunghong,
[1998, 2006]
Hong, Sheng-Lin,
[2007, 1162]
Hong, Wei,
[1539]
Hongze, Xu,
[2152]
Hopkins, Paul F.,
[473]
Horan, M. A.,
[111]
Horiguchi, T.,
[2287]
[113]
Hwang, Chang-Sun,
[861]
Hwang, Gi-Hyun,
[1804]
Hwang, Gwo-Haur,
[171]
[595]
Hwang, Jyi,
[2007]
Hu, Y.,
[1210]
Hwang, Shun-Fa,
Hu, Yi-Chung,
[161]
Hua, Xia,
[745, 772, 911]
Huang, Chao-Ming,
[2132]
Huang, Ching-Lien,
[2132]
Huang, C.,
[22]
Huang, Chung-Lin,
[2266]
Huang, Hui-Ling,
[515]
[1383, 1412]
Hu, S.,
Huang, Jeng-Sheng,
Horn, Jhih-Te,
[646, 658, 661]
Huang, J.,
Horner, Andrew,
Horner, Steven L.,
Horng, Jorng-Tzong,
Horrocks, D. H.,
[1800, 1992]
[2053, 2054]
[1396]
[1610, 1638,
1640, 1653, 1951]
Horrocks, David H.,
[2236, 1633,
1657, 1903, 1674, 888, 1690, 1696,
1700, 2065]
[1579, 1586,
1589]
[631]
[1890, 1942,
1944, 1945, 1948, 1950, 1952, 56,
1969]
[1611, 1639,
1642, 1675, 1677, 1755]
Huyck, Christian,
Horn, Chih-Ted,
Horner, Andrew B.,
[684, 722,
2281, 2352, 2201]
[2299, 213,
847, 1357, 1378]
[631, 646,
658, 661]
Hwang, Wen-Jyi,
[523, 1162]
Hwang, Wen-Ruey,
[2327]
Hwu, Jiing-Yuan,
[1263]
Ianni, M. Di,
[913]
Iannone, R.,
[163]
Iba, H.,
[2141]
Iba, Hitoshi,
[2104, 2119,
1356, 2203, 2354, 1209]
Iezekiel, S.,
[1720, 1748]
Ifeachor, Emmanual C., [1695, 2075]
Huang, Qian,
[2265, 1107]
Ifeachor, Emmanuel C., [1637, 1519]
Huang, Runhe,
[341]
Igaki, Tsutomu,
[21]
Huang, Shu-Chien,
[1156]
Igel, Christian,
[2309]
Huang, Thomas,
[1336]
Ignizio, James P.,
[245]
Huang, Tong,
[1371]
Iguchi, M.,
[2249, 806]
Huang, Weimin,
[1191]
Iisaki, J.,
[779]
Huang, Yan,
[1256]
Iisaku, S.-i.,
[1087]
Huang, Yueh-Min,
[147]
Ikeda, M.,
[842]
Hou, Chaohuan,
[1913]
Huegli, Heinz,
[2306]
Ikuta, Mikio,
[1879]
Hou, Ge-xian,
[1803]
Huesser, Olivier,
[2306]
Ilavarasan, Ponniah,
[1891]
Hou, Weidong,
[430]
Hughes, D.,
[510]
Ilavasaran, P.,
[1847]
Hounsell, B. I.,
[1591]
Hui, Peng,
[867]
Iliev, G.,
[1543]
Hove, Hugo Van,
[1355]
Hung, Chi C.,
[318]
Illingworth, J.,
[696]
Hovland, P.,
[340]
Hung, Chih-Cheng,
[613]
Imakubo, J.,
[1613]
Howard, Daniel,
[460]
Hung, Chuang-Chang,
[1406]
Imakubo, Jun,
[1623, 1641,
1658]
Howard, D.,
[1149]
Hung, Jui-Chung,
[1485, 1487]
Howell, Peter,
[2370]
Hung, Shih-Lin,
[1462]
Howland, P. E.,
[2397]
Hunt, K. J.,
[2187]
Hsiao, Chao-Tsung,
[486]
Hunter, Lawrence,
[221]
Inaba, M.,
Inan, S.,
[2337]
[1933, 2018,
316]
Ince, T.,
[316]
Authors
31
Ingimundarson, J. I.,
[226]
Izumi, M.,
Jeon, Byoung-Ki,
[415, 529]
Inglada, Jordi,
[496]
Jabehdar-Maralani, P., [1831]
Jeon, In Ja,
[1581]
Inohara, Masahiro,
[83]
Jack, L. B.,
Jeon, Y. C.,
[2202]
Jeon, Yoo chan,
[2095]
Jeong, Il-Kwon,
[2138]
Jesung, Ahn,
[1258]
Jesus, M. J. del,
[112]
Jetter, Kurt,
[2031]
Ji, Qiang,
[513]
Ji, Y. Y.,
[862]
[2251]
[2205, 365,
1493]
Inoue, H.,
[2337]
Jack, M. A.,
[747, 1916,
Inoue, Hrochika,
[1885]
Inoue, Katsunori,
[706]
Jackway, Paul T.,
[1321]
Inoue, K.,
[2134]
Jacob, J. D.,
[2366]
1943, 1949]
Inoue, T.,
[1885]
Jacob, P. J.,
Inverso, Samuel A.,
[567]
Jacq, Jean-José,
Ioffe, L. B.,
[2357]
Ireson, N. S.,
[192]
Irgens, C.,
[2381]
[1976, 280]
[780, 799,
1061, 1211, 1212]
Jacquelin, Christophe,
[685, 975]
Jia, Chunguang,
[304]
Jäger, Stefan,
[849]
Jiang, Jack J.,
[637]
Jagielska, I.,
[262]
Jiang, Jianmin,
[748]
Jain, A. K.,
[95]
Jiang, J.,
[978]
Jain, Anil,
[1376]
Jiang, T. Z.,
[1929]
Jain, Ankit,
[1530]
Jiang, Tianzi,
[546, 549]
Jiang, T.,
[468]
Jiang, X. H.,
[363]
Jianzhuang, Liu,
[918]
Ishibuchi, Hisao,
[176, 188, 191,
198, 206, 211, 219, 234, 235, 236,
251, 260, 284, 285, 295, 342, 343]
Ishigami, Hideyuki,
[774]
Ishikawa, A.,
[2376]
Ishikawa, Masato,
[1370]
Ishobuchi, Hsiao,
[333]
Islam, Md. Shohidul,
[664]
Jiao, Li-Cheng,
[572]
Islam, M.N.,
[664]
Jamshidi, Mohammad,
[506]
Jie-Gu, Li,
[1425]
Islam, M.R.,
[664]
Janes, G. M.,
[2390]
Jin, Fan,
[1588]
Islam, M.S.,
[664]
Jang, Byungtae,
[2341]
Jin, Guanchang,
[570]
Ismail, I. A.,
[653]
Jang, Dongsig,
[872]
Jin, Huiqing,
[589]
Israelsson, H.,
[2005]
Jang, Jae-Dong,
[597]
Jin, Weidong,
Issa, H.,
[2302]
Jang, Jeong-Hun,
[415, 529]
Ito, K.,
[53]
Jang, Jun-Su,
[591]
Itoh, Hidenori,
[443]
Jang, Jyh-Shing Roger, [423]
Itoh, H.,
[184]
Jang, Younggun,
Ivanovic, S. L.,
[1881]
Jankó, Zsolt,
Iverso, Samuel A.,
[576]
Jain, L. C.,
[1522]
Jain, Prachi,
[2395]
James,
Adrienne
Claire
Nwando,
[1811]
[1998, 2006]
[600, 604,
605, 616, 620, 633, 635, 648]
Jaroszewicz, Leszek R., [90]
Iwai, N.,
Iwai, S.,
Iwai, Sosuke,
Iwamoto, Kaoru,
Iwasaki, Makoto,
Iwasawa, Shoichiro,
Iwata, Masaya,
[1177]
Jin, Weiqi,
[1100]
Jing, B.,
[618]
Jing, Liu,
[822, 1058]
Jinhui, Zou,
[1426]
Jo, Sung-O.,
[2113]
Jo, Young Chang,
[1981]
Johansson, C. B.,
[602]
Johansson, Marcus,
[629]
Johns, A. T.,
[1988]
Johnson, Eric G.,
[962]
Johnson, I. R.,
[2224]
Jarry, P.,
[1542]
Javidi, B.,
[1315, 1318]
Javornik, Brenda,
[1456]
Jayasankar, K.,
[739]
Jean, Kuang-Tsang,
[2094]
Johnson, L.,
[150]
Jefferson, M. F.,
[111]
Johnson, Mark S.,
[178]
Jelassi, K.,
[2163]
Johnson, Michael Patrick,
[1854]
[1926]
[2367]
[2088]
[2257]
[624, 1356,
1076]
[1579, 1586,
1588, 1589]
[690]
Iyengar, Giridharan,
[969]
Jeng, Jyh-Horng,
[630]
Johnson, R. A.,
[137]
Iyengar, S. Sitharama,
[544, 545]
Jenkins, W. K.,
[1585]
Johnson, S.,
[1407]
Iyengar, S. S.,
[1924, 925]
Jennings, Andrew,
[957]
Johnson, Timothy,
[2201]
Iyoda, E. M.,
[321]
Jennison, Christopher,
[966]
Johnston, A.,
[757]
32
Johnston, Victor S.,
[715]
Kalus, A.,
[928]
Katic, Dusko,
[292]
Jones, A. H.,
[2379, 2162]
Kam, A.,
[2030]
Kato, Masami,
[444, 446]
Jones, A. J.,
[289]
Kamada, K.,
[1422]
Kato, S.,
[1087]
[469]
Jones, Antonia J.,
[2350]
Kamarei, M.,
[1990]
Kato, Zoltá,
Jones, David D.,
[556]
Kamath, Chandrika,
[104]
Katsikas, S. K.,
[1701]
Jones, Eric,
[1534, 108]
Kamel, M.,
[399]
Katsikas, Sokratis K.,
[1491, 1502]
Jones, Mara Elizabeth, [537]
Kamil, Alan C.,
[528]
Katsulai, Hiroshi,
[1100]
Jones, Matthew R.,
[755]
Kamine, Hiroshige,
[1126]
Katsulai, H.,
[1066]
Jones, R. H.,
[1852]
Kammer, Daniel C.,
[2189]
Katz, A. J.,
[1612]
Kauer, J.,
[1407]
Jong, D.,
[339]
Jong, Kenneth A. De,
[93, 213, 847,
1357, 1378, 1198, 2351, 1199]
Jongwan, Kim,
[1258]
Jonsson, Per,
[1917]
Joung, Chi-Sun,
[1430]
Jouny, I.,
[2002]
Jourdan, Laetitia,
[1320]
Jr, V. Pilla,
[2039]
Ju, Quan,
[170]
Jubai, A.,
[618]
Juhola, Martti,
[325]
Kampen, Antoine H. C. van,
[277]
Kauffman, Gregory W., [1292]
Kan, Dae-Seong,
[1007]
Kanayama, Yuichi,
[2368]
Kandel, Abraham,
[1377]
Kane, Couro,
[44]
Kawaguchi, T.,
[1095, 1158]
Kaneko, K.,
[1029]
Kawaguchi, Tsuyoshi,
[1373, 982]
Kaneko, S.,
[2246]
Kawamata, Masayuki,
Kaneyama, C.,
[776, 258]
Kang, Byoung Ho,
[976]
Kang, Dae-Seong,
[1090]
Kang, Dong Hee,
[1508]
Kang, Ki-Min,
[1091]
Kaufman, Howard,
Kaukoranta, Timo,
[2191]
[832, 1961,
1133]
[1488, 1623,
1641, 1651, 1658, 1662, 1664, 1693,
1698, 1767]
Kawamata, M.,
[1556, 1613,
1707, 1750]
Kawamura, Takao,
[615]
Kawanishi, H.,
[781, 1359]
Kawano, M.,
[1095]
Kawata, H.,
[2376]
Kawazoe, Yoshiyuki,
[1553, 1571]
Kazuhiro, Matsui,
[1165]
Ke, Y. A.,
[2022]
Keane, Martin A.,
[1699, 2192]
Kehagias, A.,
[2159]
Kell, Douglas B.,
[159]
Keller, J. M.,
[1380]
Kellett, Martin G.,
[2164]
Jullien, G. A.,
[1994, 1754]
Kang, Yong Ho,
[2188]
Jun, Hyo-Byung,
[1430]
Kangas, Jari,
[1269, 1439]
Jung, Keechul,
[440]
Kanniainen, Olli,
[2218, 2294]
Jurkus, P.,
[1119]
Kanno, T.,
[1009]
Jurs, Peter C.,
[1292]
Karaboga, D.,
[1640, 2154]
Jurs, P.,
[1407]
Karaboga, N.,
[1640]
Karaboğa, N.,
[1638]
Karahaliloglu, K.,
[560]
Karajeh, Huda,
[1596]
Karasawa, S.,
[182]
Kelly, Gary E.,
[1182]
Karczewicz, Marta,
[689]
Kelly, I.,
[973]
Kargupta, Hillol,
[2190]
Kelly, Jr., James D.,
[338]
Karr, Charles L.,
[2107]
Kenmochi, Y.,
[1285]
Kasabov, N.,
[1543]
Kenny, Louise C.,
[159]
Kasagi, Nobuhide,
[2367]
Kent, P. J.,
[1041]
Kashem, M.A.,
[664]
Kerherve, E.,
[1542]
Kabuka, Mansur R.,
[1048]
Kadirkamanathan, V.,
[2096, 2173,
2056]
Kadono, Takahashi,
Kadono, Takashi,
[1093]
[711, 1337]
Kaghed, Nabeel Hashem,
Kaida, K.,
[845, 1389]
Kaiser-Bonasso, Christine,
Kajitani, Isamu,
Kakazu, Yukinori,
[164]
[827]
[1356]
[1850, 1619,
1627, 2375]
Kakuyama, T.,
[378]
Kassotakis, I.,
[2389]
Kern, D. P.,
[2015]
Kalganova, Tatiana,
[143]
Katagiri, M.,
[948]
Kernin, Jean-Pierre,
[839]
Kalinli, A.,
[2154]
Katai, O.,
[1854, 1374]
Keselman, Yakov,
[551]
Kalluri, Charulatha,
[1812]
Katai, Osamu,
[1926]
Khajehpour, S.,
[16]
Kalous, R.,
[1309]
Kateman, Gerrit,
[1468]
Khalifa, Y. M. A.,
[1610, 1657]
Authors
33
Khalifa, Yaser M. A.,
[1690, 1696]
Kim, Jae Woo,
[976]
Kishida, Masahiko,
[1676]
Khalili, K.,
[983]
Kim, Jin Wook,
[2270]
Kishino, Fumio,
[1358, 865]
Khan, Aftab Ali,
[1953]
Kim, J.,
[19, 19]
Kishore, J. K.,
[1268]
[1856]
Khanh, B. D.,
[1307]
Kim, Jong Bae,
[559]
Kitaguchi, Takashi,
Kharma, Nawwaf,
[1291]
Kim, Jong-Hwan,
[591]
Kitajima, Hideo,
Kim, Jung H.,
[451]
Kim, Jung Hwan,
[1288]
Kim, Jung-Hwan,
[2304]
Khelifa,
Mohamed
Moncef
Ben,
[2315]
Khemani, D.,
[1402]
Khiani, K. J.,
[274]
Kholodovuich, V. V.,
Khomitch, Vitali,
Kim, Kyoung Min,
[1440]
Kim, Nam,
[980]
Kidera, Akinori,
[1422]
Kim, Poong Min,
[976]
Kieronska, Dorota H.,
[2326]
[851, 2386,
Kikuchi, Toshihiro,
[1572, 2368]
Kitamura, Taiichi,
[766]
Kitazawa, Shuji,
[1807]
[993, 991,
2056]
Kivijärvi, Juha,
[980]
Kim, Richard Y.,
[2226]
Kim, S. H.,
[980]
Kim, S. J.,
[19]
Kim, S. W.,
[1907]
Kim, Sang Kyoon,
[826, 874]
Ko, H. S.,
Kim, Sang-Woon,
[308]
[1274]
[1553, 1562,
1571]
Kitamura, Shinzo,
Kim, R. S.,
989, 1024]
Kikuchi, Minoru,
[1137, 1765,
1177]
[1270, 478,
557, 832, 1961]
[920, 1053,
2175]
Kitajima, H.,
Kittler, J.,
[606]
[1352, 879]
Kihm, Ken D.,
[2341]
[264]
Kida, Hiromi,
Kihm, K. D.,
Kim, Juwan,
[1632, 1652,
1673, 1688, 1708]
Kil, Rhee M.,
[1877]
Kim, Seung Moog,
[1981]
Kim, C. R.,
[1907]
Kim, Sungshin,
[2137]
Klappenecker, Andreas, [1866, 1993]
Klement, E. P.,
[906]
Klimeck, Gerhard,
[1761, 1763]
Klöcker, J.,
[686]
Klosowski, M.,
[1704, 1730]
[920, 2386,
1053]
Ko, Myung-Sook,
[861]
Ko, Sung Tack,
[919]
Kobayashi, F.,
[984]
Kobayashi, Futoshi,
[2340]
Kim, Choon-Woo,
[981, 1091]
Kim, Tony Y.,
[2226]
Kim, Chwee,
[1271]
Kim, Y.-J.,
[174]
Kim, Dae Wook,
[826, 874]
Kim, Y.,
[214]
Kim, Daijin,
[87, 1980]
Kim, Yong-Suk,
[896]
Kobayashi, Shigenobu,
[1274]
Koch, P.,
[1922]
Koch, Steven,
[142]
Kochergov, Evgeny,
[1385]
Kim, Dai-Jin,
[1090]
Kimpan, Chom,
[1299]
Kim, Daijin,
[1169]
Kimura, Makoto,
[916]
Kim, Donghyun,
[2341]
Kimura, M.,
[878]
Kim, E. Y.,
[1486]
Kimura, Toshihiro,
[444]
Kim, Eun Yi,
[2270]
Kimura, Y.,
[1397]
Kim, Gyeonghwan,
[121]
Kina, Y.,
[785, 802,
Kobayashi, Naoki,
[687, 703,
782, 852, 1175, 1226]
Kodama, Tetsuji,
[475, 1012,
1102]
Koehler, Gary J.,
[344]
Koga, Hisashi,
[1863]
Koh, Chan G.,
[2171]
Koivisto, Hannu,
[2128]
803, 938]
Kim, Gyungwhan,
Kim, H. J.,
Kim, Haedong,
Kim, Hang Joon,
[103]
King, Irwin,
[1118]
Kini, P.,
[1201]
Kinjo, H.,
[1384]
Kinser, Jason,
[1647]
[1486]
[2341]
[559, 826,
874, 1005, 2270]
Koivisto, Pertti,
[1639, 1642,
1677]
Koljonen, Janne,
[627, 649,
2218, 660, 662, 361, 2294]
Kim, Hee-Soo,
[2346]
Kinsner, W.,
[216]
Kollias, S. D.,
[452]
Kim, Hyeongdong,
[1582]
Kipyatkov, V. A.,
[2048]
Komai, Kenjiro,
[441, 2305]
Kim, I. K.,
[778]
Kirihara, Satoshi,
[1088]
Komoda, N.,
[1422]
Kim, In K.,
[744]
Kirihara, S.,
[970, 1070]
Konar, Amit,
[165, 656]
Kim, J. C.,
[1907]
Kiryati, Nahum,
[838, 858]
Kondo, Tetsujiro,
[1175]
Kim, J. H.,
[1275]
Kishi, M.,
[2376]
Kong, Jun,
[647]
34
Konig, R.,
[283]
Kšir, A.,
[1650]
Kutics, A.,
[2240, 807]
Konno, A.,
[2337]
Ku, C. K. W.,
[1497]
Kutics, Andrea,
[1667]
Konsella, Shane,
[1971]
Ku, K. W.,
[1494]
Kutsuyama, H.,
[2376]
[555]
Konstam, Aaron H.,
[189, 345]
Küblbeck, Christian,
[2204]
Kuusk, Andres,
Kontio, Juho,
[1829]
Kubota, Yoshinori,
[1012]
Kwok, Leung Lam,
[1082]
Koolivand, Y.,
[1831]
Kudaka, M.,
[315]
Kwok, N. M.,
[2322, 2323]
Köppen, Mario,
[525, 628]
Kueblbeck, C.,
[885]
Kwon, Jangwoo,
[1998, 2006]
Kwong, Sam,
[1743]
Koppen, M.,
[89, 853, 1745]
Kuffel, E.,
[1283]
Koschorreck, M.,
[1872]
Kuhn, Leslie A.,
[95]
Koskinen, L.,
[1611]
Kuklinski, Walter S.,
[678, 679]
Kumagai, M.,
[1137]
Kumagai, T.,
[1526]
Kosugi, Y.,
[691, 724,
Kwong, S.,
1068, 2034]
Kosugi, Yukoi,
Kotani, K.,
Kotani, Manabu,
Kotcheff, A. C. W.,
Kotcheff, A. C.,
Kotyński, Rafal,
Kotzé, Abraham P.,
Kou, Hongbing,
[1165]
Koyama, Shunei,
[116]
Lacquet, Beatrys M.,
[1544]
Lai, Chih-Ching,
[1120]
Lai, E.,
[1957]
Kumano, H.,
[1009]
Kumar, A.,
[804, 384]
Lai, L. L.,
[2140]
Kumar, Rajeev,
[1417]
Lai, Shang-Hong,
[405]
Kumaravel, N.,
[449, 2010]
Laird, Philip,
[1334]
Kumari, V. Vijaya,
[1324]
Laksanapanai, B.,
[598]
Kumon, Toshiaki,
[2088]
Lakshmanan, V.,
[470]
Kumsawat, Prayoth,
[1500]
La Rocca, Renato,
[550]
Kumskov, K. I.,
[389]
Lam, K. M.,
[1441]
Kun, Ma,
[918]
Lam, Kin-Man,
[500]
Lam, Kwok L.,
[233]
Lam, S. L. Y.,
[921]
Lam, Vui Chiap,
[751]
Lam, Yee-Loy,
[366]
[985]
[394]
[1545, 1713]
[1544]
[1163]
[2392]
[1979]
[1711]
Kuncheva, Ludmila I.,
[201, 279,
[1643, 1659]
Kundu, M. K.,
Kraft, Steven,
[657]
398]
Kreifeldt, J. G.,
[1900]
Kundu, Malay K.,
Kreifeldt, John G.,
[1019]
[461, 2241,
[480, 479, 699,
1086, 1427, 1152, 1237, 1239, 1240]
Lamma, Evelina,
[2363]
Kunkle, Daniel R.,
[567, 576]
Lammi, S.,
[325]
Kunt, M.,
[736]
Lampasi, D. A.,
[1834]
Kuo, Bor-Chen,
[613]
Lanconelli, N.,
[483]
Land, Walker H.,
[120]
Landi, R.,
[1936]
Lang, J. L.,
[1931]
Lanitis, A.,
[752]
Lankhorst, Marc M.,
[1892]
Lant, Christopher,
[657]
Lanzi, P. L.,
[871, 1705]
Lanzi, Pier Luca,
[639]
[1851]
Krenz, W. C.,
[2231]
Kreusch, J.,
[1411, 1435]
Krishna, K.,
[986, 1443]
Krishna, M. V.,
[739]
Kupinski, M.,
[855]
Krishnan, C. N.,
[1749]
Kurihara, Y.,
[182]
Kristiansen, Ulf R.,
[18]
Kurita, Takio,
Kuosmanen, Pauli,
[1611, 1639,
1642, 1675, 1677]
[1076, 1157,
2203]
Kristinsson, Kristinn,
[1892]
Lacker, Kevin,
[845]
301, 346]
Kreinovich, Vladik,
Laan, M. D. van der,
Kumamura, S.,
[15]
[2239, 193,
223, 1699, 300, 1464, 2192]
Kraft, P.,
[2144]
[2134]
Koza, John R.,
Kraft, Peter,
Kyngäs, Jari,
Kumamaru, K.,
[1285]
Koumoutsakos, Petros D.,
[1300, 1494,
1497, 1504, 876, 1946, 1697, 1956,
1390, 1418]
[2193, 2194,
Kurnaz, Mehmet Nadir, [547]
2195, 2196]
Krone, Joerg,
[1098]
Kuruma, Toshiji,
[2227]
Krone, Jörg,
[1213]
Kussul, Ernst M.,
[750]
Kruggel, F.,
[468, 749]
Kussul, Ernst,
[1448]
Krusienski, D. J.,
[1585, 1592]
Kusuma, Tony,
[1849]
Krzyżak, A.,
[716, 2284]
Kusumoputro, Benyamin,
Larch, David E.,
[2209]
[688, 857,
922, 2285]
Larsen, N.,
[1922]
Larsson, Johan,
[1551]
Authors
Lashkari, R. S.,
35
[1994, 1754]
Lee, Jong Kook,
[1005]
Leung, S. H.,
[1853, 1634,
1507, 1759, 1766]
Laskaris, N.,
[1918]
Lee, Joo-Young,
[541, 1067,
Leung, S. W.,
[1541]
[2138]
Leung, Yee,
[1305]
Lee, Kual-Zheng,
[464]
Leutbecher, M.,
[1796]
Lee, Kyu-Heon,
[981]
Levenson, Richard M.,
[606]
Lee, M. H.,
[381]
Levialdi, Stefano,
[1498]
Lee, M. K.,
[1541]
Levin, Michael,
[1878]
Lee, R. S. T.,
[1758]
Levin, Moshe,
[445]
Lee, Sangjean,
[2006]
Levin, R. I.,
[1516]
Levine, Martin D.,
1131]
Lau, R. W. H.,
[823, 834]
Lau, W. H.,
[1507]
Laubscher, B. E.,
[816]
Laurent, H.,
[377]
Laurikkala, Jorma,
[265, 325]
Lavenier, Dominique,
[1505]
Lee, Ju-Jang,
Lavine, Barry K.,
[1266, 1290,
123, 1308, 1317, 1428, 1450, 1452]
[698, 2353,
Lawrence, P. D.,
[2099, 2195]
Lee, Sang-Kyung,
[872]
Lawson, Christy L.,
[364]
Lee, Sangmin,
[1998]
Levine, S. H.,
[1900]
[379, 2068]
Lee, Seong-Whan,
[873]
Levine, Stephen H.,
[1019]
[2097]
Lee, S.,
[673]
Levy, Ron,
[459]
Lazanski, Colin J.,
[23]
Lee, Sungkee,
Levy-Vehel, Jacques,
[1839]
Lazarov, Michel P.,
[1601]
Lew, Michael S.,
[507]
Lazarov, M.,
[1796]
Lewis, Paul S.,
[1229]
Le, Tu Van,
[1010, 2038]
Li, A-Meng,
[643]
Li, Bai,
[949]
Li, Bin,
[1822]
Li, C. James,
[2202]
Li, Chonghe,
[1388]
Li, Chuxiang,
[489]
Li, E. Hebert,
[1564, 1569]
Lawson, S.,
Lay, Ming-Yi,
734, 2290]
Leacock, Thomas James, [1040]
Leblebicioglu, K.,
[667, 732,
[830, 1933,
2018, 316]
Lee, Tae Hong,
[1981]
Lee, Tong,
[2210, 583]
Lee, Y. H.,
[1750]
Lee, Yih-Gong,
[770, 383]
Lee, Yillbyung,
[103, 121]
Lee, Yong Hoon,
[1508]
2289, 1233, 1234]
Lebo, Timothy M.,
[567, 576]
Lecce, L.,
[41]
Lecouve, M.,
[1542]
Lee, A.,
[1994, 1754]
Lee-Kwang, Hyung,
[2125]
Li, E. Herbert,
[1533]
Lee, Alex M. K.,
[1541]
Lees, B.,
[2381]
Li, Eric S.,
[1986]
Lee, Byung Jin,
[1440]
LeFevre, J.,
[2380]
Li, H. Y.,
[1988]
Lee, Charles,
[155]
Legendijk, R. L.,
[1192]
Li, Haimin,
[1055]
Lee, C.,
[19]
Legrand, Pierrick,
[1839]
Li, Hong-Yan,
[433]
Lee, Dah-Jye,
[1499]
Legros, Claude P.,
[73]
Li, Jiahong,
[650]
Lee, Dong Wook,
[1430]
Lehotsky, M.,
[1259]
Li, Junfei,
[499]
Lee, Dong-Il,
[1804]
Lehtinen, Joonas,
[609]
Li, Jupeng,
[636]
Li, Ling,
[1594]
Li, Maohai,
[2320]
Li, Mei-yi,
[2321]
Li, Ming,
[450, 474]
Li, Pak C.,
[100, 98]
Li, Shukai,
[622]
Li, Stan Z.,
[466, 517]
Li, Wei,
[1686]
Lee, Yongbum,
[153]
Lee, Young-Ho,
[1651, 1662,
1664, 1693, 1698, 1767]
Lee, Eung-Joo,
[896]
Leigh, J. R.,
[1768]
Lee, Eunsil,
[1998]
Leigh, William,
[1316]
Lee, Hagyu,
[2001]
Lele, Shreevardhan,
[149]
Lee, James X.,
[2150]
LeMoigne, Jacqueline,
[511]
Lee, Jee-Hyong,
[2125]
LeMoigne, J.,
[1116]
Lee, Jeongheum,
[1582]
Leong, H. V.,
Lee, Jia-Hong,
[770]
Leou, Jin-Jang,
Lee, Jian-Der,
[494]
[823]
[680, 961,
1077, 1124]
Lee, Jiann-Der,
1064]
Lee, Jin-Seon,
Lepri, Stefano,
[459]
Li, Xiaoyuan,
[475]
Lerch, R.,
[82]
Li, X.,
[1102]
Leung, Henry,
[20, 1821, 819]
Li, Yi,
[1264]
[846, 917,
[1293]
36
Li, Ying,
[572]
Li, Y.,
[2111, 1884,
Lingyun, Zhou,
[822]
Lo, Titus,
[819]
Linlin, Li,
[2178]
Lock, K. S.,
[1732]
Liou, Ming L.,
[1215]
Loe, K. F.,
[388]
[969]
Lohmann, Reinhard,
2131, 1965, 2145]
Li, Yuling,
[61]
Li, Zuofa,
[2378]
Liang, Meng,
[1559]
Liang, Shunlin,
[555]
Lis, Joanna,
Liao, Hstau,
[1489]
Liatsis, Panagiotis,
Liatsis, Panos,
Lippman, Andrew B.,
Lippmann, Richard P.,
[1466, 1467,
Loia, Vincenzo,
[294]
[212]
Loia, V.,
[227]
Litt, Brian,
[1824]
Lombardi, Luca,
[129]
[396]
Litva, John,
[819]
[2308]
Litz, L.,
[134]
Loncaric, Sven,
[202, 1200]
Liu, Bo,
[2303]
Lončarić, Sven,
[700]
Liu, C. T.,
[2313]
Long, Fuhui,
[432]
Liu, C. Y.,
[334]
Longstaff, Dennis,
[1321]
Liu, Chengjun,
[417, 1039]
Longxiang, Sun,
[1117]
Liu, Chunyan,
[626]
Lopatina, S. A.,
[2046]
Liu, D. K.,
[2322]
Lopes, H. S.,
[2033, 2039]
Liu, G. P.,
[2173]
Lopez, F.,
[424]
Liu, Heng,
[1589]
Lorette, G.,
[692]
Liu, Hong,
[430, 1051]
Loskiewicz-Buczak, Anna,
Liu, Hsiao-Chung,
[1383, 1412]
Loss, D.,
[2356]
Liu, Huan,
[1442]
Louchet, Jean,
[497, 2365]
Liu, J. N. K.,
[834, 1758]
Louchet, J.,
[435, 2225]
Liu, Jian,
[571]
Louis, Sushil,
[530]
Liu, Jiming,
[979, 1065]
Loveard, Thomas,
[148]
Liu, J.,
[1630]
Low, Kay-Soon,
[652]
Liu, Liren,
[995]
Lozano, J. A.,
[1438]
Lozano, R.,
[2042]
Lu, H. C.,
[1538]
Lu, H. Q.,
[1265]
Lu, Hanqing,
[1278]
Lu, Hung-Ching,
[1740]
Lu, Jianhua,
[489]
Lu, Jianming,
[990]
Lu, Songwu,
[2118]
Liatsis, P.,
[427, 1123,
1130]
Liaw, C. Y.,
[2171]
Liberali, Valentino,
[1557, 1568]
Licheng, Jiao,
[1272, 1423]
Liddy, E. D.,
[322]
Liedtke, C.-E.,
[1214]
Lien, Cheng-Chang,
[2266]
Liese, Achim,
[2295]
Lieven, N. A. J.,
[1516]
Likothanassis, S. D.,
[1701]
Likothanassis, Spiros D., [1491]
Lillo, W. E.,
[1886]
Lim, C. -G.,
[1955]
Lim, S. K.,
[875, 926,
1375]
Lim, S. M.,
[1967, 1217,
1218, 2069, 1219]
[45, 1904]
Lin, C. H.,
[1128]
Lin, Cheng-Jian,
[619]
Lin, Chin-Teng,
[1263]
Lin, Chun-Hung,
[818, 958,
1038, 401]
1216]
Liu, Ming,
[582]
Liu, Po-Tsun,
[817, 908]
Liu, Weiquan,
[753]
Liu, W.,
[1490]
Lomonosov, Evgeny,
[584, 616,
620, 621]
[1848]
Lin, Der-Sheng,
[680, 961]
Liu, Y. W.,
[1104]
Lin, Jianhua,
[746]
Liu, Yong,
[330]
Lin, Ray-Shine,
[523]
Liu, Z. M.,
[1134]
Lin, Tseng-Hsien,
[11]
Liu, Z. Q.,
[1420]
Lu, Weixue,
[304]
Lin, Wei,
[2390]
Liu, Ze-Yi,
[643]
Lu, Y. C.,
[240]
Lin, X.,
[640]
Liu, Zhi-feng,
[1743]
Lu, Yenchih,
[25]
Lin, Yingqiang,
[372, 1322]
Liu, Zhongren,
[1566]
Lu, Yinghua,
[647]
Lina, Xu,
[2178]
Livens, S.,
[881]
Lu, Z. M.,
[1166]
Lindblom, U.,
[1852]
Llorà i Fàbrega, X.,
[1434]
Lucas, Simon M.,
[569]
Lloyd, S.,
[2373]
Lucasius, Carlos B.,
[1468]
Lindholm-Sethson, Britta,
[361]
Lineaweaver, Sean,
[1833]
Lo, Joseph Y.,
[120]
Luchian, Henri,
[177]
Ling, Hao,
[499]
Lo, K. L.,
[1483]
Luchian, Silvia,
[177]
Authors
37
Ludvig, Jozsef,
[1413]
Mahajan, A.,
[2313]
Marabini, R.,
[261]
Luginsland, John W.,
[2393]
Mahanti, P. K.,
[1598]
Marc, F.,
[1542]
Luh, G.-C.,
[2172]
Mahdi, Hani,
[533]
Marcelli, A.,
[128]
Luk, A.,
[1853, 1634,
Mahlab, Uri,
[2396, 1469,
[1332, 718,
735, 1429, 1451]
1785]
1507, 1759, 1766]
Marcelli, Angelo,
Lukin, Vladimir V.,
[1313]
Maillard, Eric,
[839]
Marchette, David J.,
[883, 1014]
Luling, R.,
[828, 913]
Mailman, Richard B.,
[317]
Marchisio, Mauro,
[425]
Lull, G.,
[1595]
Maji, Pradipta,
[1312]
Marenbach, Peter,
[2129, 2180]
Lund, Donald E.,
[939]
Makarov, Yuri V.,
[1984]
Margetts, S.,
[289]
Lung, Shung-Yung,
[1825]
Makkeasorn, Ammarin, [650]
Markaki, M. G.,
[43]
Markaki, M.,
[2389]
Markhauser, C. P.,
[1042]
Markhauser, C.,
[1025, 1032]
Marko, Kenneth A.,
[1845]
Maroulis, D.,
[638]
Mars, Phil,
[1923, 1968]
Lunney, T.,
[1362, 1366]
Makrogiannis, S. K.,
Lunney, Tom,
[1419]
Makrogiannis, Sokratis, [645]
Luo, Ronghua,
[2320]
Malanda, A.,
[1919]
Lu-ping, Xu,
[659]
Malaviya, Ashutosh,
[1329]
Malaviya, Paritosh,
[1329]
Lutton, Evelyne,
[1839, 1862,
723, 783, 1143]
Lutton, Pierre,
Malczyk, Roman,
[1143]
[596]
[1973]
Maldonado, Theresa A., [1722]
Lybanon, Matthew,
[907]
Malpica, Jose A.,
[1148]
Lybanon, M.,
[2070]
Mamlook, Rustom,
[2112, 1893]
Lynch, J. F.,
[12]
Man, K. F.,
Lyoka, S. L.,
[2176]
Lyons, D. P.,
[1053]
Lyons, Donald P.,
[851, 2386,
989, 1024]
[1300, 1565,
1494, 1497, 1504, 876, 1697, 1970,
1985, 1418]
[1522]
Mancuso, S.,
[820]
Martin, R. R.,
[1731]
Martin, Ralph R.,
[870]
Martin, S.,
[1615, 1648]
Martin, T. P.,
[1037]
Martin, T.,
[71]
Martin, Worthy N.,
[1454]
Martinez, A. S.,
[287]
Martinez, P.,
[723, 783]
Martinez-Perez, I.,
[232]
Martins, Alejandro,
[2149]
Martı́nez, Aleix M.,
[410, 1289]
Mandava, Venkat R.,
[1202, 1208,
[2317]
Ma, Chi Ho,
[465]
Mandyam, G.,
[1678]
Manganaro, G.,
[2108]
Mange, Daniel,
[2369]
Mani, V.,
[1268]
Maniadakis, M.,
[88]
Manian, Vidya B.,
[521]
Manjunath, A. S.,
[581]
Ma, Q.,
Ma, Shaopeng,
Ma, Songde,
[1506]
[570]
[1264, 420,
1278]
[1583, 1587,
1711]
[2347]
Mandow, Anthony,
[1305]
Marshall, Stephen,
Martin, Noel M.,
[939]
Ma, Jiang-Hong,
[1616, 1643,
1656, 1679, 387, 1757]
Martin, Martin C.,
Lyzenga, David R.,
[2102, 1660,
Marshall, S.,
[1743]
[1440]
2140]
[1786, 1787,
1788]
Man, Kim-fung,
Lyou, Kyoung,
Ma, J. T.,
Mars, P.,
1220]
Ma, SongDe,
[2271]
Manjunath, B. S.,
[1016]
Martı́nez, Jorge L.,
[2317]
MacDonald, R.,
[2381]
Mann, D.,
[111]
Marty, A.,
[2014]
Maclay, David,
[2198, 2199]
Mann, George K. I.,
[2319, 2325]
Maru, V. M.,
[1927]
Macleod, Malcolm D.,
[1512]
Manolas, D. A.,
[54]
Masand, Brij,
[179]
Maeda, T.,
[1422]
Manolas, Dimitris,
[1502]
Mashohor, Syamsiah,
[632, 634]
Maes, Pattie,
[690, 1784]
Mantere, Timo,
Maslov, Igor V.,
[434, 493]
Maffione, Angelo,
[1896]
Massa, Andrea,
[447, 1150]
Magee, Derek R.,
[369]
Masters, Shawn C.,
[756]
Masters, Timothy D.,
[120]
Mastrovito, C.,
[891]
[2206, 508,
1570, 2208, 2314, 542, 575, 2213,
1590, 593, 603, 649, 2217, 2218,
2219, 663, 1109, 2274, 1179, 1180]
Mäntykoski, Janne,
Magnusson, Robert,
[1722]
Mao, K. Z.,
Mahajan, Ajay,
[1625]
[414, 485, 580]
1523]
[92, 2158,
38
Masunaga, Shinya,
[884]
McKee, Dan,
[120]
Miller, W. C.,
[1994, 1754]
Mata, M.,
[1295]
McKee, Thomas E.,
[140]
Min, Shermann L.,
[1335]
Mather, P. M.,
[1113]
McLaughlin, S.,
[1977]
Minami, Mamoru,
[2334, 1138,
2348]
Mathias, Keith E.,
[495, 1849]
McOwan, P. W.,
[757]
Matoba, O.,
[1315, 1318]
Meadows, Guy A.,
[939]
Miner, William,
[2358]
Miner, Jr., P. M. Valanju, [2398, 2399]
Matsopoulos, George K.,
[490, 2343,
Medina, V.,
[565]
Mehdi, Q.,
[671]
Melgani, Farid,
[166]
Mendes, E. F.,
[1409]
1139]
Matsoukas, S.,
[1444]
Matsui, K.,
[691, 724,
1068, 2034]
Ming, John C.,
[667]
Ming, John,
[732, 2290]
Ming, Wu,
[1423]
Minguez, Antonio,
[62]
Mingwang, Zhao,
[2146]
Minoshima, K.,
[441, 2305]
Mir, Arnau,
[2207]
Mirkin, Irina,
[1703]
Mirmedhi, M.,
[993]
Mirmehdi, M.,
[991]
Misgna, Girmay,
[657]
Mitchell, Ian,
[113]
Mitchell, Melanie,
[1154]
Mitra, S. K.,
[398]
Matsumoto, Y.,
[1046]
Meng, H.,
[2387, 1063]
Matsushita, Hirokazu,
[2382]
Menier, G.,
[692]
Mattavelli, Marco,
[425]
Menozzi, R,
[1974, 2014]
Matthews, C.,
[262]
Menozzi, Roberto,
[1920]
Mauri, Andrea,
[146]
Merelo, J. J.,
[261]
Maxwell, Bruce A.,
[2276]
Merkle, Laurence D.,
[2393]
Maxwell, R. J.,
[232, 257]
Merrigan, Chadd,
[567, 576]
May, Alex C. W.,
[178]
Meslati, D.,
[267]
May, Frank U.,
[1866]
Messa, K.,
[2070]
May, R. J.,
[1880]
Metzler, Volker,
[1098]
Mayer, Theresa S.,
[1594]
Meunier, Jean,
[1296]
Mayfield, Howard T.,
[1266, 1290]
Meunier, J.,
[2277]
Mayfield, Howard,
[1452]
Meusinger, Reinhard,
[145]
Mayr, Christian,
[1828, 1832]
Meyer, Donald J.,
[1333]
McAulay, Alastair D.,
[1221, 347]
Meyer, George E.,
[556]
McCauley, Daniel G.,
[1301]
Meyer zu Bexten, E.,
[367]
Mityushev, D. F.,
[389]
McCleod, M. D.,
[1789]
Meygret, Aimé,
[1234]
Miyahara, S.,
[1397]
McClintock, Shaunna,
[1419]
Michalski, R. S.,
[348]
Miyamichi, J.,
[1047]
McClintock, S.,
[1362, 1366]
Michielssen, Eric,
Miyasaki, Takashi,
[446]
Miyauchi, Hiroshi,
[1274]
Miyojim, M.,
[784]
Mizukami, Yuto,
[2382]
Mizuno, Hirotakak,
[1807]
Mizuseki, Hiroshi,
[1553]
Mizutani, Eiji,
[423]
Mlynek, Daniel,
[1045]
[1644, 1792,
1793]
McClurkin, G. D.,
McConnell, Roderick,
[85]
Middleton, L. T.,
[349]
Mignotte, Max,
[96, 1296]
Mignotte, M.,
[2277]
Mikami, Sadayoshi,
[1850]
Mikhasev, Yu. I.,
[78]
[1505]
McCormack, Michael D., [1810]
McDaid, L. J.,
McDonnell, John R.,
[2301]
[1858, 190,
209, 1222]
McDonough, J. M.,
[2366]
Miles, Gaines E.,
[1716, 1744,
1744]
McGinnity, T. M.,
[2301]
McGowan, R. S.,
[33]
McGowan, Richard S.,
[50, 84]
McInnes, F. R.,
Mitrakis, Nikolaos E.,
[172]
Mitsukura, Y.,
[1284]
Mittra, Raj,
[1546, 1565,
1792, 1793]
[1720, 1748]
Mo, Yulong,
[430, 1051]
Miliani, L.,
[1189]
Mock, K. J.,
[350]
Milici, G.,
[614]
Mohajer, K.,
[510]
Militzer, Burkhard,
[1996]
Mohamad, Dzulkifli,
[1298]
Miller, J. F.,
[1756]
Mohan, C. K.,
[866, 963]
Miller, J. H.,
[12]
Moharir, P. S.,
[1927]
Miller, James H.,
[23]
Mohr, Roger,
[531, 1079]
[371]
[747, 1916,
1943, 1949]
McKay, Ben,
[461, 479,
2241, 1978, 1086, 1152]
Miles, R. E.,
McGregor, Douglas R., [1223]
McInerney, Tim,
Mitra, Suman K.,
[2139]
Authors
39
Moldoveanu, F.,
[47]
Mozos, M. Reyes de los, [298]
Nagao, T.,
Mollah, M. M.,
[990, 1075]
Mrazek, P.,
Nagao, Tomoharu,
[860]
[882]
[669, 378,
800, 884, 1227, 1228]
Molt, K.,
[2031]
Mrozek, Adam,
[90]
Mombers, Frederich,
[425]
Mueksch, M. C.,
[693]
Mombers, Friedrich,
[1045]
Muge, Fernando,
Monori, M.,
[1737]
Montague, Gary A.,
[2139]
[472, 481,
1554, 1160]
Mujumdar, P. M.,
Montana, David J.,
[2127]
Mukawa, Naoki,
[879]
Mukerjee, Amitabha,
[2339]
[1224, 1225,
2071]
[2345]
Muller, H.,
[2211]
Montilla, Guillermo,
[1189, 1190]
Müller, Wolfgang,
[2229]
Moody, Jonathan,
[110]
Mumolo, E.,
[1842, 1908]
Moon, Byung-Ro,
[2304]
Mun, S. K.,
[954]
Moon, Yoonkeon,
[2001]
Munteanu, Cristian,
Nagasaka, K.,
[2337]
Nagase, Yukinori,
[615]
Nagata, R.,
[982, 1158]
Nagayama, I.,
[1987, 315]
Naghdy, Fazel,
[2114]
[418, 418,
Nair, P. B.,
[2127]
Nakagawa, A.,
[807]
Nakagawa, Kenji,
[844]
Nakamura, H.,
[1422]
Nakamura, Ikuo,
[932]
Nakamura, K.,
[1885]
Nakamura, Taro,
[451, 1288]
Nakamura, T.,
[1275]
Nakamura, Tsuyoshi,
[443]
487, 524]
[1876]
Moores, Anthony J.,
[1266, 1290,
123, 1308, 1317, 1428, 1450, 1452]
Murakami, M.,
[1297]
Murakami, N.,
[1011]
Mora, Jorge Luis,
[1851]
Murao, Hajime,
[1572]
Moraga, C.,
[367]
Murase, I.,
[2246]
Morales, Jesús,
[2317]
Murata, H.,
[532, 2348]
Moran, F.,
[261]
Murata, Tadahiko,
Moreno, L.,
[206, 211, 219,
234, 235, 251, 260, 284, 285, 295]
[131, 158,
2168]
Murray, A.,
[210, 244]
[2111, 2131]
Moreno, Luis,
[2310]
Murray-Smith, D. J.,
Mori, Hiroyuki,
[2286, 2287]
Murthy, C. A.,
Mori, Kunihiko,
[854]
Mori, Masayuki,
[1287]
Naghshineh, Mahmoud, [2364]
Monti, Dalida,
Moore, Jason H.,
Nagao, Z.,
[2238, 789,
[461, 479,
2241, 1086, 307, 398, 1152]
Murthy, Chivukula A.,
246, 329]
840, 935]
Mori, M.,
[1070]
Mori, Y.,
[2250]
[194, 224,
Murty, M. Narasimha,
[471, 519,
787, 1443, 335]
Muscato, G.,
[2052]
Nakao, Zensho,
[759, 785,
2249, 797, 801, 802, 803, 863, 864,
897, 903, 902, 932, 933, 937, 938,
941, 942, 943, 944, 806, 1021, 1031,
1030, 1034, 1035, 1044, 312, 1170]
Nakashima, Tomoharu,
[211, 235,
260, 333]
Nakasone, M.,
[864]
Nakatsu, Junko,
[1555]
Nakazono, K.,
[1384]
Nambiar, Raghu,
[1923, 1968]
Nambiar, R.,
[1786, 1787,
1788]
Nandi, A. K.,
[2205, 365,
1493]
Morikawa, M.,
[2376]
Musgrove, P. B.,
[671]
Nandi, Suchismita,
[1427]
Morimoto, Ken-Ichi,
[2367]
Mustafi, Abhijit,
[1598]
Nanning, Zheng,
[1073, 1141]
Morimura, Atsushi,
[773]
Myers, Jenny,
[159]
Napolitano, M.,
[242]
Morishima, Shigeo,
[2257]
Nappi, M.,
[891]
Nara, S.,
[1188]
Mornon, Jean-Paul,
Myers, Richard,
[358]
Moscinski, J.,
[2147]
Mosher, John C.,
[1229]
Moskowitz, Myron,
[827]
Mott, David,
[2370]
Mou, Changhua,
[607]
[408, 1279,
514, 2259, 1399]
Myler, Harley R.,
[442, 988,
1463]
Myodo, Emi,
n,
[553, 585]
[?]
ga, P. Larra}ga99aJALozano
Nagahashi, Hiroshi,
[669, 378,
800, 1227, 1228]
Moura Oliveira, P. B. De, [2379, 2162]
Mouravliansky, Nicolaos A.,
2343, 1139]
Moustafa, Mohamed,
[2364]
Narasimhan, Amruthur, [2221]
Narasimhan, Anand,
[1246]
Narieda, Shusuke,
[1826]
Naruse, H.,
[695]
Nasri, Ahmad,
[168]
Nastac, Iulian,
[157]
Nagahashi, H.,
[1009]
Nasu, Masami,
[1921]
Nagai, N.,
[1688]
Nawa, Norberto E.,
[2155]
Nagamoto, H.,
[863]
Nazarov, E.,
[1280]
[490,
40
Negulescu, A.,
[1709]
North, R. G.,
[2005]
Olague, Gustavo,
[2298, 531,
1079]
Nein, His-Wen,
[1263]
Nowrouzian, B.,
Nelles, Oliver,
[2086]
Nozaki, Ken,
Nelson, P. A.,
[1889, 53]
Neto, Joao Camargo,
[556]
[1715, 1734]
Olej, V.,
[1259]
Oliveira, L. S.,
[1294, 1319]
[452]
Ölmez, Tamer,
[122, 547]
Nugroho, H.,
[996, 1052]
Olmez, T.,
[276, 313]
Nunnari, G.,
[2052]
Ölmez, T.,
[332]
Nyquist, D. P.,
[1847]
Olmi, R.,
[458]
Nyquist, Dennis P.,
[1891]
Olofsson, T.,
[77]
Nyström, Josefina,
Omata, Toru,
[2227]
[361]
Omato, S.,
[1155]
[176, 188,
198, 236, 342, 343]
Ntalianis, K. S.,
Nettleton, David John, [694]
Neubauer, Andre,
[1645]
Neubauer, André,
[1894, 1901,
1692]
Neubauer, A.,
[1694, 1733]
Nevalainen, Olli,
[1270, 557,
832, 1961]
Newbern, Jeffrey,
Oakley, E. H. N.,
[2073]
Oakley, Howard,
[1617]
Obata, Kenzo,
[1421]
Omatu, Sigeru,
[2260]
Ng, S. C.,
[1634, 1507,
1759, 1766]
Obata, K.,
Ng, S. G.,
[1853]
Ng, Wee-Keong,
[1938]
Ngan, H. W.,
[1567]
Nguyen, E. M.,
[1959]
Nguyen, Thang,
[1336]
Nice, William F.,
[1867, 1902]
[796, 795,
894, 901, 930]
[136, 711,
1337, 1369, 992, 1093, 1460, 1203]
Omatu, S.,
[1348, 1382,
2024, 2027]
Omori, Kiyohiro,
[2368]
Omran, Rostom,
[1276, 105]
Obenschain, Keith,
[2370]
Ochi, Luiz Satoru,
[651]
Ochi, M.,
[15]
Onami, S.,
[1348]
Ochoa, Edward M.,
[1146]
Oneill, D. J.,
[34]
Oe, Shunichiro,
[1140]
Oner, M.,
[1746, 1753]
Ono, Masaya,
[1257]
Oe, Syunichiro,
[859, 923,
Onami, Saizo,
[711, 1337,
1093]
Nicholis, Thomas E.,
[373]
Ono, Michinari,
[1274]
Nichols, David E.,
[317]
Oechtering, Peter,
[1004]
Ono, T.,
[1982]
Nickolay, Bertram,
[525]
Ogiwara, Haruo,
[1966]
Onstott, Robert G.,
[249]
Nickolay, B.,
[89, 853, 1745]
Oh, Il-Seok,
[1293]
Ooi, Y.,
[996, 1052]
Nicoulaz, Didier,
[425]
Oh, Jae Chan,
[1221, 347]
Opaterny, Thilo,
[1245]
Niculae, C.,
[887]
Ohkawa, T.,
[1422]
Oppenheim, Alan V.,
[1496]
Nie, Kai-bao,
[2303]
Opsal, Jon,
[1129]
Niemistö, Antti,
[1313]
Ost, Alexander,
[1245]
Niemöller, A.,
[2031]
Nikita, Konstantina S., [2343, 1139]
Niño, Fernando,
[422]
Nishii, Hisao,
[1057]
Nishikado, H.,
[532]
Nishikage, T.,
[1382, 1046]
994, 1027, 1078, 1172]
Ohkubo, Masaki,
[153]
Ohmori, H.,
[1869, 1935]
Ohnishi, K.,
[1869, 1898]
Ohnishi, Noboru,
[2382]
Otani, Atsushi,
[730]
Ohta, M.,
[2251]
Otoba, K.,
[1069]
Ohtani, Kozo,
[1311]
Ottner, Stephen C.,
[2360]
Ou, Gang,
[836]
Ouaazizi, A. El,
[2254, 327]
Ohya, J.,
Ohya, Jun,
Ostrowski, Tomasz,
[974]
[1358, 865,
[1646, 1663,
1665, 1975, 1790]
[1175]
2257]
Ouladsine, M.,
[2117]
Nissinen, Ari S.,
[2128]
Ohyama, R.,
[1029]
Ovaska, Seppo J.,
[1680, 1762]
Nithiyanandam, N.,
[2010]
Ojeda, R. G.,
[1895]
Ovellesco, A.,
[41]
N.Nagai,
[1632, 1652]
Okamoto, Koji,
[997]
Overington, John P.,
[178]
Owen, F.,
[111]
Ozawa, Seiichi,
[15]
Nishikata, Takeharu,
Nobiki, A.,
[695]
Okamoto, K.,
[920]
Noide, Yasushi,
[1175]
Okoma, S.,
[1449]
Nordin, Peter,
[225, 1033]
Okubo, Naofumi,
[2008]
Okumura, A.,
[791]
Nordling, Torbjörn E. M.,
[361]
Ozawa, S.,
[899, 996,
1982, 1726, 1052]
Ozcan, E.,
[866, 963]
Authors
41
Ozdemir, E.,
[1903, 1951]
Park, S. H.,
[1486, 2270]
Pereira, C. M. N.,
[287]
Paar, Gerhard,
[2269]
Park, Se Hyun,
[1005]
Pereira, Luı́s Moniz,
[2363]
Park, Seung-Ho,
[1091]
Pereira Bellon, Olga Regina,
Parker, J. H.,
[2262]
Parker, J. R.,
[848]
Parkinson, Bradford,
[2377]
Parkinson, Wendy,
[1833]
Parry, S.,
[1791]
Perez, Claudio A.,
[1379]
Parsons, M. D.,
[190]
Pérez, Raúl,
[271]
Pasquariello, G.,
[310]
Perkin, Simon,
[101]
Passos, N. L.,
[1097]
Perkins, Simon J.,
Passos, Nelson L.,
[1096]
Pastorino, Matteo,
[447, 1150]
Patel, Devesh,
[1669]
Paterakis, E.,
[2159]
Patiakin, O. V.,
[1768]
Patnaik, L. M.,
[1268]
Patterson, Tim J.,
[1604, 1681]
Pattichis, C. S.,
[349]
Petridis, V.,
[2159]
Paulinas, Mantas,
[642]
Petriuc, Mihail,
[177]
Pavan, Manuela,
[146]
Petrovic, Z. R.,
[1881]
Payer, Hannes,
[169]
Petrovski, I.,
[2091, 2101]
Pazos, Alejandro,
[552]
Petrowski, A.,
[328]
Péan, Vincent,
[1839]
Petry, Frederick E.,
[215, 907]
Peck, Charles C.,
[1201]
Pettit, Elaine J.,
[1470, 351]
Pedotti, A.,
[2307]
Pettit, Michael J.,
[351]
Pedrycz, Witold,
[100, 98]
Peufeilhoux, Renaud de, [2288]
Pei, Min,
[268, 340]
Pham, Binh,
[1114]
Pelikan, Martin,
[2316]
Pham, Minh,
[613]
Pelillo, Macello,
[670]
Pham, T.,
[1806]
Pelillo, Marcello,
[1896]
Pham, Tuan D.,
[1393]
Philippides, A.,
[1281]
Pacheco, Marco Aurélio Cavalcanti,
[2212,
573, 578, 579, 594, 612, 617, 376]
[1764]
Pacheco, Roberto C. S., [2149]
Pachowicz, Peter W.,
Paez, Thomas L.,
[2351]
[2297]
Page, Edward,
[1930]
Pagliari, C. L.,
[2273]
Pagliari, Carla L.,
[952]
Pagliari, G. M.,
[868]
Pai, S.,
[1561, 1585]
Pal, Nikhil R.,
[1427, 326]
Pal, Sankar K.,
[480, 126,
699, 728, 1339, 194, 761, 224, 246,
307, 329, 1237, 1238, 1239, 1240]
Palaniappan, Kannappan,
Palaniappan, Ramaswamy,
[91, 1256]
[136]
Palermo, Gianluca,
[639]
Palmer, P. L.,
[993, 991]
Palmieri, Francesco,
[395]
Pan, Chunhong,
[420]
Pan, J. K.,
[980]
Pan, J. S.,
[747, 1916,
1939, 1943, 1949, 2004]
Pan, Jeng-Shyang,
[299]
Pan, Li,
[502, 160]
Pan, Zhong-Xiao,
[1163]
Pangabean, Martha Y., [2209]
Pantsios, Rao K. R.,
[1025]
Panwar, B. S.,
[1577]
Papadopoulos, G.,
[1999]
Papathanasopoulos, P., [1918]
Peña-Reyes, Carlos Andrés,
1323]
[1456]
Peremans, H.,
[1999]
Perez, C. A.,
[2074]
Page, David L.,
Perelson, Alan S.,
[107, 124,
1115, 1168]
[116, 139,
1154]
Perkins, Simon,
[114,
[467, 133,
1584]
Perona, Melissa T.,
[1301]
Perpar, Matjaž,
[1802]
Perry, B. T.,
[2362]
Pétillot, Y.,
[792]
Petrick, Nicholas,
[233, 877,
247, 1082]
Paraiso, A.,
[298]
Phokharatkul, Pisit,
[1299]
Paredis, Jan,
[237]
Pendleton, N.,
[111]
Phua, K. H.,
[388]
Parekh, David,
[2392]
Pendock, Neil,
[1230]
Piazza, F.,
[1607, 1672]
Parikh, Jo Ann,
[1000, 1059]
Peng, Hanchuan,
[432]
Piazza, Francesco,
[1655, 1689]
Parisi, D.,
[820]
Peng, Hanjun,
[1647]
Piazzi, A.,
[1974]
Parizeau, M.,
[1416]
Peng, Hui,
[1827]
Piazzi, Aurelio,
[1920]
Park, Gwi Tae,
[1440]
Peng, L. M.,
[1265]
Pickens, III, David R.,
[1202, 1208]
Park, June-Ho,
[1804]
Peng, Lihui,
[607]
Pickering-Brown, S.,
[111]
Park, R.- H.,
[778]
Peng, Xiang,
[643]
Picton, P. D.,
[2037]
Park, Rae-Hong,
[744]
Pennington, Randall,
[760]
Pignalberi, Gianluca,
[1498]
42
Pilato, Christian,
[639]
Pourabdollah-Nezhad, Siamak,
[431,
Rachman, Leila F.,
[2209]
Rad, A. B.,
[1567, 2323]
Rad, Farshid Rafiee,
[431, 492]
Raffiei, S. M. R.,
[1636]
Raghavan, S.,
[149]
Ragusa, James M.,
[1316]
Rahman, A. F. R.,
[1110]
Raidl, G. R.,
[1003]
Rajan, E. G.,
[739]
492]
Pilch, Alan,
Pilla, Jr V.,
Pintavirooj, C.,
Pinto-Elias, R.,
Pintoferreira, C. A.,
Piper, Jim,
Pitiot, Alain,
Pizarro, Consuelo,
Pizzi, Nicolino,
Pizzuti, S.,
Playfer, Jeremy R.,
[414, 485, 580]
[215]
Prabhu, Obili S.,
[1246]
Prabhu, V.,
[1577]
Prakash, M.,
[787]
Pramanik, S.,
[560]
Prasad, N. R.,
[1959]
Rajan, K. Soundara,
[666]
Prasad, S.,
[2029]
Rajesh, A.,
[2175]
Prashanth, N.,
[739]
Ramakrishnan, K. R.,
[986]
Preciado, V. M.,
[1282]
Ramasubrahmanyan, A., [1661]
Preece, Steve J.,
[1578]
Ramasubrahmanyan, Arun,
[203]
[527]
[1836, 1840]
[100, 98]
[163]
[170]
Poh, Boon-Kiat,
[1520]
Pohlheim, Hartmut,
[2129, 2180]
Pohlmann, A.,
[99]
[453]
[1880]
[2295]
Poli, Riccardo,
[1575, 562,
924, 940, 1001, 1400, 400, 1181,
1253]
Pölzleitner, Wolfgang,
Prabhu, D.,
[2394]
[1346]
Polvichai, J.,
[907]
[1084]
Podlena, John R.,
Polani, Daniel,
Prabhu, Devaraya,
[598]
[1834]
Poland, G. A.,
[2042, 2043]
[2033]
Podestà, L.,
Polak, Wolf,
Poznyak, A. S.,
[2247]
[1563, 2263,
2269, 2278]
Priest, Stephen D.,
[2078]
Prieto, A.,
[261]
Prieto, Flavio,
[608, 625]
Ranganath, M.,
[2179]
Prieto, Manuel,
[2083]
Rangel, Naykiavick,
[1189, 1190]
Priori, S.,
[458]
Ranjithan, S.,
[1792]
Priyanka, A.,
[1577]
Rao, Ch. Venkateswara, [581]
Prochazka, A.,
[1864]
Rao, K. M. M.,
[581]
Procter, S.,
[696]
Rao, K. R.,
[1042]
Protzel, P.,
[239]
Rao, K. Subba,
[1841]
Pullen, Samual,
[2377]
Rao, M. Srinivasa,
[1841]
Pun, T. L.,
[1541]
Rao, N. S.,
[862]
Rao, Nageswara S. V.,
[544, 545]
Pomphrey, Neil,
[2358]
Pomphrey, N.,
[2398, 2399]
Popescu, D. C.,
[786]
Purvis, Russell,
[1316]
Popp, H.,
[239]
Pye, C. J.,
[204]
Poppl, S. J.,
[1411, 1435]
Pyylampi, Tero,
Porter, Reid B.,
[467, 133]
Porter, Reid,
[101, 1584]
Porto, V. W.,
[1882]
Postaire, J. G.,
[327]
Postaire, Jack Gerard,
[305]
Postaire, Jack-Gérard,
[2302, 1015]
Potter, Mitchell A.,
[93]
Potter, Walter D.,
[1683,
1509]
Punch, III, William F.,
[95, 765, 268,
340]
Ramos, Vitorino,
[472, 481,
482, 1554, 522, 1099, 1160]
Rao, Nelatury Sudarshan,
[1109, 2274,
1144, 1179, 1180]
Rao, Pantsios K. R.,
[1812]
[1032]
Rao, S. S.,
[1661, 1729,
1515]
Rao, Sathyanarayan S., [1683, 1509]
Qian-Bang, Yang,
[1425]
Qibin, Sun,
[1117]
Rathbun, Thomas F.,
[892]
Qin, Pei,
[1388]
Rathbun, Thomas P.,
[1146]
Qinghua, Wu,
[1660]
Ratilal, P.,
[68]
Qiu, Gnoping,
[386]
Ratle, Alain,
[57, 63]
Qiu, Guanghua,
[1913]
Rauss, Patrick J.,
[456]
Quintana, M. I.,
[1575, 562]
Raveendran, Paramesran,
Qun, Li,
[1706]
Ravichandran, B.,
[697, 2291]
Rao, Sathyanarayana S., [1812]
[136]
[674, 1089,
1254]
Pottie, Siska,
[69]
Rabadi, W. A.,
[988]
Ravikumar, C. P.,
[2395]
Pottie, S.,
[51]
Rabin, R.,
[470]
Ray, A. K.,
[1517]
Potty, G. R.,
[12]
Rabinovitch, K.,
[1618]
Ray, K. S.,
[850]
Potty, Gopu R.,
[14, 23]
Rabuñal, Juan R.,
[552]
Ray, Lawrence A.,
[1193]
Authors
43
Ray, Shubhankar,
[119]
Raymer, Michael L.,
[95]
Raynal, Frédéric,
[1143]
Riznyk, Volodymyr,
Rayne, C. M.,
[1852]
Robaszkiewicz, Michel,
Readle, J. C.,
Recuero, Manuel,
Redford, A. H.,
Redmill, D. W.,
[2161]
[97]
Roubos, H.,
[1267]
[1413]
Rouet, Jean-Michel,
[1061]
[538]
Roure, A.,
[71]
Routen, T.,
[824]
Rouvinen, A.,
[2264]
Roberts, A.,
[1602, 380,
[62]
Roberts, M.,
[983]
[1532, 1714,
[1649, 1670,
870, 1685, 1684]
Reeves, Colin R.,
Roubos, Hans,
[1600, 181,
205, 1360, 1687, 1471, 1231, 1794,
1232, 1472, 1473]
1628, 1798, 1799]
1717, 1731]
Redmill, David W.,
Rizki, Mateen M.,
[437, 2106,
1630, 2136]
Reformat, M.,
[1283]
Reinartz, Karl Dieter,
[1245]
Reinders, M. J. T.,
[416]
Reinhardt, E. R.,
[1194]
Rendas, M. J.,
[59]
Renganathan, S.,
[2179]
Reorda, Matteo Sonza,
[1818]
Resch, Robert,
[169]
[563, 574,
592, 2216]
Roberts, S. C.,
[1149]
Roberts, Simon C.,
[460]
Roberts, S.,
[2258]
Robertson, Craig,
[1960]
Rocha, Jairo,
[2207]
Rockett, Peter,
[1417]
Rockett, P.,
[1381, 1398]
Rodionov, Michael A.,
[178]
Rodrı́guez-Vázquez, Katya,
Rodrigues Coelho, A. A.,
Rodriguez, J. E.,
[2174]
Roux, Christian,
[538, 780,
799, 1061, 1189, 1211, 1212]
Rovithakis, G.,
[88]
Rowe, Jon,
[740]
Roysam, Badrinath,
[675, 1236,
1529]
Ruichek, Y.,
[2302]
Rujun, Chen,
[1660]
Runkle, Paul,
[1534, 108]
Runkle, P.,
[42]
Ruoppila, V. T.,
[1975]
Ruotsalainen, Marja,
[1838]
[2177]
Russo, Fabrizio,
[1280]
[1535, 1552,
964, 1121]
Rodriguez-Vazquez, K., [2148, 2165]
Russo, Marco,
[1871]
Roger, I. M.,
[2064]
Rutkowska, D.,
[306]
Roger, Ian M.,
[1387]
Rychlewski, Leszek,
[272]
Rogers, G. W.,
[883]
Ryoo, J.,
[2311]
Rogers, Steven K.,
[892, 1146]
Ryou, J.-K.,
[19]
Ressom, H.,
[134]
Reynolds, Craig W.,
[2400]
Reynolds, Robert G.,
[708, 788, 805]
Rhee, Phill Kyu,
[1581]
Ribeiro, A.,
[1282]
Rolnick, Stefan R.,
[788, 805]
Ryu, D. H.,
[1907]
Rice, James P.,
[2192]
Romero, Leonardo,
[623]
Saade, Débora C. M.,
[651]
Romero-Garcı́a, V.,
[29]
Sabaei, Masoud,
[266]
Rongguo, Yan,
[1325]
Sabourin, R.,
[1294, 1319]
Ronsin, Joseph,
[1686]
Sadjadi, Firooz A.,
[701]
Sadot, Dan,
[2396]
Richards, Gill G.,
[1609, 2058,
2059, 2060]
Richeldi, M.,
[871]
Richey, C. J.,
[1060]
Rosa, Agostinho,
[418, 418,
487, 524]
Rieffel, Eleanor,
[453]
Sagara, Setsuo,
[1989]
Rieffel, John A.,
[2276]
Rosenberger, C.,
[377]
Sagara, S.,
[2103]
Riguzzi, Fabrizio,
[2363]
Rosentengel, John E.,
[1146]
Sahandi, Reza,
[1925]
Riionheimo, Janne,
[24]
Ross, Brian J.,
[477]
Sahin, F.,
[117]
Rimell, Andrew,
[1883]
Ross, J. E.,
[2362]
Sahiner, Berkman,
Rimm, David L.,
[606]
Ross, Steven J.,
[771, 814,
228, 910, 249]
Ritter, Gilles,
[459]
Ritter, Helge,
[2335]
Ritter, J.,
[1266]
Rivera, Daniel,
[2083]
Sahota, P.,
Ross, T.,
[1411, 1435]
Rossi, Roberto,
[1557, 1568]
Rost, Ursula,
[1004]
[698, 2353,
Rivero, Daniel,
[552]
Rivory, J.,
[1615, 1648]
Rothwell, E. J.,
[2362, 1847]
Rizki, Mateem M.,
[1327]
Rothwell, Edward J.,
[1891]
[702]
Saito, Hideo,
[687, 703, 714,
725, 2238, 729, 782, 789, 840, 841,
852, 878, 886, 899, 916, 935, 1982,
1088, 1226, 1244]
Saito, H.,
Roth, Gerhard,
[233, 877,
247, 1082]
[970, 1726,
1070]
2289, 1233, 1234, 1235]
Saito, Y.,
Saitoh, F.,
[1285]
[831, 965,
391, 1122, 406, 1176, 1178]
44
Saitoh, Y.,
[845, 1389]
Sano, A.,
[1869, 1898,
Schalkoff, Robert J.,
[1145]
Scherf, Alan V.,
[1328]
Scherg, M.,
[2035]
1935]
Sajer, J. M.,
Sakakibara, Ken,
[1793]
[1885]
Santamarı́a, J.,
[566, 375]
[444]
Sakanashi, Hidenori,
[476, 624,
Sanz-Gonzalez, Jose L., [790]
1157]
Sakanashi, H.,
Sano, Y.,
[1619, 1627,
Sanz-Gonzalez, Jose,
[705]
Sapeluk, Andrew T.,
[1387]
Sapeluk, A.,
[2064]
1076]
Sakane, Shigeyuki,
Sakano, Ei,
[2227]
[1352, 1043,
1433, 1260]
Sarabandi, Kamal,
[1986]
Sakano, Hitoshi,
[879]
Sarbadhikari, S. N.,
[1978]
Sakaue, K.,
[704, 767, 880]
Sarkar, A.,
[16]
Sakurai, A.,
[2250]
Sarkar, M.,
[1402]
Sakurai, M.,
[182]
Sarkar, Susanta K.,
[645]
Sakurai-Amano, T.,
[779]
Sarma, Jayshree,
[348]
Salam, Md Sah Hj,
[1298]
Sasaki, W.,
[1161]
Salami, Mehrdad,
[1666]
Sasamoto, Youshi,
[1368]
Salami, M.,
[1076]
Sase, M.,
[691, 724]
Salcic, Zoran,
Salek, P.,
[1830]
[998, 1081,
1106]
Salichs, M. A.,
Salics, M. A.,
[2168]
[1295]
Salinas, C.,
[107, 124,
1115, 1168]
Salleh, Sheikh Hussain Sheikh, [1298]
Samal, Ashock,
[676]
Sasikala, M.,
[449]
Satalino, G.,
[310]
Sathananthan, S.,
[1719]
Sathe, Anand,
[2221]
Sathyanath, S.,
[117]
Sato, Kazuo,
[1979]
Sato, Taisuke,
[2104, 2119,
2203, 2354, 1209]
Scheunders, Paul,
[462, 540,
539, 881, 927, 936, 1006]
Scheunders, P.,
[2248]
Scheuring, J.,
[2015]
Schirru, R.,
[287]
Schittko, C.,
[885]
Schizas, C. N.,
[349]
Schlosser, Steve G.,
[2293]
Schmid, P.,
[89]
Schmidt, M.,
[1964, 1050]
Schneider, Martin,
[2069, 1783]
Schnier, T.,
[1214]
Schoenauer, Marc,
[2089, 1615,
1648, 44, 1143]
Schoenaur, Marc,
[2121]
Schöffel, U.,
[1796]
Schrader, A.,
[967]
Schroder, H.,
[1050]
Schüffny, René,
[1828, 1832]
Schulenburg, N.,
[1886]
Schuler, Julien,
[442]
Schulze, J.,
[913]
Schulze, Mike,
[2326]
Schulze-Kremer, Steffen,
[354, 355,
Sato, Tomomasa,
[2227]
Sambridge, Malcolm S., [2076]
Sato, T.,
[1721]
Schwehm, Markus,
[1245]
Samir, Mahfoud W.,
[220]
Sato, Yuji,
[1286]
Schwingshaki, G.,
[2278]
Sampan, S.,
[60]
Satyanarayana, J. H.,
[1715]
Sciuto, Donatella,
[639]
Saudagar, A.,
[1747]
Sebag, Michéle,
[2089]
Saul, Ronald,
[1334]
Sebald, A. V.,
[2200]
Savage, Matthew J. W., [1830]
Secomandi, N.,
[174]
Sawai, H.,
See, Chong-Meng Samson,
Sanchez,
Carmen
Garcia-Alegre,
[2049]
Sanchez, Eduardo,
[459]
Sánchez-Pérez, J. V.,
[29]
Sanctuary, Bryan C.,
[2019]
Sander, Hanno,
[2374]
Sawaragi, Tetsuo,
[1926]
Sanders, Jeffrey S.,
[2331]
Sawaragi, T.,
[1854, 1374]
Sanderson, Arthur C.,
[697, 2291]
Sayers, T. M.,
[1995]
Sandham, W. A.,
[543]
Sayers, Tessa,
[2016]
Sandnes, Frode E.,
[1960]
Scalerandi, M.,
[2084, 47]
Sang, Kim Chong,
[1258]
Schaeffer, J. David,
Sankaranarayanan, V.,
[1364]
Sankaranasayanan, V.,
Sankur, B.,
[710, 968,
356, 357]
[1520]
1164]
Seetharaman, Guna S., [2221, 1246]
Séguier, Renaud,
[568, 577]
Seijas, Juan,
[705, 790]
Seixas, Flávio Luz,
[651]
Sekanina, Lukáš,
[1573]
Seki, H.,
[184]
[495]
Seki, Syunichi,
[21]
Schäfer, J.,
[762]
Sekiya, Masaru,
[153]
[2245, 1354]
Schaffer, J. David,
[1475, 1795]
Selige, Thomas,
[210, 244]
[812]
Schäftner, Christoph,
[1245]
Semertzidis, Michael T., [358]
Authors
45
Sen, M.,
[2388]
Shen, Jianjun,
[2332]
Shyu, Han-Chiang,
[1124]
Sen, P.,
[2383]
Shen, Lansun,
[412]
Shyu, Ming-Suen,
[758, 1077]
Sen, Sandip,
[186, 248, 352]
Shen, Ming-Yu,
[171]
Si, A.,
[823]
Sen, S.,
[175]
Shen, Sylvia S.,
[1954]
Siarry, Patrick,
[665]
[17]
Sendhoff, Bernhard,
[1967]
Shen, Tingzhi,
[503, 520]
Siderius, M.,
Seo, Wonchan,
[706]
Shen, X.-H.,
[595]
Sidla, Oliver,
[2263, 2269]
Seongwon, Cho,
[1258]
Shen, Zhenkang,
[2332]
Sidorowich, John J.,
[1129]
Sepehri, N.,
[2099, 2195]
Sheng, J.,
[2387, 1063]
Siedlecki, W.,
[1247, 1476]
Ser, P. K.,
[404]
Shenton, Martha,
[371]
Sigurdsson, H. S.,
[226]
Ser, W.,
[92]
Sherrah, Jamie R.,
[238, 275]
Sigut, J.,
[131, 158]
Serbanescu, A.,
[1709]
Sheta, A. F.,
[2169]
Sikdar, Biplab K.,
[1312]
[183]
Sergienko, Julia V.,
[1742]
Sheth, Beerud,
[1784]
Sikora, Riyaz,
Servet, I.,
[2330, 2336]
Shi, C. Y.,
[240]
Silva, Adelino R. Ferreira da,
Sethares, William A.,
[1501, 2189]
Shi, Zhixin,
[102]
Silva, Luciano,
Setnes, Magne,
[97]
Shieh, Leang S.,
[1551]
Setnes, M.,
[1267]
Shimada, Hirokatsu,
[971]
Sevenster, A. A.,
[2384]
Shimizu, Atsushi,
[411]
Sexton, R. S.,
[137]
Shimizu, Masahiko,
[2008]
Sgard, Franck C.,
[18]
Shimojima, Koji,
[2340]
Shaaban, Khaled M.,
[1145]
Shimojima, K.,
[984]
Shackleton, Mark A.,
[1135]
Shin, Chulkyu,
[1998, 2006]
Shacklock, Andrew P.,
[2318, 2324]
Shin, Hyundoo,
[2113]
Shadaydeh, M.,
[1513]
Shin, Seong-Hyo,
[308]
Shaffer, James D.,
[109]
Shin, Taehwan,
[1314]
Shaffer, Ronald E.,
[1682, 269]
Shine, J. A.,
[199, 230]
[1801]
[2212, 573,
578, 579, 594, 612, 617, 376]
Silva, Ricardo,
[110]
Sim, H. C.,
[875, 926,
1375]
Sim, Kwee Bo,
[1430]
Simon, Dan,
[1855, 1635]
Simons, D. G.,
[64, 70]
Simons, Dick G.,
[74]
Simpson, Angus R.,
[2078]
Simpson, Marc T.,
[52, 55]
Sims, S. Richard F.,
[1243]
Singh, Montek,
[1391]
Singh, R.,
[1927]
Shamir, Joseph,
[1469, 1785]
Shinohara, K.,
[793]
Shamsipur, Mojtaba,
[152]
Shinohara, Yasunori,
[859]
Shanahan, J. G.,
[1037]
Shinozawa, Y.,
[1449]
Sinozaki, T.,
[1158]
Shang, Yi,
[1751]
Shiokawa, Shizuo,
[1914]
Sipper, Moshe,
[459, 114]
Shao, Xue-Guang,
[1163]
Shioyama, T.,
[791]
Sireteanu, T.,
[2084]
Shaopeng, Ma,
[564]
Shiozawa, M.,
[1885]
Şirin, İzzet,
[359]
Sharatchandra, M. C.,
[2388]
Shirai, K.,
[1297]
Siu, W. C.,
[404]
Sharma, Meeta,
[2395]
Shirakawa, H.,
[882]
Siu, Wanchi,
[432]
Sharma, Sanjay,
[2339]
Shirakawa, Kazuo,
[2008]
Siu, Wan-Chi,
[500]
Shiraki, H.,
[841]
Sizmann, R.,
[1601, 1796]
Shiraki, Juichi,
[1175]
Sklansky, Jack,
[1350, 1371]
Shmerko, V.,
[763]
Sklansky, J.,
[1247, 1476]
Sharman, K. C.,
[2111, 2131,
85]
Sharman, Ken C.,
[1884, 1940,
2077]
Singher, Liviu,
[1576, 1703,
1716, 1744, 1744]
Sharman, K.,
[1718]
Shmulevich, Ilya,
[1313]
Skogstad, Ståle Andreas, [1835]
Sharov, A. M.,
[2048]
Shoaei, O.,
[1831]
Skolnick, Michael M.,
[1248]
Sharpe, P.,
[270]
Shoji, K.,
[1047]
Slate, D. J.,
[1459]
Shaw, Michael J.,
[183]
Shukla, K. K.,
[1261]
Sluzek, A.,
[808]
Sheehan, Kevin,
[1547]
Shuo, Chen,
[1325]
Small, Gary W.,
[1682, 269]
46
Smillie, Matthew B.,
Sonka, Milan,
[1446]
[764, 1241,
Sternieri, A.,
[310]
Stevens, M. R.,
[448]
1242]
Smith, Brandye M.,
Smith, C.,
Smith, D. H.,
Smith, Jacob A.,
Smith, Jeff,
Smith, Jim,
Smith, K. B.,
Smith, Matthew G.,
Smith, Robert Elliot,
Smith, Robert E.,
Smith, S.,
Smith, Stephen L.,
Smith, T.,
Snaith, M. A.,
Snellen, Mirjam,
Snellen, M.,
Snoad, Nigel,
Snyers, Dominique,
[1262]
Soodamani, R.,
[1420]
Soraghan, J. J.,
[1643]
Sorbello, F.,
[614]
Sossa-Azuela, J. H.,
[1084]
Sotani, T.,
[295]
South, M.,
[2130]
Sparrow, C. A.,
[309]
Spasic, Z. A.,
[1881]
Spence, W. D.,
[543]
Spittle, M. C.,
[1674]
Spittle, Mark C.,
[2065]
Squillero, Giovanni,
[1818]
Srikaew, Arthit,
[1500]
Srikanth, R.,
[215]
Srinastava, A. K.,
[1261]
Srinivas, R. V. N.,
[581]
Srinivas, S. P.,
[739]
Stiteler IV, William M., [473]
[1702]
[1875]
[1594]
[2067]
[2224]
[12]
[144]
[2190]
[1456]
[1127]
[170]
[1281]
[1528]
[74]
[64, 70]
[760]
[360]
Sriranganathan, S.,
[1649, 1685,
Stitzel, Shannon S.,
[1292]
Stober, K.,
[2009]
Stoddart, A. J.,
[1351]
Stoica, Peter,
[1525]
Stolpmann, A.,
[1094]
Storc, Lisa,
[2221]
Stork, Christof,
[1849]
Stork, David G.,
[115, 125]
Stramaglia, S.,
[310]
Stroud, Philip D.,
[1560]
Stubberud, P.,
[1595]
Su, Fong-Chin,
[1304]
Su, Lin,
[622]
Subacius, Vytautas,
[1189, 1190]
Subramani, R.,
[2383]
Suckley, D.,
[1797]
Suen, C. Y.,
[1293, 1294,
Snyers, D.,
[792]
So, M. F.,
[1074]
Srivastava, S. K.,
[1261]
Suezaki, T.,
[441, 2305]
Soak, Sang M.,
[1314]
Sriwardhana, C.,
[111]
Sugahara, Kazunori,
[615]
Stab, Helmut,
[2000]
Sobrino, Dolores del Castillo,
1684, 1717]
[2049]
1319]
Suganami, Y.,
[2034]
Sohn, Kwanghoon,
[1071]
Stadnyk, Irene,
[1477]
Suganami, Yusuke,
[1165]
Solaiman, Basel,
[538]
Stanhope, Stephen A.,
[939]
Suganthan, P. N.,
[1277]
Solano, J.,
[1865]
Stanley, Donald A.,
[2107]
Sugawara, Ken,
[118]
Soliday, Stephen,
[1301]
Sta̧por, Katarzyna,
[610]
Sugimura, Tatsuo,
[428]
Solka, Jeffrey L.,
[883, 1014]
Stark, Henry,
[364]
Sun, C.-T.,
[2087]
Sollo, A.,
[46]
Stathakis, Demetris,
[162]
Sun, Fang,
[1410]
Solomonidis, S. E.,
[543]
Stauffer, André,
[2369]
Sun, Jizhou,
[2215]
Soltani, S.,
[2032, 2041]
Stearns, S. D.,
[1777]
Sun, L. X.,
[303]
Soltanian-Zadeh, Hamid, [431, 492]
Steele, Nigel C.,
[1630]
Sun, Lixin,
[302]
Soltys, James R.,
[245]
Steenstrup, Martha,
[707]
Sun, S. H.,
[1166]
Soman, Sethuram,
[657]
Stefanescu, A.,
[1709]
Sun, Shaojian,
[353]
Someno, Toshihiro,
[1553]
Stefano, Claudio De,
[1429, 1451]
Sun, Sheng-He,
[1566]
Someno, Yoshihiro,
[1571]
Stentiford, F. W. M.,
[1478]
Sun, Yaoru,
[2115]
Somerset, W. P.,
[1737]
Stephanie, Dogimont,
[1045]
Sun, Y.,
[421]
Sonehara, Noboru,
[1036, 2036]
Stephens, N. M.,
[1843]
Sun, Yung-Nien,
[1156]
Song, H.-J.,
[595]
Stephens, N.,
[2055]
Sun, Zengqi,
[590]
Song, Jongkwan,
[1508]
Steponski, T.,
[77]
Sundaralingam, S.,
[1718]
Song, Ran,
[644]
Sterian, A.,
[42]
Sung, Hongki,
[2001]
Song, Won-Kyung,
[893]
Stern, D.,
[2330, 2336]
Surkan, Alvin J.,
[556]
Authors
47
Suthaharan, Shan,
[1008]
Takatsu, K.,
Suthaharan, S.,
[1719]
Takeda, F.,
[710]
[1348, 1382,
Tang, Chen,
[582]
Tang, Jinhui,
[626]
1046, 1105]
Sutter, J.,
Tang, K. S.,
[1407]
Takeda, Fumiaki,
Suzuki, A.,
[1397]
Suzuki, Keiji,
[1619, 2375]
Takeda, K.,
Suzuki, T.,
[53]
Takegawa, Naoki,
Suzuki, Y.,
[899, 1726]
[711, 1337,
1342, 1369, 1093]
[2367]
Sveinsson, J. R.,
[226]
Sverdlik, W.,
[708]
Swart, Pieter L.,
[1544]
Swets, Daniel L.,
[765]
Swigger, K. M.,
Symosek, Peter F.,
Sys, V.,
Szirányi, Tamás,
[1594]
Takei, H.,
[1723]
Tani, N.,
[1374]
Takusagawa, Teruhiko,
[2340]
Taniguchi, M.,
[1805]
Takusagawa, T.,
[984]
Tanino, Tetsuzo,
Talbi, El-Ghazali,
[1320]
Talbi, Hichem,
[588, 587, 601]
Talhami, Habib,
[741]
Talsma, D.,
[883]
Tamaki, Hisashi,
[1572, 2368]
Tamaoki, Tomokazu,
[1159]
[2098, 1863,
2110, 2126, 2135, 2079]
[469]
[101, 467,
Tao, Chao,
[637]
Tao, L.,
[1134]
Tao, Wen-Bing,
[571]
Tao, Yongyi,
[429]
Taraglio, S.,
[2328]
Tarantino, E.,
[141]
Tamburino, Louis A.,
[1584, 644]
[726, 1479,
[1327, 1600,
181, 205, 1360, 1687, 1471, 1231,
1794, 1232, 1472, 1473]
Tamura, Hiroyuki,
[1274]
Tarasiuk, J.,
[764,
[897, 932,
Tajima, Kenichi,
[1012]
Takagi, Hideyuki,
[423]
Takagi, H.,
[1899]
[2255]
Tarng, Y. S.,
[1931]
Taroudakis, M. I.,
[43]
[45]
Tan, B. T. G.,
[1904]
Tan, K. C.,
[2111, 2145]
Tan, K.-C.,
[92]
Tan, Ou,
[304]
Tascini, Guido,
[2268]
Tan, Tan-Hsu,
[1817]
Tasdizen, T.,
[397]
Tan, Ying,
[1816]
Tasic, J. F.,
[1650]
Tanahashi, H.,
[767, 1011]
Tasic, J.,
[2051]
Tanaka, H. T.,
[842]
Tasselli, J.,
[2014]
Tastl, I.,
[1003]
Tateda, M.,
[695]
Tarroux, Philippe,
[21]
[1092, 2040]
Tarleton, Norman,
Tan, B. G. T.,
[2359, 1820]
Tai, Shen-Chuan,
[1296]
[2249, 943]
[444]
[1930]
Tardif, Jean-Claude,
Tamura, S.,
[1513]
Tagliarini, Gene,
[1161]
Takahashi, M.,
[1415]
Takahashi, S.,
[996, 1052]
Tanaka, Hidetoshi,
[1370]
Takaku, J.,
[793]
Tanaka, Júlia Sawaki,
[135]
Tanaka, Kiyoshi,
[428, 553, 585]
Tcholakian, Aran B.,
Tanaka, K.,
[1069]
Teller, Astro,
Tanaka, Hideo,
[672, 731,
1080]
Takahashi, K.,
[176, 188,
191, 198, 234, 236, 342]
Taylor, C. J.,
[1367, 1987,
[998, 1081,
1106]
937, 944]
1241, 1242, 1250]
Takara, T.,
[804, 384]
Tanskanen, Jarno M. A., [1548, 1762]
[1864]
Tadikonda, Satish Kumar,
Tagawa, Kiyoharu,
[979, 1065]
[476]
Tamura, Shinichi,
Tafazolli, Rahim,
Tang, Y. Y.,
Takehisa, Yasuo,
1249]
Tadokoro, Yoshihisa,
[1985]
Tang, Yan U.,
[2255]
Tackett, Walter Alden,
Tadokoro, T.,
Tang, K.S.,
Tannenbaum, A. R.,
133, 139, 1154]
Szymanski, John,
[1743]
[1043, 1433,
[1470]
Szymanski, John J.,
Tang, Kit-sang,
[2286]
1260]
Suzuki, Yuji,
[1300, 1494,
1504, 1697, 1970, 1418]
[752, 985,
394, 2282, 407]
[2149]
1404]
Takashibu, Midori,
[903, 1031,
Tanaka, Masaharu,
1035]
Takashibu, M.,
[785, 802,
803, 864, 938, 1021, 1030, 1034]
[1343, 1347,
1932]
[1157]
Tempesti, Gianluca,
[2369]
Teng, Wei-Chih,
[630]
Tanaka, Masahiro,
[2098, 1863,
2110, 2126, 2135, 2079]
Takashima, N.,
[1889]
Tanaka, Masamoto,
[83]
Tengan, T.,
[902]
Takashima, Y.,
[1155]
Tanaka, M.,
[1076]
Tennant, A.,
[1857]
Takata, H.,
[2143, 2166]
Tang, C. K. K.,
[1787]
Terada, Kengo,
[711, 1337]
48
Teramati, Y.,
[1009]
Toker, G.,
[1618]
Tseng, Ming-Hseng,
[171]
Terauchi, A.,
[1155]
Toliyat, H. A.,
[1636]
Tso, B. C. K.,
[1113]
Teredesai, A.,
[102]
Toma, Cristian E.,
[713]
Tsui, H. T.,
[898]
Terzopoulos, Demetri,
[371]
Tomikawa, T.,
[809]
Tsui, Hung Tat,
[2210, 583]
Tomita, S.,
[776, 258]
Tsuji, Teruo,
[1989]
Tomlinson, G. R.,
[200]
Tsuji, T.,
Tomppo, Erkki,
[154]
Tong, David W.,
[1466, 1467]
Toonstra, J.,
[216]
Tettamanzi, A. G. B.,
[813]
Tettamanzi, Andrea G. B.,
[1557,
1568, 733]
Teunen, Remco,
[1983]
Teunis, M.,
[1745]
Tezuka, Akira,
[755]
Thacker, N. A.,
[1381, 1398]
Thai, Le Hoang,
[1307]
Tham, M. T.,
Topaloglou, Charalampos A.,
[2130]
Thamvichai, Ratchaneekorn,
[1495]
Thathachar, M. A. L.,
[986]
Thedens, Daniel R.,
[712]
Theiler, James P.,
[139, 1154]
Theiler, James,
[101, 467,
133, 1584]
Theocharis, John B.,
[172]
Thiébaut, C.,
[488]
Thiesse, Bernard,
[738]
Thomas, B.,
[2211]
Thomas, P.,
[2261]
Thompson, M.,
[1558]
Thompson, Paul M.,
[527]
Thompson, S. G.,
[928]
Thompson, Wiley E.,
[2327, 2112,
1893, 217]
[2092, 1861,
2103, 2116, 2133, 2153]
[172]
Tsujii, O.,
[954]
Tsukamoto, K.,
[2376]
Tsunashima, N.,
[725, 729, 886]
Tsuneta, Y.,
[258]
Tsuru, Daigo,
[997]
Tsuru, D.,
[920]
Tsutsuguchi, Ken,
[1036, 2036]
Torielli, Alessandro,
[425]
Torrealba, V.,
[1189]
Torresen, Jim,
[436, 1326]
Tote, E.,
[187]
Tourassi, G. D.,
[914]
Toyama, F.,
[1047]
Tu, Chu-Kuei,
[11]
Toyoda, Y.,
[2275]
Tu, Dan,
[2332]
Toyoshima, H.,
[1723]
Tu, James Zhen,
[2292]
Toyota, Toshio,
[40, 1921]
Tufte, G.,
[1536]
Toyota, T.,
[1805]
Tufte, Gunnar,
[1537]
Tran, D.,
[2038]
Tumeo, Antonino,
[639]
Trautmann, S.,
[58]
Turcano, C. O.,
[887]
Trave-Massuyes, L.,
[2330, 2336]
Turcotte, Marcel,
[273]
Trenkle, John M.,
[2293]
Turgun, Altan,
[30]
Treugut, Hendrik,
[525]
Treugut, H.,
[89]
Turksen, I. B.,
[219, 285]
Tropsha, Alexander,
[317]
Turner, S. J.,
[2037]
[207]
Tsutsui, Shigeyoshi,
Turhan-Sayan, G.,
Tropsha, A.,
[311]
Turney, Peter D.,
[1591]
Truve, Staffan,
[1251, 1252]
Turton, B. C. H.,
Thrift, P. R.,
[1612]
Tsahalis, D. T.,
[54]
Thuc, Nguyen Dinh,
[1307]
Tsahalis, Demos,
[1502]
Tian, Jin-Wen,
[571]
Tsai, C.-Y.,
[586]
Tian, Ying-li,
[898]
Tsai, Du-Yih,
[153, 291, 314]
Tibuleac, Sorin,
[1722, 1760]
Tsang, P. W. M.,
Tiedemann, Ulrich,
Tien, F.-C.,
Tilley, David G.,
Timothy, T. P.,
Todeschini, Roberto,
Toet, Alexander,
Toga, Arthur W.,
[1013]
Tschoke, S.,
[913]
Tse, Kai-Ming,
[500]
Tselioudis, George,
[1000, 1059]
Tseng, Din-Chang,
[1120]
Tseng, L.- Y.,
[987]
[180]
[1097]
[146]
[768]
[527]
368, 2011]
Tyrrell, A.,
[1127]
Tzeng, S. T.,
[1538]
Tzeng, Shian-Tang,
[1740]
Uatrongjit, S.,
[2167]
[475, 796,
894, 901, 930, 1012, 1421, 1102]
Tsao, Tien-Ren,
[586]
[439]
[2236, 794,
888, 929]
Uchikawa, Yoshiki,
[356]
Tseng, Lin Yu,
Tojami, A.,
[1344, 999,
[1933, 2018,
316]
Thomson, R.,
1028, 1403, 393]
[1017, 2338,
2344]
Uchikawa, Y.,
[795]
Udalov, A. V.,
[2047]
Uddin, Mosleh,
[442]
Udpa, L.,
[1747]
Ueno, Isoo,
[1914]
Uesaka, Kazuyoshi,
[1488]
Uesaka, K.,
[1556]
[1273, 504,
Authors
49
Ugur, A.,
[1340]
Varga, M. J.,
[1041]
Visa, Ari,
[1838]
Uhl, Andreas,
[169]
Varol, Yaakov,
[530]
Vitabile, S.,
[614]
Uhr, L.,
[1480]
Varshney, Pramod K.,
[491]
Vitale, Joseph N.,
[1000, 1059]
[410, 1289]
Uhrig, Robert E.,
[1848, 253]
Vasilakos, Athanassios, [162]
Vitrià, Jordi,
Uichida, H.,
[1161]
Vasilakos, A.,
[2389]
Vitulano, D.,
[891]
Um, J. U.,
[980]
Vasquez, C.,
[1189]
Vitulano, S.,
[891]
Umemura, J.,
[1854]
Vasquez, Ramon E.,
[521]
Vivanco, Rodrigo A.,
[98]
Umemura, Jun,
[1926]
Vavak, Frantisek,
[2105]
Vivanco, Rodrigo,
[100]
Uncini, A.,
[1607, 1672]
Veach, Marshall S.,
[769, 889]
Vivo, Luciano de,
[46]
Uncini, Aurelio,
[1655, 1689]
Undrill, Peter E.,
[2234, 385,
912, 1511, 1710, 1724, 390, 392]
Unger, Ron,
Uosaki, K.,
Vécsei, Andreas,
[169]
Veenman, C. J.,
[416]
Vega, Armando,
[521]
Véhel, Jacques Lévy,
[1862]
[1424]
[2123]
Vellasco, Marley Maria Be,
Usami, K.,
Usinskas, Andrius,
Uthmann, Thomas,
Utsugi, A.,
Veloso, Manuela,
[1343, 1347]
Velthuizen, R. P.,
[890, 1147]
Velthuizen, Robert P.,
[869]
Vemuri, Baba C.,
[405]
Venere, Marcelo,
[1489]
[1244]
[714]
[642]
[2295]
[1526]
Venkatachalam, Anand, [1495]
Vachtsevanos, George J., [2137]
Vachtsevanos, George,
Verbeke, Lieven P. C.,
[167]
Vere, Steven A.,
[208]
Vernon, D.,
[2261]
[1824]
Vafaie, Haleh,
[213, 847,
1357, 1378, 1054, 1199]
[1934]
Voelz, Lawrence D.,
[1328]
Vogt, Robert C.,
[2293]
Voicu, L. I.,
[988]
Voicu, Liviu I.,
[442]
von Seelen, Werner,
[2309]
Voss, Heiko,
[1967]
Voss, Mark S.,
[2085]
Vossler, C.,
[1480]
Vukobratovic, Miomir,
[292]
Vukovich, George,
[2150]
[1764]
Urnau Gotardo, Paulo Fabiano, [594]
Usami, Kiyotada,
Vleuten, René J. van der,
Vuori, Jarkko,
[2100, 1625,
2003]
Waagen, Don E.,
[190, 209]
Waagen, Don,
[1858, 1222]
Wada, M.,
[1526]
Vaidehi, V.,
[1749]
Verona, F. Bini,
[1936, 242]
Vaisman, I. I.,
[311]
Verschoren, Alain,
[1355]
Valafar, Faramarz,
[1310]
Vertan, C. I.,
[953]
Wager, Tor D.,
[373]
Valanju, Prashant,
[2358]
Vertan, C.,
[953]
Wagner, I. A.,
[1436]
Valdivieso, M. C.,
[640]
Vesecky, John F.,
Wagner, M.,
[2038]
Wagner, T.,
[885]
Wah, Benjamin W.,
[1751]
Wahab, A. A.,
[348]
Wahdan, A. M.,
[1580]
Wakami, N.,
[773]
[771, 814,
Wade, G.,
[1602, 380,
1628, 1798, 1799]
228, 910, 249, 939]
Valenti, Cesare,
[135]
Vesin, J.-M.,
[1915]
Vetrano, G.,
[614]
Viana, Raquel,
[1148]
Viau, Alain,
[597]
Vicente, J.,
[1282]
Wakefield, G. H.,
[42]
Vidal, Rafael,
[552]
Wakefield, Gregory H.,
[1833]
Viero, Tomi J.,
[709]
Walker, David T.,
[939]
Viikki, K.,
[325]
Walker, Ross F.,
[1321]
Vilarino, D. L.,
[424]
Walker, V. A.,
[1999]
Valenzuela, Christine L., [2350]
Välisuo, Petri,
Valli, G.,
Vandenhouten, Ralf,
[1550]
[1253]
[1098]
VanLandingham, H. F., [60]
VanLandingham, Hugh F.,
Van Coillie, Frieke M. B.,
[2124]
[167]
van den Broek, Wilhelmus H. A. M.,
[281]
van den Honert, Chris,
[1833]
Villar, Pedro,
[112]
Wallace, Charles E.,
[2063]
Van Hove, Hugo,
[881]
Vincente-Garcia, Raul,
[628]
Wallaschek, J.,
[27]
Vannel, Fabien,
[2369]
Vinci, C.,
[1621]
Wallet, Bradley C.,
[1014]
Varadan, Vinay,
[1821]
Vine, Daniel S. G.,
[1925]
Wallrafen, J.,
[239]
50
Walt, D. R.,
[1407]
Ware, J. A.,
[259]
Whitley, Darrell L.,
[1849]
Walter, Thomas,
[1245]
Warsi, N.,
[215]
Wicks, A.,
[2068]
Wamlook, Rustom,
[217]
Warstat, M.,
[2069]
Wierzbanowski, K.,
[998, 1081,
1106]
Wan, Frank Lup Ki,
[2099, 2183,
Warwick, Kevin,
[2188]
Wasil, Edward,
[149]
Watanabe, S.,
[710]
Watanabe, Toshinori,
[118]
Watanabe, T.,
[1899]
Watkins, A.,
[150]
Williams, Guy Barnett, [518]
Weber, Jos H.,
[1934]
Willis, M. J.,
[2130]
Willis, Mark J.,
[2139]
Wilson, B.,
[1789]
2195]
Wanf, Jie,
Wang, Aimin,
Wang, Bing,
Wang, Binquan,
Wang, Bor-Tsuen,
[1539]
[412]
[950]
[995]
[37]
Wang, David L.,
[1604]
Wang, Dayou,
[1380]
Wang, De-Yu,
[1817]
Wang, Fangju,
[719]
Wang, Fang,
[2115]
Wechsler, Harry,
Wang, F.,
[1732]
Wang, Han,
[599]
Wang, Hou-Jiun,
[417, 2222,
213, 847, 1357, 905, 1378, 1039,
1185, 1186, 1453, 1187, 2283]
[2318, 2324]
Wilcox, Lynn,
[453]
Wiley, Keith,
[1132]
Willett, Peter,
[1345]
Willett, P.,
[2020]
Wechsler, H.,
[2299]
Wilson, M.,
[1266]
Weeks, Arthur R.,
[1463]
Wilson, Richard C.,
[1372, 945]
Wehrens, Ron,
[1468]
Wilson, Stewart W.,
[1474]
Wei, C. J.,
[1897]
Wilson, T. C.,
[1963]
Wei, Datong,
[877]
Wilson, Terry A.,
[892]
Wei, G.,
[1497]
Winkeler, Jay F.,
[1016]
[2080]
[631, 646,
658, 661]
Wijesoma, W. Sardha,
Wang, J. W.,
[2004]
Wei, Ho Kuen,
[808]
Wirbel, L.,
Wang, Jing-Wein,
[299]
Wei, Z. C.,
[1134]
Withayachumnankul, W.,
Wang, Jun,
[1816]
Wei-hai, Zhang,
[331]
Wang, J.,
[2005]
Weilai, Yang,
[1394]
Wang, Lei,
[503, 520]
Weile, Daniel S.,
[1644]
Wang, Lisong,
[184]
Weiqi, Jin,
[1066]
Wang, Lon A.,
[370]
Weistra, J.,
[824]
[598]
Wnek, J.,
[348]
Wolf, Christian,
[939]
Wolfe, William J.,
[2228]
Wolff, H. H.,
[1411, 1435]
Wong, C. C.,
[127]
Wong, Hau-San,
[1056]
Wang, Minghui,
[753]
Weixin, Xie,
[918]
Wang, Ning,
[995]
Weixiong, Cheng,
[2081]
Wang, Rujuan,
[647]
Wellen, Jeremy,
[645]
Wong, K. W.,
[1441]
Wang, Shuangbao,
[498]
Welsh, William J.,
[1135]
Wong, Kwok-Wai,
[500]
Wang, Weiqi,
[836]
Wen, Fushuan,
[1941]
Wong, S.,
[1985]
Wang, Xiaomei,
[1380]
Weng, J.,
[765]
Woo, S.,
[2361]
[200]
[2151]
Wong, K. C.,
[875, 926,
1375]
Wang, Xiao,
[599]
Weng, Zhiqian,
[1551]
Worden, K.,
Wang, Y. F.,
[1280]
Wenzel, D.,
[1947]
Wozniak, L.,
Wang, Yaodong,
[1018, 1401]
Werner, Douglas H.,
[1594]
Wrate, Christopher A., [2151]
Wang, Yong,
[1559]
Werner, James Cunha,
[143, 75]
Wang, You-Chuang,
[1957]
Wesolkowski, Slawomir, [1395]
Wang, Yuan-Kai,
[895, 931,
Westerlin, V.,
[72]
Westmore, Dave,
[100, 98]
White, J.,
[1407]
1386, 1396]
Wang, Y.,
Wang, Zhe,
[833]
[1022, 1167]
White, Michael S.,
Wangler, C. T.,
[1620]
Ward, Rabab,
[1291]
[1614, 1624,
2237, 2197, 1781, 1782]
Whitfort, T.,
[262]
Wrba, Friedrich,
[169]
Wren, Bill,
[2255]
Wu, A.,
[1074]
Wu, C. Y.,
[954, 2172]
Wu, Cheng-ke,
[1803]
Wu, Cheng-Ke,
[433]
Wu, Chengke,
[1055]
Wu, Chung-Kun,
[523]
Authors
51
Wu, Huizhong,
[2115]
Yadgari, J.,
[1424]
Yang, J.,
[618, 1414]
Wu, J. L.,
[1128]
Yahagi, T.,
[990, 1075]
Yang, Kwang-Ho,
[1804]
Yahata, Y.,
[2251]
Yang, Linyu,
[2175]
Yamada, Hiromitsu,
[402]
Yang, Shiueng Bien,
Yamada, Hitoshi,
[1356, 972]
Wu, Ja-Ling,
[818, 958,
1038, 401]
Wu, M.-D.,
[2087]
Wu, Ming-Sheng,
[630]
Yamada, H.,
[717, 727,
Wu, Q. H.,
[2102, 1626]
Wu, Wei,
[1015]
Yamada, Takaaki,
[1807]
Wu, Wendy Xihyu,
[113]
Yamada, Yukio,
[755]
Wu, Wen-Lan,
[1304]
Yamada, Y.,
[2123]
1741]
Wu, Xiao-juan,
[2303]
Yamaji, M.,
[532]
Wu, Xiuqing,
[626]
Yamamoto, Hiroyuki,
[191]
Wu, Yanjun,
[645]
Yamamoto, H.,
[743]
Yamamoto, Kazuhiko,
[402]
Yamamoto, Kenji,
[767, 1011]
Wu, Y.,
[1977, 1518,
2028]
Würtz, Diethelm,
[2061, 2062]
Wyrick, Steven,
[317]
Xanthakis, Spiros,
[1502]
Xavier, A. E.,
[296, 297]
Xiang, Mei,
[613]
Xiao, Deyun,
[607]
Xiao, F.,
[1738]
Xiao, Y.,
[1513]
Xiaohui, Zhang,
[1073]
Xiaojun, Zhang,
[1394]
Xibilia, M. G.,
[2108]
Xie, Cun,
[419]
Xie, Nan,
[20]
Xinbo, Gao,
[918]
Xiong, N.,
[134]
Xiong, Shengwu,
[516]
Xu, D. J.,
[1503, 1774]
Xu, Dexiang,
[1605]
Xu, Weixuan,
[775]
Xu, Yong-Ji,
[619]
Xu, Y.,
[1104]
Xuan, Yang,
[900]
Yamamoto, K.,
[1273, 504,
368, 987, 2011]
Yang, T. C.,
[35]
Yang, Tianliang,
[2366]
Yang, X. H.,
[894]
Yang, Xiaoqin,
[474]
Yang, Xin,
[626]
Yang, Xuhua,
[1421]
Yang, X.,
[795]
Yang, Yang,
[61]
Yang, Yee-Hong,
[2312]
Yang, Yongyi,
[364]
Yang, Z. -J.,
[2116]
Yang, Ziaoqin,
[450]
[717, 727,
1741]
Yamamoto, Naohisa,
[176, 188,
Yang, Zi-Jiang,
[2092, 1861,
2103, 2133, 2153, 1989]
198, 342, 343]
Yamamoto, Takahiko,
[615]
Yanming, Zou,
[2023]
Yamamoto, Tetsuya,
[21]
Yano, F.,
[2275]
Yamamoto, T.,
[1384]
Yanushkevich, Svetlana, [763]
Yamane, K.,
[972]
Yamany, Sameh M.,
[2258, 274,
1174]
Yao, Chang,
[636]
Yao, Danya,
[607]
Yao, Jianchao,
[374]
Yamaoka, Takumi,
[1368]
Yao, Leechter,
[1691, 1524]
Yamashita, Katsumi,
[1826]
Yao, Leehter,
Yamauchi, H.,
[532]
Yamazaki, Genji,
[775]
Yamazaki, K.,
[67]
Yan, Haiqing,
[582]
Yan, Hong,
[1393]
Yan, H.,
[786]
Yan, Xiaona,
[995]
Yanaru, T.,
[2092]
Yanch, J. C.,
[400]
Yashkir, Dmytro Y.,
[477]
Yang, C. C.,
[2329]
Yasunaga, Michael,
[1288]
Yang, Dekun,
[1888]
Yasunaga, Moritoshi,
[451, 1326]
Yasunaga, M.,
[1275, 1415]
Yau, Wei-Yun,
[652]
Yazgan, E.,
[313, 332]
Ye, Famao,
[622]
Xufa, Wang,
[1394]
Xuhua, Yang,
[901, 930]
Xuhua, Y.,
[796]
Yang, Hong-Tzer,
[2132]
Yabe, H.,
[1738]
Yang, Hyun Seung,
[825, 909]
Yabuta, T.,
[695]
Yang, Jihoon,
[263]
Yada, Tetsushi,
[1370]
Yang, Jun-an,
[1822, 1827]
Yang, Hanqing Q.,
[1501, 2189,
1780]
[1609, 2058,
2059, 2060]
Yao, S.,
[1897]
Yao, Xin,
[330]
Yao, Yin,
[323]
Yap, Keng,
[1521]
Yap, Kim H.,
[438]
Yap, Kim-Hui,
[535]
Yardim, A.,
[2050]
Yaroslavsky, Leonid P., [856]
Ye, Ju,
[2098, 2110,
2126]
52
ye, Ju,
[2135]
Yoshioka, Michifumi,
[992]
Zhang, Ching,
[719]
Ye, X.,
[640]
Yoshioka, M.,
[2024, 2027]
Zhang, David,
[1167]
Yeager, Dorian,
[2107]
Youan, Ke,
[2023]
Zhang, Gexiang,
[1579, 1586,
1588, 1589]
Yegnanarayana, B.,
[1402]
Young, A. Cody,
[133]
Yeh, Long-Jyi,
[26]
Young, Aaron C.,
[139]
Zhang, Guimin,
[582]
Zhang, Hongying,
[2215]
Zhang, Hui,
[1153]
Yen, J.,
[2175]
Yu, E. S.,
[322]
Yen, Kai,
[1813]
Yu, Fang,
[1163]
Yeun, Jin Seon,
[980]
Yu, Jiangbo,
[636]
Yeung, D. S.,
[1408]
Yu, M.,
[1747]
Zhang, Jianqing,
[502]
Yew, Liam,
[1271]
Yu, Q. F.,
[1265]
Zhang, Jiawan,
[2215]
Yfantis, Angelo,
[530]
Yu, Qingfeng,
[1264, 1278]
Zhang, Jingbo,
[647]
Yilin, Chang,
[2081, 1255]
Yu, Shixin,
[462, 540, 539]
Zhang, Jun,
[2280]
[2342, 1072]
Zhang, Jianping,
[2342, 1072,
337]
Yimin, Cheng,
[1117]
Yu, William W.,
[2267]
Zhang, Lan,
Yin, Lei,
[1539]
Yu, Xinming,
[716, 2284]
Zhang, Lei,
[184]
Yin, Peng-Yeng,
[1445]
Yu, Ying-Lin,
[1022]
Zhang, L.,
[2161]
Yin, Q,
[1483]
Yuan, Xiaocong,
[366]
Zhang, Qi,
[1002]
Yin, Yaozu,
[995]
Yuan, Y.,
[1565, 241]
Zhang, Wen-Xiu,
[1305]
Ying, Li,
[1272]
Yuanliang, Zhang,
[1141]
Zhang, Yan-Ning,
[572]
Yip, Devil H.,
[2267]
Yuanping, Ni,
[1426]
Zhang, Yan-Qing,
[1377]
Yiruo, Yang,
[1394]
Yuen, J.,
[1969]
Zhang, Ying Yuan,
[1900, 1019]
Zhang, Yiqing,
[674, 1254]
Zhang, Yongmian,
[513]
Zhang, Yu,
[637]
Zhang, Z. H.,
[240]
Zhang, Z. L.,
[1166]
Zhang, Zhixiong,
[798]
Zhang, Zhongwei,
[1008, 1114]
Zhang, Zuxun,
[502]
Zhang, Z.,
[1719]
Zhao, Rong-Chun,
[572]
Zhao, Y. G.,
[1125]
Yisong, Dai,
[2021]
Yuen, Shiu Yin,
[465]
Yiwen, Liu,
[2021]
Yuodis, L.,
[1119]
Yixiao, Wang,
[1117]
Yurchenko, Yuri S.,
[1742]
Yli-Harja, Olli P.,
[1313]
Yurtseven, M. K.,
[1991]
Yoda, Ikushi,
[402]
Zacharia, E.,
[638]
Zahabi, A.,
[1831]
Zaitseva, Elena,
[763]
Yoda, I.,
[717, 727,
2252, 1741]
Yokoo, Hironori,
Yokoo, T.,
[444]
Zaki, Mohammed,
[1276, 105]
Zalzala, A. M. S.,
[2230]
Zamparelli, Michele,
[1727, 1996]
Zamzow, Thomas,
[1967]
Zanela, A.,
[2328]
Zavaliagkos, G.,
[1444]
[1392]
Yokota, Takao,
[1885]
Yoneyama, M.,
[1297, 710]
Yong, Wang,
[659]
Yong, Xu,
[2021]
Yoon, Sungsoo,
[121]
Zebulum, Ricardo Salem,
Yoshida, Akito,
[1764]
[2017]
Yoshihara, Ikuo,
[451, 1288]
Yoshihara, I.,
[1275]
Yoshii, Shinichiro,
[2375]
Yoshikawa, Tomohiro,
[1721]
Yoshimori, S.,
[1155]
[91, 1350,
1371]
Zhao, Zhongxu,
[412]
Zhaoqi, Bian,
[867]
Zell, A.,
[1136]
Zheng, Hong,
[160]
Zeng, X. Y.,
[312]
Zheng, H.,
[1255]
Zeng, Xia,
[2256, 1023]
Zheng, Kaiyuan,
[647]
Zeng, X.-Y.,
[1287]
Zheng, W. F.,
[311]
Zeppen, J.,
[1089]
Zheng, Weifan,
[317]
Zerubia, Josiane,
[469]
Zhengwei, Xu,
[822]
Zervakis, M.,
[88]
Zhihang, Zheng,
[821]
Zhang, B. S.,
[1768]
Zhong, Yixin,
[753]
[413]
Yoshida, Toshiya,
Zhao, Yunxin,
Yoshimura, Motohide,
[859, 923,
994, 1027, 1078, 1140, 1172]
Authors
53
Zhongxiu, Gu,
[821]
Zhuang, H.,
[241]
Zhou, Guangya,
[366]
Zhuang, Xianhua,
[91]
Zhou, Xiaozhou,
[2215]
Zhuang, Xinhua,
Zhou, Y. H.,
[240]
Zhu, Daniel Qiang,
[1040]
Zhu, Feng,
[91]
Zhu, Guangxi,
Zmuda, Michael A.,
[1327, 1600,
181, 205, 1687, 1794, 1472]
Zmuda, Michael M.,
[1473]
Zohdy, M. A.,
[1953]
[1350, 1371,
1256]
Zhuang, Zhenquan,
[1822, 1827]
Zongker, Douglas,
[1376]
Zibo, Zhang,
[2114]
Zou, Y. M.,
[2022]
[1101]
Zielinski, Slawomir K.,
[76]
Zuben, F. J. Von,
[321]
Zhu, H.,
[1125]
Ziemeck, P.,
[2335]
Zuffada, Cinzia,
Zhu, M.,
[595]
Zimmerman, David C., [1521, 1527]
Zhu, Yaoting,
[1101]
Zingaretti, Primo,
[2268]
Zhuang, Hualiang,
[652]
Ziomek, W.,
[1283]
[1722, 1728,
1752]
Žun, Iztok,
[1802]
total 2384 articles by 4114 different authors
54
4.7
Subject index
All subject keywords of the papers given by the editor of this bibliography are shown next.
3-D curves,
[1174]
3D vision,
[2297]
A*,
[2283]
accelerators
track detection,
[1413]
acoustics,
[78, 82, 85,
79, 80, 81, 84, 32, 33, 37, 40, 47,
48, 56, 58, 60, 61, 63, 64, 69, 72,
13, 18, 19, 20]
acoustics
bibliography,
[86]
double frequency,
[45]
drum,
[44]
piezo,
piezoelectric,
[41]
harmonic,
[25]
analyzing GA
adaptation,
[93]
adaptive filter design,
[1786]
adaptive filters,
[1631]
neural networks,
[1510]
starting population, [1544]
angiography
[1663, 1665]
fluorescein,
[147]
retinal,
[490]
ant systems,
[1436]
ADC
antennas,
[1846, 1986,
delta-sigma,
[1831]
sigma-delta,
[1595, 1835]
array,
[1857]
aerodynamics,
[2392]
filters,
[1722]
aerospace,
[2401]
agents,
1752, 2362, 1813]
ants
C. niger,
[853, 2390,
371]
[1308]
application
echo cancellation,
[76]
geo-,
[12]
autonomous,
[979]
geotechnics,
[2078]
inverse problems,
[30, 31, 35, 68]
data mining,
[1784]
medical imaging,
[407]
[358]
military,
[1522]
inversion problem,
[39]
inversion problems, [14]
loudspeaker,
[73]
noise,
[52, 53, 55]
noise absorption,
[26]
noise attenuation,
[29]
noise control,
[1502, 41, 46,
51, 54, 62, 71, 75]
protein folding,
fishery,
livestock,
rhizosphere,
aircraft silhouette,
random exitation,
[16]
analysing
seismology,
[66, 23]
[67]
speaker,
[25]
speakers,
[22]
speech,
[50]
tomography,
ultrasound,
underwater,
QGA,
[556]
[1463]
[1579, 1586,
1589]
[2293]
image recovery,
ARMA,
[1935, 1708]
digital,
[537]
movies,
[1583, 1587]
artificial intelligence,
[1279]
[777, 820,
371, 2369]
building blocks,
[418]
classifier,
[329]
crossover,
[1427]
filters,
[1530]
forking,
[2338]
image registration,
[583]
niche,
[220]
[83, 77, 27, 28]
[59, 65, 70,
parallel,
[1390]
wind noise,
[42]
parameter tuning,
[163]
[41, 54, 75]
subpopulations,
[2368]
analysis
[767]
art
artificial life,
[57]
actuators
Arabic,
analysing GA
vibratious,
active noise control,
[1138]
[340]
[43]
74, 11, 17]
aquaculture,
[369]
seed discrimination, [288]
[38]
sound source location,
[655]
archaeology
weed detection,
[34, 15]
medical,
[1138]
agriculture
noise reduction,
sonar,
applications
agricultire
astronomi
signal processing,
astronomy,
[1886]
[1419]
imaging,
[104]
radio,
[512]
astronomy?,
[1362, 1366]
ATR,
[1041]
audio
synthesis,
[1969]
automata
finite state machines,
automation,
[569]
[117]
Subject index
classification,
55
[158]
Baldwin effect,
[322]
BEAGLE,
[1457]
[86]
special,
[2082, 86]
2D,
[1245]
biochemistry
glucose,
[1682]
microarrays,
[1310]
biology
cell,
[1811]
ecology,
[528]
historology,
[135]
soil,
[340]
estimation,
biomorphs,
[2214]
[1463]
biophysics
myoelectric signals, [1909]
blind source separation, [1816]
block truncation coding, [1092]
blood vessels,
[1596]
blue noise arrays,
[2260]
bone
[561]
brain
[513]
[606]
breast,
[914, 315,
431, 492, 131, 1593, 1323, 158]
brest,
[120]
colon,
[169]
diagnosis,
[1323]
lung,
[550]
mammography,
[1146]
[1411, 481,
1578, 563, 574, 361]
skin tumor,
[246]
[339]
boudaries,
[307]
cancer,
[131, 169]
character,
[128]
chromosomes,
[203]
clustering,
[138]
colors,
[182]
cost-sensitive,
[263]
[702]
decision trees,
[149]
[1727]
feature,
[101, 104]
[2217, 663]
forest,
[167]
[291]
cartography,
[945]
CDMA,
[1997, 2359]
[2396]
[638]
cellular automata,
[223, 1699,
2217]
image processing,
cellular GA,
fuzzy,
MRI imaging,
[527]
character recognition,
[1291]
breeding,
[2380]
chemical data,
[1308]
BUGS,
[1209]
chemistry,
[1468]
filters,
[1771, 1772,
classification
Bayesian,
[373]
CAD
[348, 338, 347,
341, 344, 349, 335, 336, 342, 343,
350, 352, 359, 360, 174, 175, 2224,
177, 181, 183, 187, 189, 190, 195,
196, 200, 201, 202, 208, 209, 211,
212, 214, 215, 216, 217, 220, 221,
222, 224, 231, 233, 237, 238, 242,
248, 251, 253, 256, 258, 264, 265,
268, 270, 271, 274, 277, 279, 298,
299, 302, 304, 317, 319, 323, 326,
327, 329, 331, 332, 333, 88, 89, 90,
93, 95, 96, 98, 99, 102, 103, 106,
108, 110, 111, 15, 114, 118, 121,
130, 133, 136, 139, 142, 143, 144,
146, 148, 157, 158, 2216, 94]
Bayes,
chaotic systems
[1773, 1462,
1786, 1787, 1792, 1797, 2059, 2189,
1783, 2291, 1795, 2297, 616]
[676]
classification,
[153]
hemodynamics,
CAD,
chromosomes
[140]
imaging,
cDNA,
[1077]
bankrupty,
[1296]
optical,
[15]
[1435]
echo cardiography,
neural networks,
texture,
variable length,
2D,
melanoma,
[1163, 1266]
chromosome length
88bit,
cancer
cardiology,
biomass
[2315]
cameras
calibration,
chromatography,
chromosome
near-infrared spectra, [1836, 1840]
bladder,
bin-packing
[334]
calibration
stereo vision,
bibliography
acoustics,
surfaces,
system identification,
analytic,
[2108]
[1428]
analytical,
[1452, 1262,
1266, 1280, 1290, 1292, 123, 1308,
1317]
organic,
[152, 156]
1625]
structural,
modeling,
[725]
rendering,
[600, 604, 605]
chemometrics,
surface model,
[648]
chemometry
surface modeling,
[635]
[1465, 264,
389, 1388]
pyrolysis,
[281]
[1428]
[184, 188,
191, 198, 206, 227, 236, 241, 260,
284, 294, 320, 97, 112, 127, 134,
153, 155, 161]
genetic sequences,
[289]
handwritten characters,
[266,
107, 124]
handwritten numerals,
[87]
hyperspectral,
[303]
ice roughness,
[249]
image,
[230, 117]
images,
[228, 244]
inventory,
[197]
k nearest neighbours,
[154]
landcover,
[91]
linear,
[124]
56
linear discriminant, [345]
linguistics,
classifier systems,
[1221, 1459,
1248, 672, 175, 746, 211, 248]
combinations,
[219]
fuzzy,
medical diagnosis,
color
[333]
[170]
color images,
neural networks,
[310, 163]
noise,
[351]
biological data,
nuclear waste,
[309]
character recognition,
object-oriented,
[267]
digits,
pattern,
[295]
fuzzy,
[320]
[762]
[471]
[388, 1393,
540]
patterns,
[194, 235]
plastic,
[281]
protein fold,
[354, 355,
353, 356, 357, 358, 178, 185, 229,
243, 250, 254, 272, 273, 278, 283]
radar target,
[316]
remote sensing,
[337]
rule based,
[141]
nearest neighbor,
[1269]
neural network,
[308]
neural networks,
[652]
parallelepiped,
[613]
piecewise linear,
[1371]
shapes,
[105]
software fault,
[150]
soil samples,
[340]
sparse sets,
[225]
spectra,
[151]
spectrum,
[257]
hierarchical,
speech,
[1494]
image compression, [1112]
statistical,
[311]
k-mean,
storms,
[100]
supervised,
[275]
surfaces,
[334]
text,
[179, 322]
texture,
[160]
classification systems,
[205]
classification?,
[269]
classifier
face image,
clustering,
[1481, 1197,
2224, 1929, 987, 1007, 1402, 1083,
1107, 1270, 1273, 472, 1808, 478,
481, 482, 1289, 522, 557, 1320, 610]
TV,
[2360]
comparison,
[237]
Bayes classifier,
[329]
classical methods,
[1792]
classification,
[201]
classification methods,
[325]
[207]
[1540]
digital filters,
[1707]
edge filters,
[1541]
full search,
[818]
hand-coded classifiers,
c-means,
[1006]
clustering,
[1090]
feature selection,
[1320]
fuzzy,
[890, 948,
1010, 1112]
[1438]
[1160]
[179]
hill-climbing,
[1785]
Hough transform,
[696]
in classification,
[192, 301, 147]
in digital filter design,
[1512]
in feature selection, [1442]
in image registration,
[545, 581]
in machine learning, [196]
in noise control,
co-design
[46]
in protein secondary prediction,
FPGA,
co-evolution,
[1830]
[237, 2314,
575]
[273]
in remote sensing image classification, [162]
[114]
in tomography,
[2094, 1375]
in vector quantisation,
compression,
[495]
Levenberg-Marquartd,
fractal,
[870]
cooperative,
coding,
[1792, 1605,
186, 1901, 60, 1727, 418]
trellis,
[1934]
coevolution,
[2162, 1430,
1123, 416, 93, 2308, 2311, 2213,
1590, 592, 593, 1323, 2216]
cognition
[1326]
commercials
clustering
real,
[117, 123]
[182]
could mask generation,
[218]
wood,
classification,
[360]
scaling,
[232]
colors
clique partitioning,
[164]
tumors,
[1077]
cost-sensitive classification,
satellite images,
[328]
RBG,
[2090]
[252, 285, 286]
tree,
[1077]
cleaning,
rules,
[247]
LHS,
[226]
[186]
tissue,
color system
classsifiers,
rule sets,
time-series patterns, [287]
[936, 1077,
1092]
classifiers,
[2351, 346,
2285, 192, 239, 312, 1439]
[973]
testing,
[2386, 1053]
[832]
[2198,
2199]
linearization,
[755]
machine learning,
[348]
neural network learning,
neural networks,
[2109, 1000,
147, 147]
Newton’s method,
[911]
pairwise comparison, [197]
[373]
protein location,
[1458]
[113]
Subject index
57
recombination schemes,
regression,
[1395]
[911]
simulated annealing,
[407, 1785,
175, 832, 966, 1139, 471, 629]
locomotion,
[1528]
current transients,
manipulator,
[2334]
cytology
modeling,
[2180]
motion,
[170]
statistical methods, [1000]
taboo search,
[925]
tabu search,
[471]
wavelet in image fusion,
comparison: crossover,
[2201]
compression,
[1215, 1222]
fractal,
[786, 1086,
[813]
speech,
[1880]
[2083]
data compression,
robot,
[1033]
sound,
[37, 1889]
2190, 2194, 2195, 2122, 2134, 2149,
2154, 2172, 2174, 2176, 2177, 2086,
2090]
system identification.signal processing /source separation,
[965]
shape modeling,
[878]
[1302, 537,
microarrays,
[1310]
spectroscopy,
[110]
time-series,
[287]
[1885, 2012]
databases
turbulence,
[2367]
vibrations,
[54]
control systems,
computer graphics,
[296]
traffic signals,
computational geometry, [1064, 2271]
[2184, 2192,
2202]
control?,
[2247]
633]
[973]
fractals,
[900]
photorealism,
[616]
photorealistic,
[620]
shading,
[878]
superquadrics,
[916, 1011]
traffic signal,
[1438]
image,
[841, 1087]
deblurring,
[532]
decision making,
[214]
decision support,
[1316]
decision trees,
[2016]
fuzzy,
[2391, 2394]
PID,
[2379]
[1980]
correlation
computer vision,
[2271]
binocular,
[2273]
photorealistic,
[648]
images,
criminology,
binary,
[1440]
fuzzy,
[155]
decisions
classification,
delta-sigma modulation,
[150]
[1512, 1828,
1832, 1834]
delta-sigma modulators, [1831]
[925]
depth estimation,
[2245]
design
crossover
shape,
concurrent engineering, [2381]
[896]
[2370]
2D,
[703]
[2385]
arithmetic,
[1077]
[2183,
341, 2196, 2198, 2400, 2199, 2095,
1876, 1923, 2137, 2140, 1968, 1970,
1985, 2157, 2166, 75, 1808, 1574]
color,
[1391]
cycle,
[1391]
multipoint,
[1077]
breast cancer,
[114]
permutations,
[326]
cancer,
[1434]
PMX,
[1391]
diabetes,
[147, 147]
two-point,
[1796]
failure,
[99]
uniform,
[197]
fault,
[1805]
[788, 805]
fault section,
[1941]
[708]
melanoma,
[1411]
constraint
control,
[207, 1350,
104]
controllers
coodbook design,
[1784]
clustering,
controller
color,
[256, 268,
classification,
database queries,
[2015]
[2067, 1953]
1305, 1838]
[1850]
tunneling microscopy,
[554]
data mining,
traffic signal,
[1163]
curve,
data fusion,
[2348]
vector quantization, [1162]
[218]
tracking,
vector quantisation, [368, 1817]
wavelets,
[131]
process,
[1826]
fuzzy,
imaging,
[54]
[1133]
398, 1141, 422]
[158]
noise,
system identification, [2191, 2193,
codebook generation,
image processing,
data analysis,
[647]
[1988]
satisfaction
problems,
control
adaptive,
[2147]
elevators,
[2304]
fuzzy,
retinal images,
[147]
retinopathy,
[147]
diagnosis,
[1845]
[773, 2150,
2016]
hand,
diabetes
[590]
inverted pendulum, [2220]
cultural algorithms,
image processing,
58
dianostics
mechanical,
electromyogram,
[2095]
differential evolution,
[2261, 1595,
[1998]
structural,
analog,
[1547]
telecommunications, [2359]
circuit design,
[1699]
engineering nano-,
[589]
design,
[1903]
ENZO,
[762]
digital,
[1537]
epilepsy
DSP,
[2013]
FET,
[1920]
filters,
[1572]
[2189,
1844, 52, 54, 55, 1697, 57, 2171,
414, 2311]
electronics
165, 656]
differential GA,
[1182]
digital filters,
[1783, 1795]
design,
[1557]
nonlinear,
[1620]
digital image correlation,
[589]
digital speckle correlation,
[564, 570]
discriminant function,
[2292]
discussion,
[1939]
distribution systems
protection,
dithering,
dithering?,
[1941]
[1091, 1144]
[406]
diversity,
[174, 1492,
149]
DNA,
[1370]
DNA computer,
[61]
DNA sequencer,
[1874]
E-MORPH,
[181]
ECG,
P wave,
ultrasonic,
[2090]
VLSI,
[2026]
electronics testing,
elitism,
[1978, 1727]
emergence,
[93]
EMG,
[349, 2006]
engineering,
[2078]
[32, 36]
aerospace,
[1527, 2189,
1886, 790, 883, 2392, 2164, 1452,
1803, 1549, 554]
electric power,
[2059]
machine,
[1921, 1967]
marine,
[2383]
bankruptry prediction,
bankrupty prediction,
[183, 239]
[140]
[2360]
[183, 1316]
[1048, 1096,
618, 477]
material,
[1388]
materials,
[862, 646]
[551]
edge extraction,
[991]
electrical insulation,
[1947]
electromagnetics,
[1792, 1846,
1857, 1933, 1738, 2397]
antennas,
[2362]
filters,
[1793, 1728]
inverse problems,
[1230]
Kirlian imaging,
[89]
eugenics,
[2317]
[2126]
interactive,
[1839]
Lamarckian,
[2363]
[1194,
2181, 82, 2061, 2062, 2123, 1964,
266, 1709, 1003, 1026, 1050, 1759,
1766, 435, 93, 2307, 2309]
evolution strategies
image processing,
[1217, 1218,
evolution strategy,
[497]
evolutionary programming, [2057, 81,
2200]
evolutionary strateigies, [2026]
evolvable hardware,
[1076]
analog,
[1547]
application,
[436, 451, 459]
digital,
[1537]
digital filters,
[1591]
image processing,
[534, 548]
robot control,
[2220]
experimental design,
[373]
mechanical,
[2198, 2199,
1844, 2099, 1502, 52, 1024, 1516,
414, 485, 2313, 564, 570, 580, 631,
649, 2294, 662]
military,
[883]
expert systems,
[1704, 265,
1730, 325]
petroleum,
[1852]
power,
edge detector,
motion,
1219]
[16]
economics
[190, 1444]
maximum likelihood, [1510, 1518]
evolution strategies,
civil,
[172]
density,
[85, 1768, 399]
[1182]
[2039]
ecology
estimation,
[1824]
evolution
[1845]
[1189, 1190]
edge detection,
[1763]
automobile,
echocardiography,
finance,
tunneling diode,
[276, 2033]
[2053]
commercials,
[2208]
acoustics,
echo cancellation,
remote sensing,
solder paste,
prediction,
[2058, 2286,
2287, 2060, 1609, 2102, 1636, 1483,
1941, 2132, 1947, 2140, 1706, 2151,
1984, 1988, 1732, 309, 1452, 1804,
1283]
exponential fitting,
[1182]
face recognition,
[867]
faces
recognition,
process,
[2179]
facial image
radar,
[415]
3D,
radio,
[1793, 1846,
1847, 1857, 1891, 1920, 1933, 908,
1694, 1722, 1986, 1990, 2002, 1423,
316, 2397, 1272, 1546, 1548, 2362,
1813, 372, 1582, 151, 1841]
solar power,
[1796]
fault detection,
[454]
[1164]
[200, 1671]
fault tolerant computing,
feature analysis,
feature detection
[1591]
[326]
Subject index
face,
59
[1084]
digital,
[1501, 1625,
1641, 1650, 1653, 1503, 1658, 1662,
1682, 1684, 1512, 1755, 1537, 1488,
1550, 1556, 1568, 1495, 1579, 1586,
1589]
feature extraction,
[1234, 1240,
391, 1422, 88, 95, 510]
feature selection,
[1199, 340,
180, 252, 271, 281, 286, 293, 322,
2205, 95, 462, 1290, 1294, 507, 112,
540, 372]
feature selection
handwritten digits,
[1319]
texture,
[521]
features,
classification,
pattern,
[327]
PCAS,
[379]
phase-locked loops,
[1635]
[1574]
edge,
[1541]
power,
electronic,
[1704]
predictive,
[1548]
finite wordlength,
[1602]
RASF,
[1675]
recursive,
FIR,
[1774, 1797,
1771, 1772, 1798, 1799, 1605, 1607,
380, 1628, 1629, 1638, 1640, 1649,
1655, 1661, 1672, 1683, 1509, 1694,
1695, 1697, 1513, 1708, 1714, 1721,
1734, 1514, 1740, 1746, 1519, 1753,
1754, 1762, 1538, 1589, 1591, 1597]
[1274]
[135]
RF,
[1582]
SAW,
[1577, 1585]
sharpening,
[1672]
[1726]
features extraction,
[431, 492]
fuzzy,
[1621]
snake,
FEM,
[28]
Gabor,
[1563]
stack,
acoustics,
[44]
figure copying task,
IIR,
[1780, 1782,
1613, 1614, 1623, 1633, 1637, 1653,
1661, 1666, 1504, 1676, 1680, 1506,
1507, 1700, 1707, 1712, 1723, 1729,
1733, 1739, 1743, 1550, 1561, 1579,
1585, 1586, 1592]
[370]
[170]
infrared,
[1761]
[1583, 1587]
IR,
[1763]
[1756]
Kalman,
films
restoration,
filter,
texture,
linear phase,
morphological,
Volterra,
[1725, 1736,
wave-guide,
[1793, 1542]
waveguide,
[1738]
wavelet,
[1570]
Wiener,
[1719]
matched,
[1596]
filters?,
[1732]
MCLM,
[1675]
finger prints,
[1354, 654]
[1731]
[1583, 1587]
median,
identification,
[385, 386,
fingerprints,
microwave,
[1720]
filter design,
[1777, 1787]
microwaves,
[1546]
filtering,
[1598]
morhological,
[1758]
[1759, 1576]
morphological,
filters,
[1773, 1779,
1768, 1609, 1612, 1673, 1688, 1699,
1705, 1706, 1717, 1766, 1532, 1487,
1544, 1552, 1558, 1565]
filters
2D,
[1613, 1641,
1651, 1658, 1664, 1670]
ACLA,
[1675]
acoustic wave,
[21]
active,
[1636, 1657,
1674, 1696, 1764]
adaptive,
[1790, 1631,
1634, 1645, 1692, 1718, 1537, 1543,
1580]
adptive,
[2245]
1508]
[1534]
adaptive,
[1678, 1691,
1524]
[1668]
filter banks
wavelet,
[1511, 1724,
1745]
1749, 1549, 1567]
Kalman,
[1617, 385,
1710, 390]
fibers
grating,
[1624, 1742,
1751]
[1536]
analog,
[1610, 1630,
1653, 1674, 1690, 1694, 1696, 1547]
[1600, 1794,
1606, 1611, 1616, 1639, 1642, 1643,
1656, 1659, 2252, 1667, 1677, 1679,
1681, 1686, 1687, 387, 1741, 1747,
1755, 402, 1757, 1554, 1575, 1584,
1593]
morphological image processing
/filters, [1711]
[399]
finite state transducers, [569]
FIR
nonminimum phase, [1513, 1514]
FIR filter
linear phase,
FIR filters,
[1737]
[1638, 1734]
2-D,
[1740]
swimming,
[2348]
fish
morphology,
[1735]
multichannel,
[1566]
multilayer,
[1531]
filtered,
[1627]
multiplier-less,
[1622]
interactive,
[1833, 1837]
multiplierless,
[1693, 1698]
noisy,
[1560]
partial,
[934]
neural networks,
[1790]
optical,
[1599, 1601,
1796, 1608, 1618, 1626, 1644, 1703,
1744, 1744, 1748, 1752, 1533, 1545,
1559, 1569, 370, 1578, 1594]
binary,
[1716]
opticsl,
deconvolution,
[1485]
optimization,
[1564]
[1660]
fitness
fitness function
filtered,
[1619]
interactive,
[541]
subjective,
[541]
fitting
60
Mackey-Glass,
FM screening,
[1617]
[1109, 2274]
FMS
vision,
[2333]
traffic signal,
[1995]
genetic programming
fuzzy modeling,
[1420]
classification,
[232, 141]
fuzzy reasoning,
[443, 627]
feature extraction,
[771]
filters,
[1617]
fuzzy rules,
[1957, 127,
138]
food
fuzzy sets,
coffee,
[1237, 1195,
343, 1239, 191, 728, 749, 770]
[1836, 1840]
classification,
forensic
finger prints,
[654]
[2049,
2098, 733, 1636, 2113, 1259,
839, 235, 861, 906, 294, 1090,
2038, 1267, 2086, 114, 131,
1323]
anthrax,
[151]
fuzzy systems
forking GA,
[2344]
formal languages,
[1245]
classification,
[234, 165]
Fourier analysis,
[2058]
classifiers,
[172]
Fourier series,
[1190]
finite state machine, [158]
Fourier transform,
[1155]
information fusion,
[253]
Fouries transform,
[1510]
phase locked loops,
[1855]
FPGA,
design,
[1756, 1597]
Gabor filters,
[2278]
[639]
GALE,
[1096]
evolvable hardware, [1591]
NIOS,
[2220]
optimisation,
[1830]
Xilinx Virtex-II Pro, [1326]
FRA,
[1542]
fractal
fractals,
compression,
edge extraction,
[1862]
free form surfaces,
[1351]
ball capture,
machine learning,
[144]
search,
[148]
signal processing,
[1859, 1910]
system identification, [2091, 2101,
2104, 2119, 2131]
genetic sequence analysis,
GENETICAS,
VHDL,
GENIE,
[590]
geology,
[2384]
geoacoustics,
gas chromatograph,
[1428]
geometric modeling
GATES,
[281]
GENCODER,
[2335]
generations
3D,
geometry,
[970]
polygonal approximation,
[1852]
ice,
[249]
30,
[263]
300-500,
[1796]
50,
[1077]
50-200,
[703]
5000,
[281]
genetic algorithm
fuzzy entropy,
[363]
fuzzy GA,
[1015]
fuzzy inference,
[182]
[314]
[23]
geophysics,
genetic programming,
reasoning,
[110]
[2078]
[176, 262]
[2201, 1849,
2000,
fuzzy classification,
[342, 1848,
[133, 142, 606]
[392]
[1302]
inversion problems, [39, 74, 14]
oceanology,
[17]
seismology,
[32]
water surface waves, [939]
Gnets,
[1253]
grammars
[361]
attribute,
184, 383, 947, 1406]
[1568]
[1727]
genetic algorithms,
fuzzy logic,
[1922]
1000,
[251]
rules,
[289]
genetid programming
GARTNet,
classification,
fuzzy
[2365]
1669]
[1880, 900,
[147]
introns,
GENITOR,
[461]
1978, 1086, 1143, 479]
[690, 814, 843,
1181, 523, 1575, 133, 562, 477]
games
[1842]
IFS,
image analysis,
337,
825,
326,
538,
[569]
image processing,
[188]
fuzzy systems,
forensics
finite state machines,
[1446]
[1902, 1109]
graph matching,
[1457,
2400, 1464, 2192, 2073, 1479, 1249,
1845, 2097, 179, 1335, 1336, 712,
1338, 2239, 193, 1866, 1341, 195,
1873, 2374, 1884, 2247, 221, 222,
223, 225, 228, 1909, 1917, 853, 858,
2129, 238, 2130, 1940, 924, 249,
2139, 1699, 940, 2141, 2142, 256,
257, 1001, 2148, 275, 1983, 1016,
2335, 1033, 2157, 300, 2165, 2167,
2032, 75, 1143, 2041, 2042, 2043,
411, 1268, 1488, 442, 1805, 1556,
125, 128, 140, 1821, 563, 574, 2216,
170, 650, 94, 456, 460, 1572]
[2280, 1372,
945, 1396, 1277]
graphics
faces,
graphs,
[1347]
[1391]
Hamiltonian,
[1436]
isomorphism,
[1396]
matching,
514]
[1349, 408,
Subject index
GRNN,
61
[120]
half-toning,
[1132, 558,
Kalman filter,
[1549, 1560]
stereo,
[2361]
linear,
[1097]
template,
[595]
local gradient,
[1324]
image processing,
local hill climbing,
[1849]
local improvement,
[930]
567, 576]
[1205, 1206,
1208, 1221, 1196, 667, 1185, 1188,
2280, 1216, 1224, 2288, 1231, 1233,
1251, 1182, 1186, 1193, 407, 1213,
1225, 1227, 1794, 2289, 1236, 1529,
1238, 1246, 1248, 1252, 1255, 669,
1183, 1184, 1187, 1195, 337, 1197,
1200, 1201, 1203, 1209, 1211, 1214,
1222, 1228, 1230, 1235, 1241, 1244,
1249, 1254, 671, 675, 676, 681, 682,
1606, 1611, 684, 691, 693, 695, 697,
699, 2227, 705, 707, 709, 711, 713,
2232, 719, 2233, 2234, 721, 722,
190, 727, 728, 730, 731, 738, 742,
1639, 744, 747, 753, 202, 754, 757,
760, 203, 204, 761, 762, 769, 775,
382, 778, 788, 790, 792, 794, 795,
2250, 2251, 2252, 801, 1664, 809,
811, 815, 816, 819, 228, 837, 235,
1677, 853, 856, 857, 882, 886, 892,
896, 904, 906, 907, 912, 914, 918,
922, 928, 1693, 1698, 945, 2254,
950, 954, 955, 1511, 972, 983, 991,
2260, 995, 997, 999, 1004, 1014,
1015, 1018, 1023, 391, 1028, 1033,
1040, 1043, 1048, 1054, 1055, 1057,
1068, 1069, 1088, 1091, 1093, 1096,
1099, 1109, 2274, 399, 1113, 1115,
1122, 1124, 1755, 402, 1129, 1134,
1136, 1145, 1146, 1158, 1163, 1165,
1168, 1175, 1176, 1177, 409, 410,
411, 421, 423, 424, 425, 446, 463,
479, 501, 506, 517, 518, 1563, 526,
530, 551, 627, 655, 662, 437]
halftoning,
[1226, 687,
703, 782, 852, 1091, 1179, 1180,
428, 553, 585]
halftoning
testing,
handwriting,
[2206, 1570]
[849, 1386]
Arabic,
[946]
Chinese,
[961]
local search,
[1210, 366]
machine learning,
[2316]
Markov model,
[1370]
mean field annealing,
neural networks,
[682,
705, 711, 200, 1881, 850, 872, 264,
1405, 1998, 1522, 1530, 1272, 551,
1829, 172]
hardware
evolutionary,
[1573]
evolvable,
[1356, 1127]
Newton-Raphson,
FPGA,
[1584]
quantum computing,
[2161]
Higgs boson,
[1309]
simplex,
hill-climbing,
[2354]
histology,
[957, 274]
[315, 131]
SSDA,
[836]
steepest decent,
[2146]
tabu search,
history
hydraulics,
[552]
HMM,
[1956, 1987,
[2195, 2099]
simulated annealing, [1284]
holograms
hydrodynamics,
computer generated, [90]
[1225, 396]
HVAC,
[1804]
hybrid,
[2136]
fuzzy,
[872]
fuzzy entropy,
[571]
fuzzy model,
[2087]
fuzzy system,
[2038]
Gauss-Newton,
[39]
gradient,
[2380]
gradient based method,
[2366, 2367]
[1212, 842,
1012, 594, 612, 617, 376]
3D imaging,
[1079]
3D matching,
[1064, 494]
3D reconstruction,
[920, 968, 970]
[2238, 729,
898]
2D,
[1623]
IIR filters,
[1778, 1786,
1781, 1788, 1789, 1666, 1550, 1588]
IKONOS,
[167, 172]
image analysis,
[928, 1324]
Markov random field,
[517]
orientation,
[460]
remote sensing,
[160]
image compression,
[624]
fractal,
[2241, 630]
fractals,
[666]
wavelet,
[609]
[749]
[1300]
image correlation,
3D shape estimation,
[725]
analysis,
[948, 460]
astronomical,
[488]
astronomy,
[104]
automatic,
[562]
automation,
[858]
border detector,
[712]
boundary detection, [737]
[2134]
hidden Markov model,
3D,
3D shape,
IIR
Hough transform,
hill-climbing,
image processing
[25]
hydrid
1410]
gradient method,
[738, 1924,
2154, 146]
[774]
Taguchi,
old documents,
[160]
[1786, 2111,
1904, 1673, 2138, 980, 1516, 464]
tissue classification, [247]
histology?,
[919]
[1579,
1822, 572, 1586, 1827, 1588, 1589,
587, 591]
heater,
cancer,
[1071]
camera placement,
[751]
cameras,
[513]
cellular automata,
[702]
chain coding,
[569]
change detection,
[650]
characters,
[735, 791]
[925, 630]
[1346, 2385,
image magnification
408]
ICP,
[2317]
immune systems,
[2321]
fractal,
[1152]
classification,
image matching,
[2291, 1125]
[194, 199, 210,
261, 288, 313, 2278, 369, 129, 133]
62
classifiers,
clouds,
clustering,
face,
[1110]
[715, 766, 974,
1726, 1039, 1052, 401, 1126, 1164,
510, 515]
[1000]
face detection,
[996, 591, 619]
face extraction,
[899, 615]
face recognition,
[417]
faces,
[752, 454]
facial,
[1128]
[736, 1670,
2241, 1092]
coin,
[971]
color,
[785, 803,
973, 981, 1010, 1036, 1161]
color image quantization,
color quantization,
[967]
colour,
[397]
colour space,
[1003]
comparison,
[448]
compressing,
[422]
feature classification,
feature detection,
[1600,
1240, 812, 814, 869, 890, 947, 958,
979, 993, 275, 1089, 404, 1148, 592,
2216]
feature selection,
[1247, 776,
846, 2263, 2269, 1154, 507]
[1215, 677,
686, 733, 786, 813, 820, 832, 978,
388, 986, 1076, 1086, 398, 1112,
1141, 1157, 1162, 1169, 443, 449,
461, 478, 495, 368, 516, 557, 630,
666, 476]
[768]
contrast,
[1178]
convolution,
[756]
[1071]
feature extraction,
compression,
contour matching,
[116]
[1006]
features,
[771, 396]
figure-ground separation,
filtering,
[2256]
[1642, 1672,
386, 1727, 1554]
filters,
[1612,
1613, 1616, 379, 1643, 1651, 1669,
1676, 1679, 1684, 1685, 1687, 387,
390, 1735, 1740, 1741, 1744, 1750,
1757, 1535, 1540, 1566, 1575, 1581,
2213, 1590, 1593, 1573]
correlation,
[1125, 414,
485, 564, 570, 580, 582, 589, 631,
658, 661]
fingerprint,
[614]
fractal,
[1101]
CT,
[1170]
curve,
[965]
curve tracking,
[1072]
fractographs,
[441]
deconvolution,
[897, 962, 535]
fusion,
[647]
devices,
[457]
fuzzy,
[964]
digital image correlation,
distance,
fractals,
870, 900, 1143]
[646]
dithering,
[1144, 1179,
1180, 413, 558, 567, 576, 585]
[406]
donut problem,
[726]
edge detection,
[674,
683, 708, 720, 891, 959, 994, 1085,
1097, 1541, 450, 474, 572, 477]
edge detectors,
enchancement,
enhancement,
[843]
[758, 1001,
half-toning,
[1132, 603]
halftoning,
[1226, 687,
703, 782, 852, 428, 2206, 508, 553,
575, 593, 542]
enhencement,
evolvable hardware, [624]
[1210]
image retrieval,
[541]
imaging,
[607]
infrared,
[755]
interpretation,
[1002]
inverse scattering,
[447]
Iris data,
[188]
JPEG encoder,
[639]
Kirlian photographs, [525]
labelling,
[2259]
Landsat,
[2285, 688]
line drawing,
[1047]
machine vision,
[2253, 1083,
1107, 2208, 649, 2217, 2218, 2294]
magnetic resonance, [712]
magnification,
[1152]
matching,
[824]
measurements,
[1029]
[1189,
1190, 1212, 1229, 1242, 1253, 724,
741, 749, 2240, 764, 827, 877, 917,
924, 1082, 315, 89, 367]
microscopy,
[1102, 475,
model matching,
[1062]
morphological,
[700, 717]
morphological filters,
[590]
motion,
hand writing,
[1142]
motion estimation,
handwriting,
[680, 692,
743, 834, 901, 930, 961]
hardware,
[1604]
[2225, 1013]
[821, 921,
1025, 1032, 1042, 1074, 420, 489,
499]
multi-spectral,
[101, 554]
multiresolution,
[988]
multispectral,
[977, 467]
neural networks,
[798, 1584]
[929, 1127]
high-speed video,
[637]
Hough transform,
[696]
hyperspectral,
[230]
neuron,
[944]
image alignment,
[644]
NMR images,
[1250]
image analysis,
[1181]
noise cancellation,
[1121]
image correlation,
[1118]
noise reduction,
[992]
noise removal,
[953]
[1237, 1239,
[509]
image restoration,
hand gesture,
[1119]
1049, 502, 512]
[1207,
1220, 1202, 1223, 2261, 429, 491,
496, 511, 2210, 533, 544, 545, 2212,
565, 566, 573, 578, 579, 581, 583,
584, 596, 597, 598, 600, 604, 605,
608, 616, 620, 621, 622, 374, 626,
629, 632, 634, 635, 643, 645, 648,
651, 653, 654]
medical,
1077, 1598]
encoding,
[663]
image registration,
475]
[529]
dithering?,
[1245, 694,
[1191, 1192,
595]
image recognition,
[2243, 442,
504]
coding,
image matching,
image enhancement, [418, 487, 524]
Subject index
object alignment,
63
retrieval,
[393]
[841, 1067,
testing,
1087, 1131, 439]
object detection,
[1016]
object recognition,
[1020]
OCR,
[879]
optic flow,
[1256]
optical,
[1647]
optical flow,
[804, 384]
pattern classification,
pattern extraction,
[1174, 408,
514]
pattern recognition,
[1194, 1232,
1243, 701, 718, 1258, 723, 763, 765,
783, 784, 787, 810, 844, 847, 849,
850, 865, 866, 867, 872, 873, 874,
875, 895, 926, 934, 946, 949, 956,
980, 982, 1009, 1037, 1046, 1105,
1135, 1149, 436, 451, 459, 465, 471,
483, 519, 664]
[1019]
perception,
[777]
pixel classification,
[126]
polygonal approximation,
posture identification,
[1156]
[2266]
primitive extraction, [698]
quadtrees,
quantization,
SAR,
[415]
texture,
[1198, 1199,
2229, 770, 772, 859, 998, 1027,
1051, 299, 1745, 1078, 1081, 1094,
1106, 1111, 431, 492, 521, 160]
[1059, 1060,
texture analysis,
[860]
segmantation,
[1498]
segmentation,
[2221, 2290,
2284, 1234, 672, 673, 678, 679, 685,
732, 734, 764, 793, 805, 822, 825,
893, 909, 923, 924, 940, 957, 1007,
1058, 2270, 2272, 1073, 1747, 304,
1080, 1084, 1090, 1098, 1108, 400,
1120, 1137, 1140, 403, 1147, 1153,
1160, 1171, 1172, 412, 416, 1486,
432, 444, 469, 470, 472, 481, 482,
503, 505, 520, 522, 527, 536, 2211,
538, 371, 546, 547, 550, 1578, 556,
561, 563, 571, 574, 599, 602, 606,
610, 611, 613, 164, 165, 636, 642,
377, 656, 453, 464]
[916]
shape,
[714, 835,
840, 878, 935, 985, 1070, 640]
shape analysis,
[905]
shape detection,
[1034]
[381]
shape extraction,
[829, 830,
885, 1686, 911, 975, 1724]
thresholding,
[807]
[845]
[759, 851, 864,
887, 920, 989, 1021, 1024, 1030,
1044, 1053, 1517, 1489, 458, 486]
tracking,
shape matching,
radar,
transformation,
[884]
tutorial,
[480]
tutorial?,
[1065]
ultra sound,
[543]
ultrasound,
[862]
vector quantisation, [1166]
vector quantization,
vector quantizer,
[670]
velocity 3D,
[1063]
video,
[773, 823,
969, 976, 2265, 1026, 1038, 1050,
452, 500, 641, 453]
recognition,
[750]
reconstruction,
[767, 2249,
802, 808, 817, 863, 864, 902,
908, 919, 932, 933, 938, 942,
988, 1031, 1035, 1150, 1155,
1170]
region of interest,
[883]
registration,
[780, 799, 818,
836, 839, 868, 888, 925, 1061, 1116,
1139, 1173, 427, 434, 490, 493, 531,
549, 587, 588, 601, 623, 633, 660]
remote sensing,
[910, 939,
1522, 473, 555, 657]
remote sensins,
[312]
videoMPEG-2 /encoding,
vision,
[2273]
[796, 894]
visual,
[528]
smoothing,
[383]
visualisation,
[498]
snakes,
[706, 568, 577]
VQ,
[484]
sonar,
[96]
watermarking,
[1500]
spectral,
[456]
wavelets,
[846, 430, 609]
word recognition,
[876]
stereo,
[789, 800,
1123, 1130, 435, 440, 586, 1499]
stereo matching,
[704, 880,
image processing?,
[739, 740,
826, 831, 855, 861, 871, 889, 960,
987, 1005, 1095, 445, 455]
952, 419]
stereovision,
[497]
stitching,
[659]
subpixel,
[1151]
image reconstruction,
symmetry,
[838]
image registration,
synthetic,
[537]
target recognition,
[1041]
test images,
[508, 1570]
image quantization
color,
[1006]
[447]
[749, 2261,
617, 623, 644, 2218, 659, 662]
restoration,
[689, 710, 806,
385, 854, 915, 931, 937, 941, 943,
990, 1710, 1008, 1022, 390, 1056,
1066, 1075, 1100, 1114, 1159, 1167,
438, 466, 468, 532, 552, 559, 1583,
1587]
[1045]
signatures,
[716, 1011,
625]
[748, 1104,
1133, 1162, 426]
shape measurement, [984]
[771]
range image,
797,
903,
966,
405,
[963]
[1138, 433,
369]
shape identification, [1017]
[560]
[363]
tomography,
[781, 828,
833, 913]
[282]
textures,
881, 927, 936]
quantum,
[745, 2204]
texture classification,
search,
shape determination,
[746, 2248,
[668]
[539]
shading,
posture recognition, [1103]
projection,
text segmentation,
satellite imaging /superspectral,
[213, 242]
patterns,
[628]
462, 470, 540, 618]
[779]
pattern matching,
review,
satellite,
[2213, 1590,
2219]
3D,
[1212, 700,
1061, 2210, 2212, 566, 573, 578,
579, 583, 584, 600, 604, 605, 608,
616, 620, 625, 375, 635, 376, 648]
64
by hardware,
[2236, 534,
radar,
[1681]
information filtering,
[1784]
infrared imaging,
[1522]
548]
range,
fingerprint,
[429, 614]
multi-focus,
[647]
[2284, 608,
2317]
insects
remote sensing,
[244]
mutual information, [2215]
satellite,
[656]
parallel,
[1116]
sonar,
[839]
stereo,
[586]
stereo,
video,
[641]
wavelet,
[1173]
ants,
[1192, 441,
2361, 514]
image restoration,
[851, 395]
tomography,
[607]
inverse problems,
[1229]
ultrasonic,
[291, 314]
acoustics,
ultrasound,
[538]
fractals,
video,
[818]
imaging skin,
adaptive,
[2290]
immune system
range image,
[2284]
imageprocessing
[563, 574]
immune systems,
[117]
implants
[1552]
imaging
cochlear,
implementation,
3D,
[392, 1079,
[1833, 1837]
[1492]
coding?,
eye,
infrared,
ISAR,
[499]
Ising system,
[1023]
DAP 510,
[928]
JPEG,
[820]
DSP,
[1382]
Kalman filter,
[1749, 1551]
forking,
[2338]
Kalman filtering,
[1654]
knowledge aquisition,
[262]
[1756,
451, 459, 19, 1580, 1581, 615, 1326,
1499, 652, 2220]
hardware,
[2080, 2236,
888, 929, 534, 548]
Java,
[1069]
LabView,
[1876]
microwave,
[908]
MATLAB,
[1622]
Paragon XP/S 10,
[1727]
PVM,
[885]
SIMD,
[928]
subdivision,
[2338]
TinyGA,
[628]
multispectral,
neutron,
[2233]
printing,
[1091]
knowledge discovery,
[263]
Lamarckian GA,
[2375]
land mines,
[1522]
languages
Farsi,
[366]
speckle,
[582]
[73]
learning,
[1205, 347]
LiDAR,
[2214]
Lie groups,
[1013]
[1213, 1236,
1529, 2099]
inductive learning,
[266]
beam forming,
loudspeaker,
transputers,
[1267]
layout design
[937]
NMR,
knowledge based systems,
lasers
374]
[302, 1437,
1148, 533, 133, 1313, 597, 613, 645,
172]
[2084]
[1462]
[1245]
[213, 1120,
[862]
vibration,
Cray Y-MP8/864,
MasPar,
multi-spectral,
ultrasound,
[816]
[475]
[151]
[66]
IR images,
microscopy,
microwaves,
seismology,
[2067]
FPGA,
[2234,
824, 855, 877, 912, 914, 2258, 1004,
392, 394, 291, 1048, 1082, 313, 314,
1435, 2277, 1170, 483, 367, 1296,
371, 1578, 562, 563, 574, 153, 1593,
602, 1596]
[32, 36, 12]
C++,
[1274]
medical,
acoustics,
[231]
[303]
[89]
inversion problems
IOGA,
[1626, 836,
Kirlian,
[23]
[1077]
[1176]
892, 2257, 1522, 442]
inversion
C,
[43]
IR,
[755]
[534, 548]
[1596]
hyperspectral,
[694, 900,
ARM7,
468, 514]
acoustics,
tomography,
seismology,
[49, 68, 18]
1143]
[1246, 874,
[884]
[1531]
interferometry,
[594, 612]
noise removal,
design,
[2257, 1522]
3D,
image transformation,
interference filters
thermal,
[541]
1177]
[1283]
[151]
[2232]
image segmentation,
gas,
T-ray,
image retrieval
content-based,
[1308]
insulators
[2351]
Subject index
65
linquistics
word classifier,
tracking,
[2327, 2331,
2334, 2342, 2348, 2303, 2207, 369]
texture,
[536]
load balancing,
[2105]
trademarks,
[1118]
cancer,
[120]
walking,
[2337]
compression,
[449]
[1931]
CT,
machining,
load forecasting
[2132]
machine learning,
[1455, 1206,
1471, 2185, 1462, 2279, 673, 181,
192, 1877, 214, 2246, 795, 1357,
1360, 240, 248, 1968, 263, 1004,
281, 1405, 308, 1430, 1434, 436,
451, 1290, 535, 1323, 361]
classification,
[213, 251, 147]
features,
[144]
fuzzy,
[271]
[159]
[1458]
pattern recognition, [1327, 410]
robotics,
[1303]
SVM,
[166]
visual concepts,
machine learningi,
[1378]
[1481]
machine vision,
[2353, 2281,
2352, 684, 722, 2238, 729, 2328,
2255, 2329, 952, 2332, 2333, 1029,
2339, 2268, 1138, 2296, 2300, 1289,
2304, 2305, 2307, 2308, 2313, 2295,
2301]
machine vision
3D,
[2340, 2297,
105]
calibration,
inspection,
[2306, 632,
634]
low-level,
[2335]
[2302]
photogrammetry,
[2298]
remote sensing,
[1245]
macromolecules,
[264, 1424]
magnetoencephalography,
[1229]
maintenance
[233, 247,
954, 431, 492, 153]
[158]
[565, 598,
2215, 375]
melanoma,
[361]
MRI,
[527]
microcalcification,
[1082, 483]
neutron,
[932]
[197]
registration,
[490]
management science,
manufacturing
retina,
cold mill,
[1440]
furniture,
[117]
machining,
[2382]
PCB,
[2283]
maps,
[481]
Markov models,
[2038]
MASCOT,
[844]
matching,
[543]
tensile testing,
materials testing,
strain testing,
sonar,
[846]
tomography,
[1035]
tumors,
[232]
ultrasonic,
[917]
ultrasound,
[543, 547]
[632, 634]
MAP,
block,
[147, 1324,
636]
[1038]
[649, 2294]
[414, 485, 631]
[564]
[402]
[85]
[658, 661]
medical signal processing
EEG,
[1325]
medicine,
[2054]
anatomy,
[561]
anesthesia,
[99]
brains,
[749, 764]
cancer,
[877,
247, 1411, 315, 1435, 330, 481, 114,
1578, 156, 361]
cardiology,
[1189, 1190,
1253, 712, 1906, 2380, 276, 2010,
314, 2277, 122]
classification,
[346]
CT,
[640]
cytology,
[606]
diagnosis,
[48]
SLAM,
[2208]
[373]
[330]
[2347, 2317]
structured light,
[169]
fMRI,
diagnosis,
[2214]
[2314]
endoscopy,
image registration,
mammography,
strain,
structural light,
[332]
histology,
[2343]
[2346, 2312,
ECG,
[223]
measurement
2315]
[645]
[2205, 1805]
surface waves,
stereo,
drug discovery,
machine,
maximum likelihood,
[2310, 2318,
2319, 2320, 2321, 2322, 2323, 2324,
2325]
[550]
[40]
mechanics
robotic,
CT scans,
diagnosis,
mathematical morphology,
obstacle detection,
registration,
macro cell layout,
materials
[2341]
[903, 1031,
640]
majority classification,
machine learning
neural networks,
[700, 1061,
546, 2215]
[195]
liver
short term,
brain,
medical imaging,
[1202,
679, 724, 1667, 385, 827, 233, 869,
954, 1511, 274, 2272, 304, 315, 400,
1437, 1146, 1147, 1171, 412, 431,
492, 549]
[207, 265,
314, 325, 111, 143, 147]
ECG,
[2030]
EEG,
[1978]
EMG,
[349]
geriatry,
[111]
medical imaging
hearing,
blood vessels,
[2240, 959]
1839]
[1833, 1837,
66
histology,
SEM,
[88]
[1012, 1102,
0.001,
[263, 1077]
441, 475]
human genetics,
[196]
tunneling,
imaging,
[1212, 1242,
microwaves,
678, 691]
instrumentation,
filters,
[82]
mutations,
[65]
NARMAX,
[2148]
navigation,
[2378, 1295]
[2015]
[1733]
[1748]
GPS,
mammography,
[827, 855,
mining,
mobile robot,
[2318, 2319,
2320, 2321, 2322, 2323, 2324, 2325]
1082, 483]
mobile communications
MEG,
[2377]
[1852]
[1229]
CDMA,
[1548]
robot,
[1289]
neurology,
[252, 286, 304,
2309, 546, 1824, 373, 1325, 1839,
170]
nearest neighbors,
mobile phones
[25]
network division problem,
mobile robots?,
[2253]
neural network,
MobyDigs,
[146]
speakers,
ophthalmology,
[2343, 1139,
147, 610, 1324, 636, 1596]
orthopedy,
[1304]
pre-eclampsia,
[159]
prosthetics,
[543]
radiology,
signal processing,
[824]
[2033, 2035,
model
quantum computing, [588, 601]
modeling
acoustics,
[24]
modulation
1839]
double frequency,
surgery,
[99]
tomography,
[1201]
urology,
[265, 325]
vision,
[2349]
vision impairment,
[1499]
vocal fold,
[637]
[45]
MOGA,
[2016]
molecular graphs,
[389]
morphological filters,
[1741, 1747]
morphological signature transform,
oncology,
messy GA,
[995]
motion estimation,
[1045]
[131]
motion planning,
[2230]
[1062]
MPEG-2,
[1124]
multimedia
meteorogy
storms,
[100]
clouds,
storms,
image retrieval,
[841]
multiprocessor
meteorology
[1000, 1059]
[470]
[1377, 2033]
image processing,
[652]
PCA,
[308]
signal processing,
[217]
wavelet,
[1897]
neural networks,
[1221,
1454, 1466, 1471, 2044, 2349, 1462,
2067, 349, 1195, 1460, 2281, 2352,
707, 1258, 740, 750, 2112, 762, 210,
1893, 819, 1671, 855, 237, 904, 244,
954, 1704, 1395, 1400, 2008, 93,
1287, 2086, 1323, 157, 163]
neural networks
scheduling,
[1868]
multispectral imaging,
[1584]
multiuser detection,
[2359]
music,
[45, 56]
back propagation,
[664]
BP,
[1426]
cellular,
[83]
extensometer,
[662]
drum,
[44]
[728, 2328,
1727, 1282, 367]
classification,
[173, 199,
226, 239, 240, 245, 252, 255, 259,
261, 262, 263, 276, 280, 286, 290,
291, 292, 293, 297, 308, 312, 314,
315, 318, 322, 324, 330, 92, 99, 120,
122, 132, 136, 137, 145, 152, 156,
167, 168]
classificationmachine
learninf
/unsupervised, [305]
control,
elasticity,
[1331]
fuzzy,
classifier,
metrology
[2326]
[202]
morphology transform,
medine
[338]
[1301]
[2401, 2337,
1526, 2042, 2043]
design,
[1009, 310,
424]
particle velocity,
[1029]
microarrays
image processing,
[638]
electronic,
[1904, 1969]
instruments,
[1890]
tones,
[1945, 1945]
wavetables,
[1950]
1665]
[2110]
forecasting,
[1316]
[652]
fault detection,
[1493]
feature extraction,
[88]
filters,
microfuidics
design,
[2370]
mutation,
[261, 1265]
deterministic,
[934]
FPGA,
electronic,
[475]
GP,
[225]
fuzzy,
endoscopy,
[169]
microscopy,
mutation rate
[1646, 1663,
[2137, 946,
964, 321, 1121, 2039, 1535, 1543,
1552, 556]
Subject index
hierarchical,
Hopfield,
67
[438]
[761, 1383,
noise
active control,
metrology,
[564]
microwave,
[1720]
phase unwrapping,
[395]
[51]
photometry,
[1874]
[862]
skin imaging,
[1578]
spatial filters,
[1785]
[1502]
474]
noise control
hybrid,
[2228, 2264,
active,
1304]
image processing,
[1240, 774,
810, 859, 956, 978, 1535]
nondestructive testing,
eddy current,
[950]
in image processing, [915]
novelty filter,
Kohonen,
[1671]
[412]
nuclear waste
learning,
[1481, 378,
classification,
1340, 2004]
monitoring,
[1967]
thin films,
[1618]
tomography,
[851]
[309]
object recognition,
[2244, 2217]
oceanology,
[34]
optimisation
[1337, 743,
1348, 1353, 1354, 1363, 873, 1369,
934, 1382, 1385, 274, 2267, 1409,
1093, 1105, 1446, 1758, 1284, 107,
111, 1298, 124, 2209, 1309]
OCR,
1386]
odor
perceptron,
recognition,
[2124]
recurrent,
[1384]
signal processing,
[1881, 1988,
1989, 1816, 1827, 1828, 1832]
SOM,
structure,
retinal imaging,
[2343]
multiobjective,
[2120, 1398]
Pareto,
optical computing
[2032, 2041]
topology,
[2245]
[1161]
optical design,
[2331]
optical fibers,
[90]
optimizing
sensors,
[1328, 2093,
719, 245, 1379, 1727, 2154, 1261,
547]
traning,
[291]
weights,
neural networks?,
SDF,
optics,
training,
[2380, 16,
2211]
classifiers,
[762]
[1292]
parallel,
optical filters
time series,
[1995, 112]
[2344]
1430, 2173, 1448]
system identification, [2121, 2154]
multi-objective,
multimodal,
[1980, 168,
[1203, 1863,
[1769, 2067,
2078]
[610]
[2309]
172]
[27]
glaucoma,
neural network,
simulation,
multiobjective,
[1407]
ophthalmology
rule extraction.classification /rule
based, [306]
[639]
optimization,
[1308, 1584]
perceptrons,
multi-objective,
[1859, 879,
[1713]
parallel GA,
[1774, 346,
1245, 672, 2099, 2236, 1643, 1503,
794, 807, 1916, 885, 888, 1943, 921,
928, 929, 943, 1381, 1711, 1727,
1398, 1418, 310, 1116, 511, 546,
549, 1581, 1825, 1586, 1589, 2083]
[1469]
design,
[1531]
diffraction,
[364, 366]
ellipsometry,
[362]
extensometer,
[662]
fibers,
[370]
[1339]
[1236, 1529]
parallel GA
analysis,
[1390]
island,
[1391]
island model,
[941]
Maspar,
[1234]
MOGA,
[29]
filters,
[1769, 1770,
1792, 1775, 1615, 1644, 1647, 1648,
1713, 1716, 1760, 1761, 1539, 1545,
1553, 1562]
[1017]
neurology
brain imaging,
[527]
gratings,
[1752]
PVM,
[385]
epilepsy,
[1824]
holograms,
[90]
Transputer,
[1231]
Parkinson’s disease, [170]
holography,
[2387]
workstations,
[483]
sleep,
[252, 286]
imaging,
[721, 518]
[352, 248]
infrared,
[1594]
interference filters,
[1796]
[2296]
IR,
[1182]
parameter tuning,
[1224]
[2380]
IR filter,
[1763]
Pareto,
[27, 29]
[220]
lasers,
[2073, 582]
particle swarm,
[1592]
NEWBOOLE,
news
machine vision,
niche,
methods,
parallel GP,
parameter estimation,
[1400]
[1780, 2079,
2074, 1501, 886]
68
patent,
[1205, 667,
1331, 1257, 180, 1856, 715, 730,
1342, 754, 1879, 766, 1352, 1914,
1368, 971, 1971, 1387, 1979, 1036,
1406, 65, 1040, 1043, 1057, 1093,
1421, 2017, 1433, 1126, 1129, 1135,
2036, 1142, 1146, 1157, 1165, 1260,
1175, 409, 413, 425, 444, 445, 446,
13, 1807, 1809, 1810, 1553, 1555,
106, 495, 501, 518, 1562, 130, 2088]
pattern matching,
[204]
[866, 2334,
525, 627]
pattern recocognition,
[1221]
[1480,
1461, 1457, 1470, 1455, 1474, 1475,
1478, 1477, 1476, 1481, 1454, 1458,
1466, 1467, 1471, 1770, 1216, 1469,
1251, 2292, 1328, 2282, 407, 1462,
1463, 1785, 2293, 1331, 335, 1453,
1199, 340, 1460, 1203, 1464, 1472,
1473, 1479, 1612, 1257, 1335, 697,
2226, 701, 711, 2237, 1339, 1340,
1341, 737, 1342, 202, 1343, 1344,
1348, 1349, 1350, 224, 1351, 1355,
1356, 1357, 1360, 1361, 872, 1365,
1371, 1372, 945, 1377, 949, 1378,
955, 1381, 977, 1383, 1384, 995,
1389, 1391, 1394, 1395, 1396, 1398,
1402, 1405, 1054, 1412, 295, 1413,
1415, 1082, 1418, 1419, 1420, 1425,
1426, 1107, 1428, 1430, 1434, 1437,
1438, 2276, 1439, 1443, 1450, 334,
1452, 410, 1263, 426, 1265, 1267,
1268, 1269, 439, 92, 1272, 1274,
95, 1275, 99, 1278, 465, 1282, 1283,
1287, 1289, 1296, 15, 510, 117,
1301, 1303, 1304, 1305, 530, 1311,
1313, 1323, 1288]
pattern recognition
defects,
[1440]
multi-spectral,
[101]
digit,
[459]
music,
[1314]
digits,
[753]
natural language,
[1400]
DNA,
[1370]
neural networks,
[1447, 1280]
edge,
[1541]
NMR spectrum,
[1468]
EEG,
[1325]
occluded shapes,
[1276, 105]
eye,
[847]
odor,
[1407]
optic disc,
[1324]
optical,
[1545]
paper currency,
[1046, 1105]
face,
[213, 1347,
842, 1358, 867, 976, 1009, 1392,
1039, 1441, 1285, 1297, 2209, 1581,
1326, 664]
faces,
[865]
pattern matching,
[1277]
feature extraction,
[1334, 1089]
posture,
[1103, 1264]
protein fold,
[1465, 1422]
protein sequence,
[1424]
protein sequences,
[2239]
[519]
feature selection,
[1374, 1376,
1427, 1442]
features,
[1330, 1414,
326, 1322]
FFT,
[169]
prototypes,
fingerprint,
[1364, 429]
quantum computing, [1315, 1318]
fingerprints,
[1307]
radar,
[1423]
road sign boards,
[1401]
fuzzy,
[1329, 1380,
1393, 1037]
shape,
[104]
gas sensor,
[1261]
shape detection,
graphs,
[1436]
shape representation,
hand writing,
[1448]
signature,
[1421]
hand written,
[1379]
speaker,
[1387, 1432]
2D,
[1375]
3D,
[1373, 982]
bibliography,
[1482]
bill,
[1093]
handwritten,
cellular automata,
[1312]
handwritten character,
hand-written characters,
1028, 1403]
[1447]
handwriting,
character,
[1459, 1231,
1352, 1406, 1433, 1446, 1449, 1260,
1293, 1299, 128]
characters,
[1332, 718]
chemical,
[1388]
chemical sensor,
[1292]
[828, 999,
galaxies,
[1363, 873,
901, 930, 1386, 1408, 1294]
[1393]
[1451]
handwritten Chinese characters,
[2267]
spectrum,
[1359]
[1302]
[1262, 1266,
1290, 1308, 1317]
speech,
[1367, 1390,
1404, 1410, 1444, 1543, 1298, 1300,
568, 577]
star,
[1366]
star patterns,
[1362]
string matching,
[1416]
handwritten digit,
[471]
texture analysis,
[1321]
handwritten digits,
[1319]
time-series,
[1316]
handwritten numeral,
[1429]
traffic sign,
[904]
human figure,
[641]
tumor,
[1435]
Chinese characters, [1758]
labeling,
[1279]
voice,
[1368, 1286]
circle,
landmark,
[1295]
word,
[1397]
letter,
[1346]
pattern recognition?,
[1336, 1338]
line labelling,
[1399]
Peacock,
[1887]
machine learning,
[1417]
perception
classification,
[1445]
[180, 240,
321, 123]
clouds,
clustering,
[1540]
[1270, 1273,
504]
medical,
[392]
coin,
[1284]
melanoma,
[1411]
perceptrons,
[99]
color,
[1161]
molecular,
[1345]
petrography,
[477]
colour space,
[1003]
Subject index
phase retrieval,
69
halftoning,
[988]
[1226, 687,
optical,
[1318]
quantum dots,
[560]
signal processing,
[1496]
spintronics,
[2356]
subdivision,
[2345]
superconductor,
[2355, 2357]
wavelets,
[1993]
703, 782, 852]
physics
process identification,
acoustics,
[2191]
[36]
protein
applied,
blind dynamics,
electromagnetics,
[2084]
alignment,
[178]
yeast,
[113]
[2366]
[1644]
protein fold
mechanics,
molecular,
[2225]
detection,
[178]
recognition,
[1422]
nuclear,
[1736]
optics,
[1615]
particle,
[1413, 1309]
protein folding,
plasma,
radar,
[1484]
[243, 250,
1424]
[2393, 2398,
[1195, 1846,
1990, 1423, 2397, 1272, 1841]
phase unwrapping,
[395]
SAR,
[372, 437]
ab initio prediction, [229]
target classification, [316]
NMR,
target discrimination,
[1468]
[1986]
2399, 2358]
prediction,
physiology,
vision,
[354, 355,
1465, 353, 356, 357, 185, 254, 273,
278, 283]
[1910]
[637]
piezo
[358]
[2090]
piezoelectricity
subharmonics,
[415]
radio
secondary structure prediction,
transducers,
radar SAR,
[1918, 1139]
secondary structure, [272]
voice,
target identification, [2002]
pollution
[372]
radiotherapy
protein sequences,
[2239]
proteins,
[2019]
apolipoprotein epsilon4,
[2084]
radar,
[111]
classification,
[193, 300, 113]
[1345]
images for,
[824]
Raman spectroscopy,
[1308]
range imaging,
[1498]
reasoning
fuel spills,
[1290]
docking,
oil spills,
[1266]
function estimation, [118]
polymorphism,
[528]
ligands,
[1345]
polyploidy,
[2087]
QSAR,
[317]
signal,
[1811]
plastics,
[1308, 1317]
signals,
[1878]
waste plastic,
[281]
structure,
[311]
[1424]
population
diversity,
[220]
population size
10,
[1727]
threading,
100,
[407, 197, 281]
transmembrane domain,
150,
[1796]
200,
[703]
40,
[2198, 2199]
50,
[2078, 263]
66,
[1077]
water,
[1833, 1837]
perception,
[454]
predator-prey,
[528]
physiological,
[373]
principle component analysis,
[161]
printers
ink jet,
[1179, 1180]
printing
FM screening,
[2239]
[111]
[428]
[1109, 2274]
QSAR,
[454]
registration
[95]
small,
face,
recycling
psychology
biological,
[1434]
recognition
psychiatry
dementia,
case-based,
[317, 152, 156]
retinal image,
regression,
[2343]
[1682, 146]
curve,
[1726]
surface,
[334]
wavelet,
[2031]
regression analysis,
[15]
relaxation labeling,
[1896]
remote sensing,
[337, 2285,
688, 693, 1870, 210, 814, 907, 244,
939, 945, 2269, 310, 312, 1113, 462,
506, 1313, 554]
remote sensing
quadratic programming, [915]
agricultural landscape,
quality control,
[2300]
arctic ice,
[771, 249]
quantum computer,
[2373]
camera placement,
[2298]
classification,
[172]
quantum computing
[657]
70
cloud mask,
[1540]
clouds,
[1059]
forest,
[473, 2214,
imaging,
[948]
frequence modulated, [1109, 2274]
robot
pneumatic,
[2170]
154, 167]
robotics,
hyperspectral,
[303]
image analysis,
[652]
screening
autonomous,
[2230]
[2281, 2352,
1289]
search
A*,
[2222]
SEGA,
[1492]
segmentation,
[1747, 2034,
403, 416, 440, 466]
image classification, [166]
control,
[1325, 2220]
image processing,
gripper control,
[590]
clouds,
[1540]
hydraulic,
[2264]
face,
[500]
manipulators,
[292]
Markov random field,
[618]
image registration,
[1173, 496,
511, 533, 581, 596, 597, 626]
image segmentation, [168]
mobile,
imaging,
[133]
land cover,
[91]
[1528, 2279,
2337, 2310, 2317, 2318, 2319, 2320,
2321, 2322, 2323, 2324, 2325]
movement,
landcover classification,
Landsat MSS,
[213]
leaf area index,
[555]
sensoring,
[671]
servoing,
[1138]
vision,
meteorology,
[470]
moisture,
[318]
multispectral,
[2275]
[171]
[857, 922,
[684, 2227,
722]
radar,
[716, 599]
snakes,
[505]
sound,
[2009]
texture,
[859, 923,
975, 1027]
thresholding,
segmentation?,
[571]
[1035]
[2076, 1849,
12]
autonomous,
[2401]
mobile,
[1295]
sheepdog,
[369]
elite,
[1924]
rough sets,
[303]
manual?,
[1001]
rule based systems,
[184, 214, 268]
sexual,
[2368]
1540, 467, 139, 142]
oceanology,
range image,
seismology,
robots
[1120]
inversion problem,
[66]
selection
[49]
[415]
review,
[162]
riparian zones,
[650]
SAR,
[529]
satellite,
[815, 91]
rule sets,
[186]
ships,
[437]
rule-based systems,
[134]
spectroscopy,
[110]
fuzzy,
[2235, 198,
211, 295, 306, 1522, 161]
SEM,
[475]
sensoers
resonators
RF,
classification,
rules,
[1582]
learning,
restoration,
[1757, 1159]
rules based systems,
retina,
[1139]
SAR
retinal imaging
indocyanine green,
road detection,
[490]
review
[2177]
image processing,
[951]
image registration,
[490]
image segmentation, [642]
[342, 343]
[1214]
[138]
[529]
satellite image
segmentation,
control,
[171]
[613]
satellites
Landsat,
surface acoustic wave,
[2000]
sensor fusion,
[253]
sensoring,
[2078, 99, 130]
calibration,
[1520]
force,
[90]
ultrasound,
[1311]
vapour,
[1292]
sensors
gas,
[2000, 1261]
optical,
[1407]
tracking,
[1809]
[142]
SGA,
[1613, 703]
scattering,
[370]
shape design,
[2388]
scheduling,
[1245, 2390]
shape model
multiprocessor,
[1868]
B-spline,
[527]
spintronics,
parallel processing,
[1749]
shape modeling,
[1088]
production,
[2376]
signal procesing
robot,
[2231]
medical,
road networks
[2356]
[2177]
[2039]
Subject index
71
signal processing,
[2045, 2046,
2047, 78, 2057, 2061, 2044, 2048,
2283, 2081, 2053, 2054, 2058, 2282,
1779, 2067, 1780, 2070, 2071, 2079,
2049, 2050, 2051, 1768, 2052, 2055,
2056, 2062, 2063, 2064, 2065, 2068,
2069, 1781, 1782, 1788, 1789, 2073,
1790, 2074, 2075, 2076, 2077, 2078,
1602, 1844, 1845, 1846, 1610, 1847,
1848, 1852, 1855, 1856, 1857, 1861,
1862, 1863, 1629, 1866, 1867, 1868,
1633, 1869, 1637, 1875, 1876, 200,
1640, 1880, 1646, 1882, 1884, 1649,
1887, 1888, 1889, 1890, 1891, 1893,
1896, 1899, 1666, 1902, 1907, 1912,
1917, 1680, 1923, 1507, 1926, 1928,
1929, 1933, 1934, 1936, 1508, 1941,
1943, 1947, 950, 1954, 1957, 1962,
1966, 1968, 1970, 1384, 1973, 1974,
1975, 1977, 1984, 1985, 1033, 1992,
65, 2003, 2005, 2008, 2010, 2014,
2018, 2021, 2022, 2023, 2029, 2033,
1525, 2038, 1800, 1802, 2205, 1805,
1807, 1550, 1808, 1809, 1810, 1812,
1813, 1814, 1491, 1561, 1818, 1311,
1820, 1821, 1585, 1838, 655]
signal processing
detection,
[1997, 2020,
2024]
[40, 1921]
digital,
[1994]
diphone durations,
[1925]
DSP,
[1963, 2026]
ECG,
[276]
echo,
[1999]
echo cancellation,
[76]
electrocardiographs, [1906]
estimation,
[2066, 1894,
1982, 2028]
feature selection,
[263, 1414,
2034, 365]
filter,
[1754]
filter design,
[1776, 1730]
[1942]
filter design methods,
acoustics,
[42, 21, 24]
filters,
adaptive filters,
[1718]
ADC,
[1831, 1835]
analog,
[48]
[1883, 1944,
1950, 1952, 56]
[1910]
neural network-based,
diagnosis,
acoustic,
audio,
myoelectric,
[1512]
[1603, 1605,
1614, 1617, 380, 1621, 1635, 1655,
1656, 1657, 1678, 1506, 1691, 1697,
1767, 1701, 1702, 1513, 1708, 1709,
1712, 1715, 1719, 1721, 1729, 1731,
1734, 1514, 1737, 1739, 1519, 1753,
1762, 1765, 1536, 1538, 1548, 1551,
1490, 1567, 1588, 1591, 1592, 1595,
1597, 1485]
neural networks,
[1874]
[1895, 1663,
1665, 1940]
NMR,
[2019]
noise,
[1935]
noise control,
[1697]
noise prediction,
[1804]
non-linear,
[1692]
optical,
[1733]
quantum,
radar,
[1496]
[1681, 1986,
1990, 2002, 316]
recognition,
[11]
recursive filters,
[1624]
resonance,
[1959]
restoration,
[1981]
sampling,
[1969]
satellite,
[1870]
SAW,
[1577]
scheduling,
[1922]
segmentation,
[2009]
FIR filters,
[1638]
seismic,
[1849]
formant,
[1908]
semantics,
[1932]
Fourier,
[2059, 2060]
sensor fusion,
[1854]
bilinear estimation, [1901]
FPGA,
[1830, 1841]
sensoring,
[1953]
binary phase codes, [1851]
fractals,
[1965]
separation,
[2027]
sharpening filter,
[1689]
sigma-delta ADC,
[1823]
sound,
[2036]
source separation,
[1816]
auto correlation,
bibliography,
[1996]
[2082]
blind signal separation,
[1580]
blind source separation,
[1822,
frequency assignment,
fuzzy,
[1843]
[1931]
1827]
block motion,
[1913]
block trunkation coding,
[1859]
hardware,
[2040]
[1903, 1905,
1937, 1951, 1972, 2015]
ICA,
[1580]
channel estimation, [1497]
IIR equalizer,
[1853]
chaotic signals,
[1911]
impulse response,
[1989]
circuit modeling,
[1920]
Kalman filtering,
[1654]
classification,
[119]
calibration,
[1924]
speaker identification, [1991, 1825]
speaker verification, [1806, 1286]
spectrum estimation,
speech,
[33, 2011,
1432, 1263, 1816, 1494, 1829, 1833,
1837]
speech ,
medical,
[1898]
[1819]
[1873, 1998,
speech recognition,
2030, 2037, 1824]
[1946, 1390,
1404, 1410]
classifiers,
[2006]
microwave,
[1694]
compressing,
[1914]
modulation,
[1904]
synthesis,
[1834]
monitoring,
[1967]
synthesizer,
[1960]
motion,
[1979]
target detection,
[2025]
multidimensional,
[1918]
music,
[2017]
time delays,
compression,
[2080, 1842,
1927, 1938, 1939, 1961, 1971, 1978,
1817]
compression strategies,
correlation,
[1858]
[1924]
surace acoustic wave,
[2000]
[1919]
72
time-series,
[287]
tomography,
[12]
tone detection,
[1871]
tones,
[1945, 1948]
classification,
tracking,
[1803]
gas chromatography, [1452]
transient analysis,
[1483, 216]
imaging,
[554]
transients,
[1976]
infrared,
[1682]
ultrasound,
[1865]
IR,
[2031]
mass,
[159]
MRS,
[1912]
vector quantisation,
[1872, 1980,
halftoning,
[508]
surface fitting,
[334]
sonar,
[1225, 32]
surface registration,
[2317]
spectroscopy,
[1484]
survey
[159]
microarray data analysis,
system estimation,
[2182, 2181,
2184, 2186, 2201, 2183, 2185, 2196,
2198, 2200, 2187, 2188, 2189, 2192,
2197, 2199, 2202, 2203, 2092, 2093,
2094, 2095, 2096, 2097, 2098, 2099,
2100, 1861, 2102, 2103, 2105, 2106,
2108, 2109, 2111, 2112, 2113, 2114,
2115, 2116, 2117, 2118, 2120, 2122,
2123, 2124, 2126, 2128, 2129, 2130,
2132, 2133, 2136, 2137, 2138, 2140,
2141, 2180, 2142, 2144, 2145, 2147,
2150, 2151, 2152, 2153, 2155, 1989,
2156, 2157, 2158, 2159, 2161, 2162,
2163, 2165, 2166, 2167, 2169, 2170,
2171, 2173, 1524, 2178, 2179, 2084,
2085, 2088, 1323, 2083, 2089]
[1877, 2242,
near-infrared,
2007]
[2031, 1836,
1840]
video,
[1964, 1050]
VLSI,
[2013]
NIR,
voice,
[1879, 1387,
[281, 1262,
1317, 361]
NMR,
1983]
[1468, 257,
1973, 2019, 145]
VQ,
[1916, 1949]
Raman,
[123, 1308]
wavelet,
[1836, 1840]
reflectance,
[110]
wavelet-based,
[1892]
rocks,
[110]
T-ray,
[151]
wavelets,
[1858, 1860,
1864, 1897, 1930, 1955, 1993, 2004,
2031, 2032, 2041, 2042, 2043, 1534,
1272, 108, 122, 1801]
wavelength selection,
[361]
[1987]
signal processing/BSS,
[1816]
signal processing?,
[1900, 1956]
speech restoration,
[1899]
[2006]
tabu search,
[1630]
[190]
telecommunications,
[2238, 729]
stereo vision,
[984]
stereography,
[945]
[1915]
[834, 901, 930]
[795]
testing,
[734]
string matching
[2206]
[658, 661]
[2313, 570,
646, 662]
optical,
software
[580, 2218]
approximate,
[1416]
STROGANOFF,
[2119]
subdivision,
1590]
[2364]
compression,
[1817]
image,
[1124, 1169]
mobile,
[1548]
optical,
[2395, 2396]
optical networks,
[2001]
routing,
[2384]
signal detection,
[1867]
teleconferencing,
[615]
traffic supervision,
[2330, 2336]
TV,
[2360]
[2350, 2344,
2311, 2316]
software testing,
CDMA,
multiuser detection, [1820]
tensile testing,
[1823]
[2272, 1171]
[1968, 2389,
2003, 1821]
[1816]
stereo matching,
strain testing,
snakes,
[2127]
statistics,
SKO,
[2168]
structural,
[2107, 2160]
strain
DSP,
online,
system identification?,
[1632, 1652]
[2381]
[2143, 2146,
2148]
[1499]
higher order,
simulation,
[2154]
splines,
[1886]
[1220, 1193,
1786, 1652, 828, 866, 913, 1412,
2026]
[2139]
[1023]
signalprocessing
signatures,
industrial process,
nonlinear,
signal processsing
signature verification,
[2110, 2125,
genetic programming, [2091, 2101]
[1925]
Ising,
spectral analysis,
[2175]
2135, 2149, 2087]
speech processing,
spin
filters,
fuzzy,
neural networks,
signal processsig
astronomical,
complex systems,
[1494]
recognition,
medical,
maximum likelihood, [2164]
speech
word isolation,
[1523]
1815]
[1310]
testing
[575, 2213,
superquadrics,
[916, 1011]
image processing,
[593]
Subject index
material,
73
[441]
software,
[2206, 2314,
stars,
video
[1549]
trademarks
thermal,
[641]
150]
dissimilarity,
text book,
[1118]
vision,
[2316]
traffic
[115, 125]
early,
[2309]
[810]
evoked potentials,
[1918]
[1958]
stereo,
[1013, 2315]
control,
[2016]
sign recognition,
textbook
image processing,
[848, 665]
signal processing,
[848, 665]
[2351, 2354,
2299]
traffic signal,
control,
VLSI
[1995]
texting
traffic signals
electronics,
design,
[1905, 1505,
1937, 1951, 1415, 2026, 1756, 1573]
[1834]
control,
texture,
[1885]
[1198, 2351,
filters,
transducers
1148, 1172]
piezoelectric,
[1555]
power optimization, [1937, 1951]
analysis,
[998]
edge detection,
[994]
transportation
segmentation,
[1080]
control,
[2012]
digital,
[1537]
[1182]
Trellis coding,
[1966]
layout,
[1245]
VLSI design?,
[1972]
Voronoi graph,
[1425]
thermal profiles,
TSP,
thinning
gray-scale,
[27]
VLSI design
[2350, 1245,
1628, 741, 2110, 819, 2126]
[791]
turbines
timber
fuels,
classification,
walking
[1452]
[123]
control,
tutorial
time series,
[1384, 1808]
filter design,
bilinear,
[1515]
prediction,
[2032, 2041]
Volterra,
[2128]
[1791]
GA in signal processing,
[1504]
water tank,
[2201]
wave length,
[281]
machine learning,
[1923]
wavelet,
[1222]
[287]
ultrasound,
[82]
[2169]
cleaning,
[2090]
Doppler,
[1865]
tissue
skin,
[868]
[2262]
quantum signal processing, [1496]
Volterra,
warping,
image processing,
time-series
patterns,
[2337]
filters,
wavelet transform,
[1570]
[1172]
wavelets,
[677,
1864, 1897, 917, 1965, 2004, 1423,
332, 12, 108, 119, 1500]
[1578]
tomography,
[1907,
832, 1939, 1943, 1961, 1975, 2003,
2011, 2021, 484]
[887, 920,
2386, 989, 1044, 400]
acoustic,
[47]
brain,
[546]
electrical capacitance,
[607]
adaptive,
[476]
compression,
[1866, 1163]
image retrieval,
[1067]
texture,
[1051, 1078]
textures,
[299]
vector quantization
k-means,
[986]
vehicles
impedance,
[486]
infrared,
[755]
vibration,
[52, 55]
lung,
[640]
vibrations,
[16]
tracking
wavelets
marine,
spectra,
[1697]
[83]
www
usage,
[132]
74
4.8
Annual index
The following table gives references to the contributions by the year of publishing.
1963,
[1480]
1967,
[2191]
1973,
[2182]
1980,
[1461]
1981,
[1194, 1457]
1982,
[1776, 1777]
1983,
[1778, 1470]
1984,
[2181, 2045, 2046, 2047, 1207]
1985,
1995,
[1866, 730, 1340, 1631,
1632, 1867, 1868, 731, 1633, 1869, 37, 732, 194, 1870, 733,
1871, 734, 735, 38, 1341, 736, 737, 2108, 195, 738, 1634,
196, 1635, 1872, 739, 740, 1342, 741, 1873, 2109, 39, 1636,
1874, 742, 197, 743, 1637, 1638, 1875, 1639, 744, 198, 199,
1876, 745, 746, 747, 748, 2110, 2111, 200, 1640, 1641, 1877,
1642, 1643, 749, 201, 750, 2240, 751, 1878, 752, 753, 202,
754, 1879, 755, 2112, 756, 1880, 757, 1644, 758, 759, 1645,
1646, 40, 1647, 760, 1881, 203, 1882, 204, 1883, 205, 761,
1502, 1648, 2374, 762, 1884, 2113, 763, 764, 1649, 765, 766,
206, 767, 1650, 1343, 768, 1344, 207, 769, 208, 209, 1345,
770, 1651, 1885, 2375, 2114, 2242, 1886, 1652, 2243, 1653,
1887, 1654, 2244, 41, 1503, 1888, 771, 772, 773, 2115, 774,
1655, 2245, 775, 2116, 1889, 776, 1656, 210, 777, 382, 1890,
1657, 778, 779, 1891, 211, 2376, 212, 213, 780, 1658, 781,
214, 782, 1659, 1892, 1259, 1483, 783, 1893, 784, 2246, 785,
1894, 1895, 2117, 1896, 1346, 2247, 786, 787, 2377, 788,
1660, 2118, 1661, 1897, 789, 1898, 2248, 790, 791, 792, 215,
42, 793, 43, 1347, 216, 794, 217, 1899, 795, 796, 383, 1662,
2249, 2250, 1900, 2251, 2252, 2378, 797, 798, 218, 2119, 219,
799, 220, 800, 801, 1901, 1663, 1348, 1664, 802, 44, 1665,
803, 804, 805, 1666, 1902, 2082, 1256]
1996,
[806, 1349, 2379, 384, 1667, 807,
808, 221, 809, 222, 223, 810, 1903, 811, 1350, 812, 45, 1904,
224, 225, 226, 813, 814, 815, 816, 1905, 2253, 1351, 817, 818,
2120, 819, 1906, 820, 821, 822, 823, 227, 46, 1668, 824, 1907,
825, 1669, 1670, 826, 228, 229, 385, 47, 827, 828, 230, 1908,
1352, 1671, 829, 830, 831, 2121, 1909, 1910, 1911, 231, 832,
1353, 833, 834, 835, 836, 1672, 837, 2122, 838, 1354, 1912,
232, 1913, 839, 233, 234, 840, 841, 842, 843, 844, 1673, 845,
2123, 48, 1674, 1355, 1675, 1914, 235, 1356, 846, 1915, 49,
2124, 847, 848, 1916, 1357, 849, 2125, 1917, 2126, 1358, 850,
1504, 1359, 851, 1676, 852, 1677, 853, 854, 855, 1360, 856,
857, 1918, 2380, 1361, 858, 2381, 1919, 1678, 1362, 1505,
1920, 2382, 859, 860, 861, 1679, 862, 863, 2127, 864, 2128,
236, 865, 866, 1921, 867, 1922, 1680, 868, 237, 1681, 1923,
2129, 1506, 386, 1682, 869, 1924, 50, 870, 871, 1363, 872,
873, 1507, 1364, 874, 875, 1365, 876, 1366, 51, 1484, 1683,
1684, 1925, 877, 878, 879, 880, 1926, 881, 2383, 2384, 238,
882, 52, 1927, 883, 2130, 1685, 1928, 884, 53, 1367, 885,
1368, 1929, 1930, 1369, 2328, 1931, 1932, 1370, 886, 887,
1933, 888, 889, 890, 891, 1934, 1686, 239, 892, 893, 894,
895, 896, 897, 898, 1935, 240, 899, 900, 901, 241, 902, 903,
1687, 1688, 904, 1371, 905, 1936, 906, 242, 2385, 1937, 907,
908, 1938, 1372, 1508, 909, 910, 243, 911, 912, 1939, 913,
1940, 1941, 914, 2131, 1689, 915, 2132, 916, 2133, 244, 1942,
1690, 245, 917, 2134, 1943, 918, 919, 1373, 920, 1691, 921,
922, 2135, 54, 923, 246, 1944, 387, 1692, 924, 925, 2136,
1945, 926, 2137, 1946, 1509, 247, 248, 1374, 927, 55, 928,
929, 1947, 930, 1693, 931, 932, 933, 1694, 249, 250, 934,
935, 1695, 1948, 1696, 2138, 251, 1949, 1697, 2139, 1375,
936, 1698, 937, 938, 939, 1950, 1699, 940, 941, 942, 1951,
1952, 2140, 943, 56, 1700, 2141, 944, 1767, 2180, 1181, 83]
1997,
[1953, 945, 2254, 1376, 1377, 946, 57,
947, 1510, 948, 949, 950, 2255, 1378, 1954, 2142, 252, 1701,
2256, 951, 253, 1955, 2329, 952, 1702, 953, 1956, 954, 955,
956, 1957, 957, 958, 1379, 1958, 959, 960, 254, 1380, 1511,
1512, 961, 962, 1959, 963, 1960, 1381, 964, 965, 1382, 966,
1961, 255, 967, 256, 968, 1962, 969, 1963, 1964, 1965, 257,
2386, 970, 971, 972, 2143, 258, 1966, 259, 973, 1703, 2330,
260, 2257, 1967, 261, 2144, 974, 1968, 2331, 2332, 2387,
1969, 975, 976, 262, 977, 2333, 1383, 978, 263, 979, 980,
981, 2145, 388, 1970, 982, 983, 264, 1384, 1704, 984, 1385,
1971, 985, 986, 389, 1386, 987, 988, 1705, 265, 1706, 989,
1707, 2258, 2388, 1387, 990, 2334, 991, 1972, 266, 1513, 992,
1973, 2389, 1708, 1974, 267, 268, 2146, 993, 2147, 994, 2259,
58, 1709, 2260, 1388, 995, 996, 997, 1975, 1710, 1976, 1711,
998, 1712, 2261, 999, 1000, 2262, 1001, 2263, 1002, 269, 270,
1713, 1003, 271, 1714, 59, 2148, 1004, 2264, 272, 273, 1977,
1005, 1389, 1978, 1979, 1390, 274, 1715, 1006, 1007, 1980,
1981, 1008, 275, 1391, 1716, 1717, 1718, 1719, 1720, 1009,
276, 1982, 1721, 1010, 1392, 1011, 2149, 1012, 1983, 1722,
[78, 1455, 1205, 1206, 82, 1474, 1475,
1478]
1987,
[1220, 351, 1477]
1988,
[1208, 2193]
1989,
[1773, 1202, 2057, 2061, 1221, 85,
1247, 1476, 1481]
1990,
[1454, 1196, 1198, 2184, 79, 2186,
1458, 1204, 1466, 1467, 348, 1471, 1237, 2201]
1991,
[667, 1599, 2221, 1327, 1185, 1188,
2044, 2048, 1769, 1770, 338, 2183, 2185, 80, 2280, 1459,
2283, 1210, 2190, 2194, 2195, 1216, 1217, 1218, 1219, 1469,
347, 1224, 2288, 1231, 2353, 1233, 2290, 1251, 2292, 2081]
1992,
[2222, 1328, 1600, 668, 173, 2349, 1182,
1186, 1193, 2053, 2054, 1774, 2351, 341, 81, 2058, 2282, 407,
1462, 1463, 1779, 2067, 344, 2196, 1213, 2284, 1780, 2198,
1785, 1786, 1787, 1223, 2070, 349, 1225, 2071, 2286, 2287,
1227, 1528, 2401, 1792, 84, 1794, 1232, 2289, 1234, 1236,
1529, 1238, 1243, 354, 355, 2200, 1246, 1248, 1797, 2079,
1252, 2293, 2080, 1255]
1993,
[1329, 1330, 1331, 1601, 669, 2371, 335,
1183, 1184, 1453, 1187, 1189, 1190, 1191, 1192, 336, 1195,
2049, 2350, 2400, 2050, 2051, 1768, 2052, 1771, 1772, 337,
2055, 1197, 1527, 2279, 1199, 1775, 1200, 1201, 339, 340,
2056, 1456, 1460, 1203, 2059, 2060, 2062, 1209, 2063, 2064,
2281, 2352, 2065, 2187, 342, 343, 2066, 1211, 1212, 2188,
2189, 345, 1464, 2192, 346, 2285, 2068, 1465, 1214, 1215,
2069, 1468, 2197, 1781, 1782, 1783, 2199, 1784, 1788, 1789,
1222, 350, 2072, 1226, 1228, 2073, 1790, 1229, 2074, 1791,
1230, 1793, 1472, 1473, 1235, 2075, 1239, 1240, 1241, 1242,
352, 353, 1244, 2076, 2291, 1795, 356, 357, 1245, 358, 2077,
2078, 359, 1796, 360, 1479, 1249, 1250, 1253, 1254, 1798,
1799, 2202, 2203, 2354]
1994,
[2223, 1602, 30, 670, 671, 1842, 378, 672,
1603, 673, 674, 675, 676, 1332, 1604, 677, 678, 679, 1843,
680, 31, 1605, 681, 682, 1333, 1844, 2091, 1606, 174, 2326,
175, 1607, 32, 2372, 683, 1608, 1609, 2092, 1845, 1846, 1610,
2093, 1611, 684, 1847, 176, 2224, 685, 2094, 2095, 2096,
1612, 1613, 686, 687, 1334, 688, 1848, 2225, 177, 2097, 689,
1257, 690, 178, 1614, 2098, 1615, 179, 1849, 691, 33, 692,
1850, 1335, 1851, 693, 1616, 694, 1336, 695, 1617, 34, 696,
1852, 180, 1618, 697, 2226, 181, 698, 1853, 699, 379, 2373,
700, 701, 702, 703, 1619, 2227, 704, 182, 1854, 705, 706,
2099, 183, 1855, 707, 708, 35, 709, 1856, 710, 711, 1857, 712,
713, 714, 715, 2100, 2327, 2228, 2229, 1858, 380, 184, 1620,
716, 1501, 717, 2230, 2231, 1859, 185, 2232, 718, 719, 720,
1621, 1622, 1860, 2233, 186, 2234, 2101, 187, 36, 1861, 2235,
721, 722, 188, 2102, 1258, 1623, 189, 1862, 723, 381, 1624,
1863, 1625, 724, 1864, 1626, 725, 1627, 1865, 726, 1337,
2236, 190, 1628, 2237, 727, 2103, 1338, 2104, 191, 728, 2238,
1629, 1339, 729, 2105, 2239, 2106, 192, 1630, 2107, 193]
Annual index
75
1013, 1723, 1393, 1724, 60, 2150, 1725, 1014, 1394, 2390,
1015, 1395, 1016, 2151, 2152, 1017, 1726, 61, 1018, 1019,
1396, 1020, 2265, 2153, 1021, 1727, 1984, 1022, 2335, 1728,
277, 1397, 1023, 1729, 278, 390, 1024, 1025, 1398, 391, 1026,
2336, 1985, 2154, 1730, 279, 1027, 2337, 2155, 280, 1028,
1399, 1029, 1400, 1731, 1986, 1987, 1401, 1030, 1988, 1031,
1989, 281, 1732, 1990, 282, 283, 392, 1032, 284, 1402, 1733,
1033, 1403, 1404, 1034, 285, 2156, 393, 1035, 2338]
1998,
1999,
2000,
[2241, 1036, 394, 395, 1991, 1992,
1993, 1994, 62, 2339, 63, 1734, 1405, 1514, 1995, 1735, 1736,
1737, 1996, 1037, 2157, 286, 2158, 1038, 1997, 287, 2391,
1515, 2266, 1039, 288, 1406, 1998, 289, 64, 2267, 65, 2392,
1407, 1408, 1040, 290, 291, 1041, 292, 1042, 293, 1409, 2159,
1043, 294, 1044, 2340, 1045, 1046, 1047, 1738, 1410, 66,
2268, 2269, 396, 1739, 1048, 1049, 1050, 1051, 1052, 1999,
1053, 2000, 1054, 1055, 1411, 1056, 1057, 2001, 1058, 1412,
1740, 2160, 2002, 1741, 295, 296, 297, 298, 1059, 1413, 1060,
1061, 1062, 1063, 1742, 2003, 2004, 2005, 1414, 2006, 1064,
1065, 1066, 2270, 299, 2271, 300, 1067, 2341, 2007, 1743,
1068, 1069, 2008, 2009, 67, 1070, 2010, 1071, 2272, 2342,
2393, 301, 1744, 1744, 302, 303, 1072, 2011, 1073, 2161,
2012, 1074, 1745, 1075, 1746, 2013, 1076, 1415, 1747, 2014,
1077, 1078, 2162, 2343, 2163, 304, 1079, 1080, 305, 1081,
2273, 1416, 2164, 1082, 1083, 1516, 1417, 1084, 1517, 68,
2165, 306, 1085, 1518, 1086, 307, 1087, 1088, 1418, 1089,
1419, 1519, 69, 2344, 308, 2015, 1090, 1091, 1092, 1093, 70,
1420, 309, 1094, 310, 1748, 1421, 2166, 1095, 1422, 71, 1096,
1097, 397, 2016, 2017, 2018, 2167, 1098, 1099, 1749, 311,
1100, 2019, 72, 2020, 1423, 1101, 1102, 2021, 1103, 1750,
2022, 312, 1104, 1424, 1425, 2023, 1751, 2024, 1426, 313,
1752, 2394, 314, 1105, 2025, 1753, 2026, 2027, 315, 1427,
1106, 2028, 2168, 398, 316, 1107, 1108, 1109, 2274]
[1110, 2169, 2029, 2030, 1754, 399,
2170, 1111, 1112, 1113, 1428, 1114, 317, 1520, 1115, 318,
1429, 73, 2171, 2395, 400, 319, 1116, 1117, 1430, 401, 1521,
74, 1431, 1118, 1119, 2396, 1432, 2031, 320, 1120, 2032,
321, 322, 1433, 1121, 1122, 2275, 1522, 2172, 2345, 2173,
1434, 1123, 1124, 323, 1125, 1435, 1126, 1127, 1755, 1436,
402, 324, 1437, 1438, 2276, 75, 1756, 1439, 1128, 1129, 1130,
1131, 2033, 1440, 2034, 2174, 1441, 1132, 1523, 1442, 1133,
1443, 2346, 1134, 325, 1524, 2175, 1135, 2347, 1136, 1137,
2277, 2035, 1138, 2036, 1139, 1444, 1140, 1757, 326, 1141,
327, 403, 2397, 1142, 404, 2398, 1525, 1445, 328, 1143, 2278,
1144, 1446, 1145, 1146, 1147, 1758, 1148, 1149, 329, 1759,
1150, 1151, 2037, 1152, 76, 2176, 1153, 1154, 1760, 1155,
2177, 405, 1156, 1447, 1761, 1157, 1158, 1526, 1448, 77,
1762, 1763, 1159, 2038, 2039, 1160, 1161, 1162, 2040, 330,
2178, 1163, 1164, 1165, 1449, 331, 332, 1166, 1167, 1764,
1450, 1168, 1451, 1169, 2041, 1260, 1170, 406, 333, 1171,
1765, 2348, 2179, 1172, 1173, 2399, 1766, 1174, 1175, 334,
1452, 2042, 1176, 1177, 2043, 1178, 1179, 1180]
[408, 409, 1800, 1530, 1261,
2295, 410, 1801, 411, 412, 413, 414, 415, 1802, 2083, 1262,
11, 1263, 1531, 2355, 416, 2204, 417, 418, 418, 419, 1264,
420, 421, 422, 87, 2356, 1532, 1533, 423, 1486, 2296, 1534,
2297, 424, 425, 1535, 426, 1265, 362, 1266, 2298, 12, 88,
1536, 1803, 427, 1537, 428, 1538, 363, 429, 430, 1267, 431,
89, 432, 433, 434, 1487, 2299, 1268, 435, 1269, 1539, 436,
1804, 437, 90, 438, 439, 440, 1540, 441, 91, 1488, 92, 1270,
2205, 442, 1271, 1272, 443, 1273, 2300, 93, 94, 444, 445,
2301, 1541, 446, 1274, 95, 1542, 96, 447, 448, 449, 97, 2357,
1489, 1275, 1276, 450, 451, 452, 1543, 98, 99, 1805, 453,
454, 455, 456, 1544, 1277, 2358, 100, 1278, 457, 458, 1545,
1279, 459, 2359, 1280, 2360, 460, 1546, 1547, 461, 2361, 462,
463, 464, 465, 101, 466, 467, 13, 468, 1806, 1281, 1807, 469,
1548, 1549, 102, 470, 1282, 471, 1550, 472, 473, 1283, 474,
475, 103, 1284, 2302, 1285, 364, 476, 1286, 1551, 477, 104,
1808, 1809, 1552, 478, 14, 365, 1810, 105, 479, 480, 1553,
481, 1287, 482, 1288, 1554, 2206, 2214]
2001,
[483, 1811, 1555, 484, 1289,
485, 106, 2362, 1290, 2303, 486, 107, 2084, 1812, 487, 488,
489, 108, 2363, 1291, 490, 1292, 366, 491, 492, 1293, 367,
493, 494, 495, 109, 496, 2207, 497, 498, 110, 499, 2304, 500,
2305, 1556, 1813, 501, 502, 1294, 503, 504, 505, 1557, 111,
506, 1814, 1295, 1296, 2364, 1297, 1298, 507, 2085, 1558,
15, 508, 1559, 112, 2306, 2086, 509, 510, 2307, 511, 1560,
512, 2308, 113, 114, 1299, 513, 115, 514, 515, 368, 1490,
2365, 116, 1491, 16, 1300, 1561, 117, 1301, 516, 118, 1302,
119, 517, 518, 1303, 519, 520, 2366, 1562, 521, 522, 523,
1815, 120, 1563, 1304, 1564, 121, 2367, 1816, 1565, 1305,
122, 1566, 1567, 17, 123, 124, 524, 2309, 1568, 525, 526,
125, 1817, 1569, 1492, 1570, 126, 1571, 2208, 1482]
2002,
[527, 528, 1306, 529, 2310,
1307, 2209, 1308, 127, 128, 2210, 369, 129, 130, 1818, 1309,
1310, 370, 530, 18, 531, 532, 533, 1572, 131, 19, 19, 534,
2311, 535, 1311, 1819, 1493, 536, 1573, 2087, 132, 1574,
2211, 1575, 2088, 2089, 537, 2312, 1312, 133, 20, 134, 1313,
1576, 135, 538, 136, 137, 1820, 1494, 138, 1314, 139, 539,
540, 541, 1495, 2313, 1315, 542, 140, 543, 371, 2314, 1577,
1821, 1316, 1496, 544, 545, 546, 2368, 547, 1317, 141, 548,
142, 1318, 549]
2003,
[1497, 550, 372, 551, 552, 553, 1578,
1498, 554, 1579, 1580, 555, 1581, 556, 143, 557, 558, 1582,
559, 1822, 1823, 560, 21, 561, 1319, 1320, 2212, 1824, 562,
22, 563, 1583, 564, 144, 565, 566, 567, 145, 568, 146, 1584,
1321, 569, 1585, 570, 147, 1825, 373, 148, 571, 1826, 572,
1322, 149, 150, 1586, 1827, 573, 574, 1587, 575, 576, 577,
1588, 578, 1589, 579, 2213, 1590]
2004,
[580, 151, 152, 1591, 1828, 581,
582, 583, 1592, 153, 584, 585, 154, 586, 23, 587, 588, 589,
24, 590, 1829, 591, 1593, 1830, 25, 592, 593, 594, 155, 595,
596, 597, 598, 599, 600, 156, 1323, 601, 602, 603, 604, 605]
2005,
[2315, 1831, 157, 606, 1832, 607, 1833,
2215, 158, 608, 609, 610, 611, 159, 160, 612, 2316, 2216, 613,
614, 161, 26, 615, 616, 617, 361]
2006,
[618, 27, 619, 1324, 1834, 620, 162,
2369, 621, 622, 623, 624, 1594, 2317, 625, 374, 626, 2318,
627, 163, 2319, 628, 2320, 629, 2321, 630, 164, 2322, 1595,
631, 1835, 165, 632, 166, 1325, 633, 375, 2323, 634, 635]
2007,
[1836, 636, 637, 1837, 2370,
28, 638, 167, 639, 640, 641, 2324, 1326, 376, 1596, 168, 169,
642, 1838, 1839, 2090, 643, 644, 645, 646, 647, 648, 1840,
649, 170, 2217, 2218, 2219, 2294]
2008,
[650, 1499, 651, 652, 653, 654,
2220, 2325, 171, 1841, 172, 655, 377, 656, 657, 1597, 658,
659, 660, 661, 662, 663, 86]
2009,
[664, 1598, 29, 1500, 665, 666]
76
4.9
Geographical index
The following table gives references to the contributions by country.
• Algeria: [267, 587, 588, 601]
• Argentina: [1671, 1489]
• Australia: [2078, 2326, 1620, 381, 741, 760, 2114,
786, 218, 1666, 2253, 238, 52, 915, 55, 2139, 957,
262, 1008, 1719, 1010, 1393, 1984, 1056, 1114,
323, 2038, 438, 1806, 535, 1321, 148, 151, 2322,
1597]
1346,
1958,
1522,
2323,
• Austria: [906, 2263, 1003, 2269, 2278, 1563, 1492, 169]
• Bangladesh: [664]
• Belgium: [1481, 2248, 1355, 51, 881, 927, 936, 1006,
1431, 457, 462, 540, 1823, 167]
• France: [1307, 2089, 2288, 1211, 1212, 358, 672, 685,
2225, 1615, 692, 1862, 723, 731, 38, 1648, 777, 780, 783,
2117, 792, 799, 44, 2121, 839, 1686, 2330, 975, 59, 1015,
2336, 288, 1061, 1079, 1080, 305, 71, 2277, 403, 1142,
328, 1143, 435, 96, 2361, 2302, 496, 18, 531, 538, 1320,
568, 577, 2315, 1839, 655, 377, 665]
• Germany: [2295, 1194, 2181, 1188, 1217, 1218, 1219,
1213, 354, 355, 1329, 1331, 1601, 2187, 1465, 1214,
2069, 356, 357, 1245, 1796, 1603, 1606, 1608, 686, 2229,
185, 1866, 1872, 1645, 762, 1659, 1894, 1901, 225, 229,
849, 853, 1505, 2129, 885, 243, 1939, 1692, 1947, 1694,
250, 2180, 2142, 254, 967, 1964, 1967, 1004, 1727, 2335,
278, 1026, 283, 1733, 1033, 1993, 2157, 1050, 2000,
1411, 1413, 2009, 1745, 2015, 1098, 2031, 1435, 1136,
2035, 2204, 89, 468, 367, 2306, 2309, 525, 145, 1828,
1832, 628]
• Brazil: [1895, 2149, 287, 1409, 296, 297, 321, 75, 2033,
2177, 2039, 1531, 1294, 135, 1319, 2212, 573, 578, 579,
594, 612, 617, 376, 651]
• Greece: [1502, 43, 1918, 54, 1701, 2389, 2159, 2343,
1139, 88, 452, 490, 1491, 162, 638, 172]
• Bulgaria: [346, 201, 279]
• Hungary: [469, 584, 600, 604, 605, 616, 620, 621, 633,
635, 648]
• Byelorussia: [763, 1385, 2160]
• Iceland: [226, 324]
• Canada: [2193, 2183, 2194, 2195, 1233, 2196, 2284,
2289, 1234, 1235, 698, 2099, 716, 719, 207, 779, 216,
2378, 819, 241, 1963, 1715, 2150, 1395, 1994, 63, 1734,
66, 1416, 2019, 1754, 1446, 362, 98, 100, 1283, 1291,
1296, 16, 20, 371, 1821, 597, 608, 625, 2319, 2325, 1598]
• India: [335, 1240, 699, 728, 1339, 194, 739, 761, 2245,
787, 224, 1354, 850, 2127, 1364, 1365, 1927, 986, 1978,
1391, 1402, 2241, 2339, 2010, 1417, 1517, 1085, 1086,
307, 2344, 1749, 1427, 398, 2395, 1443, 326, 329, 1152,
2179, 1530, 1261, 1268, 449, 1277, 461, 463, 471, 479,
480, 519, 126, 1312, 1577, 581, 1324, 165, 1841, 656,
666]
• Chile: [1115, 1168, 107, 124]
• China: [2081, 1255, 1191, 1501, 1929, 753, 2115, 775,
1660, 1897, 821, 822, 836, 1913, 1504, 867, 240, 900,
1941, 918, 1965, 2332, 1706, 268, 2146, 1388, 995, 1394,
2152, 1022, 1410, 1051, 1055, 1058, 1066, 2271, 302,
303, 1073, 304, 1100, 1423, 1101, 2021, 2022, 1425,
2023, 1426, 2025, 1108, 1125, 1134, 1141, 1156, 2178,
1163, 331, 1166, 1167, 412, 419, 1264, 420, 1265, 1803,
430, 433, 1539, 1272, 450, 1278, 465, 474, 1551, 2303,
489, 500, 502, 503, 504, 1559, 516, 517, 520, 1305, 1566,
1494, 549, 1497, 1579, 1822, 564, 570, 571, 1826, 572,
1586, 1827, 1588, 1589, 582, 590, 595, 607, 2215, 160,
618, 27, 622, 626, 2320, 2321, 1325, 636, 643, 647, 659,
1215, 1853, 1634, 1344, 823, 834, 1507, 876, 898, 1942,
921, 1944, 1945, 1946, 1948, 1697, 1950, 1952, 56, 2329,
1956, 1969, 979, 999, 1390, 1028, 1403, 393, 1992, 2267,
1408, 1065, 1743, 1074, 1418, 1118, 1441, 1758, 1759,
1766, 334, 1800, 1533, 432, 1541, 1490, 1300, 1564,
1816, 1565, 1569, 2210, 583]
• Indonesia: [2209]
• Colombia: [114]
• Japan: [476, 1286, 1288, 1572, 2286, 2287, 1227, 2079,
669, 1460, 1203, 1209, 342, 343, 1226, 1228, 1244, 2203,
2354, 378, 2092, 1613, 687, 1257, 2098, 691, 1850, 695,
703, 1619, 2227, 704, 1854, 706, 1856, 710, 711, 714,
184, 717, 1861, 188, 1623, 1863, 724, 725, 1627, 1337,
727, 2103, 2104, 191, 2238, 729, 730, 1632, 1869, 1342,
743, 198, 2110, 1641, 2240, 754, 1879, 755, 759, 40, 766,
206, 767, 1651, 1885, 2375, 1652, 773, 2116, 1889, 776,
1890, 211, 2376, 1658, 781, 782, 2246, 785, 789, 1898,
791, 793, 1899, 795, 796, 1662, 2249, 2250, 2251, 2252,
797, 2119, 219, 800, 801, 1348, 1664, 802, 803, 806,
1667, 807, 809, 810, 1352, 831, 1353, 833, 234, 840, 841,
842, 844, 1673, 845, 2123, 48, 1914, 235, 1356, 2126,
1358, 1359, 1676, 852, 854, 1361, 2382, 859, 863, 864,
236, 865, 1921, 878, 879, 880, 1926, 882, 884, 53, 1367,
1368, 1369, 1370, 886, 894, 897, 1935, 899, 901, 902,
903, 1688, 904, 916, 2133, 2134, 1373, 2135, 923, 1374,
930, 1693, 932, 933, 934, 935, 251, 1698, 937, 938, 941,
942, 943, 2141, 944, 1767, 83, 948, 965, 1382, 968, 970,
971, 972, 2143, 258, 1966, 260, 2257, 974, 982, 1384,
984, 1707, 990, 2334, 1513, 992, 1708, 994, 58, 996, 997,
• Croatia: [700]
• Cyprus: [349, 1991]
• Denmark: [1922]
• Egypt: [399, 653, 654, 1276, 105, 533, 1580]
• Estonia: [555]
• Finland: [542, 1611, 689, 709, 2100, 1625, 1867, 1639,
1642, 1902, 2082, 832, 1675, 1677, 2128, 1680, 951,
1961, 255, 2144, 265, 1975, 1712, 2264, 2003, 1109,
2274, 1755, 1439, 1133, 325, 1144, 1762, 1179, 1180,
426, 1269, 1270, 1548, 1550, 478, 2206, 508, 1570, 2208,
1482, 1313, 2314, 557, 575, 2213, 1590, 154, 24, 1829,
593, 603, 157, 609, 361, 627, 1838, 649, 2217, 2218,
2219, 2294, 660, 662, 663, 86]
• Iran: [1636, 266, 152, 156, 1831, 983, 1990, 492]
• Ireland: [1366, 2261]
• Israel: [1469, 1785, 1618, 838, 856, 1377, 1703, 1716,
1744, 1424, 2030, 2396, 1436, 431, 445, 1576]
• Italy: [1253, 670, 1842, 1332, 682, 1607, 32, 2372, 718,
720, 1621, 36, 733, 1871, 735, 737, 2108, 39, 2242, 41,
1655, 1896, 813, 820, 227, 46, 47, 1908, 835, 1672, 49,
1920, 871, 2328, 891, 1936, 242, 913, 1689, 955, 964,
966, 1705, 1974, 1001, 395, 1735, 294, 2268, 2272, 2014,
1083, 310, 1112, 1429, 400, 1121, 1150, 1451, 1171,
1177, 1535, 447, 458, 1552, 2363, 1557, 2307, 17, 1568,
128, 129, 1818, 536, 141, 1498, 561, 146, 1593, 602, 611,
614, 1834, 163, 166, 639]
Geographical index
1389, 1979, 1009, 1982, 1721, 1392, 1011, 1012, 1723,
1017, 1726, 1018, 1020, 2153, 1021, 1397, 391, 1027,
2337, 2155, 1987, 1401, 1030, 1031, 1989, 284, 1404,
1034, 285, 1035, 2338, 1036, 291, 1043, 1044, 1046,
1047, 1738, 1052, 1057, 1741, 295, 1068, 1069, 2008, 67,
1070, 1075, 1076, 1415, 1078, 1087, 1088, 1093, 1421,
2166, 1095, 1422, 2017, 1102, 1103, 1750, 312, 2024,
314, 1105, 2027, 315, 2170, 319, 1433, 1122, 2275, 1126,
402, 2034, 1137, 1138, 2036, 1140, 1155, 1157, 1158,
1526, 1159, 1161, 1164, 1165, 1449, 1260, 1170, 406,
333, 1765, 2348, 1172, 1175, 1176, 1178, 409, 411, 413,
428, 439, 441, 1488, 443, 444, 446, 1274, 1275, 451,
1805, 1807, 475, 1284, 1285, 1553, 1287, 1555, 2305,
1556, 1297, 15, 118, 1303, 1562, 2367, 532, 1311, 2088,
1315, 2368, 1318, 553, 21, 153, 585, 615, 624, 1326]
• Jordan: [2112, 1893]
• Lebanon: [168]
• Lithuania: [642]
• Malaysia: [1298, 136]
• Marocco: [2254]
• Mexico: [1865, 811, 1084, 2032, 2174, 2041, 2042, 2043,
565, 623]
• New Zealand: [1543, 1830, 2220]
• Norway: [1536, 1537, 436, 1835]
• Poland: [1790, 1646, 212, 1663, 1665, 959, 1704, 2147,
998, 1713, 1730, 1081, 306, 1106, 90, 1545, 610, 2090]
• Portugal: [1801, 2391, 2162, 1099, 2394, 1160, 418, 472,
481, 482, 1554, 487, 522, 524, 1323]
• Puerto Rico: [521]
• Romania: [177, 2122, 887, 953, 259, 1709]
• Russia: [2045, 2046, 2047, 78, 2048, 389, 1742, 2357]
• Saudi Arabia: [1857, 1514]
• Singapore: [2243, 808, 1904, 875, 926, 1375, 2145, 388,
1732, 68, 1520, 2171, 1442, 92, 466, 366, 599, 374, 2318,
2324, 652]
• Slovenia: [1650, 2091, 2101]
• South Africa: [1230, 1544, 543]
• South Korea: [1258, 744, 1877, 2113, 778, 1907, 825,
2125, 861, 1363, 872, 873, 874, 893, 896, 1508, 909, 919,
2138, 960, 976, 980, 981, 1005, 1007, 1980, 1981, 1998,
2006, 2270, 1067, 2341, 308, 1090, 1091, 1104, 1430,
1131, 1440, 2346, 1447, 1169, 415, 87, 1486, 1804, 440,
103, 1293, 2304, 121, 529, 19, 1314, 541, 1581, 1582,
559, 591]
• Spain: [2083, 2049, 790, 1919, 956, 261, 271, 298, 2168,
1434, 1438, 1148, 410, 424, 1282, 484, 2207, 1295, 112,
2310, 131, 1819, 552, 566, 158, 2317, 375, 1836, 1840,
29]
• Sweden: [1251, 1252, 1917, 72, 1525, 77, 505, 629]
• Switzerland: [2061, 736, 1915, 1045, 2176, 2356, 425,
459, 2369]
• Taiwan: [1485, 464, 680, 2094, 37, 747, 758, 770, 383,
817, 818, 846, 1931, 895, 908, 2132, 917, 1691, 387, 931,
1949, 1957, 958, 961, 2333, 1383, 1386, 987, 1396, 1038,
2266, 2001, 1412, 1740, 2004, 1064, 299, 2007, 2011,
1077, 1092, 401, 1120, 2172, 1124, 1128, 1524, 1445,
1162, 2040, 11, 1263, 421, 423, 1538, 1487, 1273, 2300,
515, 368, 1302, 523, 1815, 1304, 1817, 127, 2087, 138,
22, 147, 1825, 586, 25, 613, 161, 26, 619, 630, 631, 28,
646, 171, 658, 661]
77
• Thailand: [2247, 2167, 1116, 1173, 1299, 598, 1500]
• The Czech Republic: [1973, 1573, 1912, 1309]
• The Netherlands: [94, 1192, 1468, 713, 768, 237, 277,
281, 2355, 416, 1267, 97, 507, 509, 512, 526, 130]
• The Slovak Republic: [1259]
• Tunisia: [2163]
• Turkey: [359, 197, 1638, 1640, 812, 830, 276, 2154,
1997, 1746, 397, 2018, 313, 1753, 316, 1432, 332, 122,
547]
• Ukraina: [750, 264, 1448]
• United Kingdom: [437, 2301, 2360, 460, 1457, 85, 1458,
2201, 341, 2282, 407, 2198, 1787, 1223, 1528, 2371,
1768, 1771, 1772, 2281, 2352, 2065, 2066, 2197, 1782,
2199, 2223, 1602, 671, 1843, 1610, 684, 2224, 2096,
178, 693, 694, 1617, 1852, 379, 702, 380, 2230, 2232,
1622, 2233, 722, 2102, 1624, 1626, 2236, 1628, 2237,
1629, 2105, 2106, 192, 1630, 1631, 1868, 1633, 740,
2109, 1637, 1875, 748, 2111, 200, 1880, 757, 203, 204,
1883, 1884, 1649, 1345, 1653, 2244, 1888, 1656, 210,
382, 1657, 1483, 794, 1349, 2379, 222, 1903, 1905, 1351,
2120, 824, 1669, 1670, 385, 231, 1674, 1916, 2380, 2381,
1362, 1506, 386, 870, 1684, 1925, 2383, 2130, 1685,
1928, 888, 2385, 1937, 1372, 912, 1940, 2131, 244, 1690,
924, 2136, 928, 929, 1695, 1696, 940, 1951, 2140, 1700,
1181, 945, 949, 952, 1511, 1512, 1381, 256, 973, 978,
985, 1387, 991, 1972, 993, 2259, 1710, 1976, 1711, 270,
1714, 2148, 1977, 1717, 1718, 1720, 1724, 390, 1398,
280, 1399, 1400, 1731, 1988, 392, 394, 1995, 1737, 1037,
2158, 1041, 396, 1999, 301, 2161, 2013, 2273, 2164,
1516, 2165, 1518, 1419, 1519, 1094, 1748, 2016, 2026,
2028, 1110, 1113, 2173, 1123, 1127, 1756, 1130, 1523,
1135, 1444, 2397, 1149, 2037, 330, 1764, 408, 1532,
2296, 427, 2205, 99, 455, 1279, 2359, 1547, 13, 365,
1813, 1558, 2308, 113, 514, 518, 120, 369, 534, 1493,
1574, 2211, 1575, 1820, 546, 548, 1578, 143, 562, 563,
144, 569, 574, 1591, 592, 159, 2216, 632, 634, 640, 644,
170]
• United States: [453, 456, 477, 2191, 1461, 1207, 1205,
1206, 1474, 1475, 1220, 1208, 1202, 2057, 1221, 1454,
1196, 1198, 2184, 79, 2186, 1466, 1467, 1471, 667, 1599,
2221, 1327, 338, 2185, 80, 2280, 2283, 2190, 1216, 1224,
1231, 2290, 2292, 2222, 1328, 1600, 668, 173, 1182,
1186, 1193, 1774, 2351, 81, 2058, 1462, 344, 1780, 2070,
1225, 2071, 2401, 1792, 1794, 1232, 1236, 1529, 1238,
1243, 2200, 1246, 1248, 1330, 1183, 1184, 1453, 1187,
2400, 337, 1527, 2279, 1199, 1775, 1200, 340, 1456,
2059, 2060, 345, 1464, 2192, 1222, 2073, 1229, 2074,
1793, 1241, 1242, 352, 2291, 1795, 1479, 1250, 1254,
2202, 674, 676, 1604, 677, 678, 679, 1605, 681, 1333,
1844, 174, 683, 1609, 1845, 1846, 2093, 1847, 176, 2095,
1612, 1334, 688, 1848, 2097, 1614, 179, 1849, 33, 1335,
1851, 1336, 34, 180, 697, 2226, 181, 701, 182, 705, 183,
1855, 707, 708, 712, 715, 2327, 2228, 1858, 2231, 1859,
1860, 186, 187, 721, 726, 190, 1338, 2239, 2107, 193,
1340, 732, 1870, 734, 1341, 195, 196, 1635, 1873, 1874,
742, 199, 1876, 745, 746, 751, 1878, 202, 756, 1644,
1647, 1882, 205, 2374, 765, 1343, 769, 209, 1886, 1887,
1654, 1503, 771, 772, 774, 1891, 213, 214, 1892, 784,
2377, 788, 2118, 1661, 215, 42, 1347, 217, 1900, 798,
220, 804, 805, 1256, 384, 223, 1350, 814, 815, 816, 1668,
827, 230, 829, 1909, 1910, 1911, 837, 233, 2124, 847,
1357, 851, 855, 1360, 857, 858, 1678, 862, 866, 1681,
1682, 869, 1924, 1484, 1683, 877, 883, 1930, 1932, 890,
239, 892, 1687, 1371, 905, 907, 1938, 910, 911, 914,
245, 920, 922, 925, 2137, 1509, 247, 248, 249, 939,
1699, 1953, 1376, 947, 950, 2255, 1378, 1954, 2256, 253,
1955, 1702, 954, 1380, 962, 1959, 963, 1962, 969, 2386,
2331, 2387, 977, 263, 1970, 1971, 988, 989, 2258, 2388,
2260, 1002, 269, 272, 273, 1983, 1722, 1013, 60, 1725,
1014, 2390, 2151, 61, 1019, 2265, 1023, 1729, 1024,
1025, 1029, 1986, 282, 1032, 2156, 1736, 1996, 1515,
1039, 1406, 65, 2392, 1407, 1040, 290, 1042, 293, 1739,
1048, 1049, 1053, 1054, 2002, 1059, 1060, 1062, 1063,
2005, 1414, 300, 2342, 1072, 1747, 1089, 309, 1096,
1097, 311, 2020, 1751, 1752, 1107, 2029, 1111, 1428,
78
317, 318, 1521, 320, 322, 2345, 1437, 2276, 1129, 1132,
2175, 2347, 1757, 2398, 1145, 1146, 1147, 1151, 1153,
1154, 1760, 405, 1761, 1763, 1450, 2399, 1174, 1452,
414, 1262, 417, 422, 1534, 1266, 2298, 12, 363, 429,
434, 2299, 1540, 91, 442, 93, 95, 448, 2358, 1280, 1546,
101, 467, 1549, 102, 470, 473, 364, 104, 1808, 1809, 14,
1810, 2214, 1811, 1289, 485, 106, 2362, 1290, 486, 1812,
108, 1292, 491, 493, 495, 498, 110, 499, 501, 506, 1814,
2364, 2085, 510, 511, 1560, 513, 116, 1561, 117, 1301,
119, 2366, 123, 527, 528, 1308, 1310, 530, 2311, 132,
537, 133, 134, 137, 139, 1495, 1316, 1496, 544, 545,
1317, 142, 550, 551, 554, 558, 560, 1824, 1583, 567,
1584, 1585, 373, 1322, 149, 150, 1587, 576, 580, 1592,
23, 589, 155, 596, 606, 1594, 1595, 637, 2370, 641, 645,
650, 1499, 657]
• Unknown country: [348, 1237, 1210, 84, 2080, 30, 673,
31, 696, 2373, 35, 749, 752, 764, 208, 45, 828, 232, 848,
860, 1679, 868, 1923, 50, 2384, 1933, 1934, 246, 946, 57,
1510, 252, 1379, 1960, 257, 1000, 274, 275, 1016, 1728,
1985, 62, 286, 289, 64, 2340, 1071, 2393, 2012, 1082,
69, 70, 1420, 2169, 73, 74, 1119, 327, 404, 76, 1802,
2297, 454, 1281, 483, 2084, 488, 494, 497, 111, 2086,
115, 2365, 1567, 125, 370, 2312, 539, 2313, 140, 372,
556, 1833, 2316, 1837]
• Venezuela: [1189, 1190, 1906, 1405]
• Yugoslavia: [1881, 292]
Bibliography
[1] John H. Holland. Genetic algorithms. Scientific American, 267(1):44–50, 1992. ga:Holland92a.
[2] Jarmo T. Alander. An indexed bibliography of genetic algorithms: Years 1957-1993. Art of CAD Ltd.,
Vaasa (Finland), 1994. (over 3000 GA references).
[3] David E. Goldberg, Kelsey Milman, and Christina Tidd. Genetic algorithms: A bibliography. IlliGAL
Report 92008, University of Illinois at Urbana-Champaign, 1992. ga:Goldberg92f.
[4] N. Saravanan and David B. Fogel. A bibliography of evolutionary computation & applications. Technical Report FAU-ME-93-100, Florida Atlantic University, Department of Mechanical Engineering, 1993.
(available via anonymous ftp site magenta.me.fau.edu directory /pub/ep-list/bib file EC-ref.ps.Z)
ga:Fogel93c.
[5] Thomas Bäck. Genetic algorithms, evolutionary programming, and evolutionary strategies bibliographic
database entries. (personal communication) ga:Back93bib, 1993.
[6] Thomas Bäck, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms. Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992. ga:Schwefel92d.
[7] David L. Hull. Uncle Sam wants you. Science, 284(5417):1131–1133, 14. May 1999.
[8] Leslie Lamport. LATEX: A Document Preparation System. User’s Guide and Reference manual. AddisonWesley Publishing Company, Reading, MA, 2 edition, 1994.
[9] Alfred V. Aho, Brian W. Kernighan, and Peter J. Weinberger. The AWK Programming Language. AddisonWesley Publishing Company, Reading, MA, 1988.
[10] Diane Barlow Close, Arnold D. Robbins, Paul H. Rubin, and Richard Stallman. The GAWK Manual.
Cambridge, MA, 0.15 edition, April 1993.
[11] Chu-Kuei Tu and Tseng-Hsien Lin. Applying genetic algorithms on fuzzy logic system for underwater
acoustic signal recognition. In Proceedings of the 2000 International Symposium on Underwater Technology, 2000. UT 00, volume ?, pages 405–410, Tokyo, Japan, 23.-26.May 2000. IEEE, Piscataway, NJ. *
www/IEEE ga00aC-KTu.
[12] G. R. Potty, J. H. Miller, J. F. Lynch, and K. B. Smith. Tomographic inversion for sediments parameters
in shallow water. The Journal of the Acoustical Society of America, 108(3 Pt 1):973–986, ? 2000. *
PubMed ga00aGRPotty.
[13] Trevor J. Cox and Peter D’Antonio. Acoustical treatment with diffusive and absorptive properties and process of design, 2000. (U. S. patent no. 6,112,852. Issued September 5 2000) * fi.espacenet.com ga00aTJCox.
[14] Gopu R. Potty. Broadband nonlinear inversion for geoacoustic parameters in shallow water. PhD thesis,
University of Rhode Island, 2000. †NASA ADS ga00bGRPotty.
[15] Manabu Kotani, M. Ochi, Seiichi Ozawa, and Kenzo Akazawa. Evolutionary discriminant functions using
genetic algorithms with variable-length chromosome. In Proceedings of the International Joint Conference
on Neural Networks (IJCNN’01), volume 1, pages 761–766, Washington, DC, 15.-19. July 2001. IEEE,
Piscataway, NJ. * www /IEEE ga01aManabuKotani.
[16] S. Khajehpour and A. Sarkar. Development of optimally disordered critical random excitation. Journal of
Sound and Vibration, 244(5):871–881, ? 2001. ga01aSKhajehpour.
[17] A. Alvarez, C. Harrison, and M. Siderius. Predicting underwater ocean noise with genetic algorithms.
Physics Letters A, 280(4):215–220, February 2001. †NASA ADS ga01bAlvarez.
[18] Guillaume Dutilleux, Franck C. Sgard, and Ulf R. Kristiansen. Low-frequency assessment of the in situ
acoustic absorption of materials in rooms: an inverse problem approach using evolutionary optimization. International Journal for Numerical Methods in Engineering, 53(9):2143–2161, 30. March 2002.
ga02aGDutilleux.
79
80
[19] J. Kim, Y. Choi, C. Lee, and D. Chung. Implementation of a high-performance genetic algorithm processor
for hardware optimization. IEICE Transactions on Electronics, E85C(1):195–203, January 2002. * ISI
ga02aJKim.
[20] Nan Xie, Henry Leung, and Hing Chan. A multiple model approach for prediction using genetic algorithm.
In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 4, page 4179,
?, 13.-17. May 2002. IEEE, Piscataway, NJ. ga02aNXie.
[21] Kiyoharu Tagawa, Tetsuya Yamamoto, Tsutomu Igaki, and Syunichi Seki. An Imanishian genetic algorithm
for the optimum design of surface acoustic wave filter. In Evolutionary Computation, CEC’03, volume 4,
pages 2748–2755, ?, 8.-12. December 2003. IEEE, Piscataway, NJ. ga03aKTagawa.
[22] Mingsian R. Bai and C. Huang. Optimization and implementation of piezoelectric radiators using the
genetic algorithm. The Journal of the Acoustical Society of America, 113(6):3197–3208, June 2003. *
www /Google ga03aMRBai.
[23] Gopu R. Potty, James H. Miller, Peter H. Dahl, and Colin J. Lazanski. Geoacoustic inversion results
from the ASIAEX East China Sea Experiment. IEEE Journal of Oceanic Engineering, 29(4):1000–1010,
September 2004. ga04aGopuRPotty.
[24] Janne Riionheimo. Parameter estimation of a plucked string synthesis model via the genetic algorithm.
Master’s thesis, Helsinki University of Technology, 2004. †www /TKK ga04aJanneRiionheimo.
[25] Mingsian R. Bai and Yenchih Lu. Optimal implementation of miniature piezoelectric panel speakers using
the Taguchi method and genetic algorithm. Journal of Vibration and Acoustics, 126(?):359–365, July 2004.
ga04aMRBai.
[26] Ying-Chun Chang, Long-Jyi Yeh, and Min-Chie Chiu. Optimization of double-layer absorbers on constrained sound absorption system by using genetic algorithm. International Journal for Numerical Methods
in Engineering, 62(3):317–333, January 2005. * TKKpaa ga05aYing-ChunChang.
[27] B. Fu, T. Hemsel, and J. Wallaschek. Piezoelectric transducer design via multiobjective optimization.
Ultrasonics, 44(?):e747–e752, ? 2006. ga06aBFu.
[28] De-Yi Chiou, Mu-Yueh Chen, Ming-Wei Chang, and Hsu-Cheng Deng. Characterization and optimization
design of the polymer-based capasitive micro-arrayed ultrasonic transducer. Japanese Journal of Applied
Physics, 46(11):7496–7503, ? 2007. ga07aDe-YiChiou.
[29] J. M. Herrero, S. Garcı́a-Nieto, X. Blasco, V. Romero-Garcı́a, J. V. Sánchez-Pérez, and L. M. Garcia-Raffi.
Optimization of sonic crystal attenuation properties by ev-maga multiobjective evolutionary algorithm.
Structural and Multidisciplinary Optimization, 39(2):203–215, August 2009. ga09aJMHerrero.
[30] Altan Turgun. Determination of physical properties of a porous seabed from reflection amplitude data by
using the genetic algorithm. The Journal of the Acoustical Society of America, 96(5):3223–3224, November
1994. †NASA ADS ga94aATurgun.
[31] D. F. Gingras and P. Gerstoft. Inversion of acoustic field data using genetic algorithms: Shallow-water
results. The Journal of the Acoustical Society of America, 96(5):3234, November 1994. †NASA ADS
ga94aDFGingras.
[32] Peter Gerstoft. Inversion of seismoacoustic data using genetic algorithms and a posteriori probability
distributions. Journal of the Acoustical Society of America, 95(2):770–782, February 1994. ga94aGerstoft.
[33] R. S. McGowan. Recovering articulatory movement from formant frequency trajectories using task dynamics and a genetic algorithm: preliminary model tests. Speech Communications, 14(1):19–48, February
1994. * EEA 29559/93 ga94aMcGowan.
[34] D. J. Oneill. Element placement in thinned arrays using genetic algorithms. In Proceedings of the Oceans
Engineering for Todays Technology and Tomorrows Preservation, volume II, pages B301–B306, Brest
(France), ? 1994. IEEE, New York, NY. †P64152 ga94aOneill.
[35] T. J. Hayward and T. C. Yang. Adaptation of genetic-algorithm search for matched-field inversion of ocean
bottom compressional wave speed profiles. The Journal of the Acoustical Society of America, 96(5):3234,
November 1994. †NASA ADS ga94aTJHayward.
[36] Peter Gerstoft. Global inversion by genetic algorithms for both source position and environmental parameters. J. Comput. Acoust. (Singapore), 2(3):251–266, September 1994. †CCA 15194/95 ga94bGerstoft.
[37] Bor-Tsuen Wang. Optimal placement of piezoceramic transducers for active sound radiation control of
baffled simply-supported beam. J. Chin. Soc. Mec. Eng. Trans. Chin. Inst. Eng. Ser. C, 16(4):383–393,
August 1995. * EI M045323/96 ga95aB-TWang.
Bibliography
81
[38] D. Botteldooren. Genetic algorithms in search of cost efficient noise reduction around large plants. Acta
Acust. (France), 3(2):169–184, 1995. †CCA58106/95 ga95aBotteldooren.
[39] Peter Gerstoft. Inversion of acoustic data using a combination of genetic algorithms and the Gauss-Newton
approach. Journal of the Acoustical Society of America, 97(4):2181–2190, April 1995. ga95aGerstoft.
[40] Peng Chen and Toshio Toyota. Extraction method of failure signal by genetic algorithm and the application to inspection and diagnosis robot. IEICE Transactions, E78-A(12):1620–1626, December 1995.
ga95aPChen.
[41] Antonio Concilio, L. Lecce, and A. Ovellesco. Position and number optimization of actuators and sensors
in an active noise control system by genetic algorithms. In Proceedings of the 1st CEAS/AIAA Joint
Aeroacoustics Conference, volume 1, pages 633–642, Munich (Germany), 12.-15. June 1995. Deutsche
Gesellschaft für Luft- und Raumfahrt, Bonn (Germany). †A95-38678 ga95bConcilio.
[42] A. Sterian, P. Runkle, and G. H. Wakefield. Active sensory tuning of windnoise using a genetic algorithm.
In Proceedings of the 1995 International Conference on Acoustics, Speech, and Signal Processing, volume 5,
pages 2967–2970, Detroit, MI, 9.-12. May 1995. IEEE, New York, NY. †EEA13675/95 ga95bSterian.
[43] M. I. Taroudakis and M. G. Markaki. Matched-field ocean acoustic tomography using genetic algorithms.
Acoustical Imaging, 22(?):?, 1995. †P68442 ga95bTaroudak.
[44] Couro Kane and Marc Schoenauer. A drum shape optimisation by genetic algorithms. Complexity International, 2(?):?, April 1995. ga95dKane.
[45] B. G. T. Tan and S. M. Lim. Automatic parameter optimization for double frequency modulation synthesis
using the genetic annealing algorithm. Journal of the Audio Engineering Society, 44(1/2):3–15, 1996.
†[2402] ga96aBGTTan.
[46] Antonio Concilio, Luciano de Vivo, and A. Sollo. A comparison of different strategies for interrior active
noise control by piezoactuators. In Proceedings of the International Conference on noise and Vibration
Engineering, volume 1, pages 247–258, Leuven (Belgium), 18.-20. September 1996. Katholieke Universiteit
Leuven, Heverlee, Belgium. †A97-22209 ga96aConcilio.
[47] P. P. Delsanto, F. Moldoveanu, and M. Scalerandi. A genetic algorithm technique for acoustic tomography.
In Proceedings of the 8th Joint EPS-APS International Conference on Physics Computing, pages 301–
304, Krakow, Poland, 17.-21. September 1996. Acad. Comput. Centre CYFRONET- KRAKOW, Krakow,
Poland. †CCA59284/97 ga96aDelsanto.
[48] M. Hirabayashi.
Optimization of surface-acoustic-wave withdrawal-weighted filters using genetic
algorithms.
Japanese Journal of Applied Physics, Part 1, 35(12A):6188–6190, December 1996.
ga96aHirabayashi.
[49] Jean-Pierre Hermand and Peter Gerstoft. Inversion of broad-band multitone acoustic data from the YELLOW SHARK summer experiments. IEEE Transactions on Oceanic Engineering, 21(4):324–346, October
1996. ga96aJ-PHermand.
[50] Richard S. McGowan. Annealing in a genetic algorithm for task-dynamic recovery from speech acoustics. The Journal of the Acoustical Society of America, 99(4):2472–2500, April 1996. †NASA ADS
ga96aRSMcGowan.
[51] S. Pottie and D. Botteldooren. Optimal placement of secondary sources for active noise-control. In
Proceedings of the 25th Anniversary Congress on Noise Control Engineering, pages 1101–1104, Liverpool,
United Kingdom, jul 30.- aug 2. ? 1996. Inst. Acoustics, St. Albans. †P75401 ga96aSPottie.
[52] Marc T. Simpson and Colin H. Hansen. Use of genetic algorithms for optimising vibration actuator
placement for minimising sound transmission into enclosed spaces. In Proceedings of the Smart Structures
and Integrated Systems, volume SPIE-?, pages 409–421, Bellingham, WA, 26.-29. February 1996. Society
of Photo-Optical Instrumentation Engineers, Bellingham, WA. †A96-38535 ga96aSimpson.
[53] T. Suzuki, K. Ito, P. A. Nelson, and H. Hamada. Searching and identification of noise sources using
genetic algorithm. In Proceedings of the 25th Anniversary Congress on Noise Control Engineering, pages
2815–2820, Liverpool, United Kingdom, jul 30.- aug 2. ? 1996. Inst. Acoustics, St. Albans. †P75401
ga96aTSuzuki.
[54] D. A. Manolas, T. Gialamas, and D. T. Tsahalis. A genetic algorithm for the simultaneous-optimization
of the sensor and actuator positions for an active noise and/or vibration control-system. In Proceedings of
the 25th Anniversary Congress on Noise Control Engineering, page 1187, Liverpool, United Kingdom, jul
30.- aug 2. ? 1996. Inst. Acoustics, St. Albans. †P75401 ga96bManolas.
82
[55] Marc T. Simpson and Colin H. Hansen. Use of genetic algorithms to optimize vibration actuator placement
for active control of harmonic interior noise in a cylinder with floor structure. Noise Control Engineering
Journal, 44(4):169–184, July-August 1996. ga96bSimpson.
[56] Andrew B. Horner and L. Ayers. Common tone adaptive tuning using genetic algorithms. The Journal of
the Acoustical Society of America, 100(1):630–640, July 1996. ga96fABHorner.
[57] Alain Ratle and Alain Berry. Use of genetic algorithms for the vibroacoustic optimization of plates.
The Journal of the Acoustical Society of America, 102(5):3129–3130, November 1997. †NASA ADS
ga97aARatle.
[58] N.-M. Cheung and S. Trautmann. Genetic algorithm approach to head-related transfer-functions modeling
in 3-d sound-system. In Y. Wang, A. R. Reibman, B. H. Juang, T. H. Chen, and S. Y. Kung, editors,
Proceedings of the 1997 IEEE First Workshop on Multimedia Signal Processing, pages 83–88, Princeton,
NJ, 23.-25. June 1997. IEEE, New York, NY. †P76163 ga97aN-MCheung.
[59] M. J. Rendas and G. Bienvenu. Tuning genetic algorithms for underwater acoustics using a priori statistical
information. In Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal
Processing, pages 467–470, Munich (Germany), 21.-24. April 1997. IEEE Computer Society Press, Los
Alimitos, CA. †P75734 ga97aRendas.
[60] H. F. VanLandingham and S. Sampan. Evolutionary algorithms for design. In Proceedings of the IEEE
SOUTHEASTCON 97, pages 191–195, Blacksburg, VA (USA), 12.-14. April 1997. IEEE, New York, NY.
†EEA101465/97 ga97aVanLandingham.
[61] Yang Yang, Yuling Li, and Luise S. Couchman. Solving ray acoustic problems with a DNA computer. The
Journal of the Acoustical Society of America, 101(5):2485–2490, May 1997. ga97aYYang.
[62] Antonio Minguez and Manuel Recuero. A simple genetic algorithm for active noise control. The Journal
of the Acoustical Society of America, 103(5):?, May 1998. †NASA ADS ga98aAMinguez.
[63] Alain Ratle and A. Berry. Use of genetic algorithms for the vibroacoustic optimization of a plate carrying point-masses. Jornal of the Acoustical Society of America, 104(6):3385–3397, 1998. †PA9710/99
ga98aARatle.
[64] D. G. Simons and M. Snellen. Multi-frequency matched-field inversion of benchmark data using a genetic
algorithm. J. Comput. Acoust. (Singapore), 6(1-2):135–150, 1998. †PA32551/99 ga98aDGSimons.
[65] David J. Ferkinhoff and John G. Baylog. Method and apparatus for preforming mutations in a genetic
algorithm-based underwater tracking system, 1998. (U. S. patent no. 5,777,948. Issued July 7 1998; available
via www URL: http://appft1.uspto.gov/netahtml/PTO/search-adv.html) ga98aDJFerkinhoff.
[66] G. J. Heard, D. Hannay, and S. Carr. Genetic algorithm inversion of the 1997 geoacoustic inversion workshop test case data. J. Comput. Acoust. (Singapore), 6(1-2):61–71, 1998. †PA35248/99 ga98aGJHeard.
[67] K. Yamazaki. Experimental study on the identification of the sound source position by using the boundary
element method with the genetic algorithm. J. Acoust. Soc. Jpn. (Japan), 54(6):417–425, 1998. In Japanese
†CCA81867/98 ga98aKYamazaki.
[68] P. Ratilal. Subspace approach to inversion by genetic algorithms involving multiple frequencies. J. Comput.
Acoust. (Singapore), 6(1-2):99–115, 1998. †PA32403/99 ga98aRatilal.
[69] Siska Pottie and Dick Bottelsooren. High degree of freedom muffler optimization using genetic algorithms:
Experimental verification. The Journal of the Acoustical Society of America, 103(5):3004–3005, May 1998.
†NASA ADS ga98aSPottie.
[70] M. Snellen and D. G. Simons. Underwater target localization and estimation of ocean environmental
parameters using a genetic algorithm. In Proceedings of the Fuzzy Logic and Intelligent Technologies for
Nuclear Science and Industry, pages 276–285, Antwerp, Belgium, 14.-16. September 1998. World Scientific
Publ. Co. Pte. Ltd, Singapore. †P83660 ga98aSnellen.
[71] T. Martin and A. Roure. Active noise control of acoustic sources using spherical harmonics expansion and a
genetic algorithm: simulation and experiment. J. Sound Vib. (UK), 212(3):511–523, 1998. †CCA52026/98
ga98aTMartin.
[72] V. Westerlin. Multi-frequency inversion of synthesis transmission loss data using a genetic algorithm. J.
Comput. Acoust. (Singapore), 6(1-2):205–221, 1998. †PA32555/99 ga98aWesterli.
[73] Corinne Fillol and Claude P. Legros. The genetic algorithms for the optimization of distributed loudspeaker
systems. The Journal of the Acoustical Society of America, 105(2):1316, February 1999. †NASA ADS
ga99aCFillol.
Bibliography
83
[74] Dick G. Simons and Mirjam Snellen. Broadband inversion of shallow-water range-dependent acoustic data
using a genetic algorithm. The Journal of the Acoustical Society of America, 105(2):1310, February 1999.
†NASA ADS ga99aDGSimons.
[75] James Cunha Werner. Programação Genética + Algoritmo Genético = CONTROLE GENETICO [Genetic Programming + Genetic algorithm = Genetic Control]. PhD thesis, University of Sao Paulo,
Laboratorio de Dinamica de sistemas e Controle, 1999. (in Portuguese; available via www URL:
http://puck.mcca.ep.usp.br/ jamwer/) * Internet /Werner ga99aJCWerner.
[76] Slawomir K. Zielinski. A method for echo cancellation in audio signals using the genetic algorithm. The Journal of the Acoustical Society of America, 105(2):1100, February 1999. †NASA ADS
ga99aSKZielinski.
[77] T. Olofsson and T. Steponski. Maximum a posteriori deconvolution of sparse ultrasonic signals using
genetic optimization. Ultrasonics, 37(6):423–432, September 1999. * PubMed10579031 ga99aTOlofsson.
[78] Innesa L. Bukatova and Yu. I. Mikhasev. Evolutionary multiseries algorithm of restoring of incomplete
acoustics data. In ?, editor, Proceedings of the Fifth Symposium on Acoustics and Statistical Models of
Ocean, pages 59–62, ?, ? 1985. Academy of Sciences of the USSR, Institute of Acoustics. (in Russian)
†Bukatova ga:Bukatova85b.
[79] David B. Fogel and Lawrence J. Fogel. Evolutionary ocean modelling: Ocean acoustics transformations.
Final Report Contract No. N66001-88-D-0015, Naval Ocean Systems Center, 1990. †Fogel ga:Fogel90n.
[80] David B. Fogel. Evolutionary modeling of underwater acoustics. In Proceedings of OCEANS91, volume 1,
pages 453–457, Honolulu, HI, October 1991. IEEE. †Fogel/bib ga:Fogel91d.
[81] David B. Fogel. Using evolutionary programming for modeling: An ocean acoustic example. IEEE Journal
of Oceanic Engineering, 17(4):333–340, 1992. ga:Fogel92a.
[82] R. Lerch. Simulation von Ultraschall-wandlern.
ga:Lerch85a.
ACOUSTICA, 57(?):205–217, 1985.
†BackBib
[83] Masahiro Inohara, Masamoto Tanaka, and Misao Hashimoto. Measurement of elastic moduli by rectangular
parallelepiped resonance method. Japanese Journal of Applied Physics, 31(31-1 Supplement):41–43, ? 1996.
ga:MInohara92a.
[84] Richard S. McGowan. Recovering articulator trajectories using task dynamics and a genetic algorithm. The
Journal of the Acoustical Society of America, 92(4):2477, October 1992. †NASA ADS ga:RSMcGowan92a.
[85] K. C. Sharman and G. D. McClurkin. Genetic algorithms for maximum likelihood parameter estimation.
In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, volume 4,
pages 2716–2719, Glasgow (UK), 23.-26. May 1989. IEEE, New York. * ga:Sharman89.
[86] Jarmo T. Alander. Indexed bibliography of genetic algorithms in acoustics. Report 94-1-ACOUSTICS,
University of Vaasa, Department of Electrical Engineering and Automation, 2008. (available via anonymous
ftp site ftp.uwasa.fi directory cs/report94-1 file gaACOUSTICSbib.pdf) gaACOUSTICSbib.
[87] Daijin Kim and Sung-Yang Bang. A handwritten numeral character classification using tolerant rough
set. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(9):923–937, September 2000.
ga00aDKim.
[88] G. Rovithakis, M. Maniadakis, and M. Zervakis. A genetically optimised artificial neural network structure
for feature extraction and classification of vascular tissue fluorescence. In V. Cantoni and C. Guerra, editors,
Fifth IEEE International Workshop on Computer Architectures of Machine Perception, volume ?, pages
107–111, Padova, Italy, 11.-13.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aGRovithakis.
[89] H. Treugut, M. Koppen, B. Nickolay, R. Fuss, and P. Schmid. [Kirlian photography: accidental or personspecific pattern]. Forschung Komplementarmedizin Klass Naturheilkd, 7(1):12–16, ? 2000. * PubMed
ga00aHTreugut.
[90] Krzysztof A. Cyran, Leszek R. Jaroszewicz, and Adam Mrozek. Optical fiber and genetically optimised
computer-generated hologram force detection and classification. In Wieslaw L. Wolinski and Zdzislaw
Jankiewicz, editors, Laser Technology VI: Applications, volume SPIE-4238, pages 234–238, ?, November
2000. The International Society for Optical Engineering. * www/SPIE Web ga00aKCyran.
[91] Kannappan Palaniappan, Feng Zhu, Xianhua Zhuang, Yunxin Zhao, and Andrew Blanchard. Enhanced
binary tree genetic algorithm for automatic land cover classification. In IEEE 2000 International Geoscience and Remote Sensing Symposium. IGARSS 2000, volume 2, pages 688–692, Honolulu, HI, USA,
24.-28.July 2000. IEEE, Piscataway, NJ. ga00aKPalaniappan.
84
[92] K. Z. Mao, K.-C. Tan, and W. Ser. Probabilistic neural-network structure determination for pattern
classification. IEEE Transactions on Neural Networks, 11(4):1009–1016, July 2000. ga00aKZMao.
[93] Mitchell A. Potter and Kenneth A. De Jong. Cooperative coevolution: An architecture for evolving
coadapted subcomponents. Evolutionary Computation, 8(1):1–29, ? 2000. ga00aMAPotter.
[94] Martijn C. J. Bot. Improving induction of linear classification trees with genetic programming. pages
403–410, 2000. ga00aMCJBot.
[95] Michael L. Raymer, William F. Punch, III, Erik D. Goodman, Leslie A. Kuhn, and A. K. Jain. Dimensionality reduction using genetic algorithms. IEEE Transactions on Evolutionary Computation, 4(2):164–171,
July 2000. * ga00aMLRaymer.
[96] Max Mignotte, Christophe Collet, and Patrick Pérez Bouthemy. Hybrid genetic optimization and statistical
model-based approach for the classification of shadow shapes in sonar imagery. IEEE Transactions on
Pattern Analysis and Machine Intelligence, 22(2):129–141, February 2000. ga00aMMignotte.
[97] Magne Setnes and Hans Roubos. GA-fuzzy modeling and classification: complexity and performance.
IEEE Transactions on Fuzzy Systems, 8(5):509–522, October 2000. ga00aMSetnes.
[98] Pak C. Li, Nicolino Pizzi, Witold Pedrycz, Dave Westmore, and Rodrigo A. Vivanco. Severe storm cell
classification using derived products optimised by genetic algorithms. In R. W. Creighton and J. Ilow,
editors, Canadian Conference on Electrical and Computer Engineering, 2000, volume 1, pages 445–448,
Halifax, NS, Canada, 7.-10.March 2000. IEEE, Piscataway, NJ. * ga00aPCLi.
[99] P. C. W. Beatty, A. Pohlmann, and T. Dimarki. Shape-only identification of breathing system failure. In
Proceedings of the 2nd Annual International Conference of the IEEE Engineering in Medicine and Biology
Society, volume 2, pages 982–984, Chigago, IL, 23.-26. July 2000. IEEE, Piscataway, NJ. * www /IEEE
ga00aPCWBeatty.
[100] Pak C. Li, Nicolino Pizzi, Witold Pedrycz, Dave Westmore, and Rodrigo Vivanco. Severe storm cell
classification using derived products optimized by genetic algorithms. In ?, editor, Proceedings of the
2000 IEEE Canadian Conference on Electrical and Computer Engineering, page ?, ?, ? 2000. IEEE.
ga00aPakCLi.
[101] Simon Perkin, James Theiler, Steven P. Brumby, Neal Harvey, Reid Porter, John J. Szymanski, and
Jeffrey J. Bloch. GENIE: A hybrid genetic algorithm for feature classification in multi-spectral images.
In ?, editor, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
III, volume SPIE-4120, pages 52–62, San Diego, CA, July 31. August 1. 2000. The International Society
for Optical Engineering, Bellingham, WA. ga00aSimonPerkin.
[102] Venu Govindaraju, Zhixin Shi, and A. Teredesai. Secondary classification using key features. In Paul B.
Kantor, Daniel P. Lopresti, and Jiangying Zhou, editors, Document Recognition and Retrieval VIII, volume
SPIE-4307, pages 272–279, ?, December 2000. The International Society for Optical Engineering. *
www/SPIE Web ga00aVGovindaraju.
[103] Yungcheol Byun, Yeongwoo Choi, Gyungwhan Kim, and Yillbyung Lee. Partial matching: an efficient
form classification method. In Paul B. Kantor, Daniel P. Lopresti, and Jiangying Zhou, editors, Document
Recognition and Retrieval VIII, volume SPIE-4307, pages 341–352, ?, December 2000. The International
Society for Optical Engineering. * www/SPIE Web ga00aYByun.
[104] Erick Cantú-Paz and Chandrika Kamath. Combining evolutionary algorithms with oblique decision trees
to detect bent-double galaxies. In ?, editor, Applications and Science of Neural Networks, Fuzzy Systems,
and Evolutionary Computation III, volume SPIE-4120, pages 63–71, San Diego, CA, July 31. August 1.
2000. The International Society for Optical Engineering, Bellingham, WA. * A01-10408 ga00bCantu-Paz.
[105] Mohammed Zaki, Abdallah El-Ramsisi, and Rostom Omran. A genetic aggregate stereo algorithm for 3-D
classification of occluded shapes. Pattern Recognition Letters, 21(5):349–363, ? 2000. ga00bMZaki.
[106] Ben Hitt. Heuristic method of classification, 2001. (WO patent no. 0199043. Issued December 27 2001) *
fi.espacenet.com ga01aBHitt.
[107] C. A. Perez, C. Salinas, and P. Estevez. Designing biologically inspired receptive fields for neural pattern
recognition technology. In Proceedings of the 2001 IEEE International Conference on System, Man, and
Cybernetics, volume 1, pages 58–63, Tuczon, AZ, 7.-10 October 2001. IEEE, Piscataway, NJ. * www
/IEEE ga01aCAPerez.
[108] Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, and Lawrence Carin. Genetic algorithm
wavelet design for signal classification. IEEE Transactions on Pattern Analysis and Machine Intelligence,
23(8):890–895, August 2001. ga01aEJones.
Bibliography
85
[109] James D. Shaffer. Multi-feature combination generation and classification effectiveness evaluation using
genetic algorithms, 2001. (WIPO patent no. WO 01/59610. Issued August 16 2001) ga01aJDShaffer.
[110] Jonathan Moody and Ricardo Silva. Data filtering for automatic classification of rocks from reflectance
spectra. In ?, editor, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining, pages 347–352, San Francisco, CA, ? 2001. ACM, New York. * www /ACM
ga01aJonathanMoody.
[111] M. F. Jefferson, S. Burlinson, A. Burns, D. Mann, S. Pickering-Brown, F. Owen, C. Sriwardhana, N. Pendleton, and M. A. Horan. Clinical features of dementia associated with apolipoprotein epsilon4: Discrimination with a neural network genetic algorithm. International Journal of Geriatric Psychiatry, 16(1):77–81,
January 2001. * ISI PsycINFO 2001-14382-009 ga01aMFJefferson.
[112] Oscar Cordón, Francisco Herrera, M. J. del Jesus, and Pedro Villar. A multiobjective genetic algorithm
for feature selection and granularity learning in fuzzy-rule based classification systems. In M. H. Smith,
W. A. Gruver, and L. O. Hall, editors, Joint 9th IFSA World Cingress and 20th NAFIPS International
Conference, volume 3, pages 1253–1258, Vancouver, BC, Canada, 25.-28.July 2001. IEEE, Piscataway, NJ.
* www/IEEE ga01aOCordon.
[113] Paul Cairns, Christian Huyck, Ian Mitchell, and Wendy Xihyu Wu. A comparison of categorisation algorithms for predicting the cellular localization sites of proteins. In Proceedings of the 12th International
Workshop on Database and Expert Systems Applications, pages 296–300, Munich (Germany), 3.-7. September 2001. IEEE, Piscataway, NJ. ga01aPaulCairns.
[114] Carlos Andrés Peña-Reyes and Moshe Sipper. Fuzzy CoCo: A cooperative-coevolutionary approach to
fuzzy modeling. IEEE Transactions on Fuzzy Systems, 9(5):727–737, October 2001. ga01aPena-Reyes.
[115] Richard O. Duda, Peter E. Hart, and David G. Stork. Chapter 7.5 Evolutionary Methods, pages 373–378.
Wiley-Interscience Publications, New York, NY, 2001. †TKKpaa ga01aRODuda.
[116] Simon J. Perkins, Neal R. Harvey, Steven P. Brumby, and Kevin Lacker. Support vector machines for
broad-area feature classification in remotely sensed images. In Sylvia S. Shen and Michael R. Descour,
editors, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, volume SPIE-4381,
pages 286–295, ?, August 2001. The International Society for Optical Engineering. * www/SPIE Web
ga01aSJPerkins.
[117] S. Sathyanath and F. Sahin. An AIS approach to a color image classification problem in a real time
industrial application. In Proceedings of the 2001 IEEE International Conference on System, Man, and
Cybernetics, volume 4, pages 2285–2290, Tuczon, AZ, 7.-10 October 2001. IEEE, Piscataway, NJ. * www
/IEEE ga01aSSathyanath.
[118] Shinji Chiba, Ken Sugawara, and Toshinori Watanabe. Classification and function estimation of protein
by using data compression and genetic algorithms. In Proceedings of the 2001 Congress on Evolutionary
Computation, volume 2, pages 839–844, Seoul (South Korea), 27.-30. May 2001. IEEE, Piscataway, NJ.
ga01aShinjiChiba.
[119] Shubhankar Ray and Andrew Chan. Automatic feature extraction from wavelet coefficients using genetic
algorithms. In Proceedings of the 2001 IEEE Signal Processing Society Workshop, Neural Networks for
Signal processing XI, pages 233–241, North Falmouth, MA, 10.-12. September 2001. IEEE, Piscataway,
NJ. ga01aShubhankarRay.
[120] Walker H. Land, Timothy D. Masters, Joseph Y. Lo, and Dan McKee. Application of adaptive boosting
to EP-derived multilayer feed-forward neural networks MLFN to improve benign/malignant breast cancer
classification. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing,
volume SPIE-4322, pages 1717–1724, ?, July 2001. The International Society for Optical Engineering. *
www/SPIE Web ga01aWHLand.
[121] Yungcheol Byun, Sungsoo Yoon, Yeongwoo Choi, Gyeonghwan Kim, and Yillbyung Lee. An efficient form
classification method using partial matching. In M. Stumptner, D. Corbett, and M. Brooks, editors, AI
2001: Advances in Artificial Intelligence, 14th International Joint Conference on Artificial Intelligence,
volume LNCS of 2256, pages 95–106, Adelaide (Australia), 10.-14. December 2001. Springer-Verlag Berlin
Heidelberg. * www /Springer ga01aYByun.
[122] Zümray Dokur and Tamer Ölmez. ECG beat classification by a novel hybrid neural network. Computer
Methods and Programs in Biomedicine, 66(?):167–181, ? 2001. ga01aZDokur.
[123] Barry K. Lavine, C. E. Davidson, Anthony J. Moores, and P. R. Griffiths. Raman spectroscopy and
genetic algorithms for the classification of wood types. Applied Spectroscopy, 55(8):960–966, August 2001.
†Lestander ga01bBarryKLavine.
86
[124] C. A. Perez, G. D. Gonzalez, and C. Salinas. Genetic selection of non-linear product terms in the input
to a linear classifier for handwritten digit recognition. In Proceedings of the 2001 IEEE International
Conference on System, Man, and Cybernetics, volume 4, pages 2337–2342, Tuczon, AZ, 7.-10 October
2001. IEEE, Piscataway, NJ. * www /IEEE ga01bCAPerez.
[125] Richard O. Duda, Peter E. Hart, and David G. Stork. Chapter 7.6 Genetic programming, pages 373–378.
Wiley-Interscience Publications, New York, NY, 2001. †TKKpaa ga01bRODuda.
[126] Sanghamitra Bandyopadhyay and Sankar K. Pal. Pixel classification using variable string genetic algorithms with chromosome differentiation. IEEE Transactions on Geoscience and Remote Sensing, 39(2):303–
308, February 2001. ga01cSBandyopadhyay.
[127] C. C. Wong and C. C. Chen. Fuzzy system design by a GA-based method for data classification. Cybernetics
and Systems, 33(3):253–270, April-May 2002. †ISI ga02aCCWong.
[128] Claudio De Stefano, Antonio Della Cioppa, and A. Marcelli. Character preclassification based on genetic
programming. Pattern Recognition Letters, 23(12):1439–1448, October 2002. ga02aCDeStefano.
[129] Davide Agnelli, Alessandro Bollini, and Luca Lombardi. Image classification: an evolutionary approach.
Pattern Recognition Letters, 23(1-3):303–309, January 2002. ga02aDavideAgnelli.
[130] Elmo M. A. Diederiks. Method and system for determining a user profile, 2002. (WO patent no. 0209427.
Issued January 31 2002) * fi.espacenet.com ga02aEMADiederiks.
[131] J. Estévez, S. Alayón, L. Moreno, R. Aguilar, and J. Sigut. Cytological breast fine needle aspirate images
analysis with a genetic fuzzy finite state machine. In ?, editor, Proceedings of the 15th IEEE International
Symposium on Computer-Based Medical Systems, pages 21–26, ?, 4.-7. June 2002. IEEE Computer Society,
Piscataway, NJ. ga02aJEstevez.
[132] M. Anandarajan. Profiling Web usage in the workplace: A behavior-based artificial intelligence approach.
Journal of Management Information Systems, 19(3):243–266, Summer 2002. * ISI ga02aMAnandarajan.
[133] Neil R. Harvey, James Theiler, Steven P. Brumby, Simon Perkins, John J. Szymanski, Jeffrey J. Bloch,
Reid B. Porter, Mark Galassi, and A. Cody Young. Comparison of GENIE and conventional supervised
classifiers for multispectral image feature extraction. IEEE Transactions on Geoscience and Remote Sensing, 40(2):393–404, February 2002. ga02aNRHarvey.
[134] N. Xiong, L. Litz, and H. Ressom. Learning premises of fuzzy rules for knowledge acquisition in classification problems. Knowledge and Information Systems, 4(1):96–111, ? 2002. * www /Springer ga02aNXiong.
[135] Regina Célia Coelho, Vito Di Gesú, Giosué Lo Bosco, Júlia Sawaki Tanaka, and Cesare Valenti. Shapebased features for cat ganglion retinal cells classification. Real-Time Imaging, 8(?):213–226, ? 2002.
ga02aRCCoelho.
[136] Ramaswamy Palaniappan, Paramesran Raveendran, and Sigeru Omatu. VEP optimal channel selection
using genetic algorithm for neural classification of alcoholics. IEEE Transactions on Neural Networks,
13(2):486–491, March 2002. ga02aRPalaniappan.
[137] R. S. Sexton, R. A. Johnson, and M. A. Hignite. Predicting Internet/e-commerce use. Internet ResearchElectronic Networking Applications and Policy, 12(5):402–410, 2002. * ISI ga02aRSSexton.
[138] S. M. Chen and Y. C. Chen. Automatically constructing membership functions and generating fuzzy rules
using genetic algorithms. Cybernetics and Systems, 33(8):841–862, December 2002. †ISI ga02aSMChen.
[139] Steven P. Brumby, James P. Theiler, Jeffrey J. Bloch, Neal R. Harvey, Simon J. Perkins, John J. Szymanski,
and Aaron C. Young. Evolving land cover classification algorithms for multispectral and multitemporal
imagery. In Michael R. Descour and Sylvia S. Shen, editors, Imaging Spectrometry VII, volume SPIE-4480,
pages 120–129, ?, January 2002. The International Society for Optical Engineering. * www/SPIE Web
ga02aSPBrumby.
[140] Thomas E. McKee. Genetic}programming and rough sets: A hybrid approach to bankruptcy classification.
European Journal of Operational Research, 138(2):436–451, April 2002. †www /Elsevier ga02aTMcKee.
[141] Ivanoe De Falco, Antonio Della Cioppa, and E. Tarantino. Discovering interesting classification rules with
genetic programming. Applied Soft Computing, 1(?):257–269, ? 2002. ga02bIDeFalco.
[142] Steven P. Brumby, Steven Koch, and Leslie A. Hansen. Evolutionary computation and post wildfire
land-cover mapping with multispectral imagery. In Manfred Ehlers, editor, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, volume SPIE-4545, pages 174–183, Toulouse (France),
18.-21. September 2001 2002. The International Society for Optical Engineering. * www/SPIE Web
ga02bSPBrumby.
Bibliography
87
[143] James Cunha Werner and Tatiana Kalganova. Disease modeling using evolved discriminate function.
In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto Costa, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lecture Notes in Computer Science, pages 465–474, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin.
ga03aJCWerner.
[144] Matthew G. Smith and Larry Bull. Feature construction and selection using genetic programming and a
genetic algorithm. In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and
Ernesto Costa, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume
2610 of Lecture Notes in Computer Science, pages 229–237, Essex (UK), 14.-16. April 2003. Springer-Verlag,
Berlin. ga03aMatthewGSmith.
[145] Reinhard Meusinger and Uwe Himmelreich. Chapter 10. neural networks and genetic algorithms applications in nuclear magnetic resonance (NMR) spectroscopy. In Riccardo Leardi, editor, Nature-inspired
Methods in Chemometrics and Artificial Neural Networks, pages 281–322. Elsevier, Amsterdam, 2003.
†TKKpaa ga03aRMeusinger.
[146] Roberto Todeschini, Viviana Consonni, Andrea Mauri, and Manuela Pavan. Chapter 5. MobyDigs: Software for regression and classification models by genetic algorithms. In Riccardo Leardi, editor, Natureinspired Methods in Chemometrics and Artificial Neural Networks, pages 141–168. Elsevier, Amsterdam,
2003. †TKKpaa ga03aRTodeschini.
[147] Shu-Chen Cheng and Yueh-Min Huang. A novel approach to diagnose diabetes based on the fractal
characteristics of retinal images. IEEE Transactions on Information Technology in Biomedicine, 7(3):163–
170, September 2003. ga03aShu-ChenCheng.
[148] Thomas Loveard. Genetic programming with meta-search: searching for a successful population within the
classification domain. In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and
Ernesto Costa, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume
2610 of Lecture Notes in Computer Science, pages 119–129, Essex (UK), 14.-16. April 2003. Springer-Verlag,
Berlin. ga03aTLoveard.
[149] Zhiwei Fu, Bruce Golden, Shreevardhan Lele, S. Raghavan, and Edward Wasil. Genetically engineered
decision trees: population diversity produces smarter trees. Operations Research, 51(6):894–907, NovemberDecember 2003. ga03aZhiweiFu.
[150] D. J. Berndt, A. Watkins, L. Johnson, K. Aebischer, and J. Fisher. Using genetic algorithms and decision
tree induction to classify software fault. In Proceedings of the 8th INFORMS Conference on Information
Systems and Technology (CIST 2003), volume ?, page ?, Atlanta, GA, 18.-19. 2003. INFORMS. †[2403]
ga03bDJBerndt.
[151] Bradley Ferguson. Three Dimensional T-ray Inspection Systems. PhD thesis, University of Adelaide,
School of Electrical and Electronic Engineering, 2004. * www /Google ga04aBFerguson.
[152] Bahram Hemmateenejad and Mojtaba Shamsipur. Quantitative structure-electrochemistry relationship
study of some organic compounds using PC-ANN and PCR. Internet Electronic Journal of Molecular
Design, 3(6):316–334, June 2004. ga04aBHemmateenejad.
[153] Du-Yih Tsai, Yongbum Lee, Masaru Sekiya, and Masaki Ohkubo. Medical image classification using
genetic-algorithm based fuzzy-logic approach. Journal of Electronic Imaging, 13(4):780–788, October 2004.
* www /Google ga04aDu-YihTsai.
[154] Erkki Tomppo and Merja Halme. Using coarse scale forest variables as ancillary information and weighting
of variables in k-NN estimation: a genetic algorithm approach. Remote Sensing of Environment, 92(1):1–
20, ? 2004. ga04aErkkiTomppo.
[155] Richard E. Haskell, Charles Lee, and Darrin M. Hanna. Geno-fuzzy classification trees. Pattern Recognition,
37(8):1653–1659, August 2004. ga04aREHaskell.
[156] Bahram Hemmateenejad. Optimal QSAR analysis of the carcinogenic activity of drugs by correlation ranking and genetic algorithm-based PCR. Journal of Chemometrics, 18(?):475–485, ? 2004.
ga04bBHemmateenejad.
[157] Adrian Costas and Iulian Nastac. Assessing the predictive performance of artificial neural networkbased classifiers based on different data preprocessing methods, distributions and training mechanisms.
Intelligent Systems in Accounting, Finance & Management, 13(4):217–250, ? 2005. †www /Google
ga05aAdrianCostas.
88
[158] J. Estévez, S. Alayón, L. Moreno, J. Sigut, and R. Aguilar. Cytological image analysis with a genetic fuzzy
finite state machine. Computer Methods and Programs in Biomedicine, 80(Supplement 1):S3–S15, ? 2005.
ga05aJEstevez.
[159] Louise C. Kenny, Warwick B. Dunn, David I. Ellis, Jenny Myers, Philip N. Baker, and Douglas B. Kell.
Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning. Metabolomics,
1(3):227–234, July 2005. ga05aLCKenny.
[160] Li Pan and Hong Zheng. A simplex-genetic hybrid approach for the classification of image textures. In
Proceedings of the International Conference on Neural Networks and Brain ICNN&B’05, volume 2, pages
1192–1196, ?, 13.-15. October 2005. IEEE, Piscataway, NJ. ga05aLiPan.
[161] Yi-Chung Hu. A new fuzzy-data mining method for pattern classification by principal component analysis.
Cybernetics and Systems, 36(5):527–547, July-August 2005. * www /ingenta ga05aYi-ChungHu.
[162] Demetris Stathakis and Athanassios Vasilakos. Comparison of computational intelligence based classification techniques for remotely sensed optical image classification. IEEE Transactions on Geoscience and
remote Sensing, 44(8):2305–2318, August 2006. ga06aDStathakis.
[163] M. Annunziato, I. Bertini, R. Iannone, and S. Pizzuti. Evolving feed-forward neural networks through
evolutionary mutation parameters. In ?, editor, Proceedings, Intelligent Data Engineering and Automated
Learning, IDEAL 2006, volume 4224 of Lecture Notes in Computer Science, pages 554–561, ?, ? 2006.
Springer-Verlag, Heidelberg. †www /ISI Springer ga06aMAnnunziato.
[164] Nabeel Hashem Kaghed, Tawfiq A. Abbas, and Samaher Hussein Ali. Design and implementation of
classification system for satellite images based on soft computing techniques. In Proceedings of the 2nd
International Conference on Information and Communication Technologies ICTTA’06, volume 1, pages
430–436, ?, 24.-28. April 2006. IEEE, Piscataway, NJ. ga06aNHKaghed.
[165] Swagatam Das, Amit Konar, and Uday Chakraborty. Automatic fuzzy segmentation of images with
differential evolution. In Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages
2026–2033, Vancouver, BC, 16.-21. July 2006. IEEE, Piscataway, NJ. ga06aSDas.
[166] Yakoub Bazi and Farid Melgani. Toward an optimal SVM classification system for hyperspectral remote
sensing images. IEEE Transactions on Geoscience and Remote Sensing, 44(11):3374–3385, November 2006.
ga06aYBazi.
[167] Frieke M. B. Van Coillie, Lieven P. C. Verbeke, and Robert R. De Wulf. Feature selection by genetic
algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium.
Remote Sensing of Environment, 110(?):476–487, ? 2007. ga07aFMBVanCoillie.
[168] Mohamad Awad, Kacem Chehdi, and Ahmad Nasri. Multicomponent image segmentation using a genetic
algorithm and artificial neural network. IEEE Geoscience and Remote Sensing Letters, 4(4):571–575,
October 2007. ga07aMAwad.
[169] Michael Häfner, Leonhard Brunauer, Hannes Payer, Robert Resch, Friedrich Wrba, Alfred Gangl, Andreas
Vécsei, and Andreas Uhl. Pit pattern classification of zoom-endoscopical colon images using DCT and
FFT. In ?, editor, Proceedings of the 20th IEEE International Symposium on Computer-Based Medical
Systems, pages 159–164, ?, 20.-22. June 2007. IEEE Computer Society, Piscataway, NJ. ga07aMHafner.
[170] Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, and Jeremy R. Playfer.
Diagnosis of Parkinson’s disease using evolutionary algorithms. Genetic Programming and Evolvable Machines, 8(4):433–447, December 2007. ga07bSLSmith.
[171] Ming-Hseng Tseng, Sheng-Jhe Chen, Gwo-Haur Hwang, and Ming-Yu Shen. A genetic algorithm rule-based
approach for land-cover classification. ISPRS Journal of Photogrammetry & Remote Sensing, 63(2):202–
212, March 2008. ga08aMing-HsengTseng.
[172] Nikolaos E. Mitrakis, Charalampos A. Topaloglou, Thomas K. Alexandridis, and John B. Theocharis.
Decision fusion of GA self-organizing neuro-fuzzy multilayered classifiers for land cover classification using
textural and spectral features. IEEE Transactions on Geoscience and Remote Sensing, 46(7):2137–2152,
July 2008. ga08aNEMitrakis.
[173] Patrick E. Dessert. Anomaly detection in data using neural networks with natural selection. In Dennis W.
Ruck, editor, Science of Artificial Neural Networks, volume SPIE-1710, pages 725–733, ?, July 1992. The
International Society for Optical Engineering. * www/SPIE Web ga92aPEDessert.
[174] C. F. Eick, Y.-J. Kim, and N. Secomandi. Enhancing diversity for a genetic algorithm learning environment
for classification tasks. In Proceedings of the International Conference on Tools with Artificial Intelligence,
pages 820–823, New Orlearns, LA, 6.-9.November 1994. IEEE Computer Society Press, Los Alamitos, CA.
†CCA 3702/95 ga94aEick.
Bibliography
89
[175] S. Finnerty and S. Sen. Simulated annealing based classification. In ?, editor, Proceedings of the 6th IEEE
Conference on Tools with Artificial Intelligence (TAI’94), pages 824–827, New Orleans, LA, 6.-9. November
1994. IEEE Computer Society Press, Los Alamitos, CA. †CCA 241/95 ga94aFinnerty.
[176] Hisao Ishibuchi, Ken Nozaki, Naohisa Yamamoto, and Hideo Tanaka. Acquisition of fuzzy classification
knowledge using genetic algorithms. In FuzzyIEEE94 [2404], pages –. ga94aIshibuchi.
[177] Silvia Luchian, Henri Luchian, and Mihail Petriuc. Evolutionary automated classification. In ICEC’94
[2405], pages 585–588. ga94aLuchian.
[178] Mark S. Johnson, John P. Overington, Yvonne Edwards, Alex C. W. May, and Michael A. Rodionov.
The comparison of structures and sequences: alignment, searching and the detection of common folds.
In Proceedings of the 27th Hawaii International Conference on System Sciences, Biotehnology Computing
1994, volume V, pages 296–305, Wailea, HI, 4.-7. January 1994. IEEE, Piscataway, NJ. ga94aMSJohnson.
[179] Brij Masand. Advances in genetic programming. In Kinnear, Jr. [2406], chapter 21. Optimizing confidence
of text classification by evolution of symbolic expressions, pages 445–458. †cessu ga94aMasand.
[180] Roger S. Gaborski, Peter G. Anderson, David G. Tilley, and Christopher T. Asbury. Constructing classification weights matrices for pattern recognition systems using rediced element feature subsets, 1994. (U.
S. patent no. 5,479,523. Issued March 16 1994) ga94aRSGaborski.
[181] Mateen M. Rizki, Louis A. Tamburino, and Michael A. Zmuda. E-MORPH: A two-phased learning system for evolving morphological classification systems. In Sebald and Fogel [2407], page ? †conf.prog
ga94aRizki.
[182] M. Sakurai, Y. Kurihara, and S. Karasawa. Color classification using fuzzy inference and genetic algorithm.
In FuzzyIEEE94 [2404], pages –. ga94aSakurai.
[183] Riyaz Sikora and Michael J. Shaw. A double-layered learning approach to acquiring rules for classification:
integrating genetic algorithm with similarity-based learning. ORSA Journal on Computing, 6(2):174–187,
Spring 1994. * CCA 63084/94 ga94aSikora.
[184] Lisong Wang, Lei Zhang, H. Itoh, and H. Seki. An acquisition method of fuzzy classification rules based on
genetic algorithm. In Proceedings of the 3rd Pecific Rim International Conference on Artificial Intelligence,
volume 1, pages 403–408, Beijing (China), 15.-18. August 1994. Princeton University Press, Princeton.
†CCA 49198/95 ga94aWang.
[185] Patrick Argos and Thomas Dandekar. Delineating the mainchain topology of four-helix bundle proteins
using the genetic algorithm and knowledge based on the amino acid sequence alone. In Henrik Bohr and
Søren Brunak, editors, Protein Structure by Distance Analysis, pages 302–314. IOS Press, Amsterdam,
1994. (Symposium on Distance based Approaches to Protein Structure Determination, Lyngby (Denmark),
23.-26. Nov, 1993) ga94bArgos.
[186] Arthur Leo Corcoran, III and Sandip Sen. Using real-valued genetic algorithms to evolve rule sets for
classification. In ICEC’94 [2405], pages 120–124. ga94bCorcoran.
[187] C. F. Eick and E. Tote. Evaluation and enhancement of bayesian rule-sets in a genetic algorithm learning
environment for classification tasks. In Proceedings of the 8th International Symposium, ISMIS’94., pages
366–375, Charlotte, 16.-19. October 1994. ISMIS’94. †CCA 44230/95 ga94bEick.
[188] Hisao Ishibuchi, Ken Nozaki, Naohisa Yamamoto, and Hideo Tanaka. Construction of fuzzy classification
systems with rectangular fuzzy rules using genetic algorithms. Fuzzy Sets and Systems, 65(2-3):237–253,
10. August 1994. * EI M028749/95 CCA 76184/94 ga94bIshibuchi.
[189] Aaron H. Konstam. N-group classification using genetic algorithms. In Ed Deaton, Dave Oppenheim,
Joseph Urban, and Hal Berghel, editors, Proceedings of the 1994 ACM Symposium on Applied Computing,
pages 212–216, Phoenix, AZ, 6.-8. March 1994. ACM. † ga94bKonstam.
[190] Don E. Waagen, M. D. Parsons, John R. McDonnell, and J. D. Argast. Evolving multivariate mixture
density estimates for classification. In ?, editor, Neural and Stochastic Methods in Image and Signal
Processing III, volume SPIE-2304, page ?, San Diego, CA, 28. -29. July 1994. The International Society
for Optical Engineering. ga94bWaagen.
[191] Hisao Ishibuchi, Hiroyuki Yamamoto, and Hideo Tanaka. Performance evaluation of a GA-based method
for selecting fuzzy classification rules. Transaction of the Institute of Electronics, Information and Communication Engineers A (Japan), J77-A(10):1409 –1411, 1994. †CCA 12316/95 ga94cIshibuchi.
[192] Terence C. Fogarty and N. S. Ireson. Bayesian classifiers for credit control – a comparison with other
machine learning methods. IMA Journal of Mathematics Applied in Business and Industry, 5(?):63–75, ?
1994. †Fogarty ga94fFogarty.
90
[193] John R. Koza. Evolution of a computer program for classifying protein segments as transmembrane
domains using genetic programming. In Russ Altman, Douglas Brutlag, Peter Karp, Richard Lathrop,
and David Searls, editors, Proceedings of the Second International Conference on Intelligent Systems for
Molecular Biology, pages 244–252, ?, ? 1994. AAAI Press, Menlo Park, CA. * toc ga94nKoza.
[194] Sanghamitra Bandyopadhyay, Chivukula A. Murthy, and Sankar K. Pal. Pattern classification with genetic
algorithms. Pattern Recognition Letters, 16(8):801–808, August 1995. ga95aBandyopadhyay.
[195] King Choi Chan. Valid English word classifier using genetic programming. In Koza [2408], page ? †Koza
ga95aChan.
[196] Clare Bates Congdon. A comparison of genetic algorithms and other machine learning systems on a
complex classification task from common disease research. PhD thesis, The University of Michigan, 1995.
* DAI Vol 56 No 4 ga95aCongdon.
[197] H. Altay Güvenir. A genetic algorithm for multicriteria inventory classification. In Pearson et al. [2409],
pages 6–9. ga95aGuvenir.
[198] Hisao Ishibuchi, Ken Nozaki, Naohisa Yamamoto, and Hideo Tanaka. Selecting fuzzy if-then rules for
classification problems using genetic algorithms. IEEE Transactions on Fuzzy Systems, 3(3):260–270,
August 1995. ga95aIshibuchi.
[199] J. A. Shine. A genetic algorithm approach for configuring backpropagation architectures for imagery classification. In ?, editor, Proceedings of the International Neural Network Society Annual Meeting, volume 1,
pages 783–786, Washington, DC, 17.-21. July 1995. Lawrence Erlbaum Associates, Mahwah, NJ (USA).
†EEA57429/97 ga95aJAShine.
[200] K. Worden, A. P. Burrows, and G. R. Tomlinson. A combined neural and genetic approach to sensor
placement. In ?, editor, Proceedings of the 13th International Modal Analysis Conference, volume 2, pages
1727–1736, Nashville, TN, 13.-16. February 1995. Society for Experimental Mechanics, Inc., Bethel, CT.
* A95-25126 ga95aKWorden.
[201] Ludmila I. Kuncheva. Editing for the k-nearest neighbors rule by a genetic algorithm. Pattern Recognition
Letters, 16(8):809–814, August 1995. ga95aKuncheva.
[202] Sven Loncaric and Atam P. Dhawan. Near-optimal MST-based shape description using genetic algorithm.
Pattern Recognition, 28(4):571–579, April 1995. ga95aLoncaric.
[203] Jim Piper. Genetic algorithm for applying constraints in chromosome classification. Pattern Recognition
Letters, 16(8):857–864, August 1995. ga95aPiper.
[204] C. J. Pye and J. A. Bangham. Using a genetic algorithm to adapt 1D nonlinear matched sieves for
pattern-classification in images. In E. R. Dougherty, J. T. Astola, H. G. Longbotham, N. M. Nasrabadi,
and A. K. Katsaggelos, editors, Nonlinear Image Processing VI, volume SPIE-2424, pages 48–55, San Jose,
CA, 6. -9. February 1995. The International Society for Optical Engineering. †P65575 ga95aPye.
[205] Mateen M. Rizki, Louis A. Tamburino, and Michael A. Zmuda. Evolution of morphological classification
systems. In McDonnell et al. [2410], page ? †conf.prog ga95aRizki.
[206] Tadahiko Murata and Hisao Ishibuchi. Adjusting membership functions of fuzzy classification rules by
genetic algorithms. In Proceedings of the FUZZ-IEEE/IFES’95, pages 1819–1824, Yokohama (Japan),
20.-24. March 1995. IEEE. ga95aTMurata.
[207] Peter D. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree
induction algorithm. Journal of Artificial Intelligence Research, 2(?):369–409, ? 1995. ga95aTurney.
[208] Steven A. Vere. Genetic classification trees. In Jörg Biethahn and Volker Nissen, editors, Evolutionary Algorithms in Management Application, pages 277–289. Springer-Verlag, Berlin, 1995. †Schwehm
ga95aVere.
[209] Don E. Waagen and John R. McDonnell. A combined stochastic and deterministic approach for classification using generalized mixture densities. In McDonnell et al. [2410], page ? †conf.prog ga95aWaagen.
[210] G. Herries, A. Murray, Sean Danaher, and Thomas Selige. Classification of remote sensing imagery using
genetic algorithms and neural networks. In ?, editor, Proceedings of the 1995 Image and Signal Processing
for Remote Sensing II, volume SPIE-2579, pages 200–209, Paris, France, 25. September 1995. Society of
Photo-Optical Instrumentation Engineers, Bellingham, WA. †EI M064035/95 ga95bHerries.
[211] Hisao Ishibuchi, Tomoharu Nakashima, and Tadahiko Murata. A fuzzy classifier system that generates fuzzy if-then rules for pattern classification problems. In ICEC’95 [2411], pages 759–764. †prog.
ga95bIshibuchi.
Bibliography
91
[212] Joanna Lis. Genetic algorithm with the dynamic probability of mutation in the classification problem.
Pattern Recognition Letters, 16(12):1311–1320, December 1995. ga95bJLis.
[213] Jerzy W. Bala, J. Huang, Haleh Vafaie, Kenneth A. De Jong, and Harry Wechsler. Hybrid learning using
genetic algorithms and decision trees for pattern-classification. In C. S. Mellish, editor, Proceedings of the
Fourteeth International Joint Conference on Artificial Intelligence (IJCAI-95), volume ?, pages 719–724,
Montreal, Que (Canada), 20.-25. August 1995. Morgan Kaufmann Pub. Inc., San Mateo. ga95bJWBala.
[214] Y. Kim and C. Eick. Multi-rule-set decision making schemes for a genetic algorithm learning environment
for classification tasks. In McDonnell et al. [2410], page ? †conf.prog ga95bKim.
[215] R. Srikanth, R. George, N. Warsi, D. Prabhu, Frederick E. Petry, and Bill P. Buckles. A variable-length
genetic algorithm for clustering and classification. Pattern Recognition Letters, 16(8):789–800, August
1995. ga95bSrikanth.
[216] J. Toonstra and W. Kinsner. Transient analysis and genetic algorithms for classification. In Proceedings
of the Communications, Power, and Computing, volume 2, pages 432–437, Winnipeg, Man., Canada,
15.-16. May 1995. IEEE, New York, NY. †CCA64777/96 ga95bToonstra.
[217] Rustom Wamlook and Wiley E. Thompson. Multiple-class identification algorithm using genetic neural
networks. In Proceedings of the Signal Processing, Sensor Fusion, and Target Recognition Conference, volume SPIE, pages 681–688, Bellingham, WA, 17.-19. April 1995. Society of Photo-Optical Instrumentation
Engineers, Bellingham, WA. †A95-43884 ga95bWamlook.
[218] James E. Everett. Practical handbook of genetic algorithms. volume 1, Applications, chapter 9. Algorithms
for multidimensional scaling, pages 277–305. CRC Press, Boca Raton, FL, 1995. ga95cEverett.
[219] Hisao Ishibuchi, Tadahiko Murata, and I. B. Turksen. Selecting linguistic classification rules by twoobjektive genetic algorithms. In Proceedings of the 1995 IEEE International Conference on Systems, Man
and Cybernetics, volume 2, pages 1410–1415, Vancouver, BC (Canada), 22.-25. October 1995. IEEE New
York, NY. †CCA998/95 ga95cIshibuchi.
[220] Mahfoud W. Samir. Nichingmethods for genetic algorithms. PhD thesis, University of Illinois at UrbanaChampaign, 1995. (IlliGAL report 95001; available via anonymous ftp site ftp-illigal.ge.uiuc.edu
directory /pub/papers/IlliGALs file 95001.ps.Z) ga95cMahfoud.
[221] Myriam Abramson and Lawrence Hunter. Classification using cultural co-evolution and genetic programming. In Koza et al. [2412], page ? †conf.prog ga96aAbramson.
[222] Manu Ahluwalia and Terence C. Fogarty. Co-evolving classification programs using genetic programming.
In Koza et al. [2412], page ? †conf.prog ga96aAhluwalia.
[223] David Andre, Forrest H. Bennett III, and John R. Koza. Discovery by genetic programming of a cellular
automata rule that is better than any known rule for the majority classification problem. In Koza et al.
[2412], page ? †conf.prog ga96aAndre.
[224] Sanghamitra Bandyopadhyay, Chivukula A. Murthy, and Sankar K. Pal. GA-based pattern classification:
theoretical and experimental studies. In Proceedings of the 13th International Conference on Pattern
Recognition, volume 4, pages 758–762, Vienna, Austria, 25.-29. August 1996. IEEE Comput. Soc. Press,
Los Alamitos, CA. †CCA9653/97 ga96aBandyopadhyay.
[225] Wolfgang Banzhaf, Frank D. Francone, and Peter Nordin. The effect of extensive use of the mutation
operator on generalization in genetic programming using sparse data sets. In Voigt et al. [2413], pages
300–309. ga96aBanzhaf.
[226] Jon A. Benediktsson, J. R. Sveinsson, J. I. Ingimundarson, H. S. Sigurdsson, and O. K. Ersoy. Multistage
classifiers optimized by neural networks and genetic algorithms. Nonlinear Analysis-Theory Methods &
Applications, 30(3):1323–1334, 1996. †P79154 ga96aBenediktsson.
[227] F. Cicalese and V. Loia. A fuzzy evolutionary approach to the classification problem. Journal of Intelligent
& Fuzzy Systems, 6(1):117–130, 1996. †P81724 ga96aCicalese.
[228] Jason M. Daida, Tommaso F. Bersano-Begey, Steven J. Ross, and John F. Vesecky. Computer-assisted
design of image classification algorithms: Dynamic and static fitness evaluations in a scaffolded genetic
programming environment. In Koza et al. [2412], page ? †conf.prog ga96aDaida.
[229] Thomas Dandekar and Patrick Argos. Ab initio tertiary-fold prediction of helical and non-helical protein
chains using a genetic algorithm. International Journal of Biological Macromolecules, 18(1-2):1–4, 1996.
†MEDLINE News /Herrmann ga96aDandekar.
92
[230] E. H. Bosch and J. A. Shine. Evolutionary experiments to optimize hidden layers for hyperspectral
imagery classification. In Proceedings of the International Neural Network Society 1996 Annual Meeting,
pages 1050–1053, San Diego, CA, 15.-18. September 1996. Lawrence Erlbaum Assoc, Mahwah, NJ (USA).
†CCA51129/98 ga96aEHBosch.
[231] Richard S. Forsyth.
ga96aForsyth.
An instance-oriented genetic algorithm.
In Voigt et al. [2413], pages 482–493.
[232] H. F. Gray, R. J. Maxwell, I. Martinez-Perez, C. Arus, and S. Cerdan. Genetic programming for classification of magnetic resonance data. In Koza et al. [2412], page 424. * CCA 51474/97 conf.prog ga96aGray.
[233] Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok L. Lam, and Mark A. Helvie. Effects of pixel
size on classification of microcalcification on digitized mammograms. In Murray H. Loew and Kenneth M.
Hanson, editors, Medical Imaging 1996: Image Processing, volume SPIE-2710, pages 30–41, ?, April 1996.
The International Society for Optical Engineering. * www/SPIE Web ga96aH-PChan.
[234] Hisao Ishibuchi, Tadahiko Murata, and Hideo Tanaka. Genetic algorithms for pattern recognition. In Pal
and Wang [1365], chapter 11. Construction of fuzzy classification systems with linguistic if-then rules using
genetic algorithms, page ? †toc ga96aHIshibuchi.
[235] Hisao Ishibuchi, Tomoharu Nakashima, and Tadahiko Murata. Genetic-algorithm-based approaches to the
design of fuzzy systems for multi-dimensional pattern classification problems. In Proceedings of the IEEE
International Conference on Evolutionary Computation, pages 229–234, Nagoya, Japan, 20.-22. May 1996.
IEEE, New York, NY. * CCA87142/96 ga96aIshibuchi.
[236] Ken Nozaki, Hisao Ishibuchi, and Hideo Tanaka. Adaptive fuzzy rule-based classification systems. IEEE
Transactions on Fuzzy Systems, 4(3):238–250, August 1996. ga96aNozaki.
[237] Jan Paredis. Coevolutionary life-time learning. In Voigt et al. [2413], pages 72–80. ga96aParedis.
[238] Jamie R. Sherrah, Robert E. Bogner, and Abdesselam Bouzerdoum. Automatic selection of features for
classification using genetic programming. In Proceedings of the 1996 Australian New Zealand Conference on
Intelligent Information Systems, pages 284–287, Adelaide, SA (Australia), 18.-20. November 1996. IEEE,
New York, NY. †CCA34544/97 ga96aSherrah.
[239] J. Wallrafen, P. Protzel, and H. Popp. Genetically optimized neural network classifiers for bankruptcy
prediction – an empirical study. In Proceedings of the Twenty-Ninth Hawaii International Conference on
System Sciences, volume 2, pages 419–426, Wailea, HI, 3.-6. January 1996. IEEE Computer Society Press,
Los Alamitos, CA. †CCA40666/96 ga96aWallrafe.
[240] Y. H. Zhou, Z. H. Zhang, Y. C. Lu, and C. Y. Shi. Multistrategy learning using genetic algorithms and
neural networks for pattern-classification. In Proceedings of the Information Intelligence and Systems,
volume 1, pages 1686–1689.
[241] Y. Yuan and H. Zhuang. A genetic algorithm for generating fuzzy classification rules. Fuzzy Sets and
Systems, 84(1):1–19, 1996. †CCA94551/96 ga96aYuan.
[242] F. Bini Verona, A. Balestrino, and M. Napolitano. A genetic algorithm for optimal pattern classification. In
Proceedings of the International ICSC Symposia on Intelligent Industrial Automation and Soft Computing,
pages C24–29, Reading, UK, 26.-28. March 1996. Int. Comput. Sci. Conventions, Millet, Alta (Canada).
†CCA77891/96 ga96bBiniVerona.
[243] Thomas Dandekar and Patrick Argos. Identifying the tertiary fold of small proteins with different topologies
from sequence and secondary structure using the genetic algorithm and extended criteria specific for strand
regions. Journal of Molecular Biology, 256(3):645–660, 1. March 1996. ga96bDandekar.
[244] G. Herries, A. Murray, Sean Danaher, and Thomas Selige. Classification of remote sensing imagery using
genetic algorithms and neural networks. In Proceedings of the Image and Signal Processing for Remote
Sensing, volume SPIE-?, pages 200–209, Bellingham, WA, 25.-27. September 1996. Society of Photo-Optical
Instrumentation Engineers, Bellingham, WA. †A96-23200 ga96bHerries.
[245] James P. Ignizio and James R. Soltys. Simultaneous design and training of ontogenic neural network
classifiers. Computers & Operations Research, 23(6):535–546, 1996. ga96bIgnizio.
[246] Chivukula A. Murthy, Sanghamitra Bandyopadhyay, and Sankar K. Pal. Genetic algorithms for pattern
recognition. In Pal and Wang [1365], chapter 6. Genetic algorithm-based pattern classification: Relationship with Bayes classifier, page ? †toc ga96bMurthy.
[247] Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Michell M. Goodsitt, and Dorit D.
Adler. Classification of mass and normal breast-tissue-feature-selection using a genetic algorithm. In
Digital Mammography ’96, pages 379–384, 1996. †P74190 ga96bSahiner.
Bibliography
93
[248] Sandip Sen. Modeling human categorization by a simple classifier system. In Proceedings of the First
Online Workshop on Soft Computing (WSC1), pages 71–76, WWW (World Wide Web), 19.-30. August
1996. Nagoya University. ga96bSandipSen.
[249] Jason M. Daida, Robert G. Onstott, Tommaso F. Bersano-Begey, Steven J. Ross, and John F. Vesecky.
Ice roughness classification and ERS SAR imagery of arctic sea ice: evaluation of feature-extraction algorithms by genetic programming. In Proceedings of the 1996 International Geoscience and Remote Sensing
Symposium, volume 3, pages 1520–1522, Lincoln, NE, USA, 28.-31. May 1996. IEEE, Piscataway, NJ. †EI
M166015/96 ga96cDaida.
[250] Thomas Dandekar. The genetic algorithm applied as a modelling tool to predict the fold of small proteins
with different topologies. Journal of Molecular Modeling, 2(9):304–306, ? 1996. (Proceedings of the 10th
Molecular Modelling Workshop, Darmstadt (Germany), May 14.-15. 1996) †P72845/97 ga96cDandekar.
[251] Hisao Ishibuchi and Tadahiko Murata. A learning method of fuzzy classification rules by a genetic algorithm. Transactions of the Institute of Electronics, Information, and Communication Engineers A (Japan),
J79-A(7):1289–1297, 1996. (In Japanese) †CCA 77984/96 ga96cIshibuchi.
[252] R. Baumgart-Schmitt, W. M. Herrmann, R. Eilers, and F. Bes. On the use of neural network techniques
to analyse sleep EEG data. first communication: application of evolutionary and genetic algorithms to
reduce the feature space and to develop classification rules. Neuropsychobiology, 36(?):194–210, ? 1997.
†[2414] ga97aBaumgart-Schmitt.
[253] Anna L. Buczak and Robert E. Uhrig. chapter 103. Information fusion by fuzzy set operations and genetic
algorithms, pages 1325–1337. CRC Press, Boca Raton, FL, 1997. ga97aBuczak.
[254] Thomas Dandekar. Improving protein structure prediction by new strategies: experimental insights and
the genetic algorithm. Journal of Molecular Modelling, 3(8):312–314, ? 1997.
* ChA 231551n/97
ga97aDandekar.
[255] Kimmo Fredriksson. Genetic algorithms and generative encoding of neural networks for some benchmark
classification problems. In Alander [2415], pages 123–134. (available via anonymous ftp site ftp.uwasa.fi
directory cs/3NWGA file Fredriksson.ps.Z) ga97aFredriksson.
[256] Alex A. Freitas. A genetic programming framework for two data mining tasks: Classification and generalized rule induction. In Koza et al. [2416], page ? * ResearchIndex conf.prog ga97aFreitas.
[257] H. F. Gray and R. J. Maxwell. Genetic programming for multi-class classification of magnetic resonance
spectroscopy data. In Koza et al. [2416], page ? †conf.prog ga97aHFGray.
[258] Y. Hamamoto, Y. Tsuneta, C. Kaneyama, and S. Tomita. Selection of representatives for a nearest neighbor
classifier using genetic algorithms. Transactions of the Institute of Electronics, Information, and Communication Engineers A (Japan), J80-A(2):371–378, 1997. In Japanese †CCA34513/97 ga97aHamamoto.
[259] I. Ciuca, J. A. Ware, and A. Cristea. Removing irrelevant features in neural network classification using
evolutionary computations. In Proceedings of the Medical Informatics Europe’97, volume 1, pages 391–395,
Thessaloniki, Greece, ? 1997. IOS Press, Amsterdam. †CCA84535/98 ga97aICiuca.
[260] Hisao Ishibuchi, Tadahiko Murata, and Tomoharu Nakashima. Fuzzy evolutionary computation. In
Pedrycz [2417], chapter 2.3 Genetic-algorithm-based approaches to classification problems, pages 128–153.
ga97aIshibuchi.
[261] J. J. Merelo, A. Prieto, F. Moran, R. Marabini, and J. M. Carazo. A GA-optimized neural network for
classification of biological particles from electron-microscopy images. In Proceedings of the International
Work-Conference on Artificial and Natural Neural Networks, volume ?, pages 1174–1182, Lanzarote, Spain,
4.-6. June 1997. Springer-Verlag, Berlin (Germany). †CCA83479/97 ga97aJJMerelo.
[262] I. Jagielska, C. Matthews, and T. Whitfort. A study in experimental evaluation of neural network and
genetic algorithm techniques for knowledge aquisition in fuzzy classification systems. In Proceedings of
the 1997 IEEE International Conference on Neural Networks, volume 4, pages 2364–2368, Houston, TX,
9.-12. June 1997. IEEE, New York, NY. †CCA84088/97 ga97aJagielsk.
[263] Jihoon Yang and Vasant Honavar. Feature subset selection using a genetic algorithm. In Koza et al. [2416],
pages 380–399. ga97aJihoonYang.
[264] V. V. Kholodovuich. Search for tuftsin-like peptides using computer modeling of the complementarity of
amino acids based on the genetic code algorithm. Ukr. Biokhim. Zh., 69(5-6):203–208, ? 1997. (in Russian)
* ChA 306036w/99 ga97aKholodovuich.
[265] Jorma Laurikkala. Parameter evaluation and genetic-based rule learning for the differential diagnosis of
female urinary incontinence. Tech. lic. thesis, University of Kuopio, Department of Computer Science and
Applied Mathematics, 1997. ga97aLaurikkala.
94
[266] Masoud Sabaei and Karim Faez. Unsupervised classification of handwritten Farsi numerals using evolution
strategies. In Proceedings of the IEEE TENCON’97 Conference, pages 403–406, Brisbane (Australia), 2.4. December 1997. IEEE, Piscataway, NJ. ga97aMSabaei.
[267] D. Meslati and S. Ghoul. Semantic classification: a genetic approach to classification in object-oriented
models. J. Object-Oriented Program. (USA), 9(8):25–37, 1997. †CCA84874/97 ga97aMeslati.
[268] Min Pei, Erik D. Goodman, and William F. Punch, III.
Pattern discovery from data using genetic algorithms. In ?, editor, Proceedings of the First Pacific-Asia Conference on Knowledge Discovery & Data Mining, page ?, ?, February 1997. ?
(available via www URL:
http://garage.cps.msu.edu/papers/papers-index.html) ga97aMinPei.
[269] Ronald E. Shaffer and Gary W. Small. Genetic algorithms for the optimization of piecewise linear discriminants. Chemometrics and Intelligent Laboratory Systems, 35(1):87–104, 1997. (vuosi voi olla 1996)
†CCA26507/97 ga97aREShaffer.
[270] R. Glover and P. Sharpe. Efficient GA bases techniques for automating the design of classification
models. In ?, editor, Proceedings of the Second International Symposium on Intelligent Data Analysis (IDA-97), page ?, London (UK), 4.-6. August 1997. ?
(to appear: available via www URL:
http://web.dcs.bbk.ac.uk/ida97.html) †conf. prog. ga97aRGlover.
[271] Raúl Pérez. Aprendizaje de reglas difusas usando algoritmos genéticos [Concept Learning trought Genetic
Algorithms]. PhD thesis, University of Granada, Dpto. Ciencias de la Computación e Inteligencia Artificial,
1997. (in Spanish) * www /Perez ga97aRaulPerez.
[272] Leszek Rychlewski and Adam Godzik. Secondary structure prediction using segment similarity. Protein
Engineering, 10(10):1143–1153, October 1997. ga97aRychlewski.
[273] Steven A. Benner, Gina Cannarozzi, Dietlind Gerloff, Marcel Turcotte, and Gareth Chelvanayagam. Bona
fide predictions of protein secondary structure using transparent analyses of multiple sequence alignments.
Chemical Reviews, 97(8):2725–2843, December 1997. ga97aSABenner.
[274] Sameh M. Yamany, K. J. Khiani, and Aly A. Farag. Application of neural networks and genetic algorithms
in the classification of endothelian cells. Pattern Recognition Letters, 18(11-13):1205–1210, November 1997.
†toc ga97aSMYamany.
[275] Jamie R. Sherrah, Robert E. Bogner, and Abdesselam Bouzerdoum. The evolutionary pre-processor:
Automatic feature extraction for supervised classification using genetic programming. In Koza et al.
[2416], page ? †conf.prog ga97aSherrah.
[276] T. Olmez. Classifiation of ECG waveforms by using RCE neural networks and genetic algorithms. Electronics Letters, 33(18):1561–1562, 1997. †EI M010399/98 ga97aTOlmez.
[277] Antoine H. C. van Kampen and Lutgarde M. C. Buydens. Reinvestigation of a genetic-based classification
system: the effectiveness of recombination. Computers & Chemistry, 21(3):153–160, 1997. †CCA42016/97
ga97avanKampen.
[278] Thomas Dandekar and Patrick Argos. Applying experimental data to protein fold prediction with the
genetic algorithm. Protein Engineering, 10(8):877–893, August 1997. ga97bDandekar.
[279] Ludmila I. Kuncheva. Fitness functions in editing k-NNreference set by genetic algorithms. Pattern
Recognition, 30(6):1041–1049, June 1997. ga97bKuncheva.
[280] P. J. Jacob and A. D. Ball. Structuring a RBF classifier using genetic algorithm or a forward selection
heuristic. In A. B. Bulsari and S. Kallio, editors, Proceedings of the 1997 International Conference on
Engineering Applications of Neural Networks, pages 369–373, Stockholm (Sweden), 16.-18. June 1997.
Systeemitekniikan seura ry, Turku (Finland). ga97bPJJacob.
[281] Wilhelmus H. A. M. van den Broek. Chemometrics in spectroscopic near infrared imaging for plastic
material recognition. PhD thesis, Catholic University of Nijmegen, 1997. * Geladi ga97bvandenBroek.
[282] Dan Ashlock and Jennifer L. Davidson. Genetic algorithms for automated texture classification. In ?,
volume SPIE-3167, pages 140–151. Int. Soc. Opt. Eng. (USA), 1997. †CCA34419/98 ga97cDAshlock.
[283] Thomas Dandekar and R. Konig. Computational methods for the prediction of protein folds. Biochimica
et Biophysica Acta – Protein Structure and Molecular Enzymology, 1343(?):1–15, ? 1997. †David E.
Clark/bib ga97cDandekar.
[284] Hisao Ishibuchi and Tadahiko Murata. Learning of fuzzy classification rules by a genetic algorithm. Electron. Commun. Jpn. 3, Fundam Electron. Sci. (USA), 80(3):37–46, 1997. †EEA76018/97 ga97cIshibuchi.
Bibliography
95
[285] Hisao Ishibuchi, Tadahiko Murata, and I. B. Turksen. Single-objective and two-objective genetic algorithms
for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems, 89(2):135–150,
1997. †CCA61921/97 ga97dIshibuchi.
[286] R. Baumgart-Schmitt, W. M. Herrmann, and R. Eilers. On the use of neural network techniques to analyse
sleep EEG data. third communication: robustification of the classificator by applying an algorithm obtained
from 9 different networks. Neuropsychobiology, 37(?):49–58, ? 1998. †[2414] ga98aBaumgart-Schmitt.
[287] C. M. N. Pereira, R. Schirru, and A. S. Martinez. Learning an optimized classification-system from a
data-base of time-series patterns using genetic algorithms. In Data Mining, page p.21, 1998. †P84062
ga98aCMNPereira.
[288] Younes Chtioui, Dominique Bertrand, and Dominique Barba. Feature selection by a genetic algorithm. Application to seed discrimination by artificial vision. J. Sci. Food Agric., 76(1):77–86, 1998.
†ChA128:228216x ga98aChtioui.
[289] N. A. Chuzhanova, A. J. Jones, and S. Margetts. Feature selection for genetic sequence classification.
Bioinformatics, 14(?):139–143, ? 1998. †David E. Clark/bib ga98aChuzhanova.
[290] E. DeRouin, J. R. Brown, and G. Denney. Feature-selection for neural-network classifiers using saliency
and genetic algorithms. In Proceedings of the Applications and Sciece of Computational Intelligence, pages
322–331, Orlando, FL, 13.-16. April 1998. SPIE – International Society for Optical Engineering. †P80079
ga98aDeRouin.
[291] Du-Yih Tsai. Classification of heart diseases in ultrasonic images using neural networks trained by genetic algorithms. In Proceedings of the 1998 Fourth International Conference on Signal Processing, volume 2, pages 1213–1216, Beijing (China), 12.-16. October 1998. IEEE, Piscataway, NJ. †CCA84921/99
ga98aDu-YTsai.
[292] Dusko Katic and Miomir Vukobratovic. A neural network-based classification of environment dynamics
for compliant of manipulation robots. IEEE Transactions on Systems, Man, and Cybernetics, 28(1):58–69,
1998. †A98-18041 ga98aDuskoKatic.
[293] Edward E. Derouin, Joe R. Brown, and Guy Denney. Feature selection for neural network classifier using
saliency and genetic algorithms. In Steven K. Rogers, David B. Fogel, James C. Bezdek, and Bruno Bosacchi, editors, Applications and Science of Computational Intelligence, volume SPIE-3390, pages 322–331, ?,
March 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aEEDerouin.
[294] Ferdinando Cicalese and Vincenzo Loia. A fuzzy evolutionary approach to the classification problem.
Journal of Intelligent and Fuzzy Systems, 6(1):117–129, ? 1998.
* http://iospress.metapress.com
ga98aFCicalese.
[295] Hisao Ishibuchi, Tadahiko Murata, and T. Sotani. Fuzzy rule selection by genetic local search for pattern classification problems. In Proceedings of the 5th International Conference on Soft Computing and
Information/Intelligent Systems, volume 2, pages 923–926, Fukuoka, Japan, 16.-20. October 1998. World
Scientific, Singapore. †CCA68654/99 ga98aIshibuchi.
[296] J. A. A. do Amaral, P. L. Botelho, N. F. F. Ebecken, A. E. Xavier, and L. P. Caloba. Ship’s classification
by its magnetic signature: a neuro-genetis approach. In Proceedings of the International Conference on
Data Mining, pages 323–332, Rio de Janeiro (Brazil), 2.-4. September 1998. WIT Press/Comput. Mech.
Publications, Southampton, UK. †CCA102589/99 ga98aJAAmaral.
[297] Joao A. Arantes Do Amaral, Pedro L. Botelho, Nelson F. Ebecken, A. E. Xavier, and L. P. Caloba. Ship’s
classification by its magnetic signature: a neurogenetic approach. In Firooz A. Sadjadi, editor, Automatic
Target Recognition VIII, volume SPIE-3371, pages 314–321, ?, September 1998. The International Society
for Optical Engineering. * www/SPIE Web ga98aJAArantesDoAmaral.
[298] J. A. Fernandez Garcia, M. Reyes de los Mozos, and A. Paraiso. Classification and prototype extraction
by genetic algorithms. In Proceedings of the International Conference on Computational Intelligence and
Multimedia Applications, pages 549–557, Gippsland (Australia), 9.-11. February 1998. World Scientific,
Singapore. †CCA58960/99 ga98aJAGarcia.
[299] Jing-Wein Wang, Chin-Hsing Chen, and Jeng-Shyang Pan. Genetic feature selection for texture classification using 2-D non-separable wavelet bases. IEICE Transactions on Fundamentals of Electronics,
Communications and Computer Science, E81-A(8):1635–1644, 1998. †CCA88041/98 ga98aJingWang.
[300] John R. Koza, Forrest H. Bennett III, and David Andre. Classifying proteins as extracellular using
programming motifs and genetic programming. In Proceedings of the 1998 IEEE International Conference
on Evolutionary Computation, volume ?, pages 212–217, Anchorage, AK (USA), 4.-9. May 1998. IEEE,
New York, NY. ga98aJohnKoza.
96
[301] Ludmila I. Kuncheva and James C. Bezdek. Nearest prototype classification: clustering, genetic algorithms, or random search? IEEE Transactions on Systems, Man, and Cybernetics C, Application Review,
28(1):160–164, 1998. †CCA34387/98 ga98aLIKuncheva.
[302] Lixin Sun and Wen Gao. Method of selecting the best classification bands from hyperspectral images based
on genetic algorithm and rough set. In Robert O. Green and Qingxi Tong, editors, Hyperspectral Remote
Sensing and Applications, volume SPIE-3502, pages 179–184, ?, August 1998. The International Society
for Optical Engineering. * www/SPIE Web ga98aLSun.
[303] L. X. Sun and W. Gao. The method of selecting the best classification bands from hyperspectral images
based on genetic algorithm and rough set. In Hyperspectral remote sensing and applications, pages 179–185,
1998. †P82546 ga98aLXSun.
[304] Ou Tan, Chunguang Jia, Huilong Duan, and Weixue Lu. Automatic segmentation and classification of
human brain image based on a fuzzy brain atlas. In Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting
Zhu, Mingyue Ding, and Jianguo Liu, editors, International Symposium on Multispectral Image Processing
(ISMIP’98), volume SPIE-3545, pages 508–511, ?, September 1998. The International Society for Optical
Engineering. * www/SPIE Web ga98aOTan.
[305] Philippe Biela Enberg, Denis Hamad, and Jack Gerard Postaire. Unsupervised data classification with
neural elastic networks and genetic algorithms. In Ošmera [2418], pages 249–254. ga98aPBEnberg.
[306] D. Rutkowska. On generating fuzzy rules by an evolutionary approach. Cybernetics and Systems, 29(4):391–
407, June 1998. †CCA80953/98 ga98aRutkowska.
[307] Sankar K. Pal, Sanghamitra Bandyopadhaya, and C. A. Murthy. Genetic algorithms for generation of
class boundaries. IEEE Transactions on Systems, Man, and Cybernetics, 28(6):816–828, December 1998.
ga98aSKPal.
[308] Sang-Woon Kim, Seong-Hyo Shin, and Y. Aoki. A structural learning of neural-network classifiers using PCA networks and species genetic algorithms. IEICE Transactions on Fundamentals of Electronics,
Communications and Computer Science, E81-A(6):1183–1186, 1998. †CCA66290/98 ga98aSang-Kim.
[309] C. A. Sparrow, S. M. Bridges, and Jun Chen. Tuning a fuzzy nuclear waste classification system using genetic algorithms. Transactions of the American Nuclear Society, 79:67–68, 1998. †PA26970/99
ga98aSparrow.
[310] S. Stramaglia, G. Satalino, A. Sternieri, P. Anelli, P. Blonda, and G. Pasquariello. Parallel genetic algorithm
for the design of neural networks - an application to the classification of remote sensed data. In Proceedings
of the Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, pages
35–42, San Diego, CA, 20.-22. July 1998. SPIE – International Society for Optical Engineering. †P83323
ga98aStramaglia.
[311] I. I. Vaisman, A. Tropsha, and W. F. Zheng. Compositional preferences in quadruplets of nearest-neighbor
residues in protein structures - statistical geometry analysis. In Proceedings of the IEEE International
Joint Symposia on Intelligence and Systems, pages 163–168, Rockville, MD (USA), 21.-23. May 1998.
IEEE Computer Society Press, Los Alamitos , CA. †P80657 ga98aVaisman.
[312] Yen-Wei Chen, X. Y. Zeng, and Zensho Nakao. A hybrid neural-network training approach of backpropagation and genetic algorithm for classification of remotely-sensed images. In Proceedings of the Fifth
International Conference on Neural Information Processing Jointly with JNN’98: The 1998 Annual Conference of the Japanese Neural Network Society, pages 1402–1408, Kitakyushu, Japan, 21.-23. October
1998. IOS Press, Amsterdam. †P84332 ga98aYWChen.
[313] Z. Dokur, T. Olmez, and E. Yazgan. Classification of MR and CT images using genetic algorithms.
In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and
Biology Society, volume 3, pages 1418–1421, Hong Kong, 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ.
†CCA84779/99 ga98aZDokur.
[314] Du-Yih Tsai. Classification of heart diseases in ultrasonic images using neural networks trained by genetic
algorithms. In Y. Baozong and T. Xiaofang, editors, 1998 Fourth International Conference on Signal
Processing Proceedings. ICSP ’98, volume 2, pages 1213–1216, Beijing, China, 12.-16.October 1998. IEEE,
Piscataway, NJ. * www/IEEE ga98bD-YTsai.
[315] I. Nagayama and M. Kudaka. Automatic detection of histological components in breast cancer image by
using genetic neural network. In Proceedings of the 5th International Conference on soft Computing and
Information/Intelligent Systems, volume 2, pages 1011–1016, Fukuoka, Japan, 16.-20. October 1998. World
Scientific, Singapore. †CCA75235/99 ga98bNagayama.
Bibliography
97
[316] G. Turhan-Sayan, S. Inan, T. Ince, and K. Leblebicioglu. Applications of artificial neural networks and
genetic algorithms to electromagnetic target classification. In Proceedings of the Application of Information
Technologies to Mission Systems, pages 23/1–23/10, Monterey, CA, 20.-22. April 1998. NATA Research
and Technology Organization, Neuilly-sur-Seine (France). †CCA66080/99 ga98bTurhan-Sayan.
[317] Brian Hoffman, Sung Jin Cho, Weifan Zheng, Steven Wyrick, David E. Nichols, Richard B. Mailman, and
Alexander Tropsha. Quantitative structure-activity relationship modeling of dopamine D1 antagonist using
comparative molecular field analysis, genetic algorithms - partial least-squares, and K nearest neighbor
methods. J. Med. Chem., 42(17):3217–3226, 1999. †ChA280995/99 ga99aBrianHoffman.
[318] Chi C. Hung, Venkata Atluri, and Tommy L. Coleman. Combined genetic K-means and radial basis function
neural network technique for classifying and predicting soil moisture. In Giovanna Cecchi, Edwin T.
Engman, and Eugenio Zilioli, editors, Remote Sensing for Earth Science, Ocean and Sea Ice Applications,
volume SPIE-3868, pages 12–15, ?, December 1999. The International Society for Optical Engineering. *
www/SPIE Web ga99aCCHung.
[319] B. Chacraborty and G. Chacraborty. Soft computing techniques for intelligent classification system: a case
study. In Proceedings of the 1999 IEEE Midnight - Sun Workshop on soft Computing Methods in Industrial
Applications, pages 16–21, Kuusamo, Finland, 16.-18. June 1999. IEEE, Piscataway, NJ. †CCA72598/99
ga99aChacrabo.
[320] J. Diederich and R. Fortuner. A fuzzy classifier using genetic algorithms for biological data. In Proceedings
of the 18th International Conference of the North American Fuzzy Information-Processing Society, pages
680–684, New York, NY, 10.-12. June 1999. IEEE, New York, NY. †P85421 ga99aDiederic.
[321] E. M. Iyoda, L. N. deCastro, F. Gomide, and F. J. Von Zuben. Evolutionary design of neurofuzzy networks
for pattern classification. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,
volume 2, pages 1237–1244, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA82133/99
ga99aEMIyoda.
[322] E. S. Yu and E. D. Liddy. Feature selection in text categorization using the Baldwin effect. In Proceedings of the International Joint Conference on Neural Networks (IJCNN’99), volume 4, pages 2924–2927,
Washington DC, 10.-16. July 1999. IEEE, Piscataway, NJ. * www /IEEE ga99aESYu.
[323] Hongxing He, Warwick Graco, and Yin Yao. Application of genetic algorithm and k-nearest neighbour
method in medical fraud detection. In B. McKay, X. Yao, C. S. Newton, J.-H. Kim, and T. Furuhashi,
editors, Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and
Learning, SEAL’98, volume LNAI of 1585, pages 74–81, Canberra (Australia), November 1999. SpringerVerlag Berlin Heidelberg. * www /Springer ga99aHHe.
[324] Jon A. Benediktsson and Helgi Benediktsson. Neuro-fuzzy and soft computing in classification of remote
sensing data. In Sebastiano B. Serpico, editor, Image and Signal Processing for Remote Sensing V, volume
SPIE-3871, pages 176–187, ?, December 1999. The International Society for Optical Engineering. *
www/SPIE Web ga99aJABenediktsson.
[325] Jorma Laurikkala, Martti Juhola, S. Lammi, and K. Viikki. Comparison of genetic algorithms and other
classification methods in the diagnosis of female urinary incontinence. Methods of Information in Medicine,
38(2):125–131, June 1999. * [2419] CCA 83935/99 ga99aLaurikkala.
[326] Nikhil R. Pal. Soft computing for feature analysis. Fuzzy Sets and Systems, 103(2):201–221, 16. April
1999. * ga99aNRPal.
[327] A. El Ouaazizi, R. Benslimane, and J. G. Postaire. Iterations of a genetic-based filtering procedure for mode
detection in pattern classification. In Proceedings of the International Symposium on Pattern Recognition
“In Memoriam Pierre Devijver”, pages 166–173, Brussels (Belgium), 12 February 1999. Royal Mil. Acad.
(Brussels,Belgium). †CCA86607/99 ga99aOuaazizi.
[328] A. Petrowski and M. G. Genet. A classification tree for speciation. In Proceedings of the 1999 Congress
on Evolutionary Computation-CEC99, volume 1, pages 204–211, Washington, DC, 6.-9. July 1999. IEEE,
Piscataway, NJ. †CCA77169/99 ga99aPetrowsk.
[329] Sanghamitra Bandyopadhyay, Chivukula A. Murthy, and Sankar K. Pal. Theoretical performance of genetic
pattern classifier. Journal of the Franklin Institute, 336(3):387–422, April 1999. ga99aSBandyopadhyay.
[330] Xin Yao and Yong Liu. Neural networks for breast cancer diagnosis. In Proceedings of the 1999 Congress on
Evolutionary Computation-CEC99, volume 3, pages 1760–1767, Washington D.C., 6.-9. July 1999. IEEE,
Piscataway, NJ. †CCA84613/99 ga99aXinYao.
[331] Yuan Fu-yu and Zhang Wei-hai. A genetic algorithm applied to multi-target relation classification. J.
Zhejiang Univ. (China), 33(3):277–282, 1999. In Chinese †CCA94615/99 ga99aYuaFu-yu.
98
[332] Z. Dokur, T. Ölmez, and E. Yazgan. Comparison of discrete wavelet and Fourier transforms for ECG beat
classification. Electronics Letters, 34(18):1502–1504, 2. September 1999. ga99aZDokur.
[333] Hsiao Ishobuchi and Tomoharu Nakashima. Improving the performance of fuzzy classifier systems for
pattern classification problems with continuous attributes. IEEE Transactions on Industrial Electronics,
46(6):1057–1068, December 1999. ga99bHIshibuchi.
[334] Y. H. Chen and C. Y. Liu. Quadric surface extraction using genetic algorithms. Computer-Aided Design,
31(2):101–110, February 1999. ga99bYHChen.
[335] G. Phanendra Babu and M. Narasimha Murty. A near-optimal initial seed value selection in K-means
algorithm using a genetic algorithm. Pattern Recognition Letters, 14(10):763–769, 1993. ga:Babu93a.
[336] J. Biondi. Robustness and evolution in an adaptive system application on classification task. In Albrecht
et al. [2420], pages 463–470. ga:Biondi93a.
[337] Li Chen, Donald H. Cooley, and Jianping Zhang. Genetic algorithms application to fuzzy classification in remote-sensing. In ?, editor, Proceedings of the Fifth Workshop on Neural Networks: Academic/Industrial/NASA/Defence, volume SPIE-2204, pages 79–83, San Francisco, CA, 7.-10. November
1993. The International Society for Optical Engineering. * CCA 76288/94 P59914/94 ga:Cooley93a.
[338] James D. Kelly, Jr. and Lawrence Davis. Hybridizing the genetic algorithm and the k nearest neighbors
classification algorithm. In Belew and Booker [2421], pages 377–383. ga:Davis91d.
[339] C. F. Eick and D. Jong. Learning Bayesian classification rules through genetic algorithms. In B. Bhargava,
T. Finin, and Y. Yesha, editors, Proceedings of the Second International Conference on Information and
Knowledge Management, pages 305–313, Washington, DC, 1.-5. November 1993. ACM Press, New York.
†ACM/93 ga:Eick93a.
[340] William F. Punch, III, Erik D. Goodman, Min Pei, Lai Chia-Shun, P. Hovland, and R. Enbody. Further
research on feature selection and classification using genetic algorithms. In Forrest [2422], pages 557–564.
ga:Enbody93a.
[341] Terence C. Fogarty and Runhe Huang. Systems control with the genetic algorithm and the nearest neighbour classification. CC-AI, 9(2-3):225–236, 1992. †Fogarty ga:Fogarty92f.
[342] Hisao Ishibuchi, Ken Nozaki, Naohisa Yamamoto, and Hideo Tanaka. Selection of fuzzy if-then rules by
a genetic method. Transaction of the Institute of Electronics, Information and Communication Engineers
A (Japan), J76-A(10):1465–1473, October 1993. (in Japanese) * CCA 26698/94 ga:Ichibuchi93b.
[343] Hisao Ishibuchi, Ken Nozaki, and Naohisa Yamamoto. Selecting fuzzy rules by genetic algorithm for
classification problems. In Second IEEE International Conference on Fuzzy Systems, volume II, pages
1119–1124, San Francisco, March 28.- April 1. 1993. IEEE. ga:Ishibuchi93a.
[344] Gary J. Koehler. Linear discriminant functions determined by genetic search. ORSA Journal on Computing, 3(4):345–357, 1992. ga:Koehler91.
[345] Aaron H. Konstam. Linear discriminant analysis using genetic algorithms. In K. M. George Deaton
and George Hedrick Hal. Berghel, editors, Proceedings of the 1993 ACM/SIGAPP Symposium on Applied
Computing, pages 152–156, Indianapolis, IN, 14.-16 February 1993. ACM, New York. ga:Konstam93b.
[346] Ludmila I. Kuncheva. Genetic algorithm for feature selection for parallel classifiers. Information Processing
Letters, 46(4):163–168, June 1993. * CA 6682 Vol. 37 No. 9/10; EI 133675/93 ACM/93 ga:Kuncheva93a.
[347] Alastair D. McAulay and Jae Chan Oh. Inductive character learning and classification with genetic
algorithms. In IEEE International Conference on Systems Engineering, pages 363–366, Fairborn, OH,
1.-3. August 1991. IEEE, New York. †P48468 ga:McAulay91a.
[348] J. Wnek, Jayshree Sarma, A. A. Wahab, and R. S. Michalski. Comparing learning paradigms via diagrammatic visualization: A case study in single concept learning using symbolic, neural net and genetic
algorithm methods. Technical report, George Mason University, Computer Science Department, 1990.
†[2423] ga:Michalski90b.
[349] C. N. Schizas, C. S. Pattichis, and L. T. Middleton. Neural networks, genetic algorithms and the K-means
algorithm: in search of data classification. In J. David Schaffer and Darrell Whitley, editors, COGANN92, International Workshop on Combinations of Genetic Algorithms and Neural Networks, pages 201–222,
Baltimore, MD, 6. June 1992. IEEE Computer Society Press, Los Alamitos, CA. * EEA 70672/93
ga:Middleton92a.
[350] K. J. Mock. A genetic classification system via discrimination tables. In J. Wu, W. Gao, J. Yang, and Y. Li,
editors, Proceedings of the Third International Conference of Young Computer Scientists (ICYCS’93),
pages 2122–2125, Beijing (China), 15.-17. July 1993. Tsinghua University Press, Beijing (China). †ACM/93
ga:Mock93a.
Bibliography
99
[351] Elaine J. Pettit and Michael J. Pettit. Analysis of the performance of a genetic algorithm-based system for
message classification in noisy environments. International Journal of Man-Machine Studies, 27(2):205–
220, August 1987. ga:Pettit87.
[352] Sandip Sen. Improving classification accuracy through performance history. In Forrest [2422], page 652.
ga:SSen93a.
[353] Shaojian Sun. Reduced representation model of protein structure prediction: Statistical potential and
genetic algorithms. Protein Science, 2(5):762–785, May 1993. ga:SSun93a.
[354] Steffen Schulze-Kremer. Genetic algorithms for protein tertiary structure prediction. In R. Männer and
B. Manderick, editors, Parallel Problem Solving from Nature, 2, pages 391–400, Brussels, 28.-30. September
1992. Elsevier Science Publishers, Amsterdam. ga:Schulze-K92b.
[355] Steffen Schulze-Kremer. Genetische Algorithmen zur Vorhersage von Proteintertiärstrukturen. In D. P. F.
Möller and O. Richter, editors, Fortschritte der Simulation in Medizin, pages 217–238. Universität
Clausthal-Zellerfeld, Institut für Informatik, 1992. †Mitchell ga:Schulze-K92c.
[356] Steffen Schulze-Kremer and Ulrich Tiedemann. Genetic algorithms for protein tertiary structure prediction.
In J.-G. Ganascia, editor, Artificial Intelligence and Genome Workshop 26, Proceedings of the International
Joint Conference on Artificial Intelligence, pages 119–141, Institut Blaise Pascal, Paris, ? 1993. ? †Mitchell
ga:Schulze-K93a.
[357] Steffen Schulze-Kremer. Genetic algorithms for protein tertiary structure prediction. In P. B. Brazil,
editor, Proceedings of the European Conference on Machine Learning (ECML-93), volume 667 of Lecture
Notes in Artificial Intelligence, pages 262–279, Vienna (Austria), 5.-7. April 1993. Springer-Verlag. †CCA
22653/93 ga:Schulze-K93b.
[358] Michael T. Semertzidis, Serge Hazout, and Jean-Paul Mornon. A computer based simulation with artificial
adaptive agents for predicting secondary structure from the protein hydrophobicity [abstract]. Protein
Science, 2(Suppl. 1):66, July 1993. (Proceedings of the Seventh Symposium of the Protein Society, San
Diego, CA, July 24-28) ga:Semertzidis93a.
[359] H. Altay Güvenir and İzzet Şirin. A genetic algorithm for classification by feature partitioning. In Forrest
[2422], pages 543–548. ga:Sirin93a.
[360] Dominique Snyers. Clique partitioning problems and genetic algorithms. In Albrecht et al. [2420], pages
352–360. ga:Snyers93a.
[361] Torbjörn E. M. Nordling, Janne Koljonen, Josefina Nyström, Ida Bodén, Britta Lindholm-Sethson, Paul
Geladi, and Jarmo T. Alander. Wavelength selection by genetic algorithms in near infrared spectra for
melanoma diagnosis. In ?, editor, Proceedings of the 3rd European Medical and Biological Engineering
Conference (EMBEC’05), volume 11, page ?
[362] Gabriel Comrier and Roger Boudreau. Genetic algorithm for ellipsometric data inversion of absorbing
layers. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 17(1):129–134,
January 2000. ga00aGCormier.
[363] H. D. Cheng, Y. H. Chen, and X. H. Jiang. Thresholding using two-dimensional histogram and fuzzy
entropy principle. IEEE Transactions on Image Processing, 9(4):732–735, April 2000. ga00aHDCheng.
[364] Yongyi Yang, Henry Stark, Damla Gurkan, Christy L. Lawson, and Robert W. Cohn. High-diffractionefficiency pseudorandom encoding. Journal of the Optical Society of America A: Optics, Image Science,
and Vision, 17(2):285–293, February 2000. ga00aYYang.
[365] L. B. Jack and A. K. Nandi. Genetic algorithms for feature selection in machine condition monitoring
with vibration signals. IEE Proceedings - Vision, Image and Signal Processing, 147(3):205–212, June 2000.
ga00bLBJack.
[366] Guangya Zhou, Xiaocong Yuan, Philip Dowd, Yee-Loy Lam, and Yuen-Chuen Chan. Design of diffractive
phase elements for beam shaping: hybrid approach. Journal of the Optical Society of America A: Optics,
Image Science, and Vision, 18(4):791–800, April 2001. ga01aGuangyaZhou.
[367] I. Aizenberg, N. Aizenberg, J. Hiltner, C. Moraga, and E. Meyer zu Bexten. Cellular neural networks
and computational intelligence in medical image processing. Image and Vision Computing, 19(4):177–183,
March 2001. ga01aIAizenberg.
[368] Shiueng Bien Yang and Lin Yu Tseng. Smooth side-match classified vector quantizer with variable block
size. IEEE Transactions on Image Processing, 10(5):677–685, May 2001. ga01aSBYang.
100
[369] Derek R. Magee and Roger D. Boyle. Detecting lameness using ‘re-sampling condensation’ and ‘multistream cyclic hidden Markov models. Image and Vision Computing, 20(8):581–594, 1. June 2002. * www
/ScienceDirect ga02aDRMagee.
[370] Gia-Wei Chern and Lon A. Wang. Design of binary long-period fiber grating filters by the inverse-scattering
method with genetic algorithm optimization. Journal of the Optical Society of America A: Optics, Image
Science, and Vision, 19(4):772–780, April 2002. ga02aG-WChern.
[371] Tim McInerney, Ghassan Hamarneh, Martha Shenton, and Demetri Terzopoulos. Deformable organisms for automatic medical image analysis. Medical Image Analysis, 6(3):251–266, September 2002.
ga02aTimMcInerney.
[372] Bir Bhanu and Yingqiang Lin. Genetic algorithm based feature selection for target detection in SAR
images. Image and Vision Computing, 21(7):591–608, July 2003. †www /Google ga03aBBhanu.
[373] Tor D. Wager and Thomas E. Nicholis. Optimization of experimental design in fMRI: a general framework
using a genetic algorithm. NeuroImage, 18(?):293–309, ? 2003. ga03aTDWager.
[374] Jianchao Yao and Kian Liong Goh. A refined algorithm for multisensor image registration based on pixel
migration. IEEE Transactions on Image Processing, 15(7):1839–1847, July 2006. ga06aJianchaoYao.
[375] O. Cordón, S. Damas, and J. Santamarı́a. Feature-based image registration by means of the CHC evolutionary algorithm. Image and Vision Computing, 24(?):525–533, ? 2006. ga06b0Cordon.
[376] Luciano Silva, Olga Regina Pereira Bellon, and Kim L. Boyer. Multiview range image registration
using the surface interpenetration measure. Image and Vision Computing, 25(?):114–125, ? 2007.
ga07aLucianoSilva.
[377] S. Chabrier, C. Rosenberger, B. Emile, and H. Laurent. Optimization-based image segmentation by
genetic algorithms. EURASIP Journal on Image and Video Processing, ?(?):?, ? 2008. †www /Google
ga08aSChabrier.
[378] Takeshi Agui, T. Kakuyama, Hiroshi Nagahashi, and Tomoharu Nagao. A study on learning of neural
networks using a genetic algorithm. J. Inst. Image Electron. Eng. Jpn. (Japan), 23(2):96–101, April 1994.
* EEA 96005/94 ga94aAgui.
[379] S. Lawson. Direct approach to design of PCAS filters with combined gain and phase specification. IEE
Proceedings - Vision, Image and Signal Processing, 141(3):161–167, June 1994. ga94aSLawson.
[380] G. Wade and A. Roberts. Multiplier-less FIR filter design using a genetic algorithm. Proceedings of IEE
Vision, Image & Signal Processing, 141(3):175–180, June 1994. * CCA 61381/94 ga94aWade.
[381] M. H. Lee and G. Crebbin. Image sequence coding using quadtree-based block-matching motion compensation and classified vector quantisation. IEE Proceedings, Vis. Image Signal Process. (UK), 141(6):453–460,
1994. †CCA729/95 ga94bMHLee.
[382] S. Hickey. Sex and the systems integrator (genetic algorithms). Image Process. (UK), 7(3):20–22, 1995.
†CCA64409/95 ga95bHickey.
[383] Yih-Gong Lee and Yuang-Cheh Hsueh. Genetic algorithm and fuzzy logic approach for image smoothing.
Pattern Recognit. Image Anal. (Russia), 5(4):564–569, 1995. †CCA26776/95 ga95bY-GLee.
[384] A. Kumar, A. R. Tannenbaum, and G. J. Balas. Optical flow: a curve evolution approach. IEEE Transactions on Image Processing, 5(4):598–610, 1996. †CCA44262/96 ga96aAKumar.
[385] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithm implementation
of stack filter design for image restoration. IEE Proceedings, Vision, Image, Signal Processing, 3(143):177–
183, July 1996. (available via www URL: http://www.biomed.abdn.ac.uk/Research/Computing/Online/)
ga96aDelibasis.
[386] Gnoping Qiu. An improved recursive median filtering scheme for image processing. IEEE Transactions of
Image Processing, 5(4):646–648, 1996. †EEA55629/96 ga96aQiu.
[387] N. R. Harvey and S. Marshall. The use of genetic algorithms in morphological filter design. Signal Process.
Image Commun., 8(?):55–71, ? 1996. †[1092] ga96bNRHarvey.
[388] K. F. Loe, W. G. Gu, and K. H. Phua. Speed-up fractal image compression with a fuzzy classifier. Signal
Process Image Commun, 10(4):303–311, 1997. †EI M021791/98 ga97aKFLoe.
[389] K. I. Kumskov, A. A. Chernobaev, and D. F. Mityushev. The generation of labeled molecular graphs
using metrics and evolutionary programming. Pattern Recognit. Image Anal. (Russia), 7(1):76–81, 1997.
†CCA42020/97 ga97aKumskov.
Bibliography
101
[390] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithm implementation of
stack filter design for image restoration. IEE Proceedings: Vision, Image and Signal Processing, 143(3):?,
? 1997. †IEEE Signal Processing Magazine ga97bDelibasis.
[391] F. Saitoh. A method for extracting disconnected curves using genetic algorithms based on perceptive grouping factors. J. Inst. Image Electron. Eng. Jpn. (Japan), 26(3):255–263, 1997. In Japanese †CCA77870/99
ga97bFSaitoh.
[392] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Designing Fourier descriptor-based
geometric models for object interpretation in medical images using genetic algorithms. Computer Vision
and Image Understanding, 66(3):286–300, June 1997. ga97cDelibasis.
[393] P. W. M. Tsang. A genetic algorithm for aligning object shapes. Image and Vision Computing, 15(11):819–
831, November 1997. ga97dPWMTsang.
[394] A. C. Kotcheff and C. J. Taylor. Automatic construction of eigenshape models by direct optimization.
Med. Image Anal., 2(4):303–314, December 1998. * PubMed10072198 ga98aACKotcheff.
[395] Antonio Collaro, Gorgio Franceschetti, Francesco Palmieri, and Maria Ssedes Ferreiro. Phase unwrapping
by means of genetic algorithms. Journal of the Optical Society of America A: Optics, Image Science, and
Vision, 15(2):407–418, 1998. ga98aACollaro.
[396] J. Y. Goulermas and Panagiotis Liatsis. Genetically fine-tuning the hough transform feature space, for the
detection of circular objects. Image and Vision Computing, 16(9-10):615–625, 1998. ga98aGoulermas.
[397] T. Tasdizen, L. Akarun, and C. Ersoy. Colour quantization with genetic algorithms. Digital Process.,
Image Commun. (Netherlands), 12(1):49–57, 1998. †CCA53462/98 ga98aTasdizen.
[398] S. K. Mitra, C. A. Murthy, and M. K. Kundu. Technique for fractal image compression using genetic algorithm. IEEE Transactions on Image Processing, 7(4):586–593, April 1998. * EEA 49717/98 ga98bSKMitra.
[399] Ahmed S. Abutaleb and M. Kamel. A genetic algorithm for the estimation of ridges in fingerprints. IEEE
Transactions on Image Processing, 8(8):1134–1139, August 1999. ga99aAbutaleb.
[400] Stefano Cagnoni, A. B. Dobrzeniecki, Riccardo Poli, and J. C. Yanch. Genetic algorithm-based interactive segmentation of 3D medical images. Image and Vision Computing, 17(12):881–895, October 1999.
ga99aCagnoni.
[401] Chun-Hung Lin and Ja-Ling Wu. Automatic facial feature extraction by genetic algorithms. IEEE Trans.
Image Process. (USA), 8(6):834–845, 1999. †CCA56344/99 ga99aChun-Lin.
[402] Ikushi Yoda, Kazuhiko Yamamoto, and Hiromitsu Yamada. Automatic acquisition of hierarchical mathematical morphology procedures by genetic algorithms. Image and Vision Computing, 17(10):749–760,
August 1999. ga99aIkushiYoda.
[403] Philippe Andrey. Selectionist relaxation: genetic algorithms applied to image segmentation. Image and
Vision Computing, 17(3-4):175–187, March 1999. ga99aPAndrey.
[404] P. K. Ser, Clifford S. T. Choy, and W. C. Siu. Genetic algorithm for the extraction of nonanalytic objects
from multiple dimensional parameter space. Computer Vision and Image Understanding, 73(1):1–13,
January 1999. †www /IDEAL ga99aPKSer.
[405] Shang-Hong Lai and Baba C. Vemuri. Efficient hybrid search for visual reconstruction problems. Image
and Vision Computing, 17(1):37–49, January 1999. * www /ScienceDirect ga99aShang-HongLai.
[406] F. Saitoh. A method to represent binary images from gray images using a genetic algorithm. J. Inst.
Image Electron. Eng. Jpn. (Japan), 28(2):100–105, 1999. In Japanese †CCA81478/99 ga99bFSaitoh.
[407] A. Hill and C. J. Taylor. Model-based image interpretation using genetic algorithms. Image and Vision
Computing, 10(5):295–300, June 1992. ga:Hill92b.
[408] Andrew D. J. Cross, Richard Myers, and Edwin R. Hancock. Convergence of a hill-climbing genetic
algorithm for graph matching. Pattern Recognition, 33(11):1863–1880, November 2000. ga00aADJCross.
[409] Akishi Hamaoka. Image processing method and device, 2000. (JP patent no. 2000268167. Issued September
29 2000) * fi.espacenet.com ga00aAHamaoka.
[410] Aleix M. Martı́nez and Jordi Vitrià. Learning mixture models using a genetic version of the EM algorithm.
Pattern Recognition Letters, 21(8):759–769, July 2000. ga00aAMMartinez.
[411] Atsushi Shimizu and Shih-Fu Chang. Image-object extraction using a genetic-programming-based object
model. In Bhaskaran Vasudev, T. Russell Hsing, Andrew G. Tescher, and Robert L. Stevenson, editors,
Image and Video Communications and Processing 2000, volume SPIE-3974, pages 452–461, ?, April 2000.
The International Society for Optical Engineering. * www/SPIE Web ga00aAShimizu.
102
[412] Aimin Wang, Lansun Shen, and Zhongxu Zhao. Color tongue image segmentation using fuzzy Kohonen
networks and genetic algorithms. In Nasser M. Nasrabadi and Aggelos K. Katsaggelos, editors, Applications
of Artificial Neural Networks in Image Processing V, volume SPIE-3962, pages 182–190, ?, April 2000. The
International Society for Optical Engineering. * www/SPIE Web ga00aAWang.
[413] Akito Yoshida. Multi-valued dither matrix optimizing device, 2000. (JP patent no. 2000152004. Issued
May 30 2000) * fi.espacenet.com ga00aAYoshida.
[414] Ajay Mahajan, Alan Pilch, and Tsuchin Chu. Intelligent image correlation using genetic algorithms
for measuring surface deformations in the autonomous inspection of structures. In ?, editor, Proceedings of the American Control Conference, volume ?, pages 460–461, Chicago, IL, June 2000. AACC.
ga00aAjayMahajan.
[415] Byoung-Ki Jeon, Jeong-Hun Jang, and Ki-Sang Hong. Road detection in SAR images using genetic
algorithm with region growing concept. In Proceedings. International Conference on Image Processing,
volume 2, pages 688–691, Vancouver, BC, Canada, 10.-13.September 2000. IEEE, Piscataway, NJ. *
www/IEEE ga00aB-KJeon.
[416] C. J. Veenman, M. J. T. Reinders, and E. Backer. Competitive segmentation: A struggle for image space.
In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, Juan Julian Merelo, and
Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature – PPSN VI, 6th International Conference, volume 1917 of Lecture Notes in Computer Science, pages 517–526, Paris (France), 18.-20. September
2000. Springer-Verlag. ga00aCJVeenman.
[417] Chengjun Liu and Harry Wechsler. Evolutionary pursuit and its application to face recognition. IEEE
Transactions on Pattern analysis and Machine Intelligence, 22(6):570–582, June 2000. ga00aCLiu.
[418] Cristian Munteanu and Agostinho Rosa. Towards automatic image enhancement using genetic algorithms.
In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, volume ?, pages 1535–1542, La
Jolla, CA, ? 2000. IEEE, Piscataway, NJ. ga00aCMunteanu.
[419] Cun Xie and JiaSheng Hu. Stereo matching method using modified genetic algorithm. In Andrew G.
Tescher, editor, Applications of Digital Image Processing XXIII, volume SPIE-4115, pages 646–653, ?,
December 2000. The International Society for Optical Engineering. * www/SPIE Web ga00aCXie.
[420] Chunhong Pan and Songde Ma. 3D motion estimation of human by genetic algorithm. In A. Sanfeliu,
J. J. Villanueva, M. Vanrell, R. Alquezar, J.-O. Eklundh, and Y. Aloimonos, editors, 15th International
Conference on Pattern Recognition, 2000, volume 1, pages 159–163, Barcelona, Spain, 3.-7.September 2000.
IEEE, Piscataway, NJ. * www/IEEE ga00aChunhongPan.
[421] D. Chen and Y. Sun. A self-learning segmentation framework-the Taguchi approach. Comput. Med.
Imaging Graph., 24(5):283–296, 15. October 2000. * PubMed10940606 ga00aDChen.
[422] Dipankar Dasgupta, German Hernandez, and Fernando Niño. An evolutionary algorithm for fractal
coding of binary images. IEEE Transactions on Evolutionary Compuatation, 4(2):172–181, July 2000.
ga00aDDasgupta.
[423] Eiji Mizutani, Hideyuki Takagi, David M. Auslander, and Jyh-Shing Roger Jang. Evolving color recipes.
IEEE Transactions on System, Man, and Cybernetics, 30(4):537–550, November 2000. ga00aEMizutani.
[424] F. Lopez, D. L. Vilarino, and D. Cabello. Design of multiplayer discrete time cellular neural networks
for image processing tasks based on genetic algorithms. In The 2000 IEEE International Symposium on
Circuits and Systems. ISCAS Geneva, volume 4, pages 133–136, Geneva, Switzerland, 28.-31.May 2000.
IEEE, Piscataway, NJ. * www/IEEE ga00aFLopez.
[425] Frederich Mombers, Martin Gumm, Didier Nicoulaz, Stephanie Digimont, Marco Mattavelli, Fabio Bellifemine, Gianmario Bollano, Pierangelo Garino, Alessandro Torielli, Marco Gandini, Mauro Marchisio,
and Andrea Finotello. Circuit for motion estimation in digitized video sequence encoders, 2000. (U. S.
patent no. 6,122,320. Issued September 19 2000) * fi.espacenet.com ga00aFMombers.
[426] Pasi Fränti. Genetic algorithm with deterministic crossover for vector quantization. Pattern Recognition,
21(1):61–68, ? 2000. †Franti /lop ga00aFranti.
[427] J. Y. Goulermas and P. Liatsis. A new parallel feature-based stereo-matching algorithm with figural
continuity preservation, based on hybrid symbiotic genetic algorithms. Pattern Recognition, 33(3):529–
531, March 2000. ga00aGoulermas.
[428] Hernan Aguirre, Kiyoshi Tanaka, and Tatsuo Sugimura. Accelerated image halftoning technique using
improved genetic algorithm. IEICE Transactions on Fundamentals of Electronics, Communications and
Computer Sciences, E83-A(8):1566–1574, August 2000. * EBSCO 0503840 ga00aHAguirre.
Bibliography
103
[429] Hany H. Ammar and Yongyi Tao. Fingerprint registration using genetic algorithms. In Proceedings of
the 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology, pages
148–154, ?, 24.-25. March 2000. IEEE, Piscataway, NJ. ga00aHHAmmar.
[430] Haiping Hu, Weidong Hou, Hong Liu, and Yulong Mo. Construction of compactly supported biorthogonal
wavelet based on Human Visual System. In Mark S. Schmalz, editor, Mathematics and Applications of
Data/Image Coding, Compressing, and Encryption III, volume SPIE-4122, pages 194–201, ?, November
2000. The International Society for Optical Engineering. * www/SPIE Web ga00aHHu.
[431] Hamid Soltanian-Zadeh, Siamak Pourabdollah-Nezhad, and Farshid Rafiee Rad. Texture feature extraction
methods for microcalcification classification in mammograms. In Kenneth M. Hanson, editor, Medical
Imaging 2000: Image Processing, volume SPIE-3979, pages 982–989, ?, June 2000. The International
Society for Optical Engineering. * www/SPIE Web ga00aHSoltanian-Zadeh.
[432] Hanchuan Peng, Fuhui Long, Zheru Chi, David Dagan Feng, and Wanchi Siu. Hierarchical genetic image
segmentation algorithm based on histogram dichotomy. Electronics Letters, 36(10):872–874, 11. May 2000.
ga00aHanchuanPeng.
[433] Hong-Yan Li and Cheng-Ke Wu. Detecting dim point targets in image with genetic algorithm. Acta Aeronautica et Astronautica Sinica, 21(1):81–83, January 2000. (in Chinese) * A00-28663 ga00aHong-YanLi.
[434] Izidor Gertner and Igor V. Maslov. Heuristic approach to image registration. In Firooz A Sadjadi, editor,
Automatic Target Recognition X, volume SPIE-4050, pages 238–244, ?, August 2000. The International
Society for Optical Engineering. * www/SPIE Web ga00aIGertner.
[435] J. Louchet. Stereo analysis using individual evolution strategy. In A. Sanfeliu, J. J. Villanueva, M. Vanrell,
R. Alquezar, J.-O. Eklundh, and Y. Aloimonos, editors, 15th International Conference on Pattern Recognition, 2000, volume 1, pages 908–911, Barcelona, Spain, 3.-7.September 2000. IEEE, Piscataway, NJ. *
www/IEEE ga00aJLouchet.
[436] Jim Torresen. Scalable evolvable hardware applied to road image recognition. In Jason Lohn, Adrian
Stoica, Didier Keymeulen, and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvanle Hardware, pages 245–252, Palo Alto, CA, 13.-15. July 2000. IEEE Computer Society.
ga00aJimTorresen.
[437] Karl Benson, David Booth, James Cubillo, and Colin R. Reeves. Automatic detection of ships in spaceborne
SAR imagery. page 767, 2000. ga00aKBenson.
[438] Kim H. Yap and Ling Guan. Adaptive image restoration based on hierarchical neural networks. Optical
Engineering, 39(7):1877–1890, July 2000. * www/SPIE Web ga00aKHYap.
[439] K. Hachimura and A. Tojami. Image retrieval based on compositional features and interactive query
specification. In A. Sanfeliu, J. J. Villanueva, M. Vanrell, R. Alquezar, J.-O. Eklundh, and Y. Aloimonos,
editors, 15th International Conference on Pattern Recognition, 2000, volume 4, pages 262–266, Barcelona,
Spain, 3.-7.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aKHachimura.
[440] Keechul Jung and JungHyun Han. Stereo correspondence using GA-based segmentation. In Kwong Sak
Leung, Lai-Wan Chan, and Helen Meng, editors, Intelligent Data Engineering and Automated Learning IDEAL 2000, Data Mining, Financial Engineering, and Intelligent Agents, volume LNCS of 1983, pages
497–504, ?, ? 2000. Springer-Verlag Berlin Heidelberg. * www /Springer ga00aKJung.
[441] K. Minoshima, Kenjiro Komai, and T. Suezaki. Genetic algorithms for high-precision reconstructions of
three-dimensional topographies using stereo fractographs. Fatigue and Fracture of Engineering Materials
and Structures, 23(5):435–443, May 2000. * A01-24895 ga00aKMinoshima.
[442] Liviu I. Voicu, Mosleh Uddin, Harley R. Myler, Anthony Gallagher, and Julien Schuler. Cluster modeling
in infrared images using genetic programming. Optical Engineering, 39(9):2359–2371, September 2000. *
www/SPIE Web ga00aLIVoicu.
[443] Ligeng He, Yuyan Chao, Tsuyoshi Nakamura, and Hidenori Itoh. Genetic algorithm and fuzzy reasoning for
digital image compression using triangular plane patches. In Pal et al. [463], pages 183–204. ga00aLifengHe.
[444] Masafumi Hagiwara, Hironori Yokoo, Masami Kato, Ken Sakakibara, Yoshihisa Tadokoro, and Toshihiro
Kimura. Method for processing image, and method for extracting facial area and device therefor, 2000.
(JP patent no. 2000048184. Issued February 18 2000) * fi.espacenet.com ga00aMHagiwara.
[445] Mordechai Ido Ben and Moshe Levin. Method for optimization of video coverage, 2000. (WO patent no.
0056056. Issued September 21 2000) * fi.espacenet.com ga00aMIBen.
[446] Masami Kato and Takashi Miyasaki. Image processing apparatus and ,ethod, 2000. (EP patent no. 0 992
935. Issued April 12 2000) ga00aMKato.
104
[447] Matteo Pastorino, Andrea Massa, and Salvatore Caorsi. A microwave inverse scattering technique for image
reconstruction based on a genetic algorithm. IEEE Transactions on Instrumentation and Measurement,
49(3):573–578, June 2000. ga00aMPastorino.
[448] M. R. Stevens and J. R. Beveridge. Image comparison techniques in the context of scene refinement.
In A. Sanfeliu, J. J. Villanueva, M. Vanrell, R. Alquezar, J.-O. Eklundh, and Y. Aloimonos, editors,
15th International Conference on Pattern Recognition, 2000, volume 1, pages 685–688, Barcelona, Spain,
3.-7.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aMRStevens.
[449] M. Sasikala and N. Kumaravel. Optimal autoregressive model based medical image compression using
genetic algorithm. Biomed. Sci. Instrum., 36(?):177–182, ? 2000. * PubMed10834229 ga00aMSasikala.
[450] Ming Li and Ziaoqin Yang. Edge detection by evolutionary optimization and evolutionary minimization
of cost function. In Jinfa Tang, Chao-Nan Xu, and Haizhang Li, editors, Advanced Photonic Sensors:
Technology and Applications, volume SPIE-4220, pages 277–280, ?, October 2000. The International Society
for Optical Engineering. * www/SPIE Web ga00aMingLi.
[451] Moritoshi Yasunaga, Taro Nakamura, Jung H. Kim, and Ikuo Yoshihara. Kernel-based pattern recognition hardware: its design methology using evolved truth tables. In Jason Lohn, Adrian Stoica, Didier Keymeulen, and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop
on Evolvanle Hardware, pages 253–262, Palo Alto, CA, 13.-15. July 2000. IEEE Computer Society.
ga00aMoritoshiYasunaga.
[452] N. D. Doulamis, A. D. Doulamis, Y. S. Avrithis, K. S. Ntalianis, and S. D. Kollias. Efficient summarization of stereoscopic video sequences. IEEE Transactions on Circuit and Systems for Video Technology,
10(4):501–517, June 2000. * www/IEEE ga00aNDDoulamis.
[453] Patrick Chiu, Andreas Girgensohm, Wolf Polak, Eleanor Rieffel, Lynn Wilcox, and Forrest H. Bennett III.
A genetic segmentation algorithm for image data streams and video. pages 666–673, 2000. ga00aPChiu.
[454] Peter J. B. Hancock. Evolving faces from principal components. Behavior Research Methods, Instruments
and Computers, 32(2):327–333, May 2000. * PsycINFO 2000-12007-016 ga00aPJBHancock.
[455] P. J. Hancock. Evolving faces from principal components. Behav. Res. Methods Instrum. Comput.,
32(2):327–333, May 2000. * PubMed10875181 ga00aPJHancock.
[456] Patrick J. Rauss, Jason M. Daida, and Shahbaz Chaudhary. Classification of spectral imagery using genetic
programming. pages 726–733, 2000. ga00aPJRauss.
[457] Rudi Bartels. Device-dependent screen optimization using evolutionary computing. In Reiner Eschbach
and Gabriel G. Marcu, editors, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic
Arts VI, volume SPIE-4300, pages 386–396, ?, December 2000. The International Society for Optical
Engineering. * www/SPIE Web ga00aRBartels.
[458] R. Olmi, M. Bini, and S. Priori. A genetic algorithm approach to image reconstruction in electrical impedance tomography. IEEE Transactions on Evolutionary Computation, 4(1):83–88, April 2000.
ga00aROlmi.
[459] Ron Levy, Stefano Lepri, Eduardo Sanchez, Gilles Ritter, and Moshe Sipper. State of the art: An evolving
FPGA-based board for handwritten-digit recognition. In Jason Lohn, Adrian Stoica, Didier Keymeulen,
and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvanle Hardware,
pages 237–243, Palo Alto, CA, 13.-15. July 2000. IEEE Computer Society. ga00aRonLevy.
[460] Simon C. Roberts and Daniel Howard. Genetic programming for image analysis: orientation detection.
pages 651–657, 2000. ga00aSCRoberts.
[461] Suman K. Mitra, C. A. Murthy, and M. K. Kundu. Image compression and edge extraction using fractal
technique and genetic algorithm. In Pal et al. [463], pages 79–100. ga00aSKMitra.
[462] Shixin Yu, Steve De Backer, and Paul Scheunders. Genetic feature selection combined with fuzzy kNN for
hyperspectral satellite imagery. In Proceedings. IEEE 2000 International Geoscience and Remote Sensing
Symposium. IGARSS, volume 2, pages 702–704, Honolulu, HI, USA, 24.-28.July 2000. IEEE, Piscataway,
NJ. * www/IEEE ga00aSYu.
[463] Sankar K. Pal, Ashish Ghosh, and Malay K. Kundu, editors. Physica-Verlag, Heidelberg (Germany), 2000.
ga00aSankarKPal.
[464] Shinn-Ying Ho and Kual-Zheng Lee. A simple and fast GA-SA hybrid image segmentation algorithm.
pages 718–725, 2000. ga00aShinn-YingHo.
[465] Shiu Yin Yuen and Chi Ho Ma. Genetic algorithm with competitive image labelling and least square.
Pattern Recognition, 33(12):1949–1966, December 2000. ga00aShiuYinYuen.
Bibliography
105
[466] Stan Z. Li. Toward global solution to MAP image restoration and segmentation: using common structure
of local minima. Pattern Recognition, 33(4):715–723, April 2000. * www /ScienceDirect ga00aStanZLi.
[467] Steven P. Brumby, Neal R. Harvey, Simon Perkins, Reid B. Porter, John J. Szymanski, James Theiler,
and Jeffrey J. Bloch. A genetic algorithm for combining new and existing image processing tools for
multispectral imagery. In ?, editor, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery
VI, volume SPIE-4049, pages 480–490, Orlando, FL, 24. -26. April 2000. The International Society for
Optical Engineering, Bellingham, WA. * A01-17496 ga00aStevenPBrumby.
[468] T. Jiang and F. Kruggel. 3D image restoration by combining local genetic algorithm with adaptive preconditioning. In A. Sanfeliu, J. J. Villanueva, M. Vanrell, R. Alquezar, J.-O. Eklundh, and Y. Aloimonos,
editors, 15th International Conference on Pattern Recognition, 2000, volume 1, pages 298–301, Barcelona,
Spain, 3.-7.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aTJiang.
[469] Tamás Szirányi, Josiane Zerubia, Lászlo Czúni, David Geldreich, and Zoltá Kato. Image segmentation
using Markov random field model in fully parallel cellular netowork architectures. Real-Time Imaging,
6(?):195–211, ? 2000. ga00aTamasSziranyi.
[470] V. Lakshmanan, R. Rabin, and V. DeBrunner. Indentifying and tracking storms in satellite images. In 10th
Conference on Satellite Meteorology and Oceanography, pages 171–176, Long Beach, CA, 9.-14. January
2000. American Meteorological Society, Boston, MA. * A01-12884 ga00aVLakshmanan.
[471] V. Susheela Devi and M. Narasimha Murty. Handwritten digit recognition using soft computing tools. In
Pal et al. [463], pages 507–204. ga00aVSDevi.
[472] Vitorino Ramos and Fernando Muge. Map segmentation by color cube genetic k-mean clustering. In
J. Borbinha and T. Baher, editors, Proceedings of the ECDL’2000, 4th European Conference on Research
and Advanced Technology for Digital Libraries, volume 1923 of Lecture Notes in Computer Science, pages
319–323, Lisbon (Portugal), 18.-20. September 2000. Springer-Verlag, Heidelberg. ga00aVitorinoRamos.
[473] William M. Stiteler IV and Paul F. Hopkins. Using genetic algorithms to select tree crown templates for
finding trees in digital imagery. In Proceedings of the 2000 Meeting of the Americal Society for Photogrammetry and Remote Sensing (ASPRS 2000), volume ?, page ?, Washington, DC, 22.-26. May 2000. Americal
Society for Photogrammetry and Remote Sensing. ga00aWMStiteler.
[474] Xiaoqin Yang and Ming Li. Using Hopfield neural network and 2D evolutionary operators to detect image
edge. In Feijun Song, Frank Chen, Michael Y. Hung, and H. M. Shang, editors, Optical Measurement and
Nondestructive Testing: Techniques and Applications, volume SPIE-4221, pages 292–295, ?, October 2000.
The International Society for Optical Engineering. * www/SPIE Web ga00aXYang.
[475] Xiaoyuan Li, Tetsuji Kodama, and Yoshiki Uchikawa. A reconstruction method of surface morphology with
genetic algorithms in the scanning electron microscope. Journal of Electron Microscopy, 49(5):599–606,
2000. ga00aXiaoyuanLi.
[476] Yasuo Takehisa, Hidenori Sakanashi, and Tetsuya Higuchi. Adaptive wavelet transform for lossless compression using genetic algorithm. pages 259–266, 2000. ga00aYasuoTakehisa.
[477] Brian J. Ross, Frank Fueten, and Dmytro Y. Yashkir. Edge detection of petrographic images using genetic
programming. pages 658–665, 2000. ga00bBJRoss.
[478] Pasi Fränti and Juha Kivijärvi. Randomised local search algorithm for the clustering problem. Pattern
Analysis & Applications, 3(4):358–369, ? 2000. †Kivijarvi ga00bFranti.
[479] Suman K. Mitra, C. A. Murthy, and Malay K. Kundu. A technique for image magnification using partitioned iterative function system. Pattern Recognition, 33(?):1119–1133, ? 2000. ga00bSKMitra.
[480] Sankar K. Pal, Ashish Ghosh, and Malay K. Kundu. Soft computing and image analysis: features, relevance
and hybridization. In Soft Computing for Image Processing [463], pages 1–20. ga00bSankarKPal.
[481] Vitorino Ramos and Fernando Muge. Image color segmentation by genetic algorithm. In Aurélio C.
Campilho and A. M. Mendonça, editors, RecPad’2000, 11th Portuguese Conference on Pattern Recognition,
pages 125–129, Porto (Portugal), 11.-12. May 2000. ? ga00bVitorinoRamos.
[482] Vitorino Ramos. The biological concept of neoteny in evolutionary computation – simple experiments in
simple non-memetic genetic algorithms. In Fernando Muge, Moiss Piedade, and R. Caldas Pinto, editors,
5th IberoAmerican Symposium on Pattern Recognition, pages 69–78, Lisbon (Portugal), 11.-13. September
2000. ? ga00cVitorinoRamos.
[483] A. Bavilacqua, R. Campanini, and N. Lanconelli. Optimization of a distributed genetic algorithm on a
cluster of workstations for the detection of microcalcification. International Journal of Modern Physics C,
12(1):55–70, January 2001. †INSPEC 6940976 ga01aABevilacqua.
106
[484] A. I. González, Manuel Graña, J. Ruiz Cabello, A. D’Anjou, and F. X. Albizuri. Evolutionary algorithms.
Information Sciences, 133(?):249–266, ? 2001. * TKKpaa ga01aAIGonzalez.
[485] Alan Pilch, Ajay Mahajan, and Tsuchin Chu. Intelligent image correlation using genetic algorithms for
measuring surface displacements and deformations. In ?, editor, Proceedings of the ASME 2001 IMECE,
volume 2, page ?, New York, NY, November 2001. ASME. †[580] ga01aAlanPilch.
[486] Chao-Tsung Hsiao, Georges Chahine, and Nail Gumerov. Application of a hybrid genetic/Powell algorithm
and a boundary element method to electrical impedance tomography. Journal of Computational Physics,
173(2):433–454, November 2001. ga01aC-THsiao.
[487] Cristian Munteanu and Agostinho Rosa. Evolutionary image enhancement with user behavior modeling.
ACM SIGAPP Applied Computing Review, 9(1):8–14, Spring 2001. ga01aCMunteanu.
[488] C. Thiébaut and M. Boër. A new field-matching method for astronomical images. In F. R. Harnden, Jr.,
Francis A. Primini, and Harry E. Payne, editors, Astronomical Data Analysis Software and Systems X,
ASP Conference Proceedings, volume 238, page ?, San Francisco, CA, January 2001. Astronomical Society
of the Pacific. †NASA ADS ga01aCThiebaut.
[489] Chuxiang Li, Jianhua Lu, Jinshu Chen, and Jun Gu. Adaptive genetic algorithm for block-matching
motion estimation. In Franklin T. Luk, editor, Advanced Signal Processing Algorithms, Architectures, and
Implementations XI, volume SPIE-4474, pages 438–445, ?, November 2001. The International Society for
Optical Engineering. * www/SPIE Web ga01aChuxiangLi.
[490] George K. Matsopoulos, Konstantinos K. Delibasis, and Nicolaos A. Mouravliansky. Ch. 19: Medical image
registration and fusion techniques: A review. In Stergios Stergiopoulos, editor, Advanced Signal Processing
Handbook, page ? CRC Press LLC, Boca Raton, FL, 2001. ga01aGKMatsopoulos.
[491] Hua-Mei Chen and Pramod K. Varshney. Cooperative search algorithm for mutual-information-based image registration. In Belur V. Dasarathy, editor, Sensor Fusion: Architectures, Algorithms, and Applications
V, volume SPIE-4385, pages 117–128, ?, March 2001. The International Society for Optical Engineering.
* www/SPIE Web ga01aH-MChen.
[492] Hamid Soltanian-Zadeh, Siamak Pourabdollah-Nezhad, and Farshid Rafiee Rad. Shape-based and texturebased feature extraction for classification of microcalfications in mammograms. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing, volume SPIE-4322, pages 301–310, ?,
July 2001. The International Society for Optical Engineering. * www/SPIE Web ga01aHSoltanian-Zadeh.
[493] Igor V. Maslov and Izidor Gertner. Gradient-based genetic algorithms in image registration. In Firooz A.
Sadjadi, editor, Automatic Target Recognition XI, volume SPIE-4379, pages 509–520, ?, October 2001.
The International Society for Optical Engineering. * www/SPIE Web ga01aIVMaslov.
[494] Jian-Der Lee. Three-view matching algorithm for multipolyhedron reconstruction using genetic algorithm.
Comput. Math. Appl., 42(10-11):1465–1483, ? 2001. †www /MathRev1861542 ga01aJ-DLee.
[495] J. David Schaeffer, Keith E. Mathias, and Larry J. Eshelman. Code compaction by evolutionary algorithm, 2001. (U. S. patent no. 6,260,031. Issued July 10 2001; available via www URL:
http://appft1.uspto.gov/netahtml/PTO/search-adv.html) ga01aJDSchaeffer.
[496] Jordi Inglada and Frédéric Adragna. Automatic multi-sensor image registration by edge matching using genetic algorithms. In Proceedings of the IEEE 2001 International Geoscioence and REmote Sensing Symposium (IGARSS’01), volume 5, pages 2313–2315, ?, 9.-13. July 2001. IEEE, Piscataway, NJ.
ga01aJInglada.
[497] Jean Louchet. Using an individual evolution strategy for stereovision. Genetic Programming and Evolvable
Machines, 2(2):101–109, June 2001. †www /Banzhaf ga01aJeanLouchet.
[498] Jim X. Chen and Shuangbao Wang. Data visualization: parallel coordinates and dimension reduction.
Computing in Science & Engineering, 3(5):110–113, September-October 2001. ga01aJimXChen.
[499] Junfei Li and Hao Ling. ISAR motion detection and compensation using genetic algorithms. In Harold H.
Szu, David L. Donoho, Adlof W. Lohmann, William J. Campbell, and James R. Buss, editors, Wavelet
Applications VIII, volume SPIE-4391, pages 380–388, ?, March 2001. The International Society for Optical
Engineering. * www/SPIE Web ga01aJunfeiLi.
[500] Kwok-Wai Wong, Kin-Man Lam, Wan-Chi Siu, and Kai-Ming Tse. Face segmentation and facial feature
tracking for videophone application. In Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, volume ?, pages 518–521, Hong Kong, China, 2.-4.May 2001. IEEE,
Piscataway, NJ. * www/IEEE ga01aK-WWong.
Bibliography
107
[501] Lucien G. Frisch. System and method for improving digital video utilizing genetic image evolution, 2001.
(WO patent no. 0137553. Issued May 25 2001) * fi.espacenet.com ga01aLGFricsh.
[502] Li Pan, Jianqing Zhang, and Zuxun Zhang. Color image enhancement based on adaptive saturation
feedback using genetic algorithm. In Qingxi Tong, Yaoting Zhu, and Zhenfu Zhu, editors, Multispectral
and Hyperspectral Image Acquisition and Processing, volume SPIE-4548, pages 248–251, ?, September
2001. The International Society for Optical Engineering. * www/SPIE Web ga01aLPan.
[503] Lei Wang and Tingzhi Shen. Improved adaptive genetic algorithm and its application to image segmentation. In Tianxu Zhang, Bir Bhanu, and Ning Shu, editors, Image Extraction Segmentation, and Recognition,
volume SPIE-4550, pages 115–120, ?, September 2001. The International Society for Optical Engineering.
* www/SPIE Web ga01aLWang.
[504] Lin Yu Tseng and Shiueng Bien Yang. A genetic approach to the automatic clustering problem. Pattern
Recognition, 34(2):415–424, February 2001. ga01aLinYuTseng.
[505] Lucia Ballerini. Genetic snakes for color images segmentation. In Egbert J. W. Boers, Jens Gottlieb,
Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, and Harald Tijink,
editors, Applications of Evolutionary Computing, EvoWorkshops2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Proceedings, volume 2037 of Lecture Notes in Computer Science, pages 268–277,
Milan (Italy), 18.-20. April 2001. Springer-Verlag, Heidelberg. ga01aLuciaBallerini.
[506] Mohammad Jamshidi. Autonomous control systems: applications to remote sensing and image processing.
In Bahram Javidi and Demetri Psaltis, editors, Algorithms and Systems for Optical Information Processing
V, volume SPIE-4471, pages 1–8, ?, November 2001. The International Society for Optical Engineering. *
www/SPIE Web ga01aMJamshidi.
[507] Michael S. Lew. chapter Feature Selection and Visual Learning, pages 153–161. Springer-Verlag, London
(UK), 2001. ga01aMSLew.
[508] Timo Mantere and Jarmo T. Alander. Testing halftoning methods by images generated by genetic
algorithms. Arpakannus, (1):39–44, 2001. (available via www URL: http://www.uwasa.fi/stes/)
ga01aMantere.
[509] Peter A. Fridman. Adaptive image enhancement in the presence of aperture phase errors using genetic
algorithms. In Jean-Luc Starck and Fionn D. Murtagh, editors, Astronomical Data Analysis, volume SPIE4477, pages 114–122, ?, November 2001. The International Society for Optical Engineering. * www/SPIE
Web ga01aPAFridman.
[510] P. Aarabi, D. Hughes, K. Mohajer, and M. Emami. The automatic measurement of facial beauty. In
Proceedings of the 2001 IEEE International Conference on System, Man, and Cybernetics, volume 4,
pages 2644–2647, Tuczon, AZ, 7.-10 October 2001. IEEE, Piscataway, NJ. * www /IEEE ga01aPAarabi.
[511] Prachya Chalermwat, Tarek El-Ghazawi, and Jacqueline LeMoigne. 2-phase GA-based image registration
on parallel clusters. Future Generation Computer Systems, 17(?):467–476, ? 2001. ga01aPChalermwat.
[512] Peter Fridman. Radio astronomy image enhancement in the presence of phase errors using genetic algorithms. In 2001 International Conference on Image Processing, volume 2, pages 612–615, Thessaloniki,
Greece, 7.-10. October 2001. IEEE, Piscataway, NJ. ga01aPFridman.
[513] Qiang Ji and Yongmian Zhang. Camera calibration with genetic algorithms. IEEE Transactions on
Systems, Man and Cybernetics - Part A: Systems and Human, 31(2):120–130, March 2001. ga01aQJi.
[514] Richard Myers and Edwin R. Hancock. Least-commitment graph matching with genetic algorithms. Pattern Recognition, 34(2):375–394, February 2001. ga01aRichardMyers.
[515] Shinn-Yin Ho and Hui-Ling Huang. Facial modeling from an uncalibrated face image using flexible generic
parameterized facial models. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics,
31(5):706–719, October 2001. ga01aS-YHo.
[516] Shengwu Xiong and Jinglei Guo. Evolutionary algorithm for compression of gray-scale images. In Yair
Cencor and Mingyue Ding, editors, Visualization and Optimization Techniques, volume SPIE-4553, pages
392–397, ?, September 2001. The International Society for Optical Engineering. * www/SPIE Web
ga01aSXiong.
[517] Stan Z. Li. 9.4 Genetic algorithms, pages 261–268. Computer Science Workbench. Springer-Verlag, Berlin,
2001. ga01aStanZLi.
[518] Thomas Adrian Carpenter, Richard Ansorge, and Guy Barnett Williams. Imaging system component
design, 2001. (WO patent no. 0122300. Issued March 29 2001) * fi.espacenet.com ga01aTACarpenter.
108
[519] T. Ravindra Babu and M. Narasimha Murty. Comparison of genetic algorithm based prototype selection
schemes. Pattern Recognition, 34(2):523–525, February 2001. ga01aTRavindraBabu.
[520] Tingzhi Shen and Lei Wang. Adaptive approach to small-object segmentation. In Tianxu Zhang, Bir
Bhanu, and Ning Shu, editors, Image Extraction, Segmentation, and Recognition, volume SPIE-4550,
pages 394–399, ?, September 2001. The International Society for Optical Engineering. * www/SPIE Web
ga01aTShen.
[521] Vidya B. Manian, Armando Vega, and Ramon E. Vasquez. Comparison of feature selection algorithms for
texture image classification. In Stephen K. Park, Zia ur Rahman, and Robert A. Schowengerdt, editors,
Visual Information Processing X, volume SPIE-4388, pages 56–64, ?, August 2001. The International
Society for Optical Engineering. * www/SPIE Web ga01aVBManian.
[522] Vitorino Ramos. The biological concept of neoteny in evolutionary color image segmentation - simple
experiments in simple non-memetic genetic algorithms. In Egbert J. W. Boers, Jens Gottlieb, Pier Luca
Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, and Harald Tijink, editors,
Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn,
and EvoSTIM, volume 2037 of Lecture Notes in Computer Science, pages 364–373, Como (Italy), 18.20. April 2001. Springer-Verlag, Berlin. ga01aVitorinoRamos.
[523] Wen-Jyi Hwang, Ray-Shine Lin, and Chung-Kun Wu. Robust layered image transmission based on genetic
programming for noisy channels. Optical Engineering, 40(2):245–251, February 2001. * www/SPIE Web
ga01aW-JHwang.
[524] Cristian Munteanu and Agostinho Rosa. Evolutionary image enhancement with user behavior modeling.
In Proceedings of the 2001 ACM Symposium on Applied Computing SAC2001, pages 316–320, Las Vegas,
NV, ? 2001. ACM. ga01bCMunteanu.
[525] Mario Köppen, Bertram Nickolay, and Hendrik Treugut. Genetic algorithm based heuristic measure for
pattern similarity in Kirlian photographs. In Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E.
Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, and Harald Tijink, editors, Applications of
Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM,
volume LNCS of 2037, pages 317–324, Como (Italy), 18.-20. April 2001. Springer-Verlag Berlin Heidelberg.
* www /Springer ga01bMKoppen.
[526] Peter A. Fridman. Optimal array configuration search using genetic algorithm. In Andrew G. Tescher,
editor, Applications of Digital Image Processing XXIV, volume SPIE-4472, pages 518–527, ?, December
2001. The International Society for Optical Engineering. * www/SPIE Web ga01bPAFridman.
[527] Alain Pitiot, Arthur W. Toga, and Paul M. Thompson. Adaptive elastic segmentation of brain MRI via
shape-model-guided evolutionary programming. IEEE Transactions on Medical Imaging, 21(8):910–923,
August 2002. ga02aAlainPitiot.
[528] Alan B. Bond and Alan C. Kamil. Visual predators select for crypticity and polymorphism in virtual prey.
Nature, 415(6872):609–613, 7. February 2002. ga02aAlanBBond.
[529] Byoung-Ki Jeon, Jeong-Hun Jang, and Ki-Sang Hong. Road detection in spaceborne SAR images using
a genetic algorithm. IEEE Transactions on Geoscience and Remote Sensing, 40(1):22–29, January 2002.
ga02aB-KJeon.
[530] George Bebis, Sushil Louis, Yaakov Varol, and Angelo Yfantis. Genetic object recognition using combinations of views. IEEE Transactions on Evolutionary Computation, 6(2):132–146, April 2002. ga02aGBebis.
[531] Gustavo Olague and Roger Mohr. Optimal camera placement for accurate reconstruction. Pattern Recognition, 35(4):927–944, April 2002. ga02aGOlague.
[532] H. Nishikado, H. Murata, M. Yamaji, and H. Yamauchi. Blurred image restoration by using real-coded
genetic algorithm. IEICE Transactions on Fundamentals of Electronics Communications and Computer
Sciences, E85A(9):2118–2126, September 2002. * www /ISI ga02aHNishikado.
[533] Hani Mahdi and Aly A. Farag. Image registration in multispectral data sets. In Proceedings of the 2002
International Conference on Image Processing (ICIP’02), volume 2, pages 369–372, ?, 22.-25. September
2002. IEEE, Piscataway, NJ. ga02aHaniMahdi.
[534] J. R. Evans and T. Arslan. The implementation of an evolvable hardware system for real time image
registration on a system-on-chip platform. In Proceedings of the NASA/DoD Conference on Evolvable
Hardware (EH’02), pages 142–146, ?, 15.-18. July 2002. IEEE, Piscataway, NJ. ga02aJREvans.
[535] Kim-Hui Yap and Ling Guan. A computational reinforced learning scheme to blind image deconvolution.
IEEE Transactions on Evolutionary Computation, 6(1):2–15, February 2002. ga02aK-HYap.
Bibliography
109
[536] Lucia Ballerini and L. Bocchi. Segmentation of liver images by texture and genetic snakes. In ?, editor,
Proceedings of the EMBEC’02, European Medical and Biological Engineering Conference, pages 1096–1097,
Vienna (Austria), 4.-8. December 2002. ? †www /Ballerini ga02aLBallerini.
[537] Mara Elizabeth Jones and Arvin Agah. Evolution of digital images. IEEE Transactions on Systems, Man,
and Cybernetics-Part C: Applications and Reviews, 32(3):261–271, August 2002. ga02aMaraEJones.
[538] Renaud Debon, Basel Solaiman, Jean-Michel Cauvin, Michel Robaszkiewicz, and Christian Roux. Fuzzy
propositions weighted by veracities of how to relate fuzzy logic and probability theory for segmentation
of ultrasound images. In Belur V. Dasarathy, editor, Data Mining and Knowledge Discovery: Theory,
Tools, and Technology IV, volume SPIE-4730, pages 334–345, ?, March 2002. The International Society
for Optical Engineering. * www/SPIE Web ga02aRDebon.
[539] Shixin Yu, Steve De Backer, and Paul Scheunders. Genetic feature selection combined with composite
fuzzy nearest neighbor classifiers for hyperspectral satellite imagery. Pattern Recognition Letters, 23(13):183–190, January 2002. †www /Elsevier ga02aSYu.
[540] Shixin Yu, Steve De Backer, and Paul Scheunders. Genetic feature selection combined with composite
fuzzy nearest neighbor classifiers for hyperspectral satellite imagery. Pattern Recognition Letters, 23(13):183–190, January 2002. ga02aShixinYu.
[541] Sung-Bae Cho and Joo-Young Lee. A human-oriented image retrieval system using interactive genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 32(3):452–
458, May 2002. ga02aSung-BaeCho.
[542] Timo Mantere and Jarmo T. Alander. Testing halftoning methods using genetic algorithms - comparing
results using Haar wavelet filtering. pages 103–108, 2002. ga02aTMantere.
[543] T. S. Douglas, S. E. Solomonidis, W. A. Sandham, and W. D. Spence. Ultrasound image matching
using genetic algorithms. Medical & Biological Engineering & Computing, 40(2):168–172, March 2002.
ga02aTSDouglas.
[544] Ying Chen, Richard R. Brooks, S. Sitharama Iyengar, Nageswara S. V. Rao, and Jacob Barhen. Efficient global optimization for image registration. IEEE Transactions on Knowledge and Data Engineering,
14(1):79–92, January-February 2002. ga02aYChen.
[545] Ying Chen, Richard R. Brooks, S. Sitharama Iyengar, Nageswara S. V. Rao, and Jacob Barhen. Efficient global optimization for image registration. IEEE Transactions on Knowledge and Data Engineering,
14(1):79–92, January/February 2002. ga02aYingChen.
[546] Yong Fan, Tianzi Jiang, and David J. Evans. Volumetric segmentation of brain images using parallel
genetic algorithm. IEEE Transactions on Medical Imaging, 21(8):904–909, August 2002. ga02aYongFan.
[547] Zümray Dokur, Mehmet Nadir Kurnaz, and Tamer Ölmez. Segmentation of ultrasound images by using quantizer neural network. In ?, editor, Proceedings of the 15th IEEE International Symposium on
Computer-Based Medical Systems, pages 257–261, ?, 4.-7. June 2002. IEEE Computer Society, Piscataway,
NJ. ga02aZDokur.
[548] J. R. Evans and T. Arslan. Implementation of a robust image registration algorithm on an ARM system-onchip platform. In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS’02),
pages 269–272, ?, 26.-29. May 2002. IEEE, Piscataway, NJ. ga02bJREvans.
[549] Yong Fan, Tianzi Jiang, and David J. Evans. Medical image registration using parallel genetic algorithms.
In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors, Applications of Evolutionary
Computing, Proceedings, volume 2279 of Lecture Notes in Computer Science, pages 304–314, ?, ? 2002.
Springer-Verlag, Heidelberg. †www /ISI ga02bYongFan.
[550] Ayman El-Baz, Aly A. Farag, Robert Falk, and Renato La Rocca. A unified approach for detection,
visualization, and identification of lung abnormalities in chest spiral CT scans. pages 998–1004.
[551] Craig C. Ewert and Yakov Keselman. Evolving ANN for edge detection. In ?, editor, Proceedings of the
DePaul CTI Research Symposium, page ?, ?, 8. November 2003. ? ga03aCCEwert.
[552] Daniel Rivero, Rafael Vidal, Julián Dorado, Juan R. Rabuñal, and Alejandro Pazos. Restoration of old
documents with genetic algorithms. In Stefano Cagnoni, Juan J. R. Cardalda, Jens Gottlieb, Agneès
Guillot, Emma Hart, Colin G. Johnson, Elena Marchiori, Jean-Arcady Meyer, Martin Middendorf, and
Günther R. Raidl, editors, Applications of Evolutionary Computing, Proceedings of EvoWorkshops 2003:
EvoBIO, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, volume LNCS-2611, pages 432–443, Essex
(UK), 14.-16. April 2003. Springer-Verlag, Berlin. ga03aDanielRivero.
110
[553] Emi Myodo, Hernán Aguirre, and Kiyoshi Tanaka. Improved image halftoning technique using GAs with
concurrent interblock evaluation. In ?, editor, Genetic and Evolutionary Computation - GECCO 2003,
Proceedings, volume 2724 of Lecture Notes in Computer Science, pages 2264–2276, ?, ? 2003. SpringerVerlag, Heidelberg. ga03aEMyodo.
[554] Gregory W. Cantwell. Data compression algorithms for the geosynchronous imaging Fourier transform
spectrometer. PhD thesis, Utah State University, 2003. * www /UMI ga03aGWCantwell.
[555] Hongliang Fang, Shunlin Liang, and Andres Kuusk. Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model. Remote Sensing of Environment, 85(3):257–270, ? 2003.
ga03aHongliangFang.
[556] Joao Camargo Neto, George E. Meyer, David D. Jones, and Alvin J. Surkan. Adaptive image segmentation
using a fuzzy neural network and genetic algorithm for weed detection. In ?, editor, Proceedings of the
2003 ASAE Annual Meeting, page paper number 033088, ?, ? 2003. ASABE. †ASABE ga03aJCNeto.
[557] Juha Kivijärvi, Pasi Fränti, and Olli Nevalainen. Self-adaptive genetic algorithm for clustering. Journal
of Heuristics, 9(2):113–129, ? 2003. †Kivijarvi ga03aJKivijarvi.
[558] Jonathan S. Arney and Peter G. Anderson. Optimizing halftone masks with genetic algorithms and printer
model. In ?, editor, Proceedings of the International Conference on Digital Printing Technologies (NIP
19), volume ?, page ?, New Orleans, Fall 2003. ? (available via www URL: http://www.cs.rit.edu/ pga)
†www /Anderson ga03aJSArney.
[559] Jong Bae Kim and Hang Joon Kim. Region removal and restoration using a genetic algorithm with isophote
constraint. Pattern Recognition Letters, 24(9-10):1303–1316, June 2003. ga03aJongBaeKim.
[560] K. Karahaliloglu, S. Balkir, S. Pramanik, and S. Bandyopadhyay. A quantum dot image processor. IEEE
Transactions on Electron Devices, 50(7):1610–1616, July 2003. * www /ISI ga03aKKarahaliloglu.
[561] Lucia Ballerini and L. Bocchi. Multiple genetic snakes for bone segmentation. In Raidl et al, editor,
Applications of Evolutionary Computing, volume 2611 of LNCS, pages 346–356, Essex (UK), 14.-16. April
2003. Springer-Verlag, Berlin. †www /Ballerini ga03aLBallerini.
[562] M. I. Quintana, Riccardo Poli, and Ela Claridge. On two approaches to image processing algorithm
design for binary images using GP. In S. Cagnoni etal, editor, Applications of Evolutionary Computation,
Proceedings of the EvoIASP, volume 2611 of Lecture Notes in Computer Science, pages 426–435, ?, ?
Springer-Verlag, Heidelberg.
[563] M. Roberts and Ela Claridge. An artificially evolved vision system for segmenting skin lesion images. In
R. E. Ellis and T. M. Peters, editors, Proceedings of the 6th International Conference on Medical Image
Computing and Computer-Assisted Intervention (MICCAI), volume 2878 of Lecture Notes in Computer
Science, pages 655–662, ?, ? Springer-Verlag, Heidelberg.
[564] Ma Shaopeng and Jin Guanchang. Digital speckle correlation method improved by genetic algorithm. Acta
Mechanica Solida Sinica, 16(4):366–373, December 2003. ga03aMaShaopeng.
[565] N. P. Castellanos, P. L. Del Angel, and V. Medina. A hierarchical nonrigid image registration technique
based on local deformations. In Proceedings of the 25th Annual International Conference of the IEEE
EMBS, volume 1, pages 595–598, ?, 17.-21. September 2003. IEEE, Piscataway, NJ. ga03aNPCastellanos.
[566] O. Cordón, S. Damas, and J. Santamarı́a. A CHC evolutionary algorithm for 3D image registration. In
T. Bilgic, B. DeBaets, and O. Kaynak, editors, Fuzzy Sets and Systems - IFSA 2003, Proceedings, volume
2715 of Lecture Notes in Artificial Intelligence, pages 404–411, ?, ? 2003. Springer-Verlag, Heidelberg. *
www /ISI ga03aOCordon.
[567] Peter G. Anderson, Jonathan S. Arney, Samuel A. Inverso, Daniel R. Kunkle, Timothy M. Lebo, and
Chadd Merrigan. A genetic algorithm search for improved halftone masks. In ?, editor, Proceedings
of the 2003 ANNIE, volume ?, page ?, St. Louis, MO, November 2003. ? (available via www URL:
http://www.cs.rit.edu/ pga) ga03aPGAnderson.
[568] Renaud Séguier and Nicolas Cladel. Multiobjectives genetic snakes: application on audio-visual speech
recognition. In ?, editor, Proceedings of the 4th EURASIP Conference focused on Video, Image Processing
and Multimedia Communications, volume ?, page ?, ?, ? 2003. ? ga03aRSeguier.
[569] Simon M. Lucas. Evolving finite state transducers: some initial explorations. In Conor Ryan, Terence
Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto Costa, editors, Genetic programming,
6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lecture Notes in Computer Science,
pages 130–141, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin. ga03aSMLucas.
Bibliography
111
[570] Shaopeng Ma and Guanchang Jin. Digital speckle correlation method improved by genetic algorithm. Acta
Mechanica Solida Sinica, 16(4):366–373, December 2003. * www /Google ga03aShaopengMa.
[571] Wen-Bing Tao, Jin-Wen Tian, and Jian Liu. Image segmentation by three-level thresholding based on
maximum fuzzy entropy and genetic algorithm. Pattern Recognition Letters, 24(16):3069–3078, December
2003. * TKK/TKO ga03aWen-BingTao.
[572] Ying Li, Yan-Ning Zhang, Rong-Chun Zhao, and Li-Cheng Jiao. A new method for edge detection. In
Proceedings of the 2003 IEEE International Conference on Machine Learning and Cybernetics, volume 3,
pages 1780–1784, ?, 2.-5. November 2003. IEEE, Piscataway, NJ. ga03aYingLi.
[573] Luciano Silva, Olga Regina Pereira Bellon, and Kim L. Boyer. Robust multiview range image registration. In Proceedings of the XVI Brazilian Symposium on Computer Graphics and Image Processing
(SIBGRAPI’03), pages 307–314, ?, 12.-15. October 2003. IEEE, Piscataway, NJ. ga03bLucianoSilva.
[574] M. Roberts and Ela Claridge. An artificially evolved vision system for segmenting skin lesion images. In
D. Barber, editor, Medical Image Understanding and Analysis, pages 185–188, ?, ? ?
[575] Timo Mantere and Jarmo T. Alander. Generating and testing halftoning filters co-evolutionarily. In P. R.
Stavrou, editor, Proceedings of the WSEAS Conference in 2002, Singapore, 9.-12. December 2002 2003.
WSEAS. (available on CD) ga03bMantere.
[576] Peter G. Anderson, Jonathan S. Arney, Samuel A. Iverso, Daniel R. Kunkle, Timothy M. Lebo, and Chadd
Merrigan. Good halftone masks via genetic algorithms. In ?, editor, Proceedings of the 2003 Western New
York Image Processing Workshop, volume ?, page ?, Rochester, NY, 17. October 2003. ? (available via
www URL: http://www.cs.rit.edu/ pga) ga03bPGAnderson.
[577] Renaud Séguier and Nicolas Cladel. Genetic snakes: application on lipreading. In ?, editor, Proceedings of
the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA), volume ?,
page ?, ?, ? 2003. ? ga03bRSeguier.
[578] Luciano Silva, Olga Regina Pereira Bellon, and Kim L. Boyer. Enhanced, robust genetic algorithms for
multiview range image registration. In Proceedings of the 4th International Conference on 3-D Digital
Imaging and Modeling (3DIM’03), pages 268–275, ?, ? 2003. IEEE, Piscataway, NJ. ga03cLucianoSilva.
[579] Luciano Silva, Olga Regina Pereira Bellon, Paulo F. U. Gotardo, and Kim L. Boyer. Range image registration using genetic algorithms. In Proceedings of the 2003 International Conference on Image Processing (ICIP’03), volume 2, pages 711–714, ?, 14.-17. September 2003. IEEE, Piscataway, NJ.
ga03dLucianoSilva.
[580] Alan Pilch, Ajay Mahajan, and Tsuchin Chu. Measurement of whole-field surface displacements and
strain using a genetic algorithm based intelligent image correlation method. Journal of Dynamic Systems,
Measurement, and Control, 126(3):479–488, September 2004. ga04aAlanPilch.
[581] Ch. Venkateswara Rao, K. M. M. Rao, A. S. Manjunath, and R. V. N. Srinivas. Optimization of automatic
image registration algorithms and characterization. In ?, editor, Proceedings of the XXth ISPRS Congress,
volume ?, pages 698–, Istanbul (Turkey), 12.-23. July 2004. ? ga04aChVRao.
[582] Chen Tang, Ming Liu, Haiqing Yan, Guimin Zhang, and Zhanqing Chen. The improved genetic algorithm
for digital image correlation method. Chinese Optics Letters, 2(10):574–577, ? 2004. * www /Google
NASA ga04aChenTang.
[583] Chi Kin Chow, Hung Tat Tsui, and Tong Lee. Surface registration using a dynamic genetic algorithm.
Pattern Recognition, 37(?):105–117, ? 2004. ga04aChiKinChow.
[584] Evgeny Lomonosov, Dmitry Chetverikov, and Anikó Ekárt. Fully automatic, robust and precise alignment
of measured 3D surfaces for arbitrary orientations. In ?, editor, Proceedings of the 28th Workshop of the
Austrian Association for Pattern Recognition, pages 39–46, Hagenberg, ? 2004. ? † ga04aELomonosov.
[585] Emi Myodo, Hernán Aguirre, and Kiyoshi Tanaka. Inter-block evaluation method to further reduce
evaluation numbers in GA-based image halftoning techniques. IEICE Transactions on Fundamentals of
Electronics Communications and Computer Sciences, E87A(10):2722–2731, October 2004. †www /ISI
ga04aEMyodo.
[586] F.-C. Tien and C.-Y. Tsai. Scanline-based stereo matching by genetic algorithms. International journal
of Production Research, 42(6):1083–1106, March 2004. * www /Google ga04aF-CTien.
[587] Hichem Talbi, Amer Draa, and Mohamed Chaouki Batouche. A genetic quantum algorithm for image
registration. In Proceedings of the 2004 IEEE International Conference on Information and Communication
Technologies: From Theory to Applications, pages 395–396, ?, 19.-23. April 2004. IEEE, Piscataway, NJ.
ga04aHTalbi.
112
[588] Hichem Talbi, Mohamed Chaouki Batouche, and Amer Draa. A quantum-inspired genetic algorithm
for multi-source affine image registration. In A. Campilho and M. Kamel, editors, Image Analysis and
Recognition, PT 1, Proceedings, volume 3211 of Lecture Notes in Computer Science, pages 147–154, ?, ?
2004. Springer-Verlag, Heidelberg. * www /ISI ga04aHichemTalbi.
[589] Huiqing Jin. New Metrological Techniques for Mechanical Characterization at the Microscale and
Nanoscale. PhD thesis, University of Maryland, 2004. ga04aHuiqingJin.
[590] Jinshi Cui and Zengqi Sun. Visual hand motion capture for guiding a dexterous hand. In Proceedings
of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR’04), pages
729–734, ?, 17.-19. May 2004. IEEE Computer Society Press, Piscataway, NJ. ga04aJinshiCui.
[591] Jun-Su Jang, Kuk-Hyun Han, and Jong-Hwan Kim. Face detection using quantum-inspired evolutionary
algorithm. In Proceedings of the Congress on Evolutionary Computation (CEC2004), volume 2, pages
2100–2106, ?, 19.-23. June 2004. IEEE, Piscataway, NJ. ga04aJun-SuJang.
[592] M. Roberts and Ela Claridge. Cooperative coevolution of image feature construction and object detection.
In X. Yao etal, editor, Parallel Problem Solving from Nature (PPSN VIII), volume 3242 of Lecture Notes
in Computer Science, pages 899–908, ?, ? Springer-Verlag, Heidelberg.
[593] Timo Mantere. Generating test images and halftoning filters with co-evolutionary GA. WSEAS Transactions on Computers, 3(1):7–12, ? 2004. †Mantere ga04aMantere.
[594] Paulo Fabiano Urnau Gotardo, Olga Regina Pereira Bellon, Kim L. Boyer, and Luciano Silva. Range image
segmentation into planar and quadric surfaces using an improved robust estimator and genetic algorithm.
IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 34(6):2303–2316, December
2004. ga04aPFUrnauGotardo.
[595] S. Hu, M. Zhu, H.-J. Song, and X.-H. Shen. Fast image template matching based on evolutionary algorithms. In M. H. Hamza, editor, Computer Graphics and Imaging (CGIM 2004), page ?, Kauai, HI,
17.-19. August 2004. ACTA Press. * www /Google ga04aSHu.
[596] S. K. Makrogiannis, N. G. Bourbakis, and S. Borek. A stochastic optimization scheme for automatic
registration of aerial images. In Proceedings of the 16th IEEE International Conference on Tools with
Artificial Intelligence (ICTAI’04), pages 328–336, ?, 15.-17. November 2004. IEEE, Piscataway, NJ.
ga04aSKMakrogiannis.
[597] Sylvie Daniel, Jae-Dong Jang, and Alain Viau. Airborne multi-spectral images registration through genetic
algorithm. In Proceedings of the 2004 IEEE International Conference on Systems, Man and Cybernetics,
volume 3, pages 3046–3050, ?, 10.-13. October 2004. IEEE, Piscataway, NJ. ga04aSylvieDaniel.
[598] W. Withayachumnankul, B. Laksanapanai, and C. Pintavirooj. Hardware-accelerated objective function
evaluation for medical image registration. In Proceedings of the 2004 IEEE Region 10 Conference, TENCON 2004, volume A, pages 419–422, ?, 21.-24. November 2004. IEEE, Piscataway, NJ. ga04aWWith.
[599] Xiao Wang and Han Wang. Markov random field modeled range image segmentation. Pattern Recognition
Letters, 25(3):367–375, February 2004. * www /ScienceDirect ga04aXiaoWang.
[600] Zsolt Jankó and Dmitry Chetverikov. Registration of an uncalibrated image pair to a 3D surface model. In
?, editor, Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04), volume 2,
pages 208–211, ?, 23-26. August 2004. IEEE Computer Society. ga04aZJanko.
[601] Hichem Talbi, Amer Draa, and Mohamed Chaouki Batouche. A genetic quantum algorithm for image
registration. In Proceedings of the 2004 International Conference on Information and Communication
Technologies: From Theory to Applications, pages 395–396, ?, 19.-23. April 2004. IEEE. ga04bHichemTalbi.
[602] Lucia Ballerini, L. Bocchi, and C. B. Johansson. Image segmentation by a genetic fuzzy c-means algorithm
using color and spatial information. In Raidl et al, editor, Applications of Evolutionary Computing, volume
3005 of LNCS, pages 260–269, Coimbra (Portugal), 5.-7. April 2004. Springer-Verlag, Berlin. †www
/Ballerini ga04bLBallerini.
[603] Timo Mantere. Finding the natural problem in the BayerDispersed Dot method. In J. Zhang, J.-H. He,
and Y. Fu, editors, Proceedings of the CIS 2004, volume 3314 of Lecture Notes in Computer Science, pages
1148–1154, Shanghai (China), 16.-18. December 2004. Springer-Verlag, Heidelberg. ga04bMantere.
[604] Zsolt Jankó and Dmitry Chetverikov. Photo-consistency based registration of an uncalibrated image pair
to a 3D surface model using genetic algorithm. In ?, editor, Proceedings of the 2nd International Symposium
on 3D Data Processing, Visualization and Transmission (3DPVT), pages 616–622, ?, 6.-9. September 2004.
IEEE Computer Society. ga04bZJanko.
Bibliography
113
[605] Zsolt Jankó and Dmitry Chetverikov. Registration of an uncalibrated image pair to a 3D surface model.
In ?, editor, Proceedings of the ICPR 2004, volume 2, pages 208–211, Cambridge (UK), ? 2004. ?
ga04cZJanko.
[606] Cesar Angeletti, Neal R. Harvey, Vitali Khomitch, Andrew H. Fischer, Richard M. Levenson, and David L.
Rimm. Detection of malignancy in cytology speciments using spectral-spatial analysis. Laboratory Investigations, 85(?):1555–1564, ? 2005. * www /Nature ga05aCAngeletti.
[607] Changhua Mou, Lihui Peng, Danya Yao, and Deyun Xiao. Image reconstruction using a genetic algorithm
for electrical capacitance tomography. Tsinghua Science & Technology, 10(5):587–592, October 2005. *
www /Google ga05aChanghuaMou.
[608] John W. Branch, Flavio Prieto, and Pierre Boulanger. Correspondence method for registration of range
images using evolutionary algorithms. In International Conference on Industrial Electronics and Control
Applications (ICIECA’05), page ?, ?, ? 2005. IEEE, Piscataway, NJ. ga05aJohnWBranch.
[609] Joonas Lehtinen. Coding of Wavelet-Transformed Images. PhD thesis, University of Turku, TUCS, 2005.
ga05aJoonasLehtinen.
[610] Katarzyna Sta̧por and Adrian Brueckner. Mean shift segmentation, genetic algorithms and support vector
machines for identification of glaucoma in fundus eye images. In ?, editor, Proceedings of the 4th International Conference on Computer Recognition Systems CORES’05, volume 30/2005 of Engineering, pages
679–685, ?, ? 2005. Springer-Verlag, Heidelberg. †www /Springer ga05aKStapor.
[611] L. Bocchi, Lucia Ballerini, and S. Hässler. A new evolutionary algorithm for image segmentation. In
Rothlauf et al, editor, Applications of Evolutionary Computing, volume 3449 of LNCS, pages 264–273,
Lausanne (Switzerland), 30. March 1. April 2005. Springer-Verlag, Berlin. †www /Ballerini ga05aLBocchi.
[612] Luciano Silva, Olga Regina Pereira Bellon, and Kim L. Boyer. Precision range image segmentation using
a robust surface interpenetration measure and enchanced genetic algorithm. IEEE Transactions on on
Pattern Analysis and Machine Intelligence, 27(5):762–776, May 2005. ga05aLucianoSilva.
[613] Mei Xiang, Chih-Cheng Hung, Minh Pham, Bor-Chen Kuo, and Tommy Coleman. A parallelepiped
multispectral image classifier using genetic algorithms. In Proceedings of the 2005 IEEE International
Geoscience and Remote Sensing Symposium IGARSS’05, volume 1, pages 482–485, ?, 25.-29. July 2005.
IEEE, Piscataway, NJ. ga05aMeiXiang.
[614] V. Conti, G. Milici, G. Vetrano, S. Vitabile, and F. Sorbello. Fingerprint registration using specialized
genetic algorithms. In Proceedings of the International Conference on Computer as a Tool (EUROCON
2005), volume 2, pages 1382–1385, Belgrade (Serbia & Montenegro), 22.-24. November 2005. IEEE, Piscataway, NJ. ga05aVConti.
[615] Yukinori Nagase, Takahiko Yamamoto, Takao Kawamura, and Kazunori Sugahara. Hardware realization
of panoramic camera with speaker-oriented face extraction for teleconferencing. In Proceedings of IEEE
International Symposium on Circuits and Systems, ISCAS 2005, volume 6, pages 6256–6259, ?, 23.-26. May
2005. IEEE, Piscataway, NJ. ga05aYukinoriNagase.
[616] Zsolt Jankó, Evgeny Lomonosov, and Dmitry Chetverikov. Building photorealistic models using data
fusion. In ?, editor, Proceedings of the Hungarian Conference on Computer Graphics and Geometry, pages
37–42, Budapest (Hungary), ? 2005. ? ga05aZsoltJanko.
[617] Luciano Silva, Olga Regina Pereira Bellon, and Kim L. Boyer. Robust Range Image Registration Using
Genetic Algorithms And The Surface Interpenetration Measure. World Scientific Publishing, Singapore,
2005. †www /Amazon ga05bLucianoSilva.
[618] A. Jubai, B. Jing, and J. Yang. Combining fuzzy theory and a genetic algorithm for satellite image edge
detection. International Journal of Remote Sensing, 27(14):3013–3024, 14. July 2006. †www /Google
ga06aAJubai.
[619] Cheng-Jian Lin, Ho-Chin Chuang, and Yong-Ji Xu. Face detection in color images using efficient genetic
algorithms. Optical Engineering, 45(4):–, April 2006. ga06aCheng-JianLin.
[620] Dmitry Chetverikov, Zsolt Jankó, Evgeny Lomonosov, and Anikó Ekárt. Creating photorealistic models
by data fusion with genetic algorithms. In Mike Nachtegael, Dietrich Van der Weken, Etienne E. Kerre,
and Wilfried Philips, editors, Soft Computing in Image Processing, Recent Advances, volume 210 of Studies
in Fuzziness and Soft Computing, pages 239–264, ?, ? 2006. Springer. ga06aDChetverikov.
[621] Evgeny Lomonosov, Dmitry Chetverikov, and Anikó Ekárt. Pre-registration of arbitrarily oriented
3D surfaces using a genetic algorithm. Pattern Recognition Letters, 27(11):1201–1208, August 2006.
ga06aELomonosov.
114
[622] Famao Ye, Lin Su, and Shukai Li. I.
[623] Felix Calderon, Leonardo Romero, and Juan Flores. GA-SSD-ARC-NLM for parametric image registration.
In J. F. Martinez Trinidad, J. A. C. Ochoa, and J. Kittler, editors, Progress in Pattern Recognition, Image
Analysis and Applications, Proceedings, volume 4225 of Lecture Notes in Computer Science, pages 227–236,
?, ? 2006. Springer-Verlag, Heidelberg. * www /ISI ga06aFelixCalderon.
[624] Hidenori Sakanashi, Masaya Iwata, and Tetsuya Higuchi. Ch. 2. EWH applied to image data compression.
In Higuchi et al. [2459], pages 19–40. ga06aHidenoriSakanashi.
[625] John William Branch, Flavio Prieto, and Paul Boulanger. Robust three-dimensional registration of range
images using a new genetic algorithm. In ?, editor, Geometric Modeling and Processing, GMP 2006,
volume 4077 of Lecture Notes in Computer Science, pages 528–535, ?, ? 2006. Springer-Verlag, Heidelberg.
ga06aJWBranch.
[626] Jinhui Tang, Xin Yang, Chunyan Liu, and Xiuqing Wu. Image registration based on fitted straight lines
of edges. In Proceedings of the 6th World Congress on Intelligent Control and Automation (WCICA’06),
volume 2, pages 9782–9785, ?, ? 2006. IEEE, Piscataway, NJ. ga06aJinhuiTang.
[627] Janne Koljonen and Jarmo T. Alander. Genetic algorithm for optimizing fuzzy image pattern matching.
In Timo Honkela, Tapani raiko, Jukka Kortela, and Harri Valpola, editors, Proceedings of the Ninth Scandinavian Conference on Artificial Intelligence (SCAI 2006), pages 46–53, Espoo (Finland), 25.-27. October
2006. Finnish Artificial Intelligence Society. ga06aKoljonen.
[628] Mario Köppen, Katrin Franke, and Raul Vincente-Garcia. Tiny GAs for image processing applications.
IEEE Computational Intelligence Magazine, (2):17–26, May 2006. ga06aMKoppen.
[629] Marcus Johansson. Image registration with simulated annealing and genetic algorithm. Master’s thesis,
Royal Institute of Technology, School of Computer Science and Engineering, 2006. ga06aMarcusJohansson.
[630] Ming-Sheng Wu, Wei-Chih Teng, Jyh-Horng Jeng, and Jer-Guang Hsieh. Spatial correlation genetic algorithm for fractal image compression. Chaos, Solitons and Fractals, 28(?):497–510, ? 2006.
ga06aMing-ShengWu.
[631] Rong-Song He, Chih-Ted Horn, Hou-Jiun Wang, and Shun-Fa Hwang. Deformation measurement by a
digital image correlation method combined with a hybrid genetic algorithm. Key Engineering Materials,
326-326(?):139–142, ? 2006. (available via www URL: http://www.scientific.net/0-87849-415-4/139/)
* www /Google ga06aRong-SongHe.
[632] Syamsiah Mashohor, Jonathan R. Evans, and Ahmet T. Erdogan. Automatic hybrid genetic algorithm
based printed circuit board inspection. In Proceedings of the First NASA/ESA Conference on Adaptive
Hardware and Systems (AHS’06), pages 390–400, ?, 15.-18. June 2006. IEEE Computer Society, Piscataway,
NJ. ga06aSMashohor.
[633] Zsolt Jankó. Photorealistic 3D Models of Real-World Objects. PhD thesis, Eötvös Loránd University,
Computer and Automation Research Institute, 2006. * www /Google ga06aZsoltJanko.
[634] Syamsiah Mashohor, Jonathan R. Evans, and Tughrul Arslan. Image registration of printed circuit
boards using hybrid genetic algorithm. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC2006), pages 2685–2690, ?, 16.-21. July 2006. IEEE, Piscataway, NJ. ga06bSMashohor.
[635] Zsolt Jankó, Dmitry Chetverikov, and Anikó Ekárt. Using a genetic algorithm to register an uncalibrated
image pair to a 3D surface model. International Scientific Journal of Engineering Applications of Artificial
Intelligence, 19(?):269–276, ? 2006. ga06bZsoltJanko.
[636] Chang Yao, Houjin Chen, Jiangbo Yu, and Jupeng Li. Application of distributed genetic algorithm based
on migration strategy in image segmentation. In Proceedings of the Third International Conference on
Natural Computation (ICNC 2007), volume ?, page ?, ?, ? 2007. IEEE, Piscataway, NJ. ga07aChangYao.
[637] Chao Tao, Yu Zhang, and Jack J. Jiang. Extracting physiologically relevant parameters of vocal folds from
high-speed video image series. IEEE Transactions on Biomedical Engineering, 54(5):794–801, May 2007.
ga07aChaoTao.
[638] E. Zacharia and D. Maroulis. An usupervised and fully-automated image analysis method for cDNA microarrays. In ?, editor, Proceedings of the 20th IEEE International Symposium on Computer-Based Medical
Systems, pages 389–396, ?, 20.-22. June 2007. IEEE Computer Society, Piscataway, NJ. ga07aEZacharia.
[639] Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Palermo, Christian Pilato, Donatella Sciuto, and Antonino
Tumeo. An evolutionary approach to area-time optimization of FPGA designs. In Proceedings of the
International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, ICSAMOS 2007, pages 145–152, ?, 16.-19. July 2007. IEEE, Piscataway, NJ. ga07aFabrizioFerrandi.
Bibliography
115
[640] Jamshid Dehmeshki, X. Ye, X. Lin, M. C. Valdivieso, and H. Amin. Automated detection of lung nodules in
CT images using shape-based genetic algorithm. Computerized Medical Imaging and Graphics, 31(6):408–
417, ? 2007. †www /Google ga07aJDehmeshki.
[641] Ju Han and Bir Bhanu. Fusion of color and infrared video for moving human detection. Pattern Recognition,
40(?):1771–1784, ? 2007. ga07aJuHan.
[642] Mantas Paulinas and Andrius Usinskas. A survey of genetic algorithms applications for image enchancement
and segmentation. Information Technology and Control, 36(3):278–284, ? 2007. * ga07aMPaulinas.
[643] Peng-Dong Gao, Xiang Peng, A-Meng Li, and Ze-Yi Liu. Range image registration using a hybrid genetic
algorithm and surface mean inter-space measure. Chinese Journal of Computers, 30(12):2189–2197, ?
2007. ga07aPeng-DongGao.
[644] Ran Song and John Szymanski. Automatic alignment of images with small overlaps, sparce features and
repeated deceptive objects. In Proceedings of the IEEE International Conference on Automation and
Logistics, pages 1919–1924, Jinan (China), 18-21. August 2007. IEEE, Piscataway, NJ. ga07aRanSong.
[645] Sokratis Makrogiannis, Jeremy Wellen, Yanjun Wu, Luke Bloy, and Susanta K. Sarkar. A multimodal
image registration and fusion methodology applied to drug discovery research. In Proceedings of the 9th
IEEE Workhop on Multimedia Signal Processing (MMSP’07), pages 324–327. IEEE, Piscataway, NJ, 1.3. October 2007. ga07aSMakrogiannis.
[646] Shun-Fa Hwang, Jhih-Te Horn, and Hou-Jiun Wang. Strain measurement of nickel thin film by a digital
image correlation method. In ?, editor, Proceedings of the 13th International Conference on Experimental Mechanic, Engineering, pages 883–884, Alexandroupolis (Greece), 1.-6. July 2007. Springer-Verlag,
Heidelberg. †www /Springer ga07aShun-FaHwang.
[647] Yinghua Lu, Xue Feng, Jingbo Zhang, Rujuan Wang, Kaiyuan Zheng, and Jun Kong. A multi-focus image
fusion based on wavelet and region detection. In Proceedings of the IEEE International Conference on ¨
Computer as a Tool¨
EUROCON 2007, pages 294–298, Warzaw (Poland), 9.-12. September 2007. IEEE, Piscataway, NJ.
ga07aYinghuaLu.
[648] Zsolt Jankó, Dmitry Chetverikov, and Anikó Ekárt. Using genetic algorithms in computer vision: Registering images to 3D surface model. Acta Cybernetica, 18(?):192–212, ? 2007. ga07aZsoltJanko.
[649] Janne Koljonen, Timo Mantere, and Jarmo T. Alander. Parameter optimization of numerical methods
using accelerated estimation of cost function: a case study. In Matti Niskanen and Janne Heikkilä, editors,
Proceedings of the Finnish Signal Processing Symposium (Finsig 2007), page ?, Oulu (Finland), 30. August
2007. IEEE / Finland. ga07bJKoljonen.
[650] Ammarin Makkeasorn, Ni-Bin Chang, and Jiahong Li. Seasonal change detection of riparian zones with
remote sensing images and genetic programming in a semi-arid watershed. Journal of Environmental
Management, ?(?):?, ? 2008. (in press) ga08aAMakkeasorn.
[651] Flávio Luz Seixas, Luiz Satoru Ochi, Aura Conci, and Débora C. M. Saade. Image registration using
genetic algorithms. In ?, editor, Proceedings of the International Conference GECCO’08, volume ?, pages
1145–1146, Atlanta, GA, 12.-16. July 2008. ACM. ga08aFLSeixas.
[652] Hualiang Zhuang, Kay-Soon Low, and Wei-Yun Yau. A multiplier-less GA optimized pulsed neural network for satellite image analysis using a FPGA. In Proceedings of the 3rd IEEE Conference on Industrial Electronics and Applications ICIEA 2008, pages 302–307, ?, 3.-5. June 2008. IEEE, Piscataway, NJ.
ga08aHualiangZhuang.
[653] I. A. Ismail, M. M. Abd El-kareem, N. A. Ali, and E. Awadeen. Image registration by genetic algorithms.
Egyptian Computer Science Journal, 30(1):–, January 2008. * www /Google ga08aIAIsmail.
[654] Ibrahiem M.M. El-Emary and Mona M. Abd El-Kareem. On the application of genetic algorithms in finger
prints registration. World Applied Sciences Journal, 5(3):276–281, ? 2008. ga08aIMMEl-Emary.
[655] Patrick Siarry, editor. Optimization in Signal and Image Processing. Wiley, Paris, 2008. †www /brochure
ga08aPSiarry.
[656] Swagatam Das and Amit Konar. Automatic image pixel clustering with an improved differential evolution.
Applied Soft Computing, ?(?):?, ? 2008. (in press) ga08aSDas.
[657] Sethuram Soman, Girmay Misgna, Steven Kraft, Christopher Lant, and Jeffrey Beaulieu. An agent-based
model of multifunctional agricultural landscape using genetic algorithms. In ?, editor, Proceedings of the
American Agricultural Economics Association Annual Meeting, volume ?, page ?, Orlando, FL, 27.-29. July
2008. AAEA. ga08aSSoman.
116
[658] Shun-Fa Hwang, Jhih-Te Horn, and Hou-Jiun Wang. Strain measurement of SU-8 photoresist by a digital
image correlation method with a hybrid genetic algorithm. Optics and Lasers in Engineering, 46(3):281–
289, March 2008. ga08aShun-FaHwang.
[659] Wang Yong and Xu Lu-ping. A global optimized registration algorithm for image stitching. In Gongress on
Image and Signal Processing (CISP’08), volume 3, pages 525–529, ?, 27.-30. May 2008. IEEE, Piscataway,
NJ. ga08aWangYong.
[660] Janne Koljonen. Partially separable fitness function and smart genetic operators for area-based image registration. In Tapani Raiko, Pentti Haikonen, and Jaakko Väyrynen, editors, AI and Machine Consciousness,
Proceedings of the 13th Finnish Artificial Intelligence Conference STeP 2008, pages 7–14, Espoo (Finland),
20.-22.August 2008. FAIS, Helsinki. ga08bJKoljonen.
[661] Shun-Fa Hwang, Jhih-Te Horn, and Hou-Jiun Wang. Strain measurement of nickel thin film by a digital
image correlation method. Strain, 44(3):215–222, June 2008. †ISI ga08bShun-FaHwang.
[662] Janne Koljonen and Jarmo T. Alander. Deformation image generation for testing a strain measurement
algorithm. Optical Engineering, 47(10):107202, October 2008. ga08cJKoljonen.
[663] Timo Mantere. Image recognition based on cellular genetic algorithm transforms. In Aulis Tuominen,
Jussi Kantola, Arho Suominen, and Sami Hyrynsalmi, editors, Proceedings of the NEXT 2008, The Fifth
International New Exploratory Technologies Conference, TUCS General Publication, No. 50, pages 243–
252, Turku (Finland), 20.-22. August 2008. TUCS, University of Turku. ga08cTimoMantere.
[664] Sarawat Anam, Md. Shohidul Islam, M.A. Kashem, M.N. Islam, M.R. Islam, and M.S. Islam. Face
recognition using genetic algorithm and back propagation neural network. In ?, editor, Proceedings of the
International MultiConference of Engineers and Computer Scientists 2009 IMECS 2009, volume I, page ?,
Hong Kong, 18.-20. March 2009. ? ga09SAnam.
[665] Patrick Siarry. Optimization in Signal and Image Processing. Wiley, New York, 2009.
ga09aPSiarry.
†www /Google
[666] Y. Chakrapani and K. Soundara Rajan. Genetic algorithm applied to fractal image compression. ARPN
Journal of Engineering and Applied Sciences, 4(1):53–58, February 2009. ga09aYChakrapani.
[667] Bir Bhanu, Sungkee Lee, and John C. Ming. Adaptive image generation system, 1991. (U. S. patent no.
53,048,095. Issued September 10 1991) * fi.espacenet.com ga91aBBhanu.
[668] Michael D. Garris. Platform for evolving genetic automata for text segmentation. In Dennis W. Ruck,
editor, Science of Artificial Neural Networks, volume SPIE-1710, pages 714–724, ?, July 1992. The International Society for Optical Engineering. * www/SPIE Web ga92aMDGarris.
[669] Tomoharu Nagao, Takeshi Agui, and Hiroshi Nagahashi. Extraction of two-dimensional arbitrary shapes
using a genetic algorithm. In Barry G. Haskell and Hsueh-Ming Hang, editors, Visual Communications
and Image Processing ’93, volume SPIE-2094, pages 74–83, ?, October 1993. The International Society for
Optical Engineering. * www/SPIE Web ga93aTNagao.
[670] Fabio Abbattista, A. M. Fanelli, and Macello Pelillo. An evolutionary approach to vector quantizer design.
In ?, editor, Proceedings of the 7th International Conference on Image Analysis and Processing, Prograss in
Image Analysis and Processing III, pages 254–257, Monopoli (Italy), 20.-22. September 1993 1994. World
Scientific, Singapore. * EEA 83988/94 CCA 76145/94 ga94aAbbattista.
[671] A. H. Abu-Alola, N. E. Gough, Q. Mehdi, and P. B. Musgrove. Application of a genetic algorithm to
an actuation mechanism for robotic vision. In ?, editor, Proceedings of the International Conference on
CONTROL’94, volume 2 of IEE Conference Publications, pages 1128–1133, Coventry (UK), 21.-24. March
1994. * EI M104573/94 ga94aAbu-Alola.
[672] Philippe Andrey and Philippe Tarroux. Unsupervised image segmentation using a distributed genetic
algorithm. Pattern Recognition, 27(5):659–673, May 1994. ga94aAndrey.
[673] B. Bhanu and S. Lee. Genetic Learning for Adaptive Image Segmentation. Kluwer Academic Publishers,
Boston, MA, 1994. †[480] ga94aBBhanu.
[674] Suchendra M. Bhandarkar, Yiqing Zhang, and Walter D. Potter. Edge detection techniques using genetic
algorithm-based optimization. Pattern Recognition, 27(9):1159–1180, September 1994. ga94aBhandarkar.
[675] Anoop K. Bhattacharjya and Badrinath Roysam. Joint solution of low-, intermediate-, and high-level vision
tasks by evolutionary optimization: Application to computer vision at low SNR. IEEE Transactions on
Neural Networks, 5(1):83–95, January 1994. †toc ga94aBhattacharjya.
Bibliography
117
[676] Trent Bills and Ashock Samal. Two dimensional chromosomes and their application to computer vision.
In ?, editor, Neural and Stochastic Methods in Image and Signal Processing III, volume SPIE-2304, pages
65–75, San Diego, CA, 28. -29. July 1994. The International Society for Optical Engineering. * A95-17243
ga94aBills.
[677] Chee-Hung H. Chu. Genetic algorithm search of multiresolution tree with applications in data compression.
In Harold H. Szu, editor, Wavelet Applications, volume SPIE-2242, pages 950–962, Orlando, FL, 5.-8. April
1994. The International Society for Optical Engineering. * A95-25466 P61330/94 SPIEftp ga94aCCHChu.
[678] Richard Comely and Walter S. Kuklinski. Application of genetic optimization to medical image segmentation. In Proceedings of the 1994 20th Annual Northeast Bioengineering Conference, pages 76–79,
Springfield, MA, 17.-18. March 1994. IEEE, New York. * EI M177024/94 ga94aComely.
[679] Richard Comely and Walter S. Kuklinski. Applications of genetic optimization to medical image segmentation. In Proceedings of the 1994 20th Annual Northeast Bioengineering Conference, pages 76–79,
Springfield, MA, 17.-18. March 1994. IEEE, New York. * CCA 64048 ga94aCornely.
[680] Der-Sheng Lin and Jin-Jang Leou. A genetic algorithm approach to Chinese handwriting normalization.
In ?, editor, Proceedings of the 1994 International Computer Symposium Conference, volume 1, pages
638–644, Hsinchu (Taiwan), 12.-15. December 1994. National Chiao Tung University, Hsinchu (Taiwan).
* CCA 52752/95 ga94aD-SLin.
[681] Belur V. Dasarathy. Feature assessment in imperfectly supervised environments. In F. A. Sadjadi, editor,
Automated Object Recognition IV, volume SPIE-2234, pages 360–371, Orlando, FL, 6. -7. April 1994. The
International Society for Optical Engineering. * EI M100332/95 ga94aDasarathy.
[682] G. Di Stefano. New results for neural networks and genetic algorithms in visual field. In ?, editor,
Intelligent Engineering Systems Through Artificial Neural Networks, volume 4, pages 599–604, St. Louis,
MO, 13.-16. November 1994. ASME, New York. * CCA 67415/96 ga94aDiStephano.
[683] Markús Gu∂mundsson. Edge etection using genetic algorithms. Master’s thesis, University of Miami, 1994.
†[1048] ga94aGudmundsson.
[684] Inman Harvey, Philip Husbands, and David T. Cliff. Seeing the light: Artificial evolution, real vision.
Technical Report Report CSRP317, University of Sussex, School of Cognitive and Computing Science, 1994.
(available via anonymous ftp site ftp.cogs.susx.ac.uk directory /pub/reports/csrp file csrp317.ps.Z)
ga94aIHarvey.
[685] Christophe Jacquelin, Gilles Hejblum, and Andre Aurengo. Pattern fed objects: a new approach for
textured image segmentation. In ICEC’94 [2405], pages 792–795. ga94aJacquelin.
[686] J. Klöcker. Kompression von Bilevel-Bildern mit Genetischer Algorithmen [Binary image compression with
genetic algorithms]. Internal report, Universität Würzburg, Lehtstuhl für Informatik II, 1994. †[2424]
ga94aKlocker.
[687] Naoki Kobayashi and Hideo Saito. Half-toning technique using genetic algorithm. In Proceedings of the
1994 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-94), volume 5-I,
pages 105–108, Adelaide (Australia), 19.-22. April 1994. IEEE, New York. * Saito/www EEA 49575/95
P64575/95 ga94aKobayashi.
[688] David E. Larch. Genetic algorithms for terrain categorization of Landsat images. In A. E. Iverson,
editor, Algorithms for Multispectral and Hyperspectral Imagery, volume SPIE-2231, pages 2–6, Orlando,
FL, 5. April 1994. The International Society for Optical Engineering. * A95-18887 CCA 15298/95 [857]
ga94aLarch.
[689] Marta Karczewicz and Moncef Gabbouj. Robust model-based image restoration under structural constraints. In Edward R. Dougherty, Paul D. Gader, and Michel Schmitt, editors, Image Algebra and
Morphological Image Processing V, volume SPIE-2300, pages 169–177, ?, June 1994. The International
Society for Optical Engineering. * www/SPIE Web ga94aMKarczewicz.
[690] Michael Patrick Johnson, Pattie Maes, and Trevor Darrell. Evolving visual routines. In Rodney Brooks
and Pattie Maes, editors, Artificial Life IV, pages 198–209, MIT, Cambridge, MA, 6.-8. July 1994. MIT
Press. †News/Tufts ga94aMPJohnson.
[691] K. Matsui, M. Sase, and Y. Kosugi. Medical image mapping using collaborative genetic algorithm. In N. F.
Sheppard, M. Eden, and G. Kantor, editors, Proceedings of the 16th Annual International Conference of
the IEEE Engineering in Medicine and Biology Society – Engineering Advances: New Opportunities for
Biomedical Engineering, pages 612–613, Baltimore, MD, 3.-6. November 1994. IEEE, New York. * CCA
66721/95 P65120/95 ga94aMatsui.
118
[692] G. Menier, G. Lorette, and P. Gentric. A genetic algorithm for on-line cursive handwriting recognition.
In Proceedings of the 12th IAPR International Conference on Pattern Recognition, volume 2, pages 522–
525, Jerusalem (Israel), 9.-13. October 1994. IEEE Computer Society Press, Los Alamitos, CA. * CCA
52749/95 ga94aMenier.
[693] M. C. Mueksch. Airborne hyperspectral algorithms to determine trophical and morphological status of
lakes, rivers and coastal waters. In A. E. Iverson, editor, Algorithms for Multispectral and Hyperspectral
Imagery, volume SPIE-2231, pages 104–115, Orlando, FL, 5. April 1994. The International Society for
Optical Engineering. * A95-18897 ga94aMueksch.
[694] David John Nettleton and Roberto Garigliano. Evolutionary algorithms and a fractal inverse problem.
Journal of Biological and Information Processing Systems (BioSystems), 33(?):221–231, ? 1994. †Nettleton
ga94aNettleton.
[695] A. Nobiki, H. Naruse, T. Yabuta, and M. Tateda. Initial value search method for multi-viewpoint stereo
measurement using genetic algorithms. Transactions of the Institute of Electronics, Information, and Communication Engineers D-II (Japan), J77D-II(9):1841–1850, September 1994. (in Japanese)* ga94aNobiki.
[696] S. Procter and J. Illingworth. A comparison of the randomized Hough transform and a genetic algorithm
for ellipse extraction. In ?, editor, Pattern Recognition in Practice IV: Multiple Paradigms, Comparative
Studies and Hybrid Systems, volume SPIE-?, pages 449–460, ?, ? 1994. The International Society for
Optical Engineering. †Bounsaythip ga94aProcter.
[697] B. Ravichandran and Arthur C. Sanderson. Model-based matching using a hybrid genetic algorithm.
In Proceedings of the 1994 IEEE International Conference on Robotics and Automation, volume 3,
pages 2064–2069, San Diego, CA, 8.-13. May 1994. IEEE Computer Society Press, Los Alamitos, CA.
ga94aRavichandran.
[698] Gerhard Roth and Martin D. Levine. Geometric primitive extraction using a genetic algorithm. IEEE
Transactions on Pattern Analysis and Machine Intelligence, 16(9):901–905, September 1994.
* EI
M002808/95 CCA 76046/94 ga94aRoth.
[699] Sankar K. Pal, Dinabandhu Bhandari, and Malay K. Kundu. Genetic algorithms for optimal image
enhancement. Pattern Recognition Letters, 15(3):261–271, March 1994. ga94aSKPal.
[700] Sven Lončarić and Atam P. Dhawan. 3-D brain image registration using optimal morphological processing
and iterative principal axis transform. In Proceedings of the 16th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society, volume 1, pages 692–693, ?, 3.-6. November 1994.
IEEE, Piscataway, NJ. ga94aSLoncaric.
[701] Firooz A. Sadjadi. Application of genetic algorithm for automatic recognition of partially occluded objects.
In Firooz A. Sadjadi, editor, Automatic Object Recognition IV, volume SPIE-2234, pages 428–434, Orlando,
FL, 6.-7. April 1994. The International Society for Optical Engineering. * A95-26421 EI M100335/95 CCA
15314/95 P62560/94 ga94aSadjadi.
[702] P. Sahota, M. F. Daemi, and D. G. Elliman. Training genetically evolving cellular automata for image
processing. In Proceedings of the 1994 International Symposium on Speech, Image Processing and Neural
Networks (ISSIPNN’94), volume 2, pages 753–756, Hong Kong, 13.-16. April 1994. IEEE, New York. *
EEA 96110/94 ga94aSahota.
[703] Hideo Saito and Naoki Kobayashi. Evolutionary computation approaches to halftoning algorithm. In
ICEC’94 [2405], pages 787–791. ga94aSaito.
[704] K. Sakaue. Stereo matching by the combination of genetic algorithm and active net. Transactions of the
Institute of Electronics, Information, and Communication Engineers D-II (Japan), J77D-2(11):2239–2246,
1994. †CCA 15322/95 ga94aSakaue.
[705] Juan Seijas and Jose Sanz-Gonzalez. Evolutive algorithms pioneering neural networks training for artificial
vision applications. In IEEE94/NN [2425], pages –. ga94aSeijas.
[706] Wonchan Seo and Katsunori Inoue. Active and robust contour extraction by biphased genetic algorithm.
IEICE Transactions on Information and Systems, E77-D(11):1225–1232, November 1994. ga94aSeo.
[707] Martha Steenstrup and Gabriele. New results for neural networks and genetic algorithms in visual field
diagnosis. In Proceedings of the Artificial Neural Networks in Engineering Conference, pages 599–604, St.
Paul, Minnesota, 13.-16. November 1994. ASME, New York. †EI M061935/95 ga94aSteenstrup.
[708] W. Sverdlik and Robert G. Reynolds. A region-growing approach to edge detection based upon cultural
algorithms. In Sebald and Fogel [2407], page ? †conf.prog ga94aSverdlik.
Bibliography
119
[709] Tomi J. Viero, Bogdan P. Dobrin, Jaakko T. Astola, and Moncef Gabbouj. Further analysis of watershed
algorithms. In Edward R. Dougherty, Paul D. Gader, and Michel Schmitt, editors, Image Algebra and
Morphological Image Processing V, volume SPIE-2300, pages 331–342, ?, June 1994. The International
Society for Optical Engineering. * www/SPIE Web ga94aTJViero.
[710] K. Takatsu, H. Sawai, S. Watanabe, and M. Yoneyama. Genetic algorithms applied to Bayesian image
restoration. Transactions of the Institute of Electronics, Information, and Communication Engineers D-II
(Japan), J77D-II(9):1768–1777, September 1994. (in Japanese) * CCA 2556/95 ga94aTakatsu.
[711] Fumiaki Takeda, Saizo Onami, Takashi Kadono, Kengo Terada, and Sigeru Omatu. A paper currency
recognition method by a small size neural network with optimized masks by GA. In IEEE94/NN [2425],
pages 4243–4246. ga94aTakeda.
[712] Daniel R. Thedens. Detector design by genetic programming for automated border definition in cardiac
magnetic resonance images. In Koza [2426], page ? †conf.prog ga94aThedens.
[713] Cristian E. Toma. Genetic algorithm for maximum entropy image restoration. In ?, editor, Neural and
Stochastic Methods in Image and Signal Processing III, volume SPIE-2304, pages 253–264, San Diego, CA,
28. -29. July 1994. The International Society for Optical Engineering. * A95-17250 ga94aToma.
[714] K. Usami and Hideo Saito. Shaping from shading using genetic algorithm. Transactions of the Society
of Instrument and Control Engineers (Japan), 30(11):1378–1384, 1994. (in Japanese) * Saito/www CCA
12490/95 ga94aUsami.
[715] Victor S. Johnston. Method and apparatus for generating composites of human faces, 1994. (U. S. patent
no. 5,375,195. Issued December 20 1994) ga94aVSJohnston.
[716] Xinming Yu, T. D. Bui, and A. Krzyżak. Robust estimation for range image segmentation and reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(5):530–538, May 1994.
ga94aXYu.
[717] I. Yoda, K. Yamamoto, and H. Yamada. An automatic acquisition of hierarchical mathematical morphology
procedures by GA. In Proceedings of the 12th IAPR International Conference on Pattern Recognition,
volume 2, pages 421–425, Jerusalem (Israel), 9.-13. October 1994. IEEE Computer Society Press, Los
Alamitos, CA. * CCA 55920/95 ga94aYoda.
[718] Bruno Bontempi and Angelo Marcelli. A genetic learning system for on-line character recognition. In
Proceedings of the 12th IAPR International Conference on Pattern Recognition, volume 2, pages 83–87,
Jerusalem (Israel), 9.-13. October 1994. IEEE Computer Society Press, Los Alamitos , CA. †CCA56950/95
ga94bBontempi.
[719] Ching Zhang and Fangju Wang. Genetic algorithm for molecular sequence comparison. In Proceedings of
the 1994 IEEE International Conference on Systems, Man, and Cybernetics, volume 3, pages 2242–2247,
San Antonio, TX, 2.-5. October 1994. IEEE, New York. * EI M096133/95 ga94bCZhang.
[720] Laura Caponetti, Nicola Abbattista, and G. Carapella. A genetic approach to edge detection. In Proceedings
of the ICIP-94, volume 1, pages 318–322, Austin, TX, 13.-16. November 1994. IEEE Computer Society
Press, Los Alamitos , CA. * EEA59421/94 ga94bCaponetti.
[721] Philip D. Henshaw and Norman R. Guivens. Genetic algorithms for unconventional imaging. In Proceedings
of the Conference, volume 2241, pages 257–265, Orlando, FL, 4.-5. April 1994. Society of Photo-Optical
Instrumentation engineers, Bellingham, WA. †A95-28187 ga94bHenshaw.
[722] Inman Harvey, Philip Husbands, and David T. Cliff. Seeing the light: Artificial evolution, real vision. In
David Cliff, Philip Husbands, and Jean-Arcady Meyer, editors, From Animals to Animats 3. Proceedings
of the Third International Conference on Simulation of Adaptive Behavior, page ?, ?, ? 1994. MIT Press,
Cambridge, MA. ga94bIHarvey.
[723] Evelyne Lutton and P. Martinez. A genetic algorithm for the detection of 2D geometric primitives in
images. In Proceedings of the 12th IAPR International Conference on Pattern Recognition, volume 1,
pages 526–528, Jerusalem (Israel), 9.-13. October 1994. IEEE Computer Society Press, Los Alamitos , CA.
* EEA58979/95 ga94bLutton.
[724] K. Matsui, M. Sase, and Y. Kosugi. Medical image mapping using collaborative genetic algorithm. In
Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 1, pages 612–613, Baltimore, MD, 3.-6. November 1994. IEEE, New York, NY. *
EEA70793/95 ga94bMatsui.
[725] Hideo Saito and N. Tsunashima. Superquadrics parameter estimation from shading image using genetic
algorithm. In Proceedings of the 20th International Conference on Industrial Electronics, Control and
Instrumentation (IECON’94), volume 2, pages 978–983, Bologna (Italy), 5.-9. September 1994. IEEE,
New York. * EEA 41119/95 CCA 36876/95 ga94bSaito.
120
[726] Walter Alden Tackett. Scalability and generalization in genetic programs: The donut problem. In Sebald
and Fogel [2407], page ? †conf.prog ga94bTackett.
[727] I. Yoda, K. Yamamoto, and H. Yamada. Acquisition of structural morphological procedure by introducing
era into genetic algorithm. In ?, editor, Proceedings of the Shape, Structure and Pattern Recognition, pages
281–290, Nahariya, Israel, 4.-6. October 1994. World Scientific, Singapore. †EEA5389/96 ga94bYoda.
[728] Sankar K. Pal and Dinabandhu Bhandari. Genetic algorithms with fuzzy fitness function for object extraction using cellular networks. Fuzzy Sets and Systems, 65(2-3):129–139, 10. August 1994. * EI M027479/95
CCA 76179/94 ga94cSKPal.
[729] Hideo Saito and N. Tsunashima. Estimation of 3D parametric models from shading image using genetic
algorithms. In Proceedings of the 12th International Conference on Pattern Recognition, pages 668–670,
Jerusalem (Israel), October 1994. ? †Saito/www ga94dSaito.
[730] Atsushi Otani. Device and method for detecting posture, 1995. (JP patent no. 7302341. Issued November
14 1995) * fi.espacenet.com ga95aAOtani.
[731] Philippe Andrey and Philippe Tarroux. Unsupervised segmentation of Markov random field modeled
textured images using selectionist relaxation. Technical Report BioInfo-95-03, Ecole Normale Superieure,
Groupe de BioInformatique, 1995. †[951] ga95aAndrey.
[732] Bir Bhanu, Sungkee Lee, and John Ming. Adaptive image segmentation using a genetic algorithm. IEEE
Transactions on Systems, Man, and Cybernetics, 25(12):1543–1567, December 1995. ga95aBBhanu.
[733] M. L. Beretta and Andrea G. B. Tettamanzi. An evolutionary approach to fuzzy image compression. In
Proceedings of the Italian Workshop on Fuzzy Logic 1995, pages 49–57, Naples, Italy, 21.-22. September
1995. World Scientific, Singapore. †CCA48724/97 ga95aBeretta.
[734] Bir Bhanu, Sungkee Lee, and Subhodev Das. Adaptive image segmentation using genetic and hybrid
search methods. IEEE Transactions on Aerospace and Electronic Systems, 31(4):1268–1291, October 1995.
ga95aBhanu.
[735] Bruno Bontempi and Angelo Marcelli. Towards a genetic based prototyper for character shapes. In
Proceedings of the Third International Conference on Document Analysis and Recognition, volume 2, pages
694–697, Montreal, Que (Canada), 14.-16. August 1995. IEEE Computer Society Press, Los Alamitos ,
CA. †CCA71109/97 ga95aBontempi.
[736] P. Brigger and M. Kunt. Morphological contour coding using structuring functions optimized by genetic
algorithms. In Proceedings of the 1995 IEEE International Conference on Image Processing, volume 1,
pages 534–537, Washington, DC, 23.-26. October 1995. IEEE, Los Alamitos, CA. †EI M036743/95
ga95aBrigger.
[737] Laura Caponetti, Fabio Abbattista, and G. Carapella. Boundary detection using genetic algorithms. In
Proceedings of the Machine Learning and Perception, pages 149–156, Ancona (Italy), 21.-23. June 1995.
World Scientific, Singapore. †CCA4169/97 ga95aCaponetti.
[738] Vincent Charvillat and Bernard Thiesse. Integrating tabu search and genetic algorithms to take advantage
of the structure of a computer vision combinatorial problem. In ?, editor, Proceedings of Metaheuristics
International Conference, MIC’95, Colorado, USA, 22.-26. July 1995. ? †Bounsaythip ga95aCharvillat.
[739] E. G. Rajan, M. V. Krishna, N. Prashanth, S. P. Srinivas, and K. Jayasankar. A genetic algorithmic fixing
of attack points in a moving target. In Proceedings of the 1995 IEEE international Conference on Systems,
Man and Cybernetics, page 4722pp, Vancouver, BC (Canada), 22.-25. October 1995. IEEE, New York.
†P68522 ga95aEGRajan.
[740] Ian R. East and Jon Rowe. The evolution of morphology using Kauffman nets. In IEE/IEEE Sheffield ’95
[2427], pages 259–264. †conf.prog ga95aEast.
[741] Graeme Faulkner and Habib Talhami. Using “biological” genetic algorithms to solve the travelling salesman problem with applications in medical image processing. In ICEC’95 [2411], pages 707–712. †prog.
ga95aFaulkner.
[742] Jeanine Graf and Wolfgang Banzhaf. Iteractive evolution of images. In McDonnell et al. [2410], page ?
†conf.prog ga95aGraf.
[743] H. Yamamoto. Recognition system of hand-written figures by using neural networks and genetic algorithm.
In ?, editor, Proceedings of the Computer Applications in Production and Engineering, volume ?, pages
642–649, Beijing (China), May 1995. Chapman & Hall, London, UK. †CCA22082/97 ga95aHYamamoto.
Bibliography
121
[744] In K. Kim and Rae-Hong Park. Block matching algorithm using a genetic algorithm. In Lance T. Wu,
editor, Visual Communications and Image Processing ’95, volume SPIE-2501, pages 1545–1552, ?, April
1995. The International Society for Optical Engineering. * www/SPIE Web ga95aInKKim.
[745] Jennifer L. Davidson, Xia Hua, and Dan Ashlock. Texture analysis using genetic algorithms and partially
ordered Markov models. In Edward R. Dougherty, Francoise Preteux, and Sylvia S. Shen, editors, Neural,
Morphological, and Stochastic Methods in Image and Signal Processing, volume SPIE-2568, pages 197–208,
?, August 1995. The International Society for Optical Engineering. * www/SPIE Web ga95aJLDavidson.
[746] Jianhua Lin. Adaptive image quantization based on learning classifier systems. In Proceedings of the 5th
Data Compression Conference, page 477, Snowbird, UT, 28.-30. March 1995. IEEE, Piscataway, NJ. * EI
M122090/95 ga95aJLin.
[747] J. S. Pan, F. R. McInnes, and M. A. Jack. VQ codebook design using genetic algorithms. Electronics
Letters, 31(17):1418–1419, 17. August 1995. ga95aJSPan.
[748] Jianmin Jiang and Darren Butler. A genetic algorithm design for vector quantization. In IEE/IEEE
Sheffield ’95 [2427], pages 331–336. †conf.prog ga95aJiang.
[749] F. Kruggel and P. Bartenstein. Automatical registration of brain volume data sets. In Yves Bizais, Christian
Barillot, and Robert Di Paola, editors, Proceedings of the 14th International Conference on Information
Processing in Medical Imaging (IPMI 95), page ?, Brest (France), June 1995. Kluwer Academic Publishers,
Dordrecht, The Netherlands. †prog. ga95aKruggel.
[750] Ernst M. Kussul and Tatyana N. Baidyk. Genetic algorithm for neurocomputer image recognition. In
Pearson et al. [2409], pages 120–123. ga95aKussul.
[751] Vui Chiap Lam. Camera placement for optimal visibility. In Koza [2408], page ? †Koza ga95aLam.
[752] A. Lanitis, A. Hill, T. F. Cootes, and C. J. Taylor. Locating facial features using genetic algorithms. In ?, editor, Proceedings of the 27th International Conference on Digital Signal Processing, volume ?, pages 520–525, Limassol (Cyprus), 26.-28. June 1995. ?
(available via www URL:
http://s10d.smb.man.ac.uk/WIAU-papers.html) †ga97aBounsaythip = [951]
ga95aLinitis.
[753] Weiquan Liu, Minghui Wang, and Yixin Zhong. Selecting features with genetic algorithm in handwritten
digits recognition. In ICEC’95 [2411], pages 396–399. †prog. ga95aLiu.
[754] Miki Eto. Image processor, 1995. (JP patent no. 7085270. Issued March 31 1995) * fi.espacenet.com
ga95aMEto.
[755] Matthew R. Jones, Akira Tezuka, and Yukio Yamada. Thermal tomographic methods. Kikai Gijutsu
Kenkyusho Shoho, 49(1):32–43, January 1995. * EI M097369/95 ga95aMRJones.
[756] Shawn C. Masters and Kenneth J. Hintz. Evolution of convolution kernels for feature extraction. In ?,
editor, Signal Processing, Sensor Fusion, and Target Recognition IV, volume SPIE-2484, pages 536–544,
Orlando, FL, 17. -19. April 1995. The International Society for Optical Engineering, Bellingham, WA. *
EI M020589/96 ga95aMasters.
[757] P. W. McOwan and A. Johnston. The algorithms of natural vision: The multi-channel gradient model. In
IEE/IEEE Sheffield ’95 [2427], pages 319–324. †conf.prog ga95aMcOwan.
[758] Ming-Suen Shyu. A genetic algorithm approach to color image enchancement. Master’s thesis, National
Chung Cheng University, Institute of Computer Science and Information Engineering, Chiayi (Taiwan),
1995. †[1077] ga95aMing-SuenShyu.
[759] Zensho Nakao, Yen-Wei Chen, and Fath El Alem Fadlallah Ali. Evolutionary reconstruction of plane images
from a minimal number of projections. In Korea-Australia EC’95 [2428], pages 159–164. ga95aNakao.
[760] Randall Pennington, Nigel Snoad, and Terry Bossomaier. Evolution of computational efficiency in visual
processing. In ICEC’95 [2411], pages 199–203. †prog. ga95aPennington.
[761] Susmita De, Ashish Ghosh, and Sankar K. Pal. An application of genetic algorithms to evolve Hopfield
type optimum network architectures for object extraction. In ICEC’95 [2411], pages 504–508. †prog.
ga95aSDe.
[762] J. Schäfer and H. Braun. Optimizing classifiers for handwritten digits by genetic algorithms. In Pearson
et al. [2409], pages 10–13. ga95aSchafer.
[763] V. Shmerko, Svetlana Yanushkevich, and Elena Zaitseva. Genetic principles in pattern recognition and
image processing. In ?, editor, Proceedings of the Third International Conference on Pattern Recognition
and Image Analysis, volume 3, pages 17–25, Minsk (Belarus), ? 1995. ? †[2429] ga95aShmerko.
122
[764] Milan Sonka, Satish Kumar Tadikonda, and Steve M. Collins. Knowledge based interpretation of MR
brain images. In Yves Bizais, Christian Barillot, and Robert Di Paola, editors, Proceedings of the 14th
International Conference on Information Processing in Medical Imaging (IPMI 95), page ?, Brest (France),
June 1995. Kluwer Academic Publishers, Dordrecht, The Netherlands. †prog. ga95aSonka.
[765] Daniel L. Swets, William F. Punch, III, and J. Weng. Genetic algorithms for object recognition in a
complex scene. In Proceedings of the International Conference on Image Processing, volume 2, pages 595–
598, Washington, DC, 23.-26. October 1995. IEEE Computer Society Press, Los Alamitos, CA. †EEA
45230/96 ga95aSwets.
[766] Taiichi Kitamura. Face image displacement detection device, 1995. (JP patent no. 7282222. Issued October
27 1995) * fi.espacenet.com ga95aTKitamura.
[767] H. Tanahashi, K. Sakaue, and Kenji Yamamoto. Recovering decorative patterns of ceramic objects from
a monocular image using a genetic algorithm. In Proceedings of the Third International Conference on
Document Analysis and Recognition, volume 1, pages 339–342, Montreal, Que (Canada), 14.-16. August
1995. IEEE Computer Society Press, Los Alamitos , CA. †CCA65427/97 ga95aTanahashi.
[768] Alexander Toet and Walter P. Hajema. Genetic contour matching. Pattern Recognition Letters, 16(8):849–
856, August 1995. ga95aToet.
[769] Marshall S. Veach. Recognition and reconstruction of visibility graphs using a genetic algorithm. In Koza
[2408], page ? †Koza ga95aVeach.
[770] Yih-Gong Lee, Jia-Hong Lee, and Yuang-Cheh Hsueh. Genetic-based fuzzy hit-or-miss texture spectrum
for texture analysis. Electronics Letters, 31(23):1986–1988, 9. November 1995. ga95aY-GLee.
[771] Jason M. Daida, Jonathan D. Hommes, Steven J. Ross, and John F. Vesecky. Extracting curvilinear features
from synthetic aperture radar images of arctic ice: Algorithm discovery using the genetic programming
paradigm. In Proceedings of the 1995 International Geoscience and Remote Sensing Symposium, volume 1,
pages 673–675, Firenze, Italy, 10.-14. July 1995. IEEE. †EI M194522/95 ga95bDaida.
[772] Jennifer L. Davidson, Xia Hua, and Dan Ashlock. Texture analysis using genetic algorithms and partially
ordered Markov models. In Proceedings of the Meeting, volume 2568, pages 197–208, San Diego, CA,
10.-11. July 1995. Society of Photo-Optical Instrumentation Engineers, Bellingham, WA. †A95-144140
ga95bDavidson.
[773] Yo Egusa, Hiroshi Akahori, Atsushi Morimura, and N. Wakami. Application of fuzzy set theory for an
electronic video camera image stabilizer. IEEE Transactions on Fuzzy Systems, 3(3):351–356, 1995. †EI
M178559/95 ga95bEgusa.
[774] Toshio Fukuda, Hideyuki Ishigami, and Fumihito Arai. Cell recognition by neural networks using the
genetic algorithm. J. Artif. Neural Netw. (USA), 2(1-2):1–15, 1995. †EEA13824/95 ga95bFukuda.
[775] Dijin Gong, Mitsuo Gen, Weixuan Xu, and Genji Yamazaki. Hybrid evolutionary method for obstacle
location-allocation. Computers & Industrial Engineering, 29(?):525–530, 1995. †CCA86937/95 ga95bGong.
[776] Y. Hamamoto, M. Furusato, C. Kaneyama, and S. Tomita. A feature selection method using genetic
algorithms. Transactions of the Institute of Electronics, Information and Communication Engineers A
(Japan), J78-A(10):1385–1389, 1995. †CCA958/95 ga95bHamamoto.
[777] J.-C. Heudin. Artificial life and evolutionary computing in machine perception. In Proceedings of the
CAMP‘95 Computer Architectures for Machine Perception, pages 418–428, Como (Italy), 18.-20. September 1995. IEEE Computer Society Press, Los Alamitos, CA. †CCA92133/95 ga95bHeudin.
[778] I. K. Kim and R.-H. Park. Block matching algorithm using a genetic algorithm. In Proceedings of the 1995
Visual Communications and Image, volume 2501, pages 1545–1552, Taipei (Taiwan), 24.-26. May 1995.
SPIE – The International Society for Optical Engineering. †EEA5143/95 ga95bIKKim.
[779] J. Iisaki and T. Sakurai-Amano. Circular pattern extraction from remotely sensed imagery using genetic
algorithms. In Proceedings of the Ninth Annual Symposium on Geographic Information Systems in Natural
Resources Management, volume 1, pages 382–390, Vancouver, BC (Canada), 27.-30. March 1995. GIS
World, Fort Collins, CO. †CCA72829/95 ga95bIisaki.
[780] Jean-José Jacq and Christian Roux. Registration of non-segmented images using a genetic algorithm. In
Proceedings of the First International Conference, CVRMed ‘95, pages 205–211, Nice (France), 3.-6. April
1995. Springer-Verlag, Berlin (Germany). †CCA75752/95 ga95bJacq.
[781] H. Kawanishi and M. Hagiwara. A shape detection method using improved genetic algorithm. In Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, volume 1, pages 235–
240, Vancouver, BC (Canada), 22.-25. October 1995. IEEE, New York, NY. †CCA984/95 ga95bKawanish.
Bibliography
123
[782] Naoki Kobayashi and Hideo Saito. Halftoning technique using genetic algorithm. Transactions of the
Institute of Electronics, Information and Communication Engineers A (Japan), J78D-2(10):1450–1459,
1995. (in Japanese; also in English as [852]) †Saito/www CCA4756/95 ga95bKobayashi.
[783] Evelyne Lutton and P. Martinez. A genetic algorithm with sharing for the detection of 2D geometric
primitives in images. In Proceedings of the European Conference, Artificial Evolution, pages 287–303,
Brest (France), 4.-6. September 1995. Springer-Verlag, Berlin (Germany). †CCA52389/96 ga95bLutton.
[784] M. Miyojim and Heng-Da Cheng. Synthesized images for pattern recognition.
28(4):595–610, 1995. †EEA41191/95 ga95bMiyojim.
Pattern Recognition,
[785] Zensho Nakao, Yen-Wei Chen, M. Takashibu, and Y. Kina. Evolutionary reconstruction of color images
from projections. In ?, editor, Proceedings of the International Joint Conference of CFSA/IFIS/SOFT ‘95
on Fuzzy Theory and Applications, pages 505–410, Taipei, Taiwan, 7.-9. December 1995. World Scientific,
Singapore. †CCA87146/96 ga95bNakao.
[786] D. C. Popescu and H. Yan. Fractal-based method for color image compression. J. Electron. Imaging
(USA), 4(1):23–30, 1995. †CCA36942/95 ga95bPopescu.
[787] M. Prakash and M. Narasimha Murty. A genetic approach for selection of (near-) optimal subsets
of principal components for discrimination. Pattern Recognition Letters, 16(8):781–787, August 1995.
ga95bPrakash.
[788] Robert G. Reynolds and Stefan R. Rolnick. Learning the parameters for a gradient-based approach to
image segmentation from the results of a region growing approach using cultural algorithms. In ICEC’95
[2411], pages 819–824. †prog. ga95bReynolds.
[789] Hideo Saito and Masayuki Mori. Application of genetic algorithms to stereo matching of images. Pattern
Recognition Letters, 16(8):815–821, August 1995. * ga95bSaito.
[790] Juan Seijas and Jose L. Sanz-Gonzalez. Two spacecraft attitude determination using neural networks
and image processing. In Proceedings of the 1st International Conference, volume 2492, pages 985–994,
Orlando, FL, 17.-21. April 1995. Society of Photo- Optical Instrumentation Engineers, Bellingham, WA.
†A95-44471 ga95bSeijas.
[791] T. Shioyama, A. Okumura, and Y. Aoki. Genetic algorithm for thinning gray-scale images of characters. In Proceedings of the 8th International Conference, ICIAP95, pages 563–568, San Remo, Italy,
13.-15. September 1995. Spriger-Verlag, Berlin (Germany). †CCA87733/95 ga95bShioyama.
[792] D. Snyers and Y. Pétillot. Image processing optimization by genetic algorithm with a new coding scheme.
Pattern Recognition Letters, 16(8):843–848, August 1995. ga95bSnyers.
[793] J. Takaku and K. Shinohara. A method of block segmentation for images using genetic algorithm. Res.
Rep. Kogakuin Univ. (Japan), ?(78):211–216, 1995. (In Japanese) †EEA55492/96 ga95bTakaku.
[794] B. C. H. Turton and T. Arslan. An architecture for enhancing image processing via parallel genetic algorithms and data compression. In IEE/IEEE Sheffield ’95 [2427], pages 337–342. †conf.prog ga95bTurton.
[795] X. Yang, T. Furuhashi, K. Obata, and Y. Uchikawa. A study on signature verification using a new approach
to genetic based machine learning. In Proceedings of the 1995 IEEE International Conference on Systems,
Man and Cybernetics. Intelligent Systems for the 21st Century, volume 5, pages 4383–4386, Vancouver,
BC (Canada), 22.-25. October 1995. IEEE, New York, NY. †CCA10101/96 ga95bXYang.
[796] Y. Xuhua, Takeshi Furuhashi, K. Obata, and Yoshiki Uchikawa. Constructing a high performance signature
verification system using a GA method. In Proceedings of the Second New Zealand International TwoStream Conference on Artificial Neural Networks and Expert Systems, pages 170–173, Dunedin (New
Zealand), 20.-23. November 1995. IEEE Computer Society Press, Los Alamitos , CA. †CCA38623/96
ga95bXuhua.
[797] Zensho Nakao, Yen-Wei Chen, and Fath El Alem Fadlallah Ali. An evolutionary reconstruction technique
of plane uniform images. In ?, editor, Proceedings of International Conference on Neural Information
Processing, volume 1, pages 263–266, Beijing, China, 30. October-2. November 1995. Publishing House of
Electron. Ind., Beijing (China). †EEA33915/96 ga95bZNakao.
[798] Zhixiong Zhang and Kenneth J. Hintz. Evolving neural networks for video attitude and height sensor. In
?, editor, Proceedings of the 1995 Signal Processing, Sensor Fusion, and Target Recognition IV, volume
SPIE-2484, pages 383–393, Orlando, FL, 17.-19. April 1995. Society of Photo-Optical Instrumentation
Engineers, Bellingham, WA. †EI M024604/95 ga95bZZhang.
[799] Jean-José Jacq and Christian Roux. Registration of 3-D images by genetic optimization. Pattern Recognition Letters, 16(8):823–841, August 1995. ga95cJacq.
124
[800] Tomoharu Nagao, Takeshi Agui, and Hiroshi Nagahashi. Fitting three-dimensional models to stereo images
using a genetic algorithm. In Proceedings of the Visual Communications and Image Processing95, pages
129–139, Taipei, Taiwan, 24.-26. May 1995. SPIE – The International Society for Optical Engineering.
†EEA5031/95 ga95cNagao.
[801] Zensho Nakao, Yen-Wei Chen, and Fath El Alem Fadlallah Ali. Evolutionary reconstruction of plane images
from projections. In ?, editor, Proceedings of the International Joint Conference of CFSA/IFIS/SOFT ‘95
on Fuzzy Theory and Applications, pages 411–416, Taipei (Taiwan), 7.-9. December 1995. World Scientific,
Singapore. †CCA87147/96 ga95cNakao.
[802] Zensho Nakao, Yen-Wei Chen, M. Takashibu, and Y. Kina. An evolutionary reconstruction technique of
plane color images. In ?, editor, Proceedings of International Conference on Neural Information Processing,
volume 1, pages 343–346, Beijing, China, 30. October-2. November 1995. Publishing House of Electron.
Ind., Beijing (China). †CCA26946/96 ga95cZNakao.
[803] Zensho Nakao, Yen-Wei Chen, M. Takashibu, and Y. Kina. Evolutionary reconstruction of color images
from projections. In Proceedings of the International Joint Conference of CFSA/IFIS/SOFT 95 on Fuzzy
Theory and Applications, pages 405–410, Taipei, Taiwan, 7.-9. December 1995. World Scientific, Singapore.
†EEA 108454/96 ga95dZNakao.
[804] A. Kumar, A. R. Tannenbaum, and G. J. Balas. Optical flow: a curve evolution approach. In Proceedings of the International Conference on Image Processing, volume 3, pages 17–20, Washington, DC,
23.-26. October 1995. IEEE Computer Society Press, Los Alamitos , CA. †CCA44041/96 ga95eKumar.
[805] Robert G. Reynolds and Stefan R. Rolnick. Learning the parameters for a image segmentation using
cultural algorithms. In Proceedings First International Symposium on Intelligence in Neural and Biological
Systems, pages 240–247, Herndon, VA, 29.-31. May 1995. IEEE Computer Society Press, Los Alamitos,
CA. †CCA64395/95 ga95eReynolds.
[806] Yen-Wei Chen, Zensho Nakao, and M. Iguchi. Image restoration by a constrained genetic algorithm.
Bulletin of Faculty of Engineering, Ryukyus (Japan), ?(51):67–71, 1996. (In English) †EEA67187/96
ga96Y-WbChen.
[807] A. Nakagawa and A. Kutics. Parallel method for automatic shape determination via the evolution of
morphological sequences. In Proceedings of the Second International Conference on Vector and Parallel
Processing - Systems and Applications, pages 403–415, Porto (Portugal), 25.-27. September 1996. SpringerVerlag, Berlin (Germany). †CCA56814/97 ga96aANakagawa.
[808] A. Sluzek and Ho Kuen Wei. A genetic algorithm reconstructing surface profiles from linear images.
In ?, editor, Proceedings of the Fourth IASTED International Conference Robotics and Manufacturing,
volume ?, pages 163–165, Honolulu, HI (USA), 19.-22. August 1996. IASTED-Acta Press, Anaheim, CA
(USA). †EEA87137/97 ga96aASluzek.
[809] H. Absaloms and T. Tomikawa. A study of human eyes’ detection by window-pair chasing. Transactions
of the Institute of Electrical Engineers of Japan C, 116-C(9):1015–1028, 1996. (In English) †CCA3912/97
ga96aAbsaloms.
[810] Yuji Aoyagi and Toshiyuki Asakura. A study on traffic sign recognition in scene image using genetic
algorithms and neural networks. In Proceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation (IECON), volume 3, pages 1838–1843, Taipei (Taiwan),
5.-10. August 1996. IEEE Computer Society Press, Los Alamitos, CA. ga96aAoyagi.
[811] J. Aspiazu and E. Belmontmoreno. Parameter determination for quantitative pixel analysis using genetic
algorithms. In T. Vodinh, editor, Proceedings of the Society of Photo-Optical Instrumentation Engineers,
volume SPI-2835, pages 5–10, Denver, CO, 6.-8. August 1996. SPIE – The International Society for Optical
Engineering. †P73795 ga96aAspiazu.
[812] B. Esme, B. Sankur, and E. Anarim. Facial feature extraction using genetic algorithms. In ?, editor,
Proceedings of the Eighth European Signal Processing Conference, volume 3, pages 1511–1514, Trieste,
Italy, 10.-13. September 1996. Edizioni LINT Trieste, Trieste, Italy. †CCA18491/98 ga96aBEsme.
[813] M. L. Beretta, Degli G. Antoni, and A. G. B. Tettamanzi. Evolutionary synthesis of a fuzzy image
compression algorithm. In Proceedings of the Fourth European Congress on Intelligent Techniques and Soft
Computing, volume 1, pages 466–470, Aachen (Germany), 2.-5. September 1996. Verlag Mainz, Aachen
(Germany). †CCA43137/98 ga96aBeretta.
[814] Tommaso F. Bersano-Begey, Steven J. Ross, and John F. Vesecky. Evolving feature-extraction algorithms:
adapting genetic programming for image analysis in geoscience and remote sensing. In Proceedings of the
1996 International Geoscience and Remote Sensing Symposium (IGARRS’96), volume 4, pages 2077–2079,
Lincoln, NE, 27.-31. May 1996. IEEE, New York. * EEA 8369/97 CCA 8636/97 ga96aBersano-Begey.
Bibliography
125
[815] J. E. Boggess. A genetic algorithm approach to identifying roads in satellite images. In ?, editor, Proceedings
of the Ninth Florida Artificial Intelligence Research Symposium, FLAIRS-96, volume ?, pages 142–146,
Key West, FL, 20.-22. May 1996. Eckerd Coll., St. Petersburg, FL (USA). †CCA97997/96 ga96aBoggess.
[816] C. C. Borel, B. J. Cooke, and B. E. Laubscher. Partial removal of correlated noise in thermal imagery. In
?, editor, Signal and Data Processing of Small Targets, volume SPIE-2759, pages 131–138, Orlando, FL,
9. -11. April 1996. The International Society for Optical Engineering, Bellingham, WA. * EEA 108554/96
ga96aBorel.
[817] Chien-Chien Chiu and Po-Tsun Liu. TE-wave image reconstruction by genetic algorithm. In Proceedings
of the 4th International Conference on Millimeter Wave and Far Infrared Science and Technology, pages
92–94, Beijing, China, 12.-15. August 1996. IEEE, New York, NY. †EEA56019/97 ga96aC-CChiu.
[818] Chun-Hung Lin and Ja-Ling Wu. Genetic block matching algorithm for video coding. In Proceedings of
the International Conference on Multimedia Computing and Systems, pages 544–547, Hiroshima (Japan),
17.-23. June 1996. IEEE Computer Society Press, Los Alamitos, CA. * EEA 98104/96 ga96aC-HLin.
[819] Jean-Yves Carrier, John Litva, Henry Leung, and Titus Lo. Genetic algorithm for multiple target tracking
data association. In Michael K. Masten and Larry A. Stockum, editors, Acquisition, Tracking, and Pointing
X, volume SPIE-2739, pages 180–190, Orlando, FL, 10.-11. April 1996. The International Society for
Optical Engineering, Bellingham, WA. †A96-35348 SPIE/Boston P68447/96 ga96aCarrier.
[820] F. Cecconi, S. Mancuso, and D. Parisi. Edge eaters + jpeg: an artificial life approach to image compression.
In Parmee and Denham [2430], page ? †conf.prog ga96aCecconi.
[821] Duan Chenggang, Gu Zhongxiu, and Zheng Zhihang. Motion estimation based on genetic algorithm. J.
Shanghai Jiaotong Univ. (China), 30(12):157–160, 1996. In Chinese †CCA61823/97 ga96aChenggang.
[822] Wu Chengke, Liu Jing, Xu Zhengwei, and Zhou Lingyun. Image segmentation method by genetic algorithms. J. Xidian Univ. (China), 23(1):34–41, 1996. In Chinese †CCA38915/97 ga96aChengke.
[823] C. L. Chow, A. Si, R. W. H. Lau, and H. V. Leong. A genetic approach to video indexing. In Proceedings
of the International Conference on Neural Information Processing, volume 2, pages 805–810, Hong Kong,
24.-27. September 1996. Springer-Verlag, Berlin (Germany). †EEA25782/97 ga96aChow.
[824] C. A. Czarnecki, T. Routen, and J. Weistra. Matching images for radiotherapy verification using genetic algorithms. In Proceedings of the 1996 8th Mediterranean Electrotechnical Conference (MELECON’96), volume 2, pages 1075–1078, Bari (Italy), 13.-16. May 1996. IEEE, New York. * EI M015350/97
ga96aCzarnecki.
[825] Dae Nyung Chun and Hyun Seung Yang. Robust image segmentation using genetic algorithm with a fuzzy
measure. Pattern Recognition, 29(7):1195–1211, July 1996. ga96aDNChun.
[826] Dae Wook Kim, Sang Kyoon Kim, and Hang Joon Kim. An extraction method of a car license plate using
a distributed genetic algorithm. In Koza et al. [2412], page ? †conf.prog ga96aDWKim.
[827] Atam P. Dhawan, Yateen Chitre, Christine Kaiser-Bonasso, and Myron Moskowitz. Analysis of mammographic microcalcifications using gray-level image structure features. IEEE Transactions on Medical
Imaging, 15(3):246–259, June 1996. ga96aDhawan.
[828] M. DiIanne, D. Dickmann, and R. Luling. Simulated annealing and genetic algorithms for shape detection.
Control and Cybernetics, 25(?):159–175, ? 1996. †[480] ga96aDiIanne.
[829] Cory J. Engebretson, Jennifer L. Davidson, and Dan Ashlock. Genetic algorithms for texture model identification and synthesis. In Edward R. Doughert and Francoise Preteux, editors, Statistical and Stochastic
Methods for Image Processing, volume SPIE-2823, pages 20–31, ?, ? 1996. The International Society for
Optical Engineering, Bellingham, WA. * EEA15925/97 ga96aEngebretson.
[830] A. Erdogan, K. Leblebicioglu, U. Halici, and V. Atalay. Extraction of optimal texture features by a
genetic algorithm. In Proceedings of the Eleventh International Symposium on Computer and Information
Sciences, volume 1, pages 183–188, Antalya (Turkey), 6.-8. November 1996. Middle East Tech. Univ.
(Ankara, Turkey). †CCA38774/97 ga96aErdogan.
[831] F. Saitoh. A method for extracting outline using the genetic algorithm based on factors for perceptive grouping. In Proceedings of the 5th IEEE International Workshop on Robot and Human Communication RO-MAN’96, pages 364–369, Tsukuba, Japan, 11.-14. November 1996. IEEE, New York, NY.
†CCA19106/97 ga96aFSaitoh.
[832] Pasi Fränti, Juha Kivijärvi, Timo Kaukoranta, and Olli Nevalainen. Genetic algorithms for codebook
generation in vector quantization. Report A-1996-5, University of Joensuu, Department of Computer
Science, 1996. ga96aFranti.
126
[833] N. Funakubo and Y. Wang. Detection of geometric shapes by the combination of genetic algorithm and
subpixel accuracy. In Proceedings of the 13th International Conference on Pattern Recognition, volume 4,
pages 535–539, Vienna, Austria, 25.-29. August 1996. IEEE Comput. Soc. Press, Los Alamitos, CA (USA).
†EEA15562/97 ga96aFunakubo.
[834] G. S. K. Fung, J. N. K. Liu, and R. W. H. Lau. Feature selection in automatic signature verification
based on genetic algorithms. In Proceedings of the International Conference on Neural Information Processing, volume 2, pages 811–815, Hong Kong, 24.-27. September 1996. Springer-Verlag, Berlin (Germany).
†EEA25783/97 ga96aFung.
[835] G. Anelli, A. Broggi, and G. Destri. Toward the optimal decomposition of arbitrarily-shaped structuring
elements by means of a genetic approach. In Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, pages 227–234, Atlanta, GA, May 1996. Kluwer Academic Publ,
Dordrecht. †P74625 ga96aGAnelli.
[836] Gang Ou, Huihuang Chen, and Weiqi Wang. Real-time image registration based on genetic algorithms.
In ?, editor, Real-Time Imaging, volume SPIE-2661, pages 172–176, San Jose, CA, 29. -30. January 1996.
The International Society for Optical Engineering, Bellingham, WA. * EI M079219/96 ga96aGOu.
[837] Adam Ghozeil and David B. Fogel. Discovering patterns in spatial data using evolutionary programming.
In Koza et al. [2412], page ? †conf.prog ga96aGhozeil.
[838] Yossi Gofman and Nahum Kiryati. Detecting symmetry in grey level images: The global optimization approach. In Proceedings of the 13th International Conference on Pattern Recognition, volume I,
pages 889–894, Vienna (Austria), 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA.
ga96aGofman.
[839] Didier Gueriot, Eric Maillard, and Jean-Pierre Kernin. Sonar image registration through symbolic matching: A fuzzy local transform approach using genetic algorithms. In Proceedings of the 1996 MST/IEEE
Oceans Conference, volume 3, pages 1324–1329, Fort Lauderdale, FL, 23.-26. September 1996. IEEE,
Piscataway, NJ. * EI M037216/97 ga96aGueriot.
[840] Hideo Saito and Masayuki Mori. Object modeling from multiple images using genetic algorithms. In
Proceedings of the 13th International Conference on Pattern Recognition, volume IV, pages 669–673, Vienna
(Austria), 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA. ga96aHSaito.
[841] H. Shiraki and Hideo Saito. An interactive image retrieval system using genetic algorithms. In ?, editor,
Proceedings of the International Conference on Virtual Systems and Multimedia ’96 (VSMM’96), pages
257–261, Gifu, ? 1996. ? †Saito/www ga96aHShiraki.
[842] H. T. Tanaka and M. Ikeda. Curvature-based face surface recognition using spherical correlation principal
directions for curved object recognition. In Proceedings of the 13th International Conference on Pattern
Recognition, volume 3, pages 638–642, Vienna, Austria, 25.-29. August 1996. IEEE Computer Society
Press, Los Alamitos, CA. †CCA4230/97 ga96aHTTanaka.
[843] Christopher Harris and Bernard Buxton. Evolving edge detectors with genetic programming. In Koza
et al. [2412], page ? †conf.prog ga96aHarris.
[844] Tamae Haruki, Satoru Asai, Kenji Nakagawa, and Isamu Hanyu. MASCOT: mask pattern correction tool
using genetic algorithm. Japanese Journal of Applied Physics, Part 1, 35(12B):6374–6378, December 1996.
ga96aHaruki.
[845] S. Hata, Y. Saitoh, S. Kumamura, and K. Kaida. Shape extraction of transparent object using genetic algorithm. In Proceedings of the 13th International Conference on Pattern Recognition, volume 4,
pages 684–688, Vienna, Austria, 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA.
†EEA15568/97 ga96aHata.
[846] Jiann-Der Lee. Genetic approach to select wavelet features for contour extraction in medical ultrasonic
imaging. IEEE Eng. Med. Biol., 15(6):93–101, November-December 1996. * EI M045586/97 ga96aJ-DLee.
[847] Jerzy W. Bala, Kenneth A. De Jong, J. Huang, Haleh Vafaie, and Harry Wechsler. Visual routine for
eye detection using hybrid genetic architectures. In Proceedings of the 13th International Conference on
Pattern Recognition, volume III, pages 606–610, Vienna (Austria), 25.-29. August 1996. IEEE Computer
Society Press, Los Alamitos, CA. ga96aJBala.
[848] J. R. Parker. Algorithms for image processing and computer vision. ?, ?, 1996.
†www /Google
ga96aJRParker.
[849] Stefan Jäger. Recovering writing traces in off-line handwriting recognition: Using a global optimization technique. In Proceedings of the 13th International Conference on Pattern Recognition, volume III,
ga96aJager.
Bibliography
127
[850] K. S. Ray and J. Ghoshal. Neuro genetic approach to pattern recognition. In Proceedings of the 4th International Conference on Soft Computing, volume 1, pages 221–224, Fukuoka, Japan, 30. Sep- 5. Oct 1996.
World Scientific, Singapore. †CCA54141/97 ga96aKSRay.
[851] Ken D. Kihm and Donald P. Lyons. Optical tomography using a genetic algorithm. Optics Letters,
21(17):1327–1329, 1. September 1996. ga96aKihm.
[852] Naoki Kobayashi and Hideo Saito. Halftoning technique using genetic algorithms. Systems and Computers
in Japan, 27(10):89–97, September 1996. (English translation of [782]) * CCA 95016/96);*abstract onl
ga96aKobayashi.
[853] M. Koppen and B. Nickolay. Design of image exploring agent using genetic programming. In Proceedings
of the 4th International Conference on Soft Computing, volume 2, pages 549–552, Fukuoka, Japan, 30. Sep
- 5. Oct 1996. World Scientific, Singapore. †CCA56922/97 ga96aKoppen.
[854] Kunihiko Mori. Image restoration using genetic algorithm. In ?, editor, Japan Optics 1996 Extended
Abstracts, pages 33–34, ?, ? 1996. ? * www /Mori ga96aKunihikoMori.
[855] M. Kupinski, M. L. Giger, and K. Doi. Optimization of neural-network inputs with genetic algorithms. In
Digital Mammography ’96, pages 401–404, 1996. †P74190 ga96aKupinski.
[856] Leonid P. Yaroslavsky. Pseudorandom numbers: evolutionary models in image processing, biologym and
nonlinear dynamic systems. In H. John Caufield and Su-Shing Chen, editors, Adaptive Computing: Mathematical and Physical Methods for complex Environments, volume SPIE-2824, pages 46–55, ?, November
1996. The International Society for Optical Engineering. * www/SPIE Web ga96aLPYaroslavsky.
[857] David E. Larch. Improving the performance of genetic algorithms for terrain categorization of multispectral
images. In Edward R. Dougherty, Jaakko T. Astola, and Harold G. Longbotham, editors, Nonlinear Image
Processing VII, volume SPIE-2662, pages 229–235, San Jose, CA, 29. -30. January 1996. The International
Society for Optical Engineering, Bellingham, WA. ga96aLarch.
[858] Yossi Gofman and Nahum Kiryati. Detecting symmetry in grey level images: The global optimization approach. In Proceedings of the 13th International Conference on Pattern Recognition, volume I,
ga96aMPJohnson.
[859] Motohide Yoshimura, Syunichiro Oe, and Yasunori Shinohara. Texture segmentation method considering
optimum number of segmentation areas by using neural networks. Neural Networks, 3(?):1640–1645, ?
1996. ga96aMotohideYoshimura.
[860] P. Mrazek. Genetic algorithms and image search. In ?, editor, Proceedings of the Fourth International Conference in Central Europe on Computer Graphics and Visualization 96, in Cooperation with IFIP Working
Group 5.10 on Computer Graphics and Virtual Worlds, volume 2, pages 278–284, Plzen, Czech Republic,
12.-16. February 1996. Univ. West Bohemia, Plzen, Czech Republic. †CCA56066/96 ga96aMrazek.
[861] Myung-Sook Ko and Chang-Sun Hwang. Fuzzy contrast enhancement using the rules optimized by genetic algorithms. In Proceedings of the Ninth International Symposium on Artificial Intelligence in Joint
Cooperation with the Sixth International Conference on Industrial Fuzzy Control and Intelligent Systems,
pages 446–448, Cancun, Mexico, 12.-15. November 1996. Instituto Technologico y de Estudios Superiores
de Monterrey, Monterrey (Mexico). †CCA56402/99 ga96aMyung-SookKo.
[862] N. S. Rao, Krishnan Balasubramaniam, and Y. Y. Ji. Genetic algorithms for inversion of ultrasonic data for
the elastic-constants measurement in orthotropic material systems. In ?, editor, Proceedings of the Review
of Progress in Quantitative Nondestructive Evaluation, volume 16A, 16B, pages 1359–1366, Brunswick,
ME, jul 28. -aug 2. 1996. Plenum Press Div. Plenum Publishing Corp., New York. †P76016 ga96aNSRao.
[863] H. Nagamoto, Fath El Alem Fadlallah Ali, Zensho Nakao, and Yen-Wei Chen. Evolutionary binary CT
image reconstruction. In Proceedings of the IASTED International Conference, pages 293–295, Honolulu,
HI, 19.-21. August 1996. IASTED, Anaheim, CA (USA). †EEA57434/97 ga96aNagamoto.
[864] M. Nakasone, M. Takashibu, Zensho Nakao, and Yen-Wei Chen. Evolutionary CT image reconstruction
by exponential gray level growth. In Proceedings of the IASTED International Conference, pages 287–289,
Honolulu, HI, 19.-21. August 1996. IASTED, Anaheim, CA (USA). †EEA57432/97 ga96aNakasone.
[865] Jun Ohya and Fumio Kishino. Detecting facial expressions from face images using a genetic algorithm.
In Proceedings of the 13th International Conference on Pattern Recognition, volume III, pages 649–653,
Vienna (Austria), 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA. ga96aOhya.
[866] E. Ozcan and C. K. Mohan. Simulated annealing and genetic algorithms for partial shape matching.
In Proceedings of the Eleventh International Symposium on Computer and Information Sciences, volume 1, pages 173–181, Antalya (Turkey), 6.-8. November 1996. Middle East Tech. Univ. (Ankara, Turkey).
†CCA34566/97 ga96aOzcan.
128
[867] Peng Hui, Rong Gang, and Bian Zhaoqi. Automated face recognition using adaptive subspace method.
In Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics, volume 1,
pages 88–92, Beijing, China, 14.-17. October 1996. IEEE, Piscataway, NJ. †EI M087649/97 ga96aPHui.
[868] G. M. Pagliari and J. R. Greene. Image registration, parameter tuning and approximate function evaluation, using the genetic algorithm and digital image warping. In Proceedings of the 4th Africon Conference
in Africa - Electrical Energy Technology, Communication Systems, Human Resources, volume 2, pages
536–541, Stellenbosch, South Africa, 24.-27. September 1996. IEEE, New York, NY. ga96aPagliari.
[869] Robert P. Velthuizen, Lawrence O. Hall, and Laurence P. Clarke. Novel approach to feature extraction
for MIR segmentation. In Murray H. Loew and Kenneth M. Hanson, editors, Medical Imaging 1996:
Image Processing, volume SPIE-2710, pages 222–231, ?, April 1996. The International Society for Optical
Engineering. * www/SPIE Web ga96aRPVelthuizen.
[870] David W. Redmill, David R. Bull, and Ralph R. Martin. Genetic algorithms for fast search in fractal
image coding. In Rashid Ansari and Mark J. Smith, editors, Visual Communications and Image Processing, volume SPIE-2727, pages 1367–1376, ?, ? 1996. The International Society for Optical Engineering,
Bellingham, WA. * EEA86547/96 ga96aRedmill.
[871] M. Richeldi and P. L. Lanzi. La selezione efficiente delle caratteristiche con l’analisi della struttura profonda
dei dati. [Performing effective feature selection by investigating the deep structure of the data]. CSELT
Tech. Rep., 24(6):1073–1082, 1996. †EI M097611/97 ga96aRicheldi.
[872] Sang-Kyung Lee and Dongsig Jang. Translation, rotation and scale invariant pattern recognition using spectral analysis and hybrid genetic-neural-fuzzy networks. Computers & Industrial Engineering,
30(3):511–522, July 1996. * EI M131554/96 ga96aS-KLee.
[873] Seong-Whan Lee. Off-line recognition of totally unconstrained handwritten numerals using multilayer
cluster neural network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(6):648–652,
1996. ga96aS-WLee.
[874] Sang Kyoon Kim, Dae Wook Kim, and Hang Joon Kim. Recognition of vehicle licence plate using a
genetic algorithm based segmentation. In Proceedings of the 1996 IEEE International Conference on
Image Processing (ICIP’96), volume 2, pages 661–664, Lausanne (Switzerland), 16.-19. September 1996.
IEEE Computer Society Press, Los Alamitos, CA. * EI M038243/97 ga96aSKKim.
[875] S. K. Lim, H. C. Sim, and K. C. Wong. Two-dimensional object recognition based on a modified genetic
algorithm. In Proceedings of the International Conference on Neural Information Processing, volume 2,
pages 1323–1329, Hong Kong, 24.-27. September 1996. Springer-Verlag, Berlin (Germany). †EEA35078/97
ga96aSKLim.
[876] S. Kwong, Q. H. He, and K. F. Man. Genetic time warping for associated word recognition. International
Journal of Pattern Recognition and Artificial Intelligence, 10(7):849–865, November 1996. ga96aSKwong.
[877] Berkman Sahiner, Heang-Ping Chan, Datong Wei, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, and
Michell M. Goodsitt. Image feature selection by a genetic algorithm: Application to classification of mass
and normal breast tissue. Medical Physics, 23(10):1671–1684, ? 1996. * BA 170822/96 ga96aSahiner.
[878] Hideo Saito and M. Kimura. Shape modeling of multiple objects from shading images using genetic
algorithms. In Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics,
volume 4, pages 2463–2468, Beijing, China, 14.-17. October 1996. IEEE, New York, NY. †Saito/www
EEA25675/97 ga96aSaito.
[879] Hitoshi Sakano, Hiromi Kida, and Naoki Mukawa. Seeing the character images that an OCR system sees –
analysis by genetic algorithm. In Proceedings of the 13th International Conference on Pattern Recognition,
volume IV, pages 411–416, Vienna (Austria), 25.-29. August 1996. IEEE Computer Society Press, Los
Alamitos, CA. ga96aSakano.
[880] K. Sakaue. Stereo matching by the combination of genetic algorithm and active net. Syst. Comput. Jpn.
(USA), 27(1):40–48, 1996. †CCA26912/96 ga96aSakaue.
[881] Paul Scheunders, Hugo Van Hove, and S. Livens. On the local optimality of image quantizers. In Proceedings
of the 13th International Conference on Pattern Recognition, volume IV, pages 664–668, Vienna (Austria),
25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA. ga96aScheunders.
[882] H. Shirakawa and T. Nagao. Automatic extraction of symmetrical rectangular regions from images using a
genetic algorithm. J. Inst. Telev. Eng. Jpn. (Japan), 50(8):1150–1155, 1996. In Japanese †CCA95123/96
ga96aShirakaw.
Bibliography
129
[883] Jeffrey L. Solka, David J. Marchette, G. W. Rogers, E. C. Durling, J. E. Green, and D. Talsma. Region
of interest identification in unmanned aerial vehicle imagery. In Proceedings of the 25th AIPR Workshop,
volume SPIE-, pages 180–191, Washington, DC, 16.-18. October 1996. Society of Photo-Optical Instrumentation Engineers, Bellingham, WA. †A97-23189 ga96aSolka.
[884] Tomoharu Nagao and Shinya Masunaga. Automatic construction of image transformation processes using genetic algorithm. In Proceedings of the 1996 IEEE International Conference on Image Processing
(ICIP’96), volume 3, pages 731–734, Lausanne (Switzerland), 16.-19. September 1996. IEEE Computer
Society Press, Los Alamitos, CA. * EI M037610/97 ga96aTNagao.
[885] T. Wagner, C. Kueblbeck, and C. Schittko. Genetic selection and generation of textural features with PVM.
In Proceedings of the Third European PVM Conference, pages 305–310, Munich (Germany), 7.-9. October
1996. Springer-Verlag, Berlin (Germany). †EEA25668/97 ga96aTWagner.
[886] N. Tsunashima and Hideo Saito. Superquadrics parameter estimation from a shading image using genetic
algorithms. Transactions of the Institute of Electronics, Information, and Communication Engineers of
Japan D-II, J79D-II(5):795–802, 1996. (In Japanese) †Saito/www CCA56159/96 ga96aTsunashima.
[887] C. O. Turcano, T. Craciunescu, C. Niculae, and L. Alecu. A genetic approach to image reconstruction in
computerized tomography. In Proceedings of the 2nd International FLINS Workshop, pages 181–186, Mol,
Belgium, 25.-27. September 1996. World Scientific, Singapore. †EEA25324/97 ga96aTurcano.
[888] B. C. H. Turton, T. Arslan, and David H. Horrocks. A hardware architecture for a parallel genetic algorithm
for image registration. In ? [2431], page ? ga96aTurton.
[889] Marshall S. Veach. Recognition and reconstruction of visibility graphs using a genetic algorithm. In Koza
et al. [2412], page ? †conf.prog ga96aVeach.
[890] R. P. Velthuizen, L. O. Hall, and L. P. Clarke. An initial investigation of feature extraction with genetic algorithms for fuzzy clustering. Biomed. Eng. Appl. Basis Commun. (Taiwan), 8(6):496–517, 1996.
†CCA45048/97 ga96aVelthuizen.
[891] S. Vitulano, M. Nappi, D. Vitulano, and C. Mastrovito. Edge detection using a new definition of entropy.
In Proceedings of the 13th International Conference on Pattern Recognition, volume 2, pages 141–145,
Vienna, Austria, 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA. †EEA5359/97
ga96aVitulano.
[892] Terry A. Wilson, Steven K. Rogers, Randy P. Boussard, and Thomas F. Rathbun. Fusion of focus of
attention alternatives for FLIR imagery. In ?, editor, Automatic object recognition VI, volume SPIE2756, pages 76–86, Orlando, FL, 9. -10. April 1996. The International Society for Optical Engineering,
Bellingham, WA. * A96-31772 ga96aWilson.
[893] Won-Kyung Song and Zeungnam Bien. Optimization of parameters of color image segmentation using
evolutionary programming. In ?, editor, Proceedings of the First Asia-Pacific Conference, SEAL ’96,
pages 97–105, Taejon (Korea), 9.-12. November 1996. Springer-Verlag, Berlin (Germany). †CCA79407/97
ga96aWon-KyungSong.
[894] X. H. Yang, Takeshi Furuhashi, K. Obata, and Yoshiki Uchikawa. Selection of features for signature
verification using the genetic algorithm. Computers & Industrial Engineering, 30(4):1037–1046, ? 1996.
(Proceedings of the 16th Annual Conference on Computers and Industrial Engineering, Ashikaga (Japan),
7.-9. Mar. 1994) †P69502 ga96aXHYang.
[895] Yuan-Kai Wang and Kuo-Chin Fan. Applying genetic algorithms on pattern recognition: An analysis and survey. In Proceedings of the 13th International Conference on Pattern Recognition, volume II,
ga96aY-KWang.
[896] Yong-Suk Kim, Kyu-Phil Han, Eung-Joo Lee, and Yeong-Ho Ha. Robust 3-D depth estimation using
genetic algorithm in stereo image pairs. In Proceedings of the IEEE Asia Pacific Conference on Circuits
and Systems’96, pages 357–360, Seoul (South Korea), 18.-21. November 1996. IEEE, New York, NY.
†EEA57064/97 ga96aY-SKim.
[897] Yen-Wei Chen, Zensho Nakao, and Shinichi Tamura. Blind deconvolution by genetic algorithms. In
Edward R. Dougherty, Jaakko T. Astola, and Harold G. Longbotham, editors, Nonlinear Image Processing
VII, volume SPIE-2662, pages 192–196, San Jose, CA, 29. -30. January 1996. The International Society
for Optical Engineering, Bellingham, WA. ga96aY-WChen.
[898] Ying li Tian and H. T. Tsui. 3D shape recovery from two-color image sequences using a genetic algorithm.
In Proceedings of the 13th International Conference on Pattern Recognition, volume IV, pages 674–678,
Vienna (Austria), 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA. ga96aY-lTian.
130
[899] Y. Suzuki, Hideo Saito, and S. Ozawa. Extraction of the human face from natural background using
GAs. In Proceedings of the 1996 IEEE TENCON - Digital Signal Processing Applications, volume 1, pages
221–226, Perth (Australia), ? 1996. IEEE. †Saito/www ga96aYSuzuki.
[900] Yang Xuan and Liang Dequn. An improved genetic algorithm of solving IFS code of fractal image. In
Proceedings of the 3rd International Conference on Signal Processing, volume 2, pages 1405–1408, Beijing
(China), 14.-18. October 1996. IEEE, New York, NY. †CCA70904/97 ga96aYangXuan.
[901] Yang Xuhua, Takeshi Furuhashi, K. Obata, and Yoshiki Uchikawa. Selection of features for signature
verification using the genetic algorithm. Computers & Industrial Engineering, 30(4):1037–1045, 1996.
ga96aYangXuhua.
[902] Zensho Nakao, Yen-Wei Chen, and T. Tengan. Neuro-genetic reconstruction of ternary gray images from
projections. In ?, editor, Proceedings of the Fourteenth International Conference Applied Informatics,
volume ?, pages 417–420, Innsbruck, Austria, 20.-22. February 1996. IASTED-ACTA Press, Anaheim, CA
(USA). †CCA26164/98 ga96aZNakao.
[903] Zensho Nakao, Midori Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by image partitioning. In ?, editor, Proceedings of the First Asia-Pacific Conference Simulated Evolution and Learning,
pages 81–88, Taejon (Korea), 9.-12. November 1996. Springer-Verlag, Berlin (Germany). †EEA102844/97
ga96aZenNakao.
[904] Yuji Aoyagi and Toshiyuki Asakura. Detection and recognition of traffic sign in scene image using genetic
algorithms and neural networks. In Proceedings of the 1996 35th SICE Annual Conference, SICE496, pages
1343–1348, Tottori, Japan, 24.-26. July 1996. Society of Instrument and Control Engineers (SICE), Tokyo
(Japan). †EI M009243/97 ga96bAoyagi.
[905] Jerzy W. Bala and Harry Wechsler. Shape analysis using hybrid learning. Pattern Recognition, 29(8):1323–
1333, August 1996. ga96bBala.
[906] P. Bauer, U. Bodenhofer, and E. P. Klement. A fuzzy system for image pixel classification and its genetic
optimization. In ?, editor, Proceedings of the Thirteenth European Meeting onCybernetics and Systems
Research, volume 1, pages 285–290, Vienna, Austria, 9.-12. April 1996. Austrian Soc. Cybernetic Studies,
Vienna, Austria. * CCA87140/96 ga96bBauer.
[907] Bill P. Buckles, Frederick E. Petry, Devaraya Prabhu, and Matthew Lybanon. Genetic algorithms for
pattern recognition. In Pal and Wang [1365], chapter 8. Mesoscale feature labeling from satellite images,
page ? †toc ga96bBuckles.
[908] Chien-Chien Chiu and Po-Tsun Liu. Image reconstruction of a perfectly conducting cylinder by the genetic
algorithm. IEE Proceedings Microwaves, Antennas and Propagation, 143(3):249–253, 1996. ga96bC-CChiu.
[909] Dae Nyung Chun and Hyun Seung Yang. Unsupervised image segmentation using a genetic algorithm. J.
KISS(B), Softw. Appl. (South Korea), 23(3):322–331, 1996. (In Korean) †CCA97871/96 ga96bDNChun.
[910] Jason M. Daida, Tommaso F. Bersano-Begey, Steven J. Ross, and John F. Vesecky. Evolving featureextraction algorithm: adapting genetic programming for image analysis in geoscience and remote sensing.
In Proceedings of the 1996 International Geoscience and Remote Sensing Symposium, volume 4, pages
2077–2079, Lincoln, NE, 28.-31. May 1996. IEEE, Piscataway, NJ. †EI M159149/96 ga96bDaida.
[911] Jennifer L. Davidson, Xia Hua, and Dan Ashlock. Comparison of genetic algorithm, regression, and
Newton’s method for parameter estimation of texture models. In Proceedings of the 1996 IEEE Southwest
Symposium on Image Analysis and Interpretation, pages 201–206, San Antonio, TX, 8.-9. April 1996.
IEEE, Piscataway, NJ. †EI M110376/96 ga96bDavidson.
[912] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithms applied to fourier
descriptor based geometric-models for anatomical object recognition in medical images. In K. M. Hanson
M. H. Loew, editor, ETSI konferenssi, volume SPIE-2710, page ?, Newport Beach, CA, 12.-15. February
1996. SPIE - Int. Soc. Optical Engineering, Bellingham. †P68352 ga96bDelibasis.
[913] M. Di Ianni, R. Diekmann, R. Luling, J. Schulze, and S. Tschoke. Simulated annealing and genetic algorithms for shape detection. Control Cybern. (Poland), 25(1):159–175, 1996. †CCA72586/96 ga96bDiIanni.
[914] C. E. Floyd, G. D. Tourassi, and J. A. Baker. Use of genetic algorithms for computer-aided diagnosis
of breast cancers from image features. In K. M. Hanson M. H. Loew, editor, ETSI konferenssi, volume
SPIE-2710, page ?, Newport Beach, CA, 12.-15. February 1996. SPIE - Int. Soc. Optical Engineering,
Bellingham. †P68352 ga96bFloyd.
[915] Ling Guan. An optimal neuron evolution algorithm for constrained quadratic programming in image
restoration. IEEE Transactions on Systems, Man, and Cybernetics, A, Systems Humans, 26(4):513–518,
July 1996. ga96bGuan.
Bibliography
131
[916] Hideo Saito and Makoto Kimura. Superquadrics modeling of multiple objects from shading images using
genetic algorithms. In Proceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation (IECON), volume 3, pages 1589–1593, Taipei (Taiwan), 5.-10. August
1996. IEEE Computer Society Press, Los Alamitos, CA. ga96bHSaito.
[917] Jiann-Der Lee. Genetic approach to select wavelet features for contour extraction in medical ultrasonic
imaging. Electronics Letters, 32(23):2137–2138, 1996. ga96bJ-DLee.
[918] Liu Jianzhuang, Xie Weixin, Gao Xinbo, and Ma Kun. Hausdorff distance based object matching with
genetic algorithms. Acta Electronica Sinica (China), 24(4):1–6, 1996. (In Chinese) †CCA87114/96
ga96bJianzhua.
[919] Kyung Ho Cho and Sung Tack Ko. A prospect of new method for EICT image reconstruction – a hybrid
approach using genetic algorithm and Newton-Raphson method. J. Korea Inf. Sci. Soc. (South Korea),
33B(4):91–100, 1996. (In Korean) †CCA 84137/96 ga96bKHCho.
[920] K. D. Kihm, K. Okamoto, D. Tsuru, and H. S. Ko. Adoption of a genetic algorithm (GA) for tomographic
reconstruction of line-of-sight optical images. Exp. Fluids (Germany), 22(2):137–143, 1996. †EEA27976/97
ga96bKihm.
[921] S. L. Y. Lam and I. Ahmad. A parallel genetic search algorithm for motion estimation. In Y. S. Lee,
S. Rao, and A. Ghafoor, editors, Proceedings of, volume SPIE-?, page ?, Philadelphia, PA, 23.-24. October
1996. SPIE - Int. Soc. Optical Engineering, Bellingham. †P67221 ga96bLam.
[922] David E. Larch. Improving the performance of genetic algorithms for terrain categorization of multispectral
images. In ?, editor, Algorithms for Multispectral and Hyperspectral Imagery II, volume SPIE-2758, pages
2–9, Orlando, FL, 9.-11. April 1996. The International Society for Optical Engineering, Bellingham, WA.
†A96-42074 ga96bLarch.
[923] Motohide Yoshimura and Syunichiro Oe. Texture image segmentation by genetic algorithms. In Proceedings
of IEEE International Conference on Evolutionary Computation, volume ?, pages 125–130, ?, ? 1996.
IEEE, Piscataway, NJ. ga96bMotohideYoshimura.
[924] Riccardo Poli. Genetic programming for feature detection and image segmentation. In Fogarty? [2432],
pages 149–164. ga96bPoli.
[925] Richard R. Brooks, S. S. Iyengar, and Jianhua Chen. Self-calibration of a noisy multiple-sensor system
with genetic algorithms. In Anbp Wang, editor, Self-Calibrated Intelligent Optical Sensors and Systems,
volume SPIE-2594, pages 20–30, Philadelphia, PA, 25. -26. October 1995 1996. The International Society
for Optical Engineering, Bellingham, WA. * EI M082528/96 ga96bRRBrooks.
[926] S. K. Lim, H. C. Sim, and K. C. Wong. Two-dimensional object recognition using genetic algorithm with
geometric constraints. In Proceedings of the IASTED International Conference, pages 304–306, Honolulu,
HI, 19.-21. August 1996. IASTED, Anaheim, CA (USA). †EEA57437/97 ga96bSKLim.
[927] Paul Scheunders. A genetic Lloyd-Max image quantization algorithm.
17(5):547–556, 1. May 1996. ga96bScheunders.
Pattern Recognition Letters,
[928] S. G. Thompson, M. A. Bramer, and A. Kalus. MPGAIA - A Massively Parallel Genetic Algorithm for
Image Analysis. In Fogarty? [2432], pages 277–290. ga96bThompson.
[929] B. C. H. Turton and T. Arslan. An architecture for enhancing image processing via parallel genetic
algorithms & data compression. In ? [2431], page ? ga96bTurton.
[930] Yang Xuhua, Takeshi Furuhashi, K. Obata, and Yoshiki Uchikawa. On finding of personal characteristics
of signatures using genetic algorithm with a local improvement mechanism. Transactions of the Institute
of Electrical Engineers of Japan C, 116-C(5):548–555, 1996. In Japanese ga96bXuhua.
[931] Yuan-Kai Wang and Kuo-Chin Fan. A genetic approach to the normalization of distorted character
images. In Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics,
volume 3, pages 1670–1675, Beijing (China), 14.-17. October 1996. IEEE, New York, NY. †CCA 19115/97
ga96bY-KWang.
[932] Yen-Wei Chen, Zensho Nakao, Kouichi Arakaki, Ikuo Nakamura, and Shinichi Tamura. Reconstruction of
neutron penumbral images by a constrained genetic algorithm. In Proceedings of the 13th International
Conference on Pattern Recognition, volume IV, pages 525–529, Vienna (Austria), 25.-29. August 1996.
IEEE Computer Society Press, Los Alamitos, CA. ga96bY-WChen.
[933] Zensho Nakao, Yen-Wei Chen, and Fath El Alem Fadlallah Ali. Evolutionary reconstruction of plane binary
images from projections. In Proceedings of the Fourteenth International Conference Applied Informatics,
(USA). †CCA29380/98 ga96bZNakao.
132
[934] Minoru Fukumi and N. Akamatsu. A method to design a neural pattern recognition system by using
a genetic algorithm with partial fitness and a deterministic mutation. In Proceedings of the 1996 IEEE
International Conference on Systems, Man and Cybernetics, volume 3, pages 1989–1993, Beijing, China,
14.-17. October 1996. IEEE, New York, NY. †CCA22215/97 ga96cFukumi.
[935] Hideo Saito and Masayuki Mori. Shape modeling from multiple images using genetic algorithms. In ?,
editor, Proceedings of the International Conference on Virtual Systems and Multimedia ’96 (VSMM’96),
pages 251–256, Gifu, ? 1996. ? †Saito/www ga96cHSaito.
[936] Paul Scheunders. Genetic approach towards optimal color image quantization. In Proceedings of the 1996
IEEE International Conference on Image Processing (ICIP’96), volume 3, pages 1031–1034, Lausanne
(Switzerland), 16.-19. September 1996. IEEE Computer Society Press, Los Alamitos, CA. * EI M037439/97
ga96cScheunders.
[937] Yen-Wei Chen, Zensho Nakao, Kouichi Arakaki, and Shinichi Tamura. Reconstruction of neutron penumbral images by a genetic algorithm with Laplacian constraint. In Proceedings of the 1996 IEEE Signal
Processing Society Workshop, pages 99–108, Kyoto (Japan), 4.-6. September 1996. IEEE, New York, NY.
†EEA108624/96 ga96cY-WChen.
[938] Zensho Nakao, Yen-Wei Chen, M. Takashibu, and Y. Kina. Evolutionary reconstruction of gray images
from projections. In ?, editor, Proceedings of the Fourteenth International Conference Applied Informatics,
(USA). †CCA26337/98 ga96cZNakao.
[939] Jason M. Daida, Robert R. Bertram, David R. Lyzenga, Christian Wolf, David T. Walker, Stephen A.
Stanhope, Guy A. Meadows, John F. Vesecky, and Donald E. Lund. Measuring small-scale water surface
waves: nonlinear interpolation & integration techniques for slope-image data. In Proceedings of the 1996
International Geoscience and Remote Sensing Symposium, volume 4, pages 2219–2221, Lincoln, NE (USA),
28.-31. May 1996. IEEE, Piscataway, NJ. †EI M168860/96 ga96dDaida.
[940] Riccardo Poli. Genetic programming for feature detection and image segmentation. In ?, editor, Proceedings
of the Evolutionary Computing, volume ?, pages 110–125, Brighton, UK, 1.-2. April 1996. Springer-Verlag,
Berlin (Germany). †CCA97942/96 ga96dPoli.
[941] Yen-Wei Chen, Zensho Nakao, and Xue Fang. A parallel genetic algorithm based on the island model for
image restoration. In Proceedings of the 1996 IEEE Signal Processing Society Workshop, pages 109–118,
Kyoto (Japan), 4.-6. September 1996. IEEE, New York, NY. †EEA108625/96 ga96dY-WChen.
[942] Zensho Nakao, Yen-Wei Chen, and Fath El Alem Fadlallah Ali. Evolutionary reconstruction of plane
binary images from projections. Jpn. J. Fuzzy Theory Syst. (USA), 8(4):585–595, 1996. †CCA99211/97
ga96dZNakao.
[943] Yen-Wei Chen, Zensho Nakao, Xue Fang, and S. Tamura. A parallel genetic algorithm for image restoration.
Vienna, Austria, 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, CA. †EEA15570/97
ga96eY-WChen.
[944] Yen-Wei Chen, Zensho Nakao, Kouichi Arakaki, and Shinichi Tamura. Distortion-free reconstruction of
neutron penumbral images by a genetic algorithm. IEEE Transactions on Nuclear Science, 44(3):905–910,
1996. †P75956 ga96fY-WChen.
[945] Andrew D. J. Cross, Richard C. Wilson, and Edwin R. Hancock. Inexact graph matching using genetic
search. Pattern Recognition, 30(6):953–970, June 1997. ga97aADJCross.
[946] A. M. Alimi. An evolutionary neuro-fuzzy approach to recognize on-line Arabic handwriting. In Proceedings
of the Fourth International Conference on Document Analysis and Recognition, volume 1, pages 382–386,
Ulm, Germany, 18.-20. August 1997. IEEE Computer Society Press, Los Alamitos , CA. †CCA90179/97
ga97aAMAlimi.
[947] M. Abdulghafour and A. Fellah. A hybrid approach of genetic algorithms and fuzzy logic applied to feature
extraction from multisensory images. In Proceedings of the IEEE International Conference on Systems,
Man, and Cybernetics, volume 1, pages 199–204, Orlando, FL, 12.-15. October 1997. IEEE, Piscataway,
NJ. †A98-20239 ga97aAbdulgha.
[948] T. Akiyama and M. Katagiri. Image analysis of urban road networks through color evaluation by using
fuzzy clustering. Jpn. J. Fuzzy Theory Syst. (USA), 9(6):643–657, 1997. †CCA78549/99 ga97aAkiyama.
[949] Bai Li and Dave Elliman. Genetic algorithms for pattern recognition. In Blumenstein [2433], pages 166–170.
ga97aBLi.
Bibliography
133
[950] Bing Wang. Signal processing and image restoration techniques for two-dimensional eddy current nondestructive evaluation. PhD thesis, Iowa State University, 1997. †NASA ADS ga97aBWang.
[951] Catherine Bounsaythip and Jarmo T. Alander. Genetic algorithms in image processing - a review. In
Alander [2415], pages 173–192. (available via anonymous ftp site ftp.uwasa.fi directory cs/3NWGA file
Bounsaythip.ps.Z) ga97aBounsaythip.
[952] Carla L. Pagliari and Tim J. Dennis. Stereo disparity computation in the DCT domain using genetic
algorithms. In Proceedings of the International Conference on Image Processing, volume III, pages
256–259, Santa Barbara, CA, 26.-29. October 1997. IEEE Computer Society Press, Los Alamitos, CA.
ga97aCLPagliari.
[953] C. Vertan, C. I. Vertan, and V. Buzuloiu. Reduced computation genetic algorithm for noise removal. In
Proceedings of the Sixth International Conference on Image Processing and its Applications, volume 1,
pages 313–316, Dublin (Ireland), 14.-17. July 1997. IEE, London (UK). †CCA89927/97 ga97aCVertan.
[954] C. Y. Wu, O. Tsujii, M. T. Freedman, and S. K. Mun. Image feature analysis for classification of microcalfications in digital mammography - neural networks and genetic algorithms. In K. M. Hansen, editor,
Proceedings of, volume SPIE-3034, pages 501–509, Newport Beach, CA, 25.-28. February 1997. SPIE –
The International Society for Optical Engineering, Bellingham. †P75417 ga97aCYWu.
[955] G. Calafiore and B. Bona. Recognition of multidimensional affine patterns using a constrained GA. In
Proceedings of the 1997 IEEE International Conference on Neural Networks, volume 2, pages 1235–1239,
Houston, TX, 9.-12. June 1997. IEEE, New York, NY. †EEA99097/97 ga97aCalafior.
[956] D. Carreno and X. Ginesta. Facial image recognition using neural networks and genetic algorithms. In
?, editor, Proceedings of the 7th International Conference, CAIP97, pages 605–612, Kiel, Germany, 10.12. September 1997. Springer-Verlag, Berlin. †CCA103389/97 ga97aCarreno.
[957] Christopher Choi and Andrew Jennings. Segmentation of cell images using artificial life approach. In
Blumenstein [2433], pages 145–149. ga97aChoi.
[958] Chun-Hung Lin and Ja-Ling Wu. Automatic facial feature extraction by applying genetic algorithms. In
Houston, TX, 9.-12. June 1997. IEEE, New York, NY. †EEA99594/97 ga97aChun-Lin.
[959] Jerzy Cytowski. An application of a genetic algorithm to edge detection. In Ošmera [2434], pages 38–43.
ga97aCytowski.
[960] Dae Gyu Bae and Joon Hee Han. Contour extraction using a genetic algorithm. J. KISS(B), Softw. Appl.
(South Korea), 24(10):1063–1072, 1997. (In Korean) †CCA18327/98 ga97aDaeGyBae.
[961] Der-Sheng Lin and Jin-Jang Leou. A genetic algorithm approach to Chinese handwriting normalization. IEEE Transactions on Systems, Man, and Cybernetics, 27(6):999–1007, 1997.
†CCA1118/98
ga97aDer-SLin.
[962] Eric G. Johnson and Mustafa A. G. Abushagur. Image deconvolution using a micro genetic algorithm.
Optics Communication, 140(1-3):6–10, 1997. †EEA86693/97 ga97aEGJohnson.
[963] E. Ozcan and C. K. Mohan. Partial shape matching using genetic algorithms. Pattern Recognition Letters,
18(10):987–992, 1997. †CCA18417/98 ga97aEOzcan.
[964] Fabrizio Russo. Nonlinear filtering of noisy images using neuro-fuzzy operators. In Proceedings of the
1997 International Conference on Image Processing, volume 3, pages 412–415, Santa Barbara, CA (USA),
26.-29. October 1997. IEEE, Los Alamitos, CA. †EI M028438/98 ga97aFRusso.
[965] F. Saitoh. Exraction of disconnected closed curve using genetic algorithm with perceptive grouping factors.
In Proceedings of the 6th IEEE International Workshop on Robot and Human Communication, pages 254–
259, Sendai (Japan), sep 29.- oct 1. ? 1997. IEEE, New York, NY. †P79045/97 ga97aFSaitoh.
[966] Luisa Franconi and Christopher Jennison. Comparison of a genetic algorithm and simulated annealing
in an application to statistical image reconstruction. Statistics and Computing (UK), 7(3):193–207, 1997.
ga97aFranconi.
[967] Bernd Freisleben and A. Schrader. An evolutionary approach to color image quantization. In Proceedings
of 1997 IEEE International Conference on Evolutionary Computation, pages 459–464, Indianapolis, IN,
13.-16. April 1997. IEEE, New York, NY. †EEA57129/97 ga97aFreisleben.
[968] Y. Fujiwara and H. Sawai. Evolutionary computation applied to 3D image reconstruction. In Proceedings
13.-16. April 1997. IEEE, New York, NY. †CCA45275/97 ga97aFujiwara.
134
[969] Giridharan Iyengar and Andrew B. Lippman. Evolving discriminators for querying video sequences. In
Ishwar K. Sethi and Ramesh C. Jain, editors, Storage and Retrieval for Image and Video Databases V,
volume SPIE-3022, pages 154–165, ?, January 1997. The International Society for Optical Engineering. *
www/SPIE Web ga97aGIyengar.
[970] H. Saito and S. Kirihara. Obtaining polyhedral model by integration of multiview images via genetic algorithms. In Kevin S. Harding and Donald J. Svetkoff, editors, Three-Dimensional Imaging and Laser-Based
Systems for Metrology and Inspection III, volume SPIE-3204, pages ?–?, Pittsburgh, PA, 14. -15. October
1997. The International Society for Optical Engineering, Bellingham, WA. †prog. ga97aHSaito.
[971] Hirokatsu Shimada. Coin identifying method and its device, 1997. (JP patent no. 9231372. Issued Sept 5
1997) * fi.espacenet.com ga97aHShimada.
[972] Hitoshi Yamada and K. Yamane. Application of genetic algorithm to particle image velocimetry. Transactions of the Society of Instrumient and Control Engineers (Japan), 33(4):305–307, 1997. In Japanase
†EEA78714/97 ga97aHYamada.
[973] I. Kelly. A two-stage evolutionary model for the computer-aided design of colour combinations. Digit.
Creat. (UK), 8(3-4):106–112, 1997. †CCA14195/98 ga97aIKelly.
[974] J. Ohya. Estimating facial expressions and face poses from face images using a genetic algorithm. Transactions of the Institute of Electronics, Information, and Communication Engineers D-II (Japan), J80DII(8):2152–2160, 1997. In Japanese †CCA89876/97 ga97aJOhya.
[975] Christophe Jacquelin, Andre Aurengo, and Gilles Hejblum. Evolving descriptors for texture segmentation.
Pattern Recognition, 30(7):1069–1080, July 1997. ga97aJacquelin.
[976] Jae Woo Kim, Byoung Ho Kang, Poong Min Kim, and Maeng Sub Cho. Human face location in image
sequences using genetic templates. In Proceedings of the 1997 IEEE International Conference on Systems,
NJ. †EI M025996/98 ga97aJaeWooKim.
[977] Jerry A. Burman. Non-literal pattern recognition method for hyperspectral imagery exploitation using
evolutionary computing methods. In ?, editor, ?, volume SPIE-3118, pages 250–261, San Diego, CA
(USA), 28.-30. July 1997. Society of Photo-Optical Instrumentation Engineers, Bellingham, WA. †A9811781 ga97aJeBurman.
[978] J. Jiang and Darren Butler. Design of an adaptive genetic learning neural network system for image
compression. In Proc. of the, volume SPIE-3030, pages 21–28. SPIE - Int. Soc. Opt. Eng. (USA), 1997.
†CCA56584/97 ga97aJiang.
[979] Jiming Liu, Y. Y. Tang, and Y. C. Cao. Evolutionary autonomous agents approach to image feature
extraction. IEEE Transactions on Evolutionary Computation, 1(2):141–158, 1997. †EI M005531/98
ga97aJiminLiu.
[980] Jin Seon Yeun, Nam Kim, J. K. Pan, R. S. Kim, J. U. Um, and S. H. Kim. Performance evaluation
of the GA/SA hybrid heuristic optimum filter for optical pattern recognition. In ?, editor, Proceedings
of the Applications of artificial neural networks in image processing II, volume SPIE-, pages 109–114,
Bellingham, WA, 12.-13. February 1997. Society of Photo-Optical Instrumentation Engineers, Bellingham,
WA. †A97-34783 ga97aJinSeonYeun.
[981] Kyu-Heon Lee and Choon-Woo Kim. Selection of color samples based on genetic algorithm for color correction. J. Korean Inst. Telemat. Electron. South Korea), 34S(1):94–104, 1997. In Korean †EEA66902/97
ga97aK-HLee.
[982] Tsuyoshi Kawaguchi, Takeharu Baba, and R. Nagata. 3-d object recognition using a genetic algorithmbased search scheme. IEICE Transactions on Information and Systems, E80-D(11):1064–1073, 1997.
†CCA1091/98 ga97aKawaguchi.
[983] K. Khalili and A. H. Redford. Enhancing vision data using algorithm as an aid to assembly. Int. J. Flex.
Autom. Integr. Manuf. (USA), 5(3-4):123–131, 1997. †CCA55022/99 ga97aKhalili.
[984] F. Kobayashi, T. Fukuda, K. Shimojima, and T. Takusagawa. Shape measurement method integrating stereo vision and shape-from-shading with evolutionary programming. In Proceedings of the 1997
IEEE/RSJ International Conference on Intelligent Robot and Systems, volume 3, pages 1561–1566, Grenoble (France), 7.-11. September 1997. IEEE, New York, NY. †EEA39350/98 ga97aKobayash.
[985] A. C. W. Kotcheff and C. J. Taylor. Automatic construction of eigenshape models by genetic algorithm. In
Proceedings of the 15th International Conference, Information Processing in Medical Imaging, pages 1–14,
Poultney, VT, USA, 9.-13. June 1997. Springer-Verlag, Berlin (Germany). †CCA74145/97 ga97aKotcheff.
Bibliography
135
[986] K. Krishna, K. R. Ramakrishnan, and M. A. L. Thathachar. Vector quantization using genetic k-means
algorithm for image compression. In Proceedings of the 1997 International Conference on Information,
Communications and Signal Processing, volume 3, pages 1585–1587, Singapore, 9.-12. September 1997.
IEEE, New York, NY. †CCA66307/98 ga97aKrishna.
[987] L.-Y. Tseng and Shiueng Bien Yang. Genetic algorithms for clustering, feature selection and classification.
In Proceedings of the 1997 IEEE International Conference on Neural Networks, volume 3, pages 1612–1616,
Houston, TX, 9.-12. June 1997. IEEE, New York, NY. †CCA79387/97 ga97aL-YTseng.
[988] L. I. Voicu, W. A. Rabadi, and Harley R. Myler. Object support reconstruction from the support of its
autocorrelation using multiresolution genetic algorithms. Optical Engineering, 36(10):2820–2827, October
1997. ga97aLIVoicu.
[989] Donald P. Lyons and Ken D. Kihm. Tomographic-image reconstruction using a hybrid genetic algorithm.
Optics Letters, 22(12):847–849, 15. June 1997. †EEA86695/97 ga97aLyons.
[990] M. M. Mollah, T. Yahagi, and Jianming Lu. Image modeling and restoration: a genetic approach. In
Proceedings of the 1997 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, volume 2, pages 1006–1009, Victoria, BC (USA), 20.-22. August 1997. IEEE, New York, NY.
†CCA99425/97 ga97aMMMollah.
[991] M. Mirmehdi, P. L. Palmer, and J. Kittler. Robust line segment extraction using genetic algorithms. In
Proceedings of the Sixth International Conference on Image Processing and its Applications, volume 1,
pages 141–145, Dublin (Ireland), 14.-17. July 1997. IEE, London (UK). †CCA90156/97 ga97aMMirmehdi.
[992] Michifumi Yoshioka and Sigeru Omatu. Noise reduction method for image processing using genetic algorithm. In Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics,
volume 3, pages 2650–2655, Orlando, FL, 12.-15. October 1997. IEEE, Piscataway, NJ. †EI M021881/98
ga97aMYoshioka.
[993] M. Mirmedhi, P. L. Palmer, and J. Kittler. Genetic optimisation of the image feature extraction process.
Pattern Recognition Letters, 18(4):355–365, 1997. †CCA70695/97 ga97aMirmedhi.
[994] Motohide Yoshimura and Syunichiro Oe. Edge detection of texture image using genetic algorithms. In
Proceedings of the 36th SICE Annual Conference, pages 1261–1266, Tokushima, Japan, 29.-31. July 1997.
Soc. Instrum & Control Eng. 1997, Tokyo, Japan. †CCA84700/98 ga97aMotohideYoshimura.
[995] Ning Wang, Liren Liu, Binquan Wang, Yaozu Yin, and Xiaona Yan. Pattern recognition based on morphological transform and genetic algorithm. In ?, editor, Optical Pattern Recognition VIII, volume SPIE-3073,
pages 69–75, Bellingham, WA, 22.-23. April 1997. Society of Photo-Optical Instrumentation Engineers,
Bellingham, WA. †CCA 981/98 A97-33828 ga97aNingWang.
[996] H. Nugroho, S. Takahashi, Y. Ooi, and S. Ozawa. Detecting human face from monocular image sequences
by genetic algorithms. In Proceedings of the 1997 IEEE International Conference on Acoustics, Speech,
and Signal Processing, pages 2533–2536, Munich (Germany), 21.-24. April 1997. IEEE Computer Society
Press, Los Alamitos , CA. †P2533 ga97aNugroho.
[997] Koji Okamoto, Daigo Tsuru, and Motoo Fumizawa. Reconstruction of three-dimensional density distribution from the truncated projection images. In Proceedings of the 1997 ASME Fluids Engineering Division
Summer Meeting, volume 13, page 10p, Vancouver, BC (Canada), 22.-26. June 1997. ASME, New York.
†EI M184349/97 ga97aOkamoto.
[998] P. Salek, J. Tarasiuk, K. Wierzbanowski, and A. Baczmanski. Genetic algorithms, a new concept in texture
analysis. In Proceedings of the Texture and Anisotropy of Polycrystals, pages 139–144, Clausthal Zellerf
(Germany), 22.-25. September 1997. Transtec Publications Ltd, Zurich-Uetikon. †P80563 ga97aPSalek.
[999] P. W. M. Tsang. A genetic algorithm for affine invariant object shape recognition. Proc. Inst. Mech. Eng.
I, J. Syst. Control Eng. (UK), 211(I5):385–392, 1997. †CCA18428/98 ga97aPWMTsang.
[1000] Jo Ann Parikh, John S. DaPonte, Joseph N. Vitale, and George Tselioudis. Comparison of genetic algorithm
systems with neural network and statistical techniques for analysis of cloud structures in midlatitude storm
systems. Pattern Recognition Letters, 18(11-13):1347–13, November 1997. †toc ga97aParikh.
[1001] Riccardo Poli and Stefano Cagnoni. Genetic programming with user-driven selection: Experiments on the
evolution of algorithms for image enhancement. In Koza et al. [2416], page ? †conf.prog ga97aPoli.
[1002] Qi Zhang. Speeding GA-based attribute selection for image interpretation. In Proceedings of the 10th
International Symposium on Foundations of Intelligent Systems, pages 237–246, Charlotte, NC (USA),
15.-18. October 1997. Springer-Verlag, Berlin (Germany). †CCA18439/98 ga97aQiZhang.
136
[1003] G. R. Raidl and I. Tastl. Finding a perceptual uniform color space with evolution strategies. In Proceedings
13.-16 April 1997. IEEE, New York, NY. †CCA51301/97 ga97aRaidl.
[1004] Ursula Rost and Peter Oechtering. Knowledge-based genetic learning. In Gösta Grahne, editor, Proceedings
of the Sixth Scandinavian Conference on Artificial Intelligence, pages 107–118, Helsinki (Finland), 18.20. August 1997. IOS Press. (available via anonymous ftp site ftp.uwasa.fi directory cs/3NWGA file
Rost.ps.Z) ga97aRost.
[1005] Se Hyun Park, Jong Kook Lee, and Hang Joon Kim. Evolutionary segmentation of road traffic scenes. In
Proceedings of 1997 IEEE International Conference on Evolutionary Computation, pages 397–400, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA52419/97 ga97aSHPark.
[1006] Paul Scheunders. A genetic c-means clustering algorithm applied to color image quantization. Pattern
Recognition, 30(6):859–866, June 1997. ga97aScheunders.
[1007] Seong Wook Ha and Dae-Seong Kan. Image segmentation using adaptive clustering algorithm and genetic algorithm. J. Korea Inst. Telem. Electron. S (South Korea), 34-S(8):92–103, 1997. †CCA4435/98
ga97aSeongWHa.
[1008] Shan Suthaharan and Zhongwei Zhang. SNR optimization using genetic algorithms. In Proceedings of
the International Conference on Image Processing, volume I, pages 295–297, Santa Barbara, CA, 26.29. October 1997. IEEE Computer Society Press, Los Alamitos, CA. ga97aShanSuthaharan.
[1009] T. Kanno, H. Kumano, Y. Teramati, and H. Nagahashi. Designing neural networks for recognition of
male and female faces using genetic algorithms. Transactions of the Institute of Electronics, Information,
and Communication Engineers D-II (Japan), J80D-II(8):2251–2253, 1997. (In Japanese) †CCA93417/97
ga97aTKanno.
[1010] Tu Van Le. Fuzzy evolutionary clustering of colour images. In Proceedings of the 1997 IEEE International
Conference on Intelligent Processing Systems, volume 1, pages 128–131, Beijing (China), 28.-31. October
1997. IEEE, New York, NY. †CCA53484/98 ga97aTVanLe.
[1011] H. Tanahashi, N. Murakami, and Kenji Yamamoto. Recovery of superquadric primitives from a range
image using GA. In ?, editor, Rapid Product Development Technologies, volume SPIE-2910, pages 28–33,
Boston, MA, 18.-19. November 1997. SPIE - Int. Soc. Opt. Eng. †EEA76091/97 ga97aTanahash.
[1012] Tetsuji Kodama, Kenichi Tajima, Yoshinori Kubota, and Yoshiki Uchikawa. Genetic algorithms as applied
to reconstruction of surface morphology from a SEM image. Journal of Electron Microscopy, 46(3):215–220,
1997. ga97aTetsujiKodama.
[1013] Tien-Ren Tsao. Using Lie group method image motion and stereo analysis algorithms for obstacle perception. volume SPIE-3087, pages 66–73. Proc. SPIE - Int. Soc. Opt. Eng. (USA), 1997. †CCA90108/97
ga97aTienTsao.
[1014] Bradley C. Wallet, David J. Marchette, and Jeffrey L. Solka. Using genetic algorithms to search for
optimal projections. In F. A. Sadjadi, editor, Proceedings of the, volume SPIE-, pages 361–367, Orlando,
FL, 22.-24. April 1997. SPIE - Int. Soc. Optical Engineering, Bellingham. †P76157 ga97aWallet.
[1015] Wei Wu, François Cabestaing, and Jack-Gérard Postaire. Position estimation by image analysis and fuzzy
genetic algorithm. In Alander [2415], pages 223–232. (available via anonymous ftp site ftp.uwasa.fi
directory cs/3NWGA file Wu.ps.Z) ga97aWeiWu.
[1016] Jay F. Winkeler and B. S. Manjunath. Genetic programming for object detection. In Koza et al. [2416],
page ? †conf.prog ga97aWinkeler.
[1017] Yoshiji Fujimoto and Shigeyoshi Tsutsui. A peak shape identification genetic algorithm with a radial basis
function. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation, pages
349–354, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA 44464/97 ga97aYFujimoto.
[1018] Yaodong Wang and N. Funakubo. Simultaneous detection of geometric primitives by genetic algorithm
with subpixel accuracy. Transactions of the Institute of Electronics, Information, and Communication
Engineers D-II (Japan), J80D-II(6):1390–1397, 1997. In Japanese †CCA73908/97 ga97aYaodongWang.
[1019] Ying Yuan Zhang, Stephen H. Levine, and John G. Kreifeldt. Point pattern reconstruction with incomplete
information: Computational methods. In Proceedings of the 1997 IEEE International Conference on
Systems, Man and Cybernetics, volume 3, pages 2539–2544, Orlando, FL, 12.-15. October 1997. IEEE,
Piscataway, NJ. †EI M021929/98 ga97aYingYuanZhang.
Bibliography
137
[1020] Yuichi Abe and Masafumi Hagiwara. Hierarchical object recognition from a 2D image using a genetic
algorithm. In Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics,
volume 3, pages 2549–2554, Orlando, FL, 12.-15. October 1997. IEEE, Piscataway, NJ. †EI M024796/98
ga97aYuichAbe.
[1021] Zensho Nakao, M. Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by image partition. In Proceedings of the Fifteenth IASTED International Conference, pages 209–212, Innsbruck, Austria,
18.-20. February 1997. IASTED, Anaheim, CA (USA). †CCA87926/98 ga97aZNakao.
[1022] Zhe Wang and Ying-Lin Yu. A relaxation evolutionary image restoration method. In Proceedings of
the 1997 IEEE International Conference on Systems, Man, and Cybernetics, volume 2, pages 1100–1104,
Orlando, FL, 12.-15. October 1997. IEEE, New York, NY. †CCA865/98 ga97aZheWang.
[1023] Suchendra M. Bhandarkar and Xia Zeng. Evolutionary computation for figure-ground separation. In
Houston, TX, 9.-12. June 1997. IEEE, New York, NY. ga97bBhandarkar.
[1024] Donald P. Lyons and Ken D. Kihm. Tomographic identification of bubbles in two-phase flows using a
genetic algorithm. In Proceedings of the 1997 ASME International Mechanical Engineering Congress and
Exposition, pages 327–332, Dallas, TX (USA), 16.-21. November 1997. ASME, New York, NY. †A98-23639
ga97bDonLyons.
[1025] E. L. Dixon, C. Markhauser, and Rao K. R. Pantsios. New object motion estimation technique for video
images based on a genetic algorithm. In Proceedings of the 16th International Conference on Consumer
Electronics, volume ?, pages 136–137, Rosemont, IL (USA), 11.-13. June 1997. IEEE, Piscataway, NJ. †EI
M021515/98 ga97bELDixon.
[1026] H. Blume and O. Franzen. Optimisation of video signal processing algorithms through evolutionary strategies. ITG-Fachber. (Germany), 144:215–220, 1997. (In German) †CCA38075/98 ga97bHBlume.
[1027] Motohide Yoshimura and Syunichiro Oe. Texture image segmentation by using genetic algorithms considering optimum number of segmentation areas. In Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, volume ?, pages 471–476, ?, ? 1997. IEEE, Piscataway, NJ.
ga97bMotohideYoshimura.
[1028] P. W. M. Tsang. A novel genetic algorithm for recognition of object shapes with movable parts. In
Proceedings Second International Conference on Genetic Algorithms in Engineering Systems: Innovations
and Applications, pages 478–485, Glasgow, UK, 2.-4. September 1997. IEE, London, UK. †CCA1014/98
ga97bPWMTsang.
[1029] R. Ohyama and K. Kaneko. Experimental study on space and time correspondences of traveling particles
for three-dimensional particle image velocimetry by genetic algorithms. volume SPIE-3172, pages 688–699.
Proc. SPIE - Int. Soc. Opt. Eng. (USA), 1997. †PA85287/98 ga97bROhyama.
[1030] Zensho Nakao, M. Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction. In Proceedings
of the 1997 First International Conference on Knowledge-Based Intelligent Electronic Systems, volume 2,
pages 451–454, Adelaide, SA (Australia), 21.-23. May 1997. IEEE, New York, NY. †CCA89949/97
ga97bZNakao.
[1031] Zensho Nakao, Midori Takashibu, Fath El Alem Fadlallah Ali, and Yen-Wei Chen. Evolutionary CT
image reconstruction. In Proceedings of the 1997 IEEE International Conference on Neural Networks,
volume 3, pages 1608–1611, Houston, TX, 9.-12. June 1997. IEEE, New York, NY. †CCA83561/97
ga97bZenshoNakao.
[1032] E. L. Dixon, C. Markhauser, and Pantsios K. R. Rao. New object motion estimation technique for video
images, based on a genetic algorithm. IEEE Trans Consum Electron, 43(3):886–895, 1997. †EI M013086/98
ga97cELDixon.
[1033] Peter Nordin. Evolutionary Program Induction of Binary Machine Code and its Applications. PhD thesis,
University of Dortmund, 1997. * GAdigest v11 n38 ga97cNordin.
[1034] Zensho Nakao, Fath El Alem Fadlallah Ali, M. Takashibu, and Yen-Wei Chen. An evolutionary approach
to image reconstruction from projections. volume SPIE-3165, pages 144–152. Proc. SPIE - Int. Soc. Opt.
Eng. (USA), 1997. †CCA13131/98 ga97cZNakao.
[1035] Zensho Nakao, Midori Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by image
partition. In Blumenstein [2433], pages 427–431. ga97dZNakao.
[1036] Masakatsu Aoki, Ken Tsutsuguchi, and Noboru Sonehara. Color generating method using genetic algorithm, 1998. (JP patent no. 10187123. Issued July 14 1998) * fi.espacenet.com ga98MasakatsuAoki.
138
[1037] J. F. Baldwin, T. P. Martin, and J. G. Shanahan. Automatic fuzzy Cartesian granule feature discovery using
genetic programming in image understanding. In Proceedings of the 1998 IEEE International Conference
on Fuzzy Systems, volume 2, pages 1631–1636, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York,
NY. †CCA84673/98 ga98aBaldwin.
[1038] Chun-Hung Lin and Ja-Ling Wu. A lightweight genetic block-matching algorithm for video coding. IEEE
Transactions on Circuits and Systems for Video Technology, 8(4):386–392, August 1998. ga98aC-HLin.
[1039] Chengjun Liu and Harry Wechsler. Evolution of optimal projection axes (OPA) for face recognition.
In Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition,
pages 282–287, Nara (Japan), 14.-16. April 1998. IEEE Computer Society Press, Los Alamitos , CA.
†CCA46682/98 ga98aChengjunLiu.
[1040] Daniel Qiang Zhu and Thomas James Leacock. Method and apparatus for correcting image distortion
removal for a plasma display panel using minimum MPD distance code, 1998. (EP patent no. 0884717.
Issued December 16 1998) * fi.espacenet.com ga98aDanielQZhu.
[1041] P. G. Ducksbury, M. J. Varga, P. J. Kent, S. Foulkes, and D. M. Booth. Genetic algorithms for automatic
algorithms and parameter selection in ATR applications. In Automatic Target Recognition VIII, volume
SPIE-?, pages 141–151, 1998. †P82573 ga98aDucksbury.
[1042] E. Dixon, C. P. Markhauser, and K. R. Rao. A new video object motion estimation strategy using a
multipopulation modified coevolutionary genetic algorithm. In Proceedings of the 1998 Second IEEE International Caracas Conference on Devices, Circuits and Systems, pages 159–165, Isla Margarita, Venezuela,
2.-4. ? 1998. IEEE, New York, NY. †P81478 ga98aEDixon.
[1043] Ei Sakano and Naoki Takegawa. Image processing method and device for the method, 1998. (JP patent
no. 10021385. Issued January 23 1998) * fi.espacenet.com ga98aEiSakano.
[1044] Fath El Alem Fadlallah Ali, Zensho Nakao, and Yen-Wei Chen. An evolutionary approach to CT image reconstruction. In Proceedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems, volume 2, pages 853–856, Fukuoka, Japan, 16.-20. October 1998. World Scientific,
Singapore. †CCA75234/99 ga98aFElAFAli.
[1045] Friedrich Mombers, Martin Gumm, Dogimont Stephanie, Pierangelo Garino, and Daniel Mlynek. IMAGE:
a low cost, low power video processor for high quality motion estimation in MPEG-2 encoding. IEEE
Transactions on Consumer Electronics, 44(3):774–783, August 1998. ga98aFMombers.
[1046] F. Takeda, T. Nishikage, and Y. Matsumoto. Characteristics extraction of paper currency using symmetrical masks optimized by GA and neuro-recognition of multi-national paper currency. In Proceedings of
the 1998 IEEE International Joint Conference on Neural Networks, volume 1, pages 634–639, Anchorage,
AK (USA), 4.-9. May 1998. IEEE, New York, NY. †CCA88049/98 ga98aFTakeda.
[1047] F. Toyama, K. Shoji, and J. Miyamichi. Pose estimation from a line drawing using genetic algorithm.
Transactions of the Institute of Electronics, Information, and Communication Engineers D-II (Japan),
J81D-II(7):1584–1590, 1998. In Japanese †CCA79185/98 ga98aFToyama.
[1048] Markús Gu∂mundsson, Essam A. El-Kwae, and Mansur R. Kabuka. Edge detection in medical images using
a genetic algorithm. IEEE Transactions on Medical Imaging, 17(3):469–474, June 1998. ga98aGudmundsson.
[1049] Heng-Da Cheng and Yen-Hung Chen. Novel fuzzy entropy approach to thresholding and enhancement. In
Kenneth M. Hanson, editor, Medical Imaging 1998: Image Processing, volume SPIE-3338, pages 991–1002,
?, June 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aH-DCheng.
[1050] H. Blume, O. Franzen, M. Schmidt, and H. Schroder. Use of evolutionary strategies for optimization of
algorithms for video signal-processing. VDI Berichte, 1381:221–236, 1998. †P80878 ga98aHBlume.
[1051] Hong Liu and Yulong Mo. 2D wavelet transform with different adaptive wavelet bases for texture defect
inspection based on genetic algorithm. In Kiwei Zhou and Chung-Sheng Li, editors, Electronic Imaging
and Multimedia Systems II, volume SPIE-3561, pages 207–213, ?, August 1998. The International Society
for Optical Engineering. * www/SPIE Web ga98aHLiu.
[1052] H. Nugroho, S. Takahashi, Y. Ooi, and S. Ozawa. Locating and extracting human face in a cluttered scene
by using genetic search. Trans. Inst. Electr. Eng. Jpn. C (Japan), 118-C(5):727–736, 1998. In English
†CCA58407/98 ga98aHNugroho.
[1053] H. S. Ko, D. P. Lyons, and K. D. Kihm. Tomographic reconstruction of interferometric projections algebraic reconstruction (art) versus genetic algorithm (GA). In J. S. Lee, editor, 11th International Heat
Transfer Conference, volume 4, pages 21–26, Kyongju, South Korea, 23.-28.August 1998. Taylor & Francis
Ltd., London. †P90170 ga98aHSKo.
Bibliography
139
[1054] Haleh Vafaie and Kenneth A. DeJong. Feature space transformation using genetic algorithms. IEEE Intell.
Syst. (USA), 13(2):57–65, 1998. †CCA46596/98 ga98aHVafaie.
[1055] Haimin Li and Chengke Wu. Detection of parametric curves based on genetic algorithm. In Ji Zhou, Anil K.
Jain, Tianxu Zhang, Yaoting Zhu, Mingyue Ding, and Jianguo Liu, editors, International Symposium on
Multispectral Image Processing (ISMIP’98), volume SPIE-3545, pages 66–69, ?, September 1998. The
International Society for Optical Engineering. * www/SPIE Web ga98aHaiminLi.
[1056] Hau-San Wong and Ling Guan. Adaptive regularization in image restoration using evolutionary programing. In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation Proceedings,
pages 159–164, Anchorage, AK, 4.-9. May 1998. IEEE, New York, NY. †CCA75389/98 ga98aHau-SanWong.
[1057] Hisao Nishii. Method for extracting outline and device therefor, 1998. (JP patent no. 10283484. Issued
October 23 1998) * fi.espacenet.com ga98aHisaoNishii.
[1058] Hou Gexian, Wu Chengke, and Liu Jing. Moving target segmentation method based on genetic algorithms
of multiple parameters. Acta Electronica Sinica (China), 26(1):11–14, 1998. In Chinese †CCA37942/98
ga98aHouGexian.
[1059] Jo Ann Parikh, John S. Daponte, Joseph N. Vitale, and George Tselioudis. Application of evolutionary
techniques to temporal classification of cloud systems using satellite imagery. In Steven K. Rogers, David B.
Fogel, James C. Bezdek, and Bruno Bosacchi, editors, Applications and Science of Computational Intelligence, volume SPIE-3390, pages 69–78, ?, March 1998. The International Society for Optical Engineering.
* www/SPIE Web ga98aJAParikh.
[1060] Jason M. Daida, C. J. Richey, C. R. Clauer, J. B. Baker, J. A. Cummock, and M. J. Brittnacher. Automating the analysis of POLAR UVI images a hybrid genetic algorithm. In Proceedings of the 1998 IEEE
International Conference on Evolutionary Computation, pages 201–206, Anchorage, AK, 4.-9. May 1998.
IEEE, New York, NY. †CCA83212/98 ga98aJMDaida.
[1061] Jean-Michel Rouet, Jean-José Jacq, and Christian Roux. 3D elastic multimodality image registration
through a genetic algorithm. In Proceedings of the 20th Annual International Conference of the IEEE
Engineering in Medicine and Medicine and Biology Society, volume 20, pages 663–666, Hong Kong, 29.
oct- 1. nov ? 1998. IEEE, New York, NY. ga98aJMRouet.
[1062] J. R. Beveridge. Optimal 2D model-matching using a messy genetic algorithm. In Proceedings of the
Fifteenth National Conference on Artificial Intelligence and Tenth Conference on Innovative Applications
of Artifical Intelligence, pages 677–683, Madison, WI, 26.-30. July 1998. Amer. Assoc. Artificial Intelligence,
Menlo Park. †P82188 ga98aJRBeveridge.
[1063] J. Sheng and H. Meng. A genetic algorithm particle pairing technique for 3D velocity field extraction in
holographic particle image velocimetry. Experiments in Fluids, 25(5/6):461–473, ? 1998. * www /Springer
ga98aJSheng.
[1064] Jiann-Der Lee. GA-based three-view matching algorithm for multi-polyhedron reconstruction. Electronics
Letters, 34(2):165–166, 1998. ga98aJiann-DerLee.
[1065] Jiming Liu and Y. Y. Tang. Evolutionary image processing. In Proceedings of the 1998 IEEE International
Conference on Evolutionary Compytation, pages 283–288, Anchorage, AK (USA), 4.-9. May 1998. IEEE,
New York, NY. †CCA79156/98 ga98aJimingLiu.
[1066] Jin Weiqi and H. Katsulai. Restoration of gray scale images using genetic algorithm with consideration
of pixel correlation. In Proceedings of the Electronic Imaging and Multimedia Systems, volume SPIE, pages 413–422, Beijing (China), 18.-19. 1998. SPIE – International Society for Optical Engineering.
†CCA56165/99 ga98aJinWeiqi.
[1067] Joo-Young Lee and Sung-Bae Cho. Interactive genetic algorithm with wavelet coefficients for emotional
image retrieval. In Proceedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems, volume 2, pages 829–832, Fukuoka, Japan, 16.-20. October 1998. World Scientific,
Singapore. †CCA74150/99 ga98aJoo-YLee.
[1068] K. Matsui and Y. Kosugi. The effect of regularization with macroscopic fitness in a genetic approach
to elastic image mapping. IEICE Trans. Inf. Syst. (Japan), E81-D(5):472–478, 1998. †CCA51317/98
ga98aKMatsui.
[1069] K. Otoba, K. Tanaka, and M. Hitafuji. Image processing and interactive selection with Java based on genetic algorithms. In Proceedings of the 3rd IFAC/CIGR Workshop on Artificial Intelligence in Agriculture,
pages 83–88, Ibaraki, Japan, 24.-26. April 1998. Elsevier Science Ltd, Kidlington (UK). †CCA60181/99
ga98aKOtoba.
140
[1070] S. Kirihara, M. Mori, and H. Saito. Shape modeling from multiple view images using GAs. Transactions of
the Institute of Electronics, Information, and Communication Engineers D-II (Japan), J81D-II(7):1545–
1555, 1998. In Japanese †CCA79181/98 ga98aKirihara.
[1071] Kwanghoon Sohn and Winser E. Alexander. A-mean field annealing approach to robust corner detection. IEEE Transactions on Systems, Man, and Cybernetics, 28(1):82–89, 1998.
†A98-18042
ga98aKwanhoonSohn.
[1072] Li Chen, F. T. Berkey, D. Cooley, Yexian He, Jianping Zhang, and Lan Zhang. Intelligent curve tracking
algorithms and implementations. volume SPIE-3371, pages 74–82. Proc. SPIE - Int. Soc. Opt. Eng. (USA),
1998. †PA80780/99 ga98aLiChen.
[1073] Long Fuhui, Zheng Nanning, and Zhang Xiaohui. A new image segmentation method based on genetic
algorithm of multilayer perception. Control Theory Appl. (China), 15(2):232–236, 1998. In Chinese
†CCA66495/98 ga98aLonFuhui.
[1074] M. F. So and A. Wu. Four-step genetic search for block motion estimation. In Proceedings of the 1998
IEEE International Conference on Acoustics, Speech and Signal Processing, volume 3, pages 1393–1396,
Seattle, WA (USA), 12.-15. May 1998. IEEE, New York, NY. †CCA84853/98 ga98aMFSo.
[1075] M. M. Mollah and T. Yahagi. Estimation of 2-D noncausal AR parameters for image restoration using
genetic algorithm. IEICE Transactions on Fundamentals of Electronics, Communications and Computer
Science, E81-A(8):1676–1682, 1998. †CCA85153/98 ga98aMMMollah.
[1076] M. Salami, H. Sakanashi, M. Tanaka, Masaya Iwata, Takio Kurita, and Tetsuya Higuchi. On-line compression of high precision printer images by evolvable hardware. In Proceedings of the DCC‘98 Data
Compression Conference, pages 219–228, Snowbird, UT (USA), 30. mar-1. apr ? 1998. IEEE Computer
Society Press, Los Alamitos , CA. †CCA79024/98 ga98aMSalami.
[1077] Ming-Suen Shyu and Jin-Jang Leou. A genetic algorithm approach to color image enchancement. Pattern
Recognition, 31(7):871–880, July 1998. ga98aMing-SuenShyu.
[1078] Motohide Yoshimura and Syunichiro Oe. Evolutionary segmentation and multiresolution analysis of
texture image using genetic algorithms and two-dimensional wavelet decomposition. In Proceedings of
the 5th International Conference on Soft Computing and Information/Intelligent Systems, volume 2,
pages 987–991, Fukuoka, Japan, 16.-20. October 1998. World Scientific, Singapore.
†CCA68768/99
ga98aMotohideYoshimura.
[1079] Gustavo Olague and Roger Mohr. Optimal camera placement for accurate reconstruction. Research Report
3338, INRIA, 1998. ga98aOlague.
[1080] Philippe Andrey and Philippe Tarroux. Unsupervised segmentation of Markov random field modeled
textured images using selectionist relaxation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3):252–262, March 1998. ga98aPAndrey.
analysis. Mater. Sci. Forum, pages 139–143, 1998. †ChA128:315444p ga98aPSalek.
[1082] Ping Chan Heang, Berkman Sahiner, Leung Lam Kwok, Nicholas Petrick, Mark A. Helvie, Michell M.
Goodsitt, and Dorit D. Adler. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Medical Physics, 25(10):2007–2019, October 1998. * INSPEC 6059109
ga98aPingChanHeang.
[1083] Rita Cucchiara. Genetic algorithms for clustering in machine vision. Machine Vision and Applications,
11(1):1–6, ? 1998. * www /Springer ga98aRCucchiara.
[1084] R. Pinto-Elias and J. H. Sossa-Azuela. Automatic facial feature detection and location. In Proceedings
of the 14th International Conference on Pattern Recognition, volume 2, pages 1360–1364, Brisbane, QLD
(Australia), 16.-20. August 1998. IEEE, Piscataway, NJ. * www /IEEE ga98aRPinto-Elias.
[1085] Samarjit Chakraborty and Kalyanmoy Deb. Analytic curve detection from a noisy binary edge map
using genetic algorithm. In Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, and Hans-Paul Schwefel,
editors, Parallel Problem Solving from Nature - PPSN V, 5th International Conference, volume LNCS of
1498, pages 129–138, Amsterdam (The Netherlands), September 1998. Springer-Verlag Berlin Heidelberg.
* www /Springer ga98aSChakraborty.
[1086] Suman K. Mitra, C. A. Murthy, and Malay K. Kundu. A study on partitioned iterative function systems
for image compression. Fundamenta Informaticae, 34(?):413–428, ? 1998. ga98aSKMitra.
[1087] S. Kato and S. i. Iisaku. An image retrieval method based on a genetic algorithm. In Proceedings of the
Twelfth International Conference on Information Networking (ICOIN-12), pages 333–336, Tokyo (Japan),
21.-23. January 1998. IEEE Computer Society Press, Los Alamitos, CA. * CCA 31197/98 ga98aSKato.
Bibliography
141
[1088] Satoshi Kirihara and Hideo Saito. Shape modeling from multiple view images using GAs. In ?, editor,
Proceedings of ACCV’98, number 1352 in Lecture Notes in Computer Science, pages 448–454, ?, January
1998. Springer-Verlag, Berlin. ga98aSKirihara.
[1089] Suchendra M. Bhandarkar, J. Zeppen, and Walter D. Potter. A genetic algorithm for linear feature
extraction. In Proceedings of the 11th International Conference on Industrial and Engineering Applications
of Artificial Intelligence and Expert Systems, volume 1, pages 647–656, Benicassim, Spain, 1.-4. June 1998.
Springer-Verlag, Berlin (Germany). †CCA79297/98 ga98aSMBhandarkar.
[1090] Seong Wook Ha, Dae-Seong Kang, and Dai-Jin Kim. Image segmentation using fuzzy worm searching and
adaptive MIN-MAX clustering based on genetic algorithm. J. Inst. Electron. Eng. Korea S (South Korea),
35-S(12):109–125, 1998. †CCA56264/99 ga98aSeongWookHa.
[1091] Seung-Ho Park, Ki-Min Kang, and Choon-Woo Kim. Estimation of error diffusion kernel using genetic algorithm. In Giordano B. Beretta and Reiner Eschbach, editors, Color Imaging: Device-Independent Color,
Color Hardcopy, and Graphics Arts III, volume SPIE-3300, pages 330–340, San Jose, CA, 24. -30. January
1998. The International Society for Optical Engineering, Bellingham, WA. * SPIE ga98aSeung-HoPark.
[1092] Shen-Chuan Tai, Wen-Jan Chen, and Po-Jen Cheng. Genetic algorithm for single bitmap absolute moment block truncation coding of color images. Optical Engineering, 37(9):2483–2490, September 1998.
ga98aShen-ChuanTai.
[1093] Sigeru Omatu, Fumiaki Takeda, Saizo Onami, and Takahashi Kadono.
Pattern recognition
apparatus and method of optimizing mask for pattern recognition according to genetic algorithm, 1998.
(U. S. patent no. 5,729,623. Issued March 17 1998; available via www URL:
http://appft1.uspto.gov/netahtml/PTO/search-adv.html) ga98aSigeruOmatu.
[1094] A. Stolpmann and L. S. Dooley. Genetic algorithms for automatic feature selection in a texture classification
system. In Proceedings of the 1998 Fourth International Conference on Signal Processing, volume 2, pages
1229–1232, Beijing (China), 12.-16. October 1998. IEEE, Piscataway, NJ. †CCA81853/99 ga98aStolpman.
[1095] T. Kawaguchi and M. Kawano. Circle extraction using a genetic algorithm. Transactions of the Institute
of Electronics, Information, and Communication Engineers D-II (Japan), J81D-II(6):1233–1241, 1998. In
Japanese †CCA66265/98 ga98aTKawaguchi.
[1096] Timothy P. Donovan and Nelson L. Passos. GALE: a combined genetic algorithm-linear technique approach
to edge detection. In Stephen Park and Richard D. Juday, editors, Visual Information Processing VII,
volume SPIE-3387, pages 156–164, ?, July 1998. The International Society for Optical Engineering. *
www/SPIE Web ga98aTPDonovan.
[1097] T. P. Timothy and N. L. Passos. Edge-detection through the use of a combined genetic algorithm-linear
technique approach. In Proceedings of the 1998 Midwest Symposium on Circuits and Systems, pages 310–
313, Notre Dame, IN (USA), 9.-12. August 1998. IEEE Computer Society Press, Los Alamitos , CA.
†P84301 ga98aTPTimothy.
[1098] Volker Metzler, Ralf Vandenhouten, Joerg Krone, and Reinhard Grebe. Unsupervised image segmentation
by stochastic reconstruction. In Kenneth M. Hanson, editor, Medical Imaging 1998: Image Processing,
volume SPIE-3338, pages 575–586, ?, June 1998. The International Society for Optical Engineering. *
www/SPIE Web ga98aVMetzler.
[1099] Vitorino Ramos. Evolution and cognition in image analysis. Master’s thesis, Instituto Superior Tecnico,
1998. †comp.ai.genetic ga98aVRamos.
[1100] Weiqi Jin and Hiroshi Katsulai. Restoration of gray-scale images using genetic algorithm with consideration
of pixel correlation. In Liwei Zhou and Chung-Sheng Li, editors, Electronic Imaging and Multimedia
Systems II, volume SPIE-3561, pages 413–422, ?, August 1998. The International Society for Optical
Engineering. * www/SPIE Web ga98aWJin.
[1101] Xiao Chen, Guangxi Zhu, and Yaoting Zhu. Fractal image coding method based on genetic algorithms.
In Ji Zhou, Anil K. Jain, Tianxu Zhang, Yaoting Zhu, Mingyue Ding, and Jianguo Liu, editors, International Symposium on Multispectral Image Processing (ISMIP’98), volume SPIE-3545, pages 465–468, ?,
September 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aXChen.
[1102] X. Li, Y. Anma, Tetsuji Kodama, and Yoshiki Uchikawa. A surface-morphology reconstruction method
from an SEM image with genetic algorithms. 1:157–158, 1998. †P82589 ga98aXLi.
[1103] Yuji Aoyagi and Toshiyuki Asakura. Position and posture recognition of 3 dimension objects by 2 dimension
image using genetic algorithms. Mem. Fac. Eng. Fukui Univ. (Japan), 46(1):107–118, 1998. In Japanese
†CCA61696/98 ga98aYAoyagi.
142
[1104] Y. Xu, Y. W. Liu, H. X. Chen, and Y. S. Dai. Tree-structured vector quantization design using adaptive
genetic algorithms. In Electronic and Multimedia Systems II, pages 376–382, 1998. †P82645 ga98aYXu.
[1105] F. Takeda. Neural network recognition system tuned by GA and application of foreign paper currencies.
Transactions of the Institute of Electrical Engineers of Japan C, 118-C(5):773–780, 1998. In Japanese
†CCA61731/98 ga98bFTakeda.
analysis. Mater. Sci. Forum (Switzerland), 273-275:139–144, 1998. †PA3016/99 ga98bPSalek.
[1107] Yuntao Cui and Qian Huang. Extracting characters of license plates from video sequences. Machine Vision
and Applications, 10(5/6):3008–320, ? 1998. * www /Springer ga98bYCui.
[1108] Hou Gexian and Wu Chengke. An adaptive object segmentation method based on genetic algorithms
and minimum error. J. Xidian Univ. (China), 25(2):227–230, 1998. In Chinese †CCA75103/98
ga98cHouGexian.
[1109] Jarmo T. Alander, Timo Mantere, and Tero Pyylampi. Threshold matrix generation for digital halftoning
by genetic algorithm optimization. Research Report 98-1, University of Vaasa, Department of Information
Technology and Production Economics, 1998. (partly in SPIE-3522; available via anonymous ftp site
ftp.uwasa.fi directory cs/report98-1 file Halftoning.ps.Z) ga98hAlander.
[1110] A. F. R. Rahman and M. C. Fairhurst. Automatic self-configuration of a novel multiple-expert classifier
using a genetic algorithm. In Proceedings of the Seventh International Conference on Image Processing
and Its Applications, volume 1, pages 57–61, Manchester, UK, 13.-15. July 1999. IEE, London (UK).
†CCA77653/99 ga99aAFRahman.
[1111] Dan Ashlock and Jennifer L. Davidson. Texture synthesis with tandem genetic algorithms using nonparametric partially ordered Markov models. In Proceedings of the 1999 Congress on Evolutionary
Computation-CEC99, volume 2, pages 1157–1163, Washington, DC, 6.-9. July 1999. IEEE, Piscataway,
NJ. †CCA81461/99 ga99aAshlock.
[1112] B. Aiazzi, S. Baronti, and L. Alparone. Lossless image compression based on a fuzzy-clustered prediction.
In Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, volume 4, pages 9–12,
Orlando, FL, 30. may- 2. jun ? 1999. IEEE, New York, NY. †P85440 ga99aBAiazzi.
[1113] B. C. K. Tso and P. M. Mather. Classification of multisource remote sensing imagery using a genetic
algorithm and Markov random fields. IEEE Transactions on Geoscience and Remote Sensing, 37(3):1255–
1260, 1999. †CCA60071/99 ga99aBCKTso.
[1114] Binh Pham and Zhongwei Zhang. Correction of reflection lines using genetic algorithms. In B. McKay,
X. Yao, C. S. Newton, J.-H. Kim, and T. Furuhashi, editors, Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL’98, volume LNAI of 1585,
pages 26–33, Canberra (Australia), November 1999. Springer-Verlag Berlin Heidelberg. * www /Springer
ga99aBPham.
[1115] C. A. Perez and C. Salinas. Genetic selection of biologically inspired receptive for computational vision.
In Proceedings of the First Joint BMES/EMBS Conference, volume 2, page 924, Atlanta, GA, USA, 13.16.October 1999. IEEE, Piscataway, NJ. * www/IEEE ga99aCAPerez.
[1116] Prachya Chalermwat, Tarek El-Ghazawi, and J. LeMoigne. GA-based parallel image registration on parallel
clusters. In Proceedings of the 11th IPPS/SPDP’99 Workshops Held in Conjunction with the 13th International Parallel Procesing Symposium and 10th Symposium on Parallel and Distributed Processing, pages
257–265, San Juan, Puerto Rico, 12.-16. April 1999. Springer-Verlag, Berlin (Germany). †CCA90281/99
ga99aChalermwat.
[1117] Cheng Yimin, Wang Yixiao, Sun Qibin, and Sun Longxiang. Digital image compression using a genetic algorithm. Real-Time Imaging, 5(6):379–383, December 1999. (available via www URL: www.idealibrary.com)
ga99aChengYimin.
[1118] David Yuk-Ming Chan and Irwin King. Genetic algorithm for weights assignment in dissimilarity function
for trademark retrieval. In Dionysius P. Huijsmans and Arnold W. M. Smeulders, editors, Visual Information and Information Systems, Third International Conference, VISUAL’99, volume LNCS of 1614, pages
557–565, Amsterdam (The Netherlands), June 1999. Springer-Verlag Berlin Heidelberg. ga99aDY-MChan.
[1119] A. Daktariunas, P. Jurkus, and L. Yuodis. Encoding of images using a genetic algorithm. J. Opt. Technol.
(USA), 66(9):92–97, 1999. †CCA86708/99 ga99aDaktariu.
[1120] Din-Chang Tseng and Chih-Ching Lai. A genetic algorithm for MRF-based segmentation of multi-spectral
textured images. Pattern Recognition Letters, 20(14):1499–1510, December 1999. * www /ScienceDirect
ga99aDin-ChangTseng.
Bibliography
143
[1121] Fabrizio Russo. Evolutionary neural fuzzy systems for noise cancellation in image data. IEEE Transactions
on Instrumentation and Measurement, 48(5):915–920, October 1999. ga99aFRusso.
[1122] F. Saitoh. A method to reduce gradations in gray images using genetic algorithm. Transactions of the
Institute of Electronics, Information, and Communication Engineers D-II (Japan), J82D-II(7):1140–1149,
1999. In Japanese †CCA81629/99 ga99aFSaitoh.
[1123] J. Y. Goulermas and P. Liatsis. Feature-based stereo matching via coevolution of epipolar sub-problems. In
Proceedings of the Seventh International Conference on Image Processing and its Applications, volume 1,
pages 23–27, Manchester, UK, 13.-15 July 1999. IEE, London (UK). †CCA77874/99 ga99aGoulermas.
[1124] Han-Chiang Shyu and Jin-Jang Leou. Detection and concealment of transmission errors in MPEG-2
images - A genetic algorithm approach. IEEE Transactions on Circuit and Systems for Video Technology,
9(6):937–948, September 1999. ga99aH-CShyu.
[1125] H. Zhu and Y. G. Zhao. Fast image correlative matching based on genetic algorithm. Journal of Infrared
and Millimeter Waves, 18(2):145–150, April 1999. * ISI ga99aHZhu.
[1126] Hiroshige Kamine. Face area detector, 1999. (JP patent no. 22383001. Issued October 15 1999)
fi.espacenet.com ga99aHiroshigeKamine.
*
[1127] G. Hollingworth, A. Tyrrell, and S. Smith. Simulation of evolvable hardware to solve low level image
processing tasks. In Proceedings of the First European Workshop on Evolutionary Image Analysis, Signal
Processing and Telecommunicatons, pages 46–58, Goteburg, Sweden, 26.-27. May 1999. Springer-Verlag,
Berlin (Germany). †CCA81370/99 ga99aHollingw.
[1128] J. L. Wu and C. H. Lin. Automatic facial feature-extraction by genetic algorithms. In Proceedings of
the Visual Communications and Image Processing’99, volume SPIE-, pages 925–936, San Jose, CA, 25.27. January 1999. SPIE – International Society for Optical Engineering, Bellingham. †P83995 ga99aJLWu.
[1129] Jon Opsal and John J. Sidorowich. Method and apparatus for optical data analysis, 1999. (U. S. patent
no. 5,953,446. Issued September 14 1999) ga99aJOpsal.
[1130] J. Y. Goulermas and P. Liatsis. Feature-based stereo matching via coevolution of epipolar subproblems. In Seventh International Conference on (Conf. Publ. No.465) Image Processing and Its Applications, volume 1, pages 23–27, Manchester, UK, 13.-15.July 1999. IEEE, Piscataway, NJ. * www/IEEE
ga99aJYGoulermas.
[1131] Joo-Young Lee and Sung-Bae Cho. Application of interactive genetic algorithm to image retrieval based
on emotion. J. KISS(B), Softw. Appl. (South Korea), 26(3):422–430, 1999. In Korean †CCA65595/99
ga99aJoo-YLee.
[1132] Keith Wiley. Practical handbook of genetic algorithms. In Chambers [2458], chapter 4. Pattern evolver,
An evolutionary algorithm that solves the nonintuitive problem of black and white pixel distribution to
produce tiled patterns that appear gray, pages 85–102. ga99aKWiley.
[1133] Timo Kaukoranta. Iterative and Hierarchical Methods for Codebook Generation in Vector Quantization.
PhD thesis, University of Turku, Department of Computer Science, 1999. ga99aKaukoranta.
[1134] L. Hang, J. L. Chou, Z. C. Wei, L. Tao, and Z. M. Liu. A study based on image-enhancement algorithmbased on adaptive genetic algorithm. In H. P. Chen and J. H. Gu, editors, Proceedings of the 6th International Conference on Computer Aided Design & Computer Graphics, volume ?, pages 1277–1281, Shanghai,
China, 1.-3.December 1999. Wen Hui Publishers, Shanghai. †P89847 ga99aLHang.
[1135] Mark A. Shackleton and William J. Welsh. Method of forming a template of an image of an object
for use in the recognition of the object, 1999. (U. S. patent no. 5,978,507. Issued November 2 1999)
ga99aMAShackleton.
[1136] M. Ebner and A. Zell. Evolving a task specific image operator. In Proceedings of the First European Workshops, pages 74–89, Goteburg, Sweden, 26.-27. May 1999. Springer-Verlag, Berlin (Germany).
†CCA81900/99 ga99aMEbner.
[1137] M. Haseyama, M. Kumagai, and H. Kitajima. A genetic algorithm-based image segmentation for imageanalysis. In Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 3445–3448, Phoenix, AZ, 15.-19. March 1999. IEEE, New York, NY. †P84345
ga99aMHaseyama.
[1138] Mamoru Minami, Julien Agbanhan, and Toshiyuki Asakura. Manipulator visual servoing and tracking of fish using a genetic algorithm. Industrial Robot: An International Journal, 26(4):278–289, 1999.
ga99aMamoruMinami.
144
[1139] George K. Matsopoulos, Nicolaos A. Mouravliansky, Konstantinos K. Delibasis, and Konstantina S. Nikita.
Automatic retinal image registration scheme using global optimization techniques. IEEE Transactions on
Information Technology in Biomedicine, 3(1):47–60, March 1999. ga99aMatsopoulos.
[1140] Motohide Yoshimura and Shunichiro Oe. Evolutionary segmentation of texture image using genetic algorithms towards automatic decision of optimum number of segmentation areas. Pattern Recognition,
32(12):2041–2054, December 1999. ga99aMotohideYoshimura.
[1141] Zheng Nanning and Zhang Yuanliang. Fractal block image coding method with genetic algorithm-based
search strategy. Chin. J. Electron. (China), 8(2):121–126, 1999. †CCA72238/99 ga99aNanning.
[1142] Philippe Gentric. Method for analyzing cursive writing, 1999. (U. S. patent no. 5,940,533. Issued August
17 1999) ga99aPGentric.
[1143] Pierre Lutton, Evelyne Lutton, Frédéric Raynal, and Marc Schoenauer. Polar IFS + individual genetic programming = efficient IFS inverse problem solving. Research Report 3849, INRIA, 1999.
ga99aPierreCollet.
[1144] Tero Pyylampi. Rasterointimenetelmän kehittäminen mustesuihkutulostimelle geneettisellä algoritmilla.
Master’s thesis, University of Vaasa, Department of Information Processing and Production Economics,
1999. ga99aPyylampi.
[1145] Robert J. Schalkoff and Khaled M. Shaaban. Image processing meta-algorithm development via genetic
algorithm manipulation of exiting algorithm graphs. In Stephen K. Park and Richard D. Juday, editors,
Visual Information Processing VIII, volume SPIE-3716, pages 61–70, ?, July 1999. The International
Society for Optical Engineering. * www/SPIE Web ga99aRJSchalkoff.
[1146] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosentengel, Philip Amburn, Edward M. Ochoa,
Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas P. Rathbun. Method and system for
automated detection of clustered microcalcifications from digital mammograms, 1999. (U. S. patent no.
5,999,639. Issued December 7 1999) * fi.espacenet.com ga99aRPBroussard.
[1147] R. P. Velthuizen, L. O. Hall, and L. P. Clarke. Feature extraction for MRI segmentation. J. Neuroimaging,
9(2):85–90, April 1999. * PubMed10208105 ga99aRPVelthuizen.
[1148] Raquel Viana and Jose A. Malpica. Genetic algorithm for accomplishing feature extraction of hyperspectral
data using texture information. In Sebastiano B. Serpico, editor, Image and Signal Processing for Remote
Sensing V, volume SPIE-3871, pages 367–372, ?, December 1999. The International Society for Optical
Engineering. * www/SPIE Web ga99aRViana.
[1149] S. C. Roberts and D. Howard. Evolution of vehicle detectors for infrared line scan imagery. In Proceedings
of the First European Workshops, pages 110–125, Goteburg, Sweden, 26.-27. May 1999. Springer-Verlag,
Berlin (Germany). †CCA77889/99 ga99aRoberts.
[1150] Salvatore Caorsi, Andrea Massa, and Matteo Pastorino. Nonlinear inverse scattering approach for imagereconstruction by using a genetic algorithm. In P. Dibarba and A. Savini, editors, 9th International
Symposium on Non-linear Electromagnetic Systems - ISEM ’99, volume ?, pages 459–462, Pavia, Italy,
10.-12.May 1999. I O S Press, Amsterdam/ Ohmsha Ltd., Tokyo. †P90148 ga99aSCaorsi.
[1151] ShaoShan Chiang and Chein-I. Chang. Subpixel detection for hyperspectral images using projection pursuit. In Sebastiano B. Serpico, editor, Image and Signal Processing for Remote Sensing V, volume SPIE3871, pages 107–115, ?, December 1999. The International Society for Optical Engineering. * www/SPIE
Web ga99aSChiang.
[1152] Suman K. Mitra, C. A. Murthy, and Malay K. Kundu. Digital image magnification using fractal operators
and genetic algorithm. In Piotr S. Szczepaniak, editor, Computational Intelligence and Applications,
Studies in Fuzziness and Soft Computing, pages 250–259. Physica-Verlag, 1999. ga99aSKMitra.
[1153] Suchendra M. Bhandarkar and Hui Zhang. Image segmentation using evolutionary computation. IEEE
Transactions on Evolutionary Computation, 3(1):1–21, April 1999. ga99aSMBhandarkar.
[1154] Steven P. Brumby, James P. Theiler, Simon J. Perkins, Neal R. Harvey, John J. Szymanski, Jeffrey J.
Bloch, and Melanie Mitchell. Investigation of image feature extraction by a genetic algorithm. In Bruno
Bosacchi, David B. Fogel, and James C. Bezdek, editors, Applications and Science of Neural Networks,
Fuzzy Systems, and Evolutionary Computation II, volume SPIE-3812, pages 24–31, ?, November 1999. The
International Society for Optical Engineering. * www/SPIE Web ga99aSPBrumby.
[1155] S. Yoshimori, A. Terauchi, Y. Takashima, and S. Omato. Genetic relaxed iterative Fourier transform
algorithm for image reconstruction from Fourier transform magnitude. Transactions of the Institute of
Electronics, Information, and Communication Engineers D-II (Japan), J82D-II(8):1290–1298, 1999. In
Japanese †CCA86808/99 ga99aSYoshimori.
Bibliography
145
[1156] Shu-Chien Huang and Yung-Nien Sun. Polygonal approximation using genetic algorithms. Pattern Recognition, 32(8):1409–1420, August 1999. ga99aShu-ChienHuang.
[1157] Tetsuya Higuchi, Takio Kurita, Hidenori Sakanashi, and Masaharu Tanaka. Adaptive evolution type
image compressing and encoding decvice, 1999. (JP patent no. 11243491. Issued September 7 1999) *
fi.espacenet.com ga99aTHiguchi.
[1158] T. Kawaguchi, R. Nagata, and T. Sinozaki. Detection of target models in 2D images by line-based
matching and a genetic algorithm. In Proceedings. 1999 International Conference on Image Processing.
ICIP 99, volume 2, pages 710–714, Kobe Japan, 24.-28.October 1999. IEEE, Piscataway, NJ. * www/IEEE
ga99aTKawaguchi.
[1159] Tomokazu Tamaoki and Noboru Funakubo. GA image restoration using perameters of degrading and
restoring functions as genes. In Nonlinear Image Processing X, volume SPIE-3646, pages 126–133, San
Jose, CA, 25.-26. January 1999. SPIE – International Society for Optical Engineering, Bellingham, WA.
†CCA98078/99 ga99aTomokazuTamaoki.
[1160] Vitorino Ramos and Fernando Muge. Image segmentation by color cube genetic k-mean clustering. In
?, editor, Proceedings of the 3rd Workshop on Genetic Algorithms and Artificial Life (GAAL), volume ?,
page ?, Lisbon (Portugal), 22. April 1999. ? ga99aVitorinoRamos.
[1161] W. Sasaki, H. Uichida, and K. Takahashi. Application of self-organized genetic algorithms to a novel color
recognition system of all-optical neural network. In Proceedings of the Intelligent Systems in Design and
Manufacturing II, volume SPIE-3833, Boston, MA, 21.-22. September 1999. SPIE. † ga99aWSasaki.
[1162] Wen-Jyi Hwang and Sheng-Lin Hong. Genetic entropy-constrained vector quantizer design algorithm.
Optical Engineering, 38(2):233–239, February 1999. ga99aWen-JyiHwang.
[1163] Xue-Guang Shao, Fang Yu, Hongbing Kou, Wen-Sheng Cai, and Zhong-Xiao Pan. A wavelet-based genetic algorithm for compression and de-noising of chromatograms. Anal. Lett., 32(9):1899–1915, 1999.
†ChA96596/99 ga99aXue-Shao.
[1164] Y. Fujiwara and H. Sawai. Evolutionary computation applied to mesh optimization of a 3-D facial image.
IEEE Transactions on Evolutionary Computation, 3(2):113–123, 1999. †CCA63676/99 ga99aYFujiwara.
[1165] Yukoi Kosugi, Matsui Kazuhiro, and Yusuke Suganami. Method and device for processing image, 1999.
(JP patent no. 11213127. Issued August 6 1999) * fi.espacenet.com ga99aYKosugi.
[1166] Z. M. Lu, S. H. Sun, and Z. L. Zhang. Vector quantization based on genetic algorithm. In Procedings of
the 3rd International Symosium on Test and Measurement, pages 285–290, Xian, China, 2.-4. June 1999.
Int. Acedemic Publ (Beijing). †P85049 ga99aZMLu.
[1167] Zhe Wang and David Zhang. Novel evolutionary method for gray-level image restoration. Optical Engineering, 38(4):626–629, April 1999. * www/SPIE Web ga99aZWang.
[1168] C. A. Perez and C. Salinas. Computational vision enhancement through genetic selection of biologically
inspired receptive field geometry. In 1999 International Conference on Information Intelligence and Systems, volume ?, pages 92–97, Bethesda, MD, USA, 31. October- 3. November 1999. IEEE, Piscataway, NJ.
* www/IEEE ga99bCAPerez.
[1169] Daijin Kim and Sunah Ahn. A MS-GS VG codebook design for wireless image communication using
genetic algorithms. IEEE Transactions on Evolutionary Computation, 3(1):35–52, April 1999. ga99bDKim.
[1170] Fath El Alem Fadlallah Ali, Zensho Nakao, and Yen-Wei Chen. An evolutionary approach to CT image
reconstruction. Bull. Fac. Eng. Univ. Ryukyus (Japan), (57):81–84, 1999. In English †CCA58846/99
ga99bFEAFAli.
[1171] Lucia Ballerini. Medical image segmentation using genetic snakes. In Bruno Bosacchi, David B. Fogel, and
James C. Bezdek, editors, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary
Computation II, volume SPIE-3812, pages 13–23, ?, November 1999. The International Society for Optical
Engineering. * www/SPIE Web ga99bLBallerini.
[1172] Motohide Yoshimura and Syunichiro Oe. Evolutionary segmentation of textured image using genetic
algorithms and two-dimensional wavelet transform. Transactions of the Institute of System, Control, and
Information Engineers (Japan), 12(5):263–276, 1999. †www CCA53701/99 ga99bMotohideYoshimura.
[1173] Prachya Chalermwat and Tarek El-Ghazawi. Multi-resolution image registration using genetics. In Proceedings of the 1999 International Conference on Image Processing (ICIP’99), volume 2, pages 452–456,
?, 24.-28. October 1999. IEEE, Piscataway, NJ. ga99bPChalermwat.
[1174] Sameh M. Yamany, Mohamed N. Ahmed, and Aly A. Farag. A new genetic-based technique for matching
3D curves and surfaces. Pattern Recognition, 32(10):1817–1820, October 1999. ga99bSMYamany.
146
[1175] Tetsujiro Kondo, Takeharu Nishikata, Yasushi Noide, Naoki Kobayashi, and Juichi Shiraki. Image converter, image conversion method, learning device, learning method and transmission medium, 1999. (JP
patent no. 11004415. Issued January 6 1999) * fi.espacenet.com ga99bTetsujiroKondo.
[1176] F. Saitoh. Integrated local image binarization using genetic algorithm. Trans. Inst. Electr. Eng. Jpn. C
(Japan), 119-C(8-9):942–947, 1999. In Japanese †CCA86701/99 ga99cFSaitoh.
[1177] M. Haseyama, N. Iwai, and H. Kitajima. A criterion-based image segmentation method with a genetic
algorithm. In Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, volume 4,
pages 94–97, Orlando, FL, 30. may- 2. jun ? 1999. IEEE, New York, NY. †P85440 ga99cHaseyama.
[1178] F. Saitoh. Adaptive contrast enhancement for moving objects using genetic algorithm. Trans. Inst. Electr.
Eng. Jpn. C (Japan), 119-C(7):868–874, 1999. In Japanese †CCA77962/99 ga99dFSaitoh.
[1179] Jarmo T. Alander, Timo Mantere, and Tero Pyylampi. Digital halftoning optimization via genetic algorithms for ink jet device. In B. H. V. Topping, editor, Developments in Computational Mechanics with High
Performance Computing (Proceedings of the Third Euro-Conference on Parallel and Distributed Computing for Computational Mechanics), pages 211–216, Weimar (Germany), 20.-25. March 1999. Civil-Comp
Press, Edinburgh. ga99eAlander.
[1180] Jarmo T. Alander, Timo Mantere, and Tero Pyylampi. Digital halftoning optimization via genetic algorithms for ink jet device. In B. H. V. Topping, editor, Euroconference: Parallel and Distributed Computing
for Computational Mechanics 1999, EURO-CM-PAR, pages 83–84, Weimar (Germany), 20.-25. March
1999. Civil-Comp Press, Edinburgh. (abstract of [1179]) ga99fAlander.
[1181] Riccardo Poli. Genetic programming for image analysis. In Koza et al. [2412], page ?
†conf.prog
ga9baPoli.
[1182] Lloyd G. Allred and Gary E. Kelly. A modified genetic algorithm for extracting thermal profiles from
infrared image data. In Su-Shing Chen, editor, Neural and Stochastic Methods in Image and Signal Processing, volume SPIE-1766, pages 77–81, San Diego, CA, 20. -23. July 1992. The International Society for
Optical Engineering. ga:Allred92a.
[1183] James Edward Baker. Image accuracy and representational enchancement through low-level, multi-sensor
integration techniques. In ?, editor, Proceedings of the Conference on Sensor Fusion and Aerospace Applications, volume SPIE-1956, pages 170–186, ?, April 1993. The International Society for Optical Engineering.
ga:Baker93a.
[1184] James Edward Baker. Image accuracy and representational enchancement through low-level, multi-sensor
integration techniques. Technical Report ORNL/TM-12218, Oak Ridge National Laboratory, Martin Marietta Energy Systems, Inc., 1993. ga:Baker93b.
[1185] Jerzy W. Bala and Harry Wechsler. Shape analysis using morphological processing and genetic algorithms.
In Proceedings of the 1991 IEEE International Conference on Tools with Artificial Intelligence TAI’91,
pages 130–137, San Jose, CA, 10.-13. November 1991. IEEE Computer Society Press, Los Alamitos, CA.
* EI A074027/92 ga:Bala91a.
[1186] Jerzy W. Bala and Harry Wechsler. Robust shape analysis using multistrategy learning. In Proceedings
of the 11th IAPR International Conference on Pattern Recognition, volume II, pages 162–165, The Hague
(Netherlands), 30. August - 3. September 1992. IEEE Computer Society Press, Los Alamitos, CA. * EEA
3953/93 ga:Bala92a.
[1187] Jerzy W. Bala and Harry Wechsler. Shape analysis using genetic algorithms. Pattern Recognition Letters,
14(12):965–973, December 1993. ga:Bala93b.
[1188] S. Nara and Wolfgang Banzhaf. Pattern search using a genetic algorithm. Japanese Journal on Condensed
Matter Research, 56(?):235–238, 1991. †Banzhaf ga:Banzhaf91b.
[1189] Guillermo Montilla, Christian Roux, Victor Barrios, V. Torrealba, Naykiavick Rangel, Vytautas Subacius,
L. Miliani, and C. Vasquez. Model-based, knowledge-based epicardial boundary detector. In Proceedings
of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,
volume 1, pages 205–208, San Diego, CA, 28.-31. October 1993. IEEE. †EI M077812/94 ga:Barrios93a.
[1190] Guillermo Montilla, Victor Barrios, Vytautas Subacius, and Naykiavick Rangel. Model-based epicardial
boundary detection using genetic algorithms. In Proceedings of the 15th Annual International Conference
of the IEEE Engineering in Medicine and Biology Society, volume 1, pages 226–227, San Diego, CA,
28.-31. October 1993. IEEE. †EI M074142/94 ga:Barrios93b.
[1191] Weimin Huang and Zhaoqi Bian. GA approach to invariant matching: under noise and geometric transformations. In Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control
and Power Engineering (TENCON’93), volume 2, pages 1021–1024, Beijing (China), 19.-21. October 1993.
IEEE. ga:Bian93a.
Bibliography
147
[1192] R. E. H. Franich, R. L. Legendijk, and J. Biemond. Stereo-enchanced displacement estimation by genetic
block matching. In B. G. Haskell and H. M. Hang, editors, Visual Communications and Image Processing
’93, volume SPIE-2094, pages 362–371, Cambridge, MA, 8.-11. November 1993. The International Society
for Optical Engineering. * EEA 29952/94 CCA 27544 ga:Biemond93b.
[1193] Griff L. Bilbro, Lester C. Hall, and Lawrence A. Ray. A provably convergent inhomogeneous genetic
annealing algorithm. In Su-Shing Chen, editor, Neural and Stochastic Methods in Image and Signal Processing, volume SPIE-1766, pages 50–60, San Diego, CA, 20. -23. July 1992. The International Society for
Optical Engineering. ga:Bilbro92a.
[1194] W. E. Blanz and E. R. Reinhardt. Image segmentation by pixel classification. Pattern Recognition,
13(4):293–298, ? 1981. †[6] ga:Blanz81a.
[1195] R. Boyd and C. Glass. Interpreting ground-penetrating radar images using object-oriented neural, fuzzy,
and genetic processing. In H. N. Nasr, editor, Ground Sensing, volume SPIE-1941, pages 169–181, Orlando,
FL, 14. April 1993. The International Society for Optical Engineering. †P59354/93 ga:Boyd93a.
[1196] Frank Z. Brill. Genetic algorithms for feature selection. Master’s thesis, University of Virginia, Department
of Computer Science, 1990. †Brill92 ga:BrillMSThesis.
[1197] Rita Cucchiara. Analysis and comparison of different genetic models for the clustering problem in image
analysis. In Albrecht et al. [2420], pages 423–427. ga:Cucchiara93a.
[1198] Jerzy W. Bala and Kenneth A. De Jong. Generation of feature detectors for texture discrimination by
genetic search. In Apostolos Dollas and Nikolaos G. Bourbakis, editors, Proceedings of the 1990 IEEE
International Conference on Tools with Artificial Intelligence TAI’90, pages 812–818, Herndon, VA, 6.9. November 1990. IEEE Computer Society Press, Los Alamitos, CA. ga:DeJong90a.
[1199] Haleh Vafaie and Kenneth A. De Jong. Robust feature selection algorithms. In Proceedings of the Fifth
International Conference on Tools with Artificial Intelligence TAI’93, pages 356–363, Boston, MA, 8.11. November 1993. IEEE Computer Society Press, Los Alamitos, CA. ga:DeJong93e.
[1200] Sven Loncaric and Atam P. Dhawan. Optimal shape-description using morphological signature transform
via genetic algorithm. In E. R. Dougherty, P. D. Gader, and J. C. Serra, editors, Image Algebra and Morphological Image Processing IV, volume SPIE-2030, pages 121–127, San Diego, CA, 12.-13. July 1993. The
International Society for Optical Engineering. * CCA 58386/93 P57677/93 EEA 68630/93 ga:Dhawan93a.
[1201] P. Kini, Charles C. Peck, and Atam P. Dhawan. Genetic algorithm-based reconstruction in-diffusion tomography. In B. Chance, R. R. Alfano, and A. Katzir, editors, Proceedings of Photon Migration and Imaging
in Random Media and Tissue, volume SPIE-1888, pages 407–419, Los Angeles, CA, 17. -17. January 1993.
The International Society for Optical Engineering. †P59563/94 ga:Dhawan93b.
[1202] Venkat R. Mandava, J. Michael Fitzpatrick, and David R. Pickens, III. Adaptive search space scaling
in digital image registration. IEEE Transactions on Medical Imaging, 8(3):251–262, September 1989.
ga:Fitzpatrick89a.
[1203] Minoru Fukumi and Sigeru Omatu. Designing an architecture of a neural network for coin recognition by a
genetic algorithm. Transactions of the Institute of Electrical Engineers of Japan C, 113-D(12):1403–1409,
December 1993. (in Japanese) * CCA 51639/94 ga:Fukumi93b.
[1204] Proceedings of the IEEE Workshop on Genetic Algorithms, Neural Networks and Simulated Annealing
applied to problems in signal and image processing, University of Glasgow (UK), ? 1990. IEEE. †
ga:GANNSA90.
[1205] Andrew McGilvary Gillies. Machine learning procedures for generating image domain feature detectors,
1985. (U. S. patent no. 4,821,333. Issued Apr. 11 1989) †GAdigest v8 n10/Park ga:Gillies89a.
[1206] Andrew McGilvary Gillies. Machine learning procedures for generating image domain feature detectors.
PhD thesis, University of Michigan, 1985. * DAI 46/7 ga:GilliesThesis.
[1207] J. Michael Fitzpatrick, John J. Grefenstette, and Dirk Van Gucht. Image registration by genetic search. In
Proceedings of the IEEE Southeastcon ’84, page ?, ?, April 1984. IEEE. †News /Park ga:Grefenstette84c.
[1208] J. Michael Fitzpatrick, David R. Pickens, III, Venkat R. Mandava, and John J. Grefenstette. The reduction
of motion artefacts in digital subtraction angiography by geometrical image transformation. In ?, editor,
Medical Imaging II, volume SPIE-?, page ?, Newport Beach, CA, January 31.- February 5. 1988. The
International Society for Optical Engineering. †News /Park ga:Grefenstette88d.
[1209] Hitoshi Iba and Taisuke Sato. Bugs: a bug-based search strategy using genetic algorithms. Journal of
Japanese Society for Artificial Intelligence, 8(6):786–796, November 1993. * CCA 24916/94 ga:HIba93a.
148
[1210] Y. Hu and T. J. Dennis. Map estimation in image-restoration by a local search enchanced genetic algorithm.
In Proceedings of the 6th International Conference on Digital Processing of Signals in Communication,
volume IEE Conf. Publ. No. 340, pages 123–129, Loughborough (UK), 2. - 6. September 1991. IEE.
ga:Hu91.
[1211] Jean-José Jacq and Christian Roux. Registration of successive DSA images using a simple genetic algorithm
with a stochastic performance-function. In J. K. J. Li and S. S. Reisman, editors, Proceedings of the 1993
IEEE Nineteenth Annual Northeast Bioengineering Conference, pages 223–224, Newark, NJ, 18.-19. March
1993. IEEE, New York. * P57796/93 EI 146452/93 ga:Jacq93a.
[1212] Jean-José Jacq and Christian Roux. Automatic registration of 3D images using a simple genetic algorithm
with a stochastic performance function. In Proceedings of the 15th Annual International Conference of
the IEEE Engineering in Medicine and Biology Society, volume 1, pages 126–127, San Diego, CA, 28.31. October 1993. IEEE. †EI M080364/94 ga:Jacq93b.
[1213] Jörg Krone. Ein Evolutionsalgorithmus zur parallelen Bildsegmentierung. In R. Grebe and M. Baumann,
editors, TAT ’92, Abstract Volume of the 4th German Transputer Users Group Meeting, pages 144–145,
Aachen, 22.-23. September 1992. Medical School of the Technical University (RWTH), Institute for Physiology. †[6] ga:Krone92a.
[1214] C.-E. Liedtke, T. Schnier, and A. Bloemer. Automated learning of rules using genetic operators. In ?,
editor, Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns,
pages 327–334, Budapest (Hungary), 13.-15. September 1993. Springer-Verlag, Berlin. * CCA 86430/94
EEA 95681/94 ga:Liedtke93a.
[1215] Keith Hung-Kei Chow and Ming L. Liou. Genetic motion search algorithm for video compression. IEEE
Transactions on Circuits and Systems for Video Technology, 3(6):440–445, December 1993. ga:Liou93a.
[1216] Eric I. Chang and Richard P. Lippmann. Using genetic algorithms to select and create features for pattern
classification. Government report AD-A235165/8, MIT, 1991. * CA 500 Vol. 36 No. 1 ga:Lippmann91a.
[1217] Reinhard Lohmann. Evolutionsstrategische Filter-Entwicklungen. In E. Köhler, editor, 36. Internationales
wissenschaftliches Kolloquium, pages 619–624, Ilmenau (Germany), 21.-24. October 1991. Technische Universität Ilmenau. †Back/bib/unp ga:Lohmann91a.
[1218] Reinhard Lohmann. Selforganization by evolutionary strategies in visual systems. Number 565 in Lecture
Notes in Artificial Intelligence, pages 500–508, Neubiberg (Germany) and Wildbad Kreuth (Germany),
10.-11. March and 24.-28. July 1989 1991. Springer-Verlag, Berlin. ga:Lohmann91b.
[1219] Reinhard Lohmann. Bionische Verfahren zur Entwicklung visueller Systeme. PhD thesis, Technische
Universität der Berlin, 1991. †Back/bib/unp ga:LohmannThesis.
[1220] Venkat R. Mandava. A technique for search space adaption with simulated annealing & genetic algorithms
in image registration. Master’s thesis, Vanderbilt University, Department of Computer Science, Nashville,
TN, 1987. †Fitzpatrick89a ga:MandavaMSThesis.
[1221] Alastair D. McAulay and Jae Chan Oh. Image learning classifier system using genetic algorithms. In
Proceedings of the IEEE 1989 National Aerospace and Electronics Conference (NAECON 1989), pages
705–713, Dayton, OH, 22.-26. May 1989. IEEE, New York. ga:McAulay89.
[1222] John R. McDonnell, J. D. Argast, and Don Waagen. Evolving wavelet compression strategies. In Fogel
and Atmar [2435], page ? ga:McDonnell93c.
[1223] Dipankar Dasgupta and Douglas R. McGregor. Digital image registration using structured genetic algorithms. In Su-Shing Chen, editor, Neural and Stochastic Methods in Image and Signal Processing, volume
SPIE-1766, pages 226–234, San Diego, CA, 20. -23. July 1992. The International Society for Optical Engineering. ga:McGregor92d.
[1224] David J. Montana. Automated parameter tuning for interpretation of synthetic images. chapter 19, pages
282–311. 1991. ga:Montana91.
[1225] David J. Montana. Genetic search of a generalized Hough transform space. In Firooz A. Sadjadi, editor,
Adaptive and Learning Systems, volume SPIE-1706, pages 14–21, Orlando, FL, 20. -21. April 1992. The
International Society for Optical Engineering. * EI M150850/93 EEA 38169/94 ga:Montana92a.
[1226] Naoki Kobayashi and Hideo Saito. Halftone algorithm using genetic algorithm. In ?, editor, Proceedings
of the Fourth International Conference on Signal Processing Applications and Technology, volume 1, pages
727–731, Santa Clara, CA, 28. September- 1. October 1993. DSP Associates, Newton, MA. * EEA
74530/94 ga:NKobayashi93a.
Bibliography
149
[1227] Tomoharu Nagao, Takeshi Agui, and Hiroshi Nagahashi. Extraction of straight lines using a genetic
algorithm. Transactions of the Institute of Electronics, Information, and Communication Engineers D-II
(Japan), J75D-II(4):832–834, 1992. (in Japanese) †Fogel/bib ga:Nagao92a.
[1228] Tomoharu Nagao, Takeshi Agui, and Hiroshi Nagahashi. Extraction of 2-dimensional arbitrary shapes
using a genetic algorithm. In B. G. Haskell and H. M. Hang, editors, Visual Communications and Image
Processing ’93, volume SPIE-2094, pages 74–83, Cambridge, MA, 8. -11. November 1993. The International
Society for Optical Engineering. * P59562/94 EEA 29936/94 CCA 25166/94 ga:Nagao93d.
[1229] Paul S. Lewis and John C. Mosher. Genetic algorithms for minimal source reconstructions. In Avtar
Singh, editor, Proceedings of the Twenty-Seventh Asilomar Conference on Signals, Systems & Computers,
volume 1, pages 335–338, Pacific Grove, CA, 1.-3. November 1993. IEEE Computer Society Press, Los
Alamitos, CA. ga:PSLewis93a.
[1230] Neil Pendock. A genetic algorithm for conductivity imaging of airborne electromagnetic data. In N. K.
Delgrande, I. Cindrich, and P. B. Johnson, editors, Underground and Obscured Object Imaging and Detection, volume SPIE-1942, pages 129–136, Orlando, FL, 15. -16. April 1993. The International Society for
Optical Engineering. * P59355/94 EI M108312/94 ga:Pendock93a.
[1231] Louis A. Tamburino, Mateen M. Rizki, and S. S. Ebeid. Adaptive search and image processing with
transputer arrays. In Proceedings of the 1991 IEEE National Aerospace and Electronics Conference 1991,
volume 3, pages 1066–1069, Dayton, OH, 20.-24. May 1991. IEEE, Piscataway, NJ. ga:Rizki91c.
[1232] Louis A. Tamburino and Mateen M. Rizki. Performance-driven autonomous design of pattern-recognition
systems. Applied Artificial Intelligence, 6(?):59–77, ? 1992. †[2436] ga:Rizki92b.
[1233] Gerhard Roth and Martin D. Levine. Robustness in primitive extraction and correspondence computation.
In ?, editor, Sensor Fusion IV: Control Paradigms and Data Structures, volume SPIE-1611, pages 542–
554, San Diego, CA, 12.-15. November 1991. The International Society for Optical Engineering. * EI
A031911/92 ga:Roth92b.
[1234] Aimé Meygret, Martin D. Levine, and Gerhard Roth. Robust primitive extraction in a range image. In
Proceedings of the 11th IAPR International Conference on Pattern Recognition, volume III, pages 193–196,
The Hague (Netherlands), 30. August - 3. September 1992. IEEE Computer Society Press, Los Alamitos,
CA. ga:Roth92c.
[1235] Gerhard Roth. A consensus to primitive extraction. PhD thesis, Columbia University, 1993. * DAI Vol.
55 No. 6 ga:Roth93a.
[1236] Anoop K. Bhattacharjya, Douglas E. Becker, and Badrinath Roysam. A genetic algorithm for intelligent
imaging from quantum-limited data. Technical Report ?, Rensselaer Polytechnic Institute, Troy, NY,
Department of Electrical, Computer and Systems Engineering, 1992. †BackBib ga:Roysam92a.
[1237] Malay K. Kundu and Sankar K. Pal. Automatic selection of object enhancement operator with quantitative
justification based on fuzzy set theoretic measures. Pattern Recognition Letters, 11(?):811–829, ? 1990.
†[1077] ga:SKPal90a.
[1238] Sankar K. Pal. Fuzzy sets in image processing and recognition. In Proceedings of the 1992 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 119–126, San Diego, CA, 8.-12. March 1992.
IEEE, New York. * EI M032539 ga:SKPal92a.
[1239] Dinabandhu Bhandari, Sankar K. Pal, and Malay K. Kundu. Image enhancement incorporating fuzzy fitness function in genetic algorithms. In Second IEEE International Conference on Fuzzy Systems, volume II,
pages 1408–1413, San Francisco, March 28.- April 1. 1993. IEEE. ga:SKPal93a.
[1240] Sankar K. Pal, Dinabandhu Bhandari, P. Harish, and Malay K. Kundu. Cellular neural networks, genetic
algorithms and object extraction. Far East Journal of Mathematical Sciences, 1(2):139–155, December
1993. ga:SKPal93b.
[1241] Milan Sonka, Satish Kumar Tadikonda, and Steve M. Collins. Genetic algorithms in hypothesize-and-verify
image interpretation. In P. S. Schenker, editor, Sensor Fusion VI, volume SPIE-2059, pages 236–247,
Boston, MA, 7. -8. September 1993. The International Society for Optical Engineering. * P59382/94 CCA
27478/94 ga:SMCollins93a.
[1242] Satish Kumar Tadikonda, Milan Sonka, and Steve M. Collins. Region merging in medical image segmentation and interpretation. In Proceedings of the 15th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, volume 1, pages 158–159, San Diego, CA, 28.-31. October
1993. IEEE. †EI M080370/94 ga:SMCollins93b.
150
[1243] S. Richard F. Sims and Belur V. Dasarathy. Automatic target recognition using a passive multisensor
suite. Optical Engineering, 31(12):2584–2593, December 1992. ga:SRFSims92a.
[1244] Hideo Saito and Kiyotada Usami. Shape from shading using genetic algorithm. In Proceedings of the 19th
Annual Conference of IEEE Industrial Electronic Society (IECON’93), volume 3, pages 1620–1625, Maui,
HI, November 1993. IEEE Press, New York. ga:Saito93a.
[1245] Markus Schwehm, Karl Dieter Reinartz, Thomas Walter, Sönke-Sonnich Gold, Christoph Schäftner, Thilo
Opaterny, Alexander Ost, and Norbert Engst. Massiv parallele genetische Algorithmen, Beiträge zum
Tag der Informatik Erlangen 1993. Interner Bericht IMMD VII - 8/93, Friedrich-Alexander-Universität
Erlangen-Nürnberg, Institut für Matematische Maschinen und Datenverarbeitung, 1993. (in German)
ga:Schwehm93b.
[1246] Guna S. Seetharaman, Obili S. Prabhu, and Anand Narasimhan. Two modified crossover and mutation
operators for image segmentation by genetic algorithm. In Su-Shing Chen, editor, Neural and Stochastic
Methods in Image and Signal Processing, volume SPIE-1766, pages 66–76, San Diego, CA, 20. -23. July
1992. The International Society for Optical Engineering. ga:Seetharaman92a.
[1247] W. Siedlecki and J. Sklansky. A note on genetic algorithms for large scale feature selection. Pattern
Recognition Letters, 10(5):335–347, November 1989. ga:Sklansky89a.
[1248] Michael M. Skolnick. A classifier system for learning spatial representations, based on a Pebble-Pond
morphological wave propagation algorithm. In ?, editor, Visual Communications and Image Processing
’92, volume SPIE-1818, pages 919–930, Boston, MA, 18. -20. November 1992. The International Society
for Optical Engineering. * EEA 62209/93 ga:Skolnick92a.
[1249] Walter Alden Tackett. Genetic generation of “dendritic trees” for image classification. In Proceedings of the
World Congress on Neural Networks - WCNN ’93, volume IV, pages 646–649, Portland, OR, 11.-15. July
1993. Lawrence Erlbaum Ass., Inc., Hillsdale, NJ. ga:Tackett93b.
[1250] Satish Kumar Tadikonda. Automated image segmentation and interpretation using genetic algorithms and
semantic nets. PhD thesis, The University of Iowa, 1993. * DAI vol. 55 No. 3 ga:TadikondaThesis.
[1251] Staffan Truve. Using a genetic algorithm to solve constraint satisfaction problems generated by an image
interpreter. In P. Johansen and S. Olsen, editors, Theory and Application of Image Analysis. Selected
Papers from the 7th Scandinavian Conference, pages 133–147, Aalborg (Denmark), 13.-16. August 1991.
World Scientific, Singapore. * EEA 80040/92 ga:Truve91a.
[1252] Staffan Truve. Symbolic image interpretation by parsing, interpreting and pruning. Technical Report ?,
Chalmers Tekniska Högskola, 1992. †Nordin ga:Truve92a.
[1253] Riccardo Poli and G. Valli. Neural inhabitants of MR and echo images segment cardiac structures. In Proceedings of the 1993 Conference on Computers in Cardiology, pages 193–196, London (UK), 5.-8. September
1993. IEEE Computer Society Press, Los Alamitos, CA. †EI M081918/94 ga:Valli93a.
[1254] Suchendra M. Bhandarkar, Yiqing Zhang, and Walter D. Potter. A genetic algorithm-based edge detection
technique. In IJCNN’93 [2437], pages 2995–2999. ga:WDPotter93a.
[1255] Chang Yilin, Li Feipeng, and H. Zheng. Displacement estimation by 2-D genetic optimizer algorithm for
image sequence coding. Acta Electronica Sinica, 20(1):61–66, January 1992. (in Chinese) †Fogel/bib
ga:Yilin92.
[1256] Yan Huang, Kannappan Palaniappan, Xinhua Zhuang, and Joseph E. Cavanaugh. Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm. IEEE Transactions on
Pattern Analysis and Machine Intelligence, 17(12):1177–1190, December 1995. gaYHuang.
[1257] Masaya Ono. Pattern recognition, 1994. (JP patent no. 6187452. Issued July 8 1994) * fi.espacenet.com
ga94aMOno.
[1258] Kim Jongwan, Ahn Jesung, Kim Chong Sang, Cho Seongwon, and Hwang Heeyeung. Pattern recognition
using competitive learning neural network with the reduced input dimension. J. Korea Inf. Sci. Soc. (South
Korea), 21(10):1919–1926, 1994. †CCA730/95 ga94bJongwan.
[1259] M. Lehotsky, V. Olej, and J. Chmumy. Pattern recognition based on the fuzzy neural networks and their
learning by modified genetic algorithms. Neural Network World, 5(1):91–97, 1995. †EI M199150/95
ga95bLehotsky.
[1260] Ei Sakano and Naoki Takegawa. Pattern recognition method and pattern recognition dictionary preparation
method and device therefor, 1999. (JP patent no. 11134316. Issued May 21 1999) * fi.espacenet.com
ga99bESakano.
Bibliography
151
[1261] A. K. Srinastava, K. K. Shukla, and S. K. Srivastava. Application of genetically trained neural network with mutation to intelligent gas sensor. In Nikhil Pal, Arm K. De, and Jyofirmay Des, editors,
Advances in Pattern Recognition and Digital Techniques, Proceedings of the 4th International Conference
on, pages 326–330, ?, ? 2000. Narosa Publishing House, New Delhi (India). †kirjakauppa/Sanoma-talo
ga00aAKSrinastava.
[1262] Brandye M. Smith and Paul J. Gemperline. Wavelength selection and optimization of pattern recognition methods using the genetic algorithm. Analytica Chimica Acta, 423(2):167–177, 1. November 2000.
ga00aBrandyeMSmith.
[1263] Chin-Teng Lin, His-Wen Nein, and Jiing-Yuan Hwu. GA-based noisy speech recognition using twodimensional cepstrum. IEEE Transactions on Speech and Audio Processing, 8(6):664–675, November 2000.
ga00aC-TLin.
[1264] Changbo Hu, Qingfeng Yu, Yi Li, and Songde Ma. Extraction of parametric human model for posture
recognition using genetic algorithm. In Proceedings of the 4th IEEE International Conference on Automatic
Face and Gesture Recognition, pages 518–523, Grenoble (France), 28.-30. March 2000. IEEE, Piscataway,
NJ. * www /IEEE ga00aChangboHu.
[1265] G. B. Hu, L. M. Peng, Q. F. Yu, and H. Q. Lu. Automated indentification of symmetry in CBED patterns:
a genetic approach. Ultramicroscopy, 84(1-2):47–56, July 2000. * PubMed10896139 ga00aGBHu.
[1266] Barry K. Lavine, J. Ritter, Anthony J. Moores, M. Wilson, Abdullah Faruque, and Howard T. Mayfield. Source identification of underground fuel spills by solid-phase microextraction/high-resolution gas
chromatography/genetic algorithms. Anal. Chem., 72(2):423–431, 15. January 2000. * PubMed10658340
ga00aGKLavine.
[1267] H. Roubos and M. Setnes. Compact fuzzy models through complexity reduction and evolutionary optimization. In Proceedings of the 9th IEEE International Conference on Fuzzy Systems, FUZZ IEEE 2000,
volume 2, pages 762–767, San Antonio, TX, 7.-10. May 2000. IEEE, Piscataway, NJ. * www /IEEE
ga00aHRoubos.
[1268] J. K. Kishore, L. M. Patnaik, V. Mani, and V. K. Agrawal. Application of genetic programming for multicategory pattern classification. IEEE Transactions on Evolutionary Computation, 4(3):242–258, September
2000. ga00aJKKishore.
[1269] Jari Kangas. Comparison between two prototype representation schemes for a nearest neighbor classifier.
Barcelona (Spain), 3.-7. September 2000. IEEE, Piscataway, NJ. †www /IEEE ga00aJariKangas.
[1270] Juha Kivijärvi, Pasi Fränti, and Olli Nevalainen. Efficient clustering with a self-adaptive genetic algorithm.
In ?, editor, Proceedings of SCI’2000, volume 3, pages 241–246, Orlando, FL, ? 2000. ? †Franti /lop
ga00aKivijarvi.
[1271] Liam Yew and Chwee Kim. Automatic freeway incident detection system using artificial neural networks
and genetic algorithm, 2000. (WIPO patent no. WO 00/07113. Issued February 10 2000) ga00aLYew.
[1272] Li Ying, Jiao Licheng, and Bai Bendu. Combining wavelet transform and the evolutionary neural network
for radar target recognition. In H. H. Szu, M. Veterli, W. J. Campbell, and J. R. Buss, editors, Wavelet
Applications VII, volume SPIE-4056, pages 499–506, San Diego, CA, 26. -28. April 2000. The International
Society for Optical Engineering, Bellingham, WA. †P89473/00 ga00aLiYing.
[1273] Lin Yu Tseng and Shiueng Bien Yang. A genetic clustering algorithm for data with non-spherical-shape
clusters. Pattern Recognition, 33(7):1251–1259, July 2000. ga00aLinYuTseng.
[1274] Minoru Kikuchi, Hiroyuki Tamura, Michinari Ono, Hiroshi Miyauchi, and Shigenobu Kobayashi. Infrared
image target detection process using continuous features. In Firooz A. Sadjadi, editor, Automatic Target
Recognition X, volume SPIE-4050, pages 465–475, ?, August 2000. The International Society for Optical
Engineering. * www/SPIE Web ga00aMKikuchi.
[1275] M. Yasunaga, T. Nakamura, I. Yoshihara, and J. H. Kim. GA-based kernel optimisation for pattern recognition: theory for EHW application. In Proceedings of the 2000 Congress on Evolutionary Computation,
volume 1, pages 545–552, La Jolla, CA, USA, 16.-19.July 2000. IEEE, Piscataway, NJ. * www/IEEE
ga00aMYasunaga.
[1276] Mohammed Zaki, Abdallah El-Ramsisi, and Rostom Omran. A soft computing approach for recognition
of occluded shapes. The Journal of Systems and Software, 51(?):73–83, ? 2000. ga00aMZaki.
[1277] P. N. Suganthan. Relational graph matching using genetic algorithms. In Nikhil Pal, Arm K. De,
and Jyofirmay Des, editors, Advances in Pattern Recognition and Digital Techniques, Proceedings of the
4th International Conference on, pages 52–56, ?, ? 2000. Narosa Publishing House, New Delhi (India).
†kirjakauppa/Sanoma-talo ga00aPNSuganthan.
152
[1278] Qingfeng Yu, Hanqing Lu, and Songde Ma. Computer analysis of rotational symmetry in CBED patterns.
In A. Sanfeliu, J. J. Villanueva, M. Vanrell, R. Alquezar, J.-O. Eklundh, and Y. Aloimonos, editors,
15th International Conference on Pattern Recognition, 2000, volume 1, pages 746–749, Barcelona, Spain,
3.-7.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aQYu.
[1279] Richard Myers and Edwin R. Hancock. Genetic algorithms for ambiguous labelling problems. Pattern
Recognition, 33(4):685–704, April 2000. ga00aRichardMyers.
[1280] S. Bell, E. Nazarov, Y. F. Wang, J. E. Rodriguez, and G. A. Eiceman. Neural network recognition of
chemical class information in mobility spectra obtained at high temperatures. Anal. Chem., 72(6):1192–
1198, 15. March 2000. * PubMed10740859 ga00aSBell.
[1281] T. Smith and A. Philippides. Mitric oxide signalling in real and artificial neural networks. BT Technology
Journal, 18(4):1400–149, October 2000. * ga00aTSmith.
[1282] V. M. Preciado, D. Guinea, J. Vicente, M. C. Garcia-Alegre, and A. Ribeiro. Automatic CNN multitemplate tree generation. In Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural
Networks and Their Applications (CNNA 2000), pages 327–332, Catania (Italy), 23.-25. May 2000. IEEE,
Piscataway, NJ. * www /IEEE ga00aVMPreciado.
[1283] W. Ziomek, M. Reformat, and E. Kuffel. Application of genetic algorithms to pattern recognition of defects
in GIS. IEEE Transactions on Dielectrics and Electrical Insulation, 7(2):161–168, April 2000. * www
/IEEE ga00aWZiomek.
[1284] Y. Mitsukura, M. Fukumi, and N. Akamatsu. Design and evaluation of neural networks for coin recognition
by using GA and SA. In S. Amari, C. L. Giles, M. Gori, and V. Piuri, editors, Proceedings of the IEEEINNS-ENNS International Joint Conference on Neural Networks, volume 5, pages 178–186, Como, Italy,
24.-27.July 2000. IEEE Computer Soc., Los Alamitos. †P90182 ga00aYMitsukura.
[1285] Y. Saito, Y. Kenmochi, and K. Kotani. Extraction of a symmetric object for eyeglass face analysis using
active contour model. In Proceedings. International Conference on Image Processing, volume 2, pages 231–
234, Vancouver, BC, Canada, 10.-13.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aYSaito.
[1286] Yuji Sato. Interactive evolution of adaptive parameter for speaker verification systems. pages 742–749,
2000. ga00aYujiSato.
[1287] Y.-W. Chen, X.-Y. Zeng, and Z. Nagao. Blind separation based on an evolutionary neural network. In
A. Sanfeliu, J. J. Villanueva, M. Vanrell, R. Alquezar, J.-O. Eklundh, and Y. Aloimonos, editors, 15th
International Conference on Pattern Recognition , 2000, volume 2, pages 973–976, Barcelona, Spain, 3.7.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00bY-WChen.
[1288] Michael Yasunaga, Taro Nakamura, Ikuo Yoshihara, and Jung Hwan Kim. Kernel optimization in pattern
recognition using a genetic algorithm. page 391, 2000. ga00dMYasunaga.
[1289] Aleix M. Martı́nez and Jordi Vitrià. Clustering in image space for place recognition and visual annotations
for human-robot interaction. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 31(5):669–
682, October 2001. * www /IEEE ga01aAMMartinez.
[1290] Barry K. Lavine, D. Brzozowski, Anthony J. Moores, C. E. Davidson, and Howard T. Mayfield. Genetic algorithm for fuel spill identification. Analytica Chimica Acta, 437(2):233–246, 27. June 2001.
ga01aBarryKLavine.
[1291] Faten Hussein, Nawwaf Kharma, and Rabab Ward. Genetic algorithms for feature selection and weighting,
a review and study. In Proceedings of the Sixth International Conference on Document Analysis and
Recognition, pages 1240–1244, Seattle, WA, 10.-13. September 2001. IEEE. * ga01aFHussein.
[1292] Gregory A. Bakken, Gregory W. Kauffman, Peter C. Jurs, Keith J. Albert, and Shannon S. Stitzel. Pattern
recognition analysis of optical sensor array data to detect nitroaromatic compound vapors. Sensors and
Actuators B, 79(?):1–10, 2001. ga01aGregoryABakken.
[1293] Il-Seok Oh, Jin-Seon Lee, and C. Y. Suen. A class-modularity for character recognition. In Sixth International Conference on Document Analysis and Recognition, volume ?, pages 64–68, Seattle, WA, USA,
10.-13.September 2001. IEEE, Piscataway, NJ. * www/IEEE ga01aI-SOh.
[1294] L. S. Oliveira, N. Benahmed, R. Sabourin, F. Bortolozzi, and C. Y. Suen. Feature subset selection using
genetic algorithms for handwritten digital recognition. In D. L. Borges and W. Shing-Ting, editors, Proceedings of XIV Brazilian Symposium on Computer Graphics and Image Processing, volume ?, pages 362–369,
Florianopolis, Brazil, 15.-18.October 2001. IEEE, Piscataway, NJ. * www/IEEE ga01aLSOliveira.
Bibliography
153
[1295] M. Mata, J. M. Armingol, A. de la Escalera, and M. A. Salics. A visual landmark recognition system for
topological navigation of mobile robots. In Proceedings of the 2001 ICRA/IEEE International Conference
on Robotics and Automation, volume 2, pages 1124–1129, Seoul (South Korea), 21-26. May 2001. IEEE,
Piscataway, NJ. * www /IEEE ga01aMMata.
[1296] Max Mignotte, Jean Meunier, and Jean-Claude Tardif. Endocardial boundary Estimation and tracking in
echocardiographic images using deformable template and Markov fields. Pattern Analysis & Applications,
4(4):256–271, ? 2001. * www /Springer ga01aMMignotte.
[1297] M. Murakami, K. Shirai, and M. Yoneyama. Human face extraction using genetic algorithm with similarity
of subspace method as a fitness value. In S. Loncaric and H. Babic, editors, Proceedings of the 2nd
International Symposium on Image and Signal Processing and Analysis. ISPA 2001, volume ?, pages 144–
148, Pula, Croatia, 19.-21.June 2001. IEEE, Piscataway, NJ. * www/IEEE ga01aMMurakami.
[1298] Md Sah Hj Salam, Dzulkifli Mohamad, and Sheikh Hussain Sheikh Salleh. Neural network speaker dependent isolated Malay speech recognition system: handcrafted vs genetic algorithm. In ?, editor, International
Symposium on Signal Processing and its Applications (ISSPA), volume ?, pages 731–734, Kuala Lumpur,
Malaysia, 13.-16. August 2001. ? ga01aMSHSalam.
[1299] Pisit Phokharatkul, Sombut Foitong, and Chom Kimpan. Object recognition using characteristic component and genetic algorithm. In Proceedings of IEEE Region 10 International Conference on Electrical
and Electronic Technology (TENCON), volume 1, pages 345–349, Singapore, 19.-22. August 2001. IEEE,
Piscataway, NJ. * www /IEEE ga01aPisitPhokharatkul.
[1300] S. Kwong, C. W. Chau, K. F. Man, and K. S. Tang. Optimisation of HMM topology and its model
parameters by genetic algorithms. Pattern Recognition, 34(2):509–522, February 2001. ga01aSKwong.
[1301] Stephen Soliday, Melissa T. Perona, and Daniel G. McCauley. Hybrid fuzzy-neural classifier for feature
level data fusion in ladar autonomous target recognition. In Firooz A. Sadjadi, editor, Automatic Target
Recognition XI, volume SPIE-4379, pages 66–77, ?, October 2001. The International Society for Optical
Engineering. * www/SPIE Web ga01aSSoliday.
[1302] Shinn-Ying Ho and Yeong-Chinq Chen. An efficient evolutionary algorithm for accurate polygonal approximation. Pattern Recognition, 34(12):2305–2317, December 2001. ga01aShinn-YingHo.
[1303] Toshio Fukuda and Yasuhisa Hasegawa. Learning and adaptation in robotics. In S. Singh, N. Murshed, and
W. Kropatsch, editors, Advances in Pattern Recognition - ICAPR 2001, Second International Conference,
volume LNCS of 2013, pages 12–23, Rio de Janeiro (Brazil), 11.-14. March 2001. Springer-Verlag Berlin
Heidelberg. * www /Springer ga01aTFukuda.
[1304] Wen-Lan Wu, Fong-Chin Su, Yuh-Min Cheng, and You-Li Chou. Potential of the genetic algorithm
neural network in the assessment of gait patterns in ankle artrodesis. Annals of Biomedical Engineering,
29(1):83–91, 2001. ga01aWen-LanWu.
[1305] Yee Leung, Jiang-Hong Ma, and Wen-Xiu Zhang. A new method for mining regression classes in large
data sets. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(1):5–21, January 2001. *
www /IEEE ga01aYeeLeung.
[1306] Jarmo T. Alander. Geneettiset algoritmit hahmontunnistuksessa — lyhyt katsaus. In Jukka Iivarinen,
Samuel Kaski, and Erkki Oja, editors, Neljännesvuosisata Hatutusta: Hahmontunnistustutkimus Suomessa
1977-2002, pages 97–114. Suomen hahmontunnistuksen tutkimuksen seura ry [Pattern Recognition Society
of Finland], Espoo (Finland), 2002. (in Finnish; abstract in English; available via anonymous ftp site
ftp.uwasa.fi directory cs/report02-2/25V.ps file ) ga02aAlander.
[1307] B. D. Khanh, Le Hoang Thai, and Nguyen Dinh Thuc. Multidisciplinary hybrid approach for analysing of
fingerprint. pages 248–253, 2002. ga02aBDKhanh.
[1308] Barry K. Lavine, C. E. Davidson, and Anthony J. Moores. Innovative genetic algorithms for chemoinformatics. Chemometrics and Intelligent Laboratory Systems, 60(1-2):161–171, 28. January 2002.
ga02aBarryKLavine.
[1309] F. Hakl, M. Hlaváček, and R. Kalous. Applications of neural networks optimised by genetic algorithms to
Higgs boson search. In P. M. A. Sloot, C. J. Kenneth Tan, J. J. Dongarra, and A. G. Hoekstra, editors,
Computational Science - ICCS 2002, International Conference, volume LNCS of 2331, pages 554–563,
Amsterdam (The Netherlands), 21.-24. April 2002. Springer-Verlag Berlin Heidelberg. * www /Springer
ga02aFHakl.
[1310] Faramarz Valafar. Pattern recognition techniques in microarray data analysis. In Faramarz Valafar, editor,
Techniques in Bioinformatics and Medical Informatics, volume 980 of Annals of the New York Academy of
Sciences, pages 41–64. The New York Academy of Sciences, New York, 2002. (Proceedings of METMBS)
ga02aFValafar.
154
[1311] Kozo Ohtani and Mitsuru Baba. A new method for shape recognition of a pillar-like object using 1-D
ultrasonic sensor array and GA. In Proceedings of the 41st SICE Annual Conference, volume 2, pages
1275–1279, Osaka (Japan), 5.-7. August 2002. IEEE, Piscataway, NJ. ga02aKozoOhtani.
[1312] Niloy Ganguly, Pradipta Maji, Arijit Das, Biplab K. Sikdar, and P. Pal Chaudhuri. Characterization on
non-linear cellular automata model for pattern recognition. In N. R. Pal and M. Sugeno, editors, Advances
in Soft Computing - AFSS 2002, 2002 AFSS International Conference on Fuzzy Systems, volume LNAI
of 2275, pages 214–220, Calcutta (India), 3.-6. February 2002. Springer-Verlag Berlin Heidelberg. * www
/Springer ga02aNGanguly.
[1313] Antti Niemistö, Vladimir V. Lukin, Alexander N. Dolia, Olli P. Yli-Harja, and Ilya Shmulevich. Misclassification correction in primary local recognition of component images of multichannel remote sensing data.
In Sebastiano B. Serpico, editor, Image and Signal Processing for Remote Sensing VII, volume SPIE-4541,
pages 134–145, ?, January 2002. The International Society for Optical Engineering. * www/SPIE Web
ga02aNiemisto.
[1314] Sang M. Soak, Seok C. Chang, Taehwan Shin, and Byung-Ha Ahn. Music recognition system using ART-1
and GA. In David P. Casasent and Tein-Hsin Chao, editors, Optical Pattern Recognition XIII, volume
SPIE-4734, pages 172–180, ?, March 2002. The International Society for Optical Engineering. * www/SPIE
Web ga02aSMSoak.
[1315] T. Hattori, O. Matoba, and B. Javidi. An embedding of feature space for pattern recognition using quantum
computing. In ?, editor, Photonic and Quantum Technologies for Aerospace Applications IV, volume
SPIE-, pages 183–190, Orlando, FL, 1. -2. April 2002. The International Society for Optical Engineering,
Bellingham, WA. * A02-41183 ga02aTHattori.
[1316] William Leigh, Russell Purvis, and James M. Ragusa. Forecasting the NYSE composite index with technical
analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision
support. Decision Support Systems, 32(?):361–377, ? 2002. ga02aWilliamLeigh.
[1317] Barry K. Lavine, C. E. Davidson, and Anthony J. Moores. Genetic algorithms for spectral pattern recognition. Vibrational Spectroscopy, 28(?):83–95, ? 2002. ga02bBarryKLavine.
[1318] T. Hattori, O. Matoba, and B. Javidi. Image recognition based on optical quasi-quantum computing. In ?,
editor, Photonic and Quantum Technologies for Aerospace Applications IV, volume SPIE-, pages 191–198,
Orlando, FL, 1. -2. April 2002. The International Society for Optical Engineering, Bellingham, WA. *
A02-41184 ga02bTHattori.
[1319] L. S. Oliveira, R. Sabourin, F. Bortolozzi, and C. Y. Suen. A methodology for reature selection using
multiobjective genetic algorithms for handwritten digit string recognition. International Journal of Pattern
Recognition and Artificial Intelligence, 17(6):903–929, ? 2003. * TKK/TKO ga03aLSOliveira.
[1320] Laetitia Jourdan, Clarisse Dhaenens-Flipo, and El-Ghazali Talbi. Discovery of genetic and environmental
interactions in disease data using evolutionary computation. In Gary B. Fogel and David W. Corne,
editors, Evolutionary Computation in Bioinformatics, pages 297–316. Morgan Kaufmann Publishers, New
York, 2003. †TKKpaa ga03aLaetitiaJourdan.
[1321] Ross F. Walker, Paul T. Jackway, and Dennis Longstaff. Genetic algorithm optimization of adaptive multiscale GLCM features. International Journal of Pattern Recognition and Artificial Intelligence, 17(1):17–39,
January 2003. ga03aRossFWalker.
[1322] Yingqiang Lin. Feature synthesis and analysis by evolutionary computation for object detection and recognition. PhD thesis, University of California, Riverside, 2003. * www /UMI ga03aYingqiangLin.
[1323] Carlos Andrés Peña-Reyes. Coevolutionary fuzzy modeling. In Coevolutionary fuzzy modeling, volume 3204
of Lecture Notes in Computer Science. Springer-Verlag, Heidelberg, 2004. †www /ISI ga04bCAPena-Reyes.
[1324] D. Abraham Chandy and V. Vijaya Kumari. Genetic algorithm based location of optic disc in retinal
images. Academic Open Internet Journal, 17(?):?, ? 2006. ga06aDAChandy.
[1325] Yan Guozheng, Yang Banghua, Chen Shuo, and Yan Rongguo. Pattern recognition using hybrid optimization for a robot controlled by human thoughts. In ?, editor, Proceedings of the 19th IEEE International
Symposium on Computer-Based Medical Systems, pages 396–400, ?, ? 2006. IEEE Computer Society,
Piscataway, NJ. ga06aYanGuozheng.
[1326] Kyrre Glette, Jim Torresen, and Moritoshi Yasunaga. online evolution for a high-speed image recognition
system implemented on a Virtex-II Pro FPGA. In Proceedings of the Second NASA/ESA Conference on
Adaptive Hardware and Systems AHS 2007, pages 463–470, ?, 5.-8. August 2007. IEEE, Piscataway, NJ.
ga07aKyrreGlette.
Bibliography
155
[1327] Mateem M. Rizki, Louis A. Tamburino, and Michael A. Zmuda. Applications of learning strategies to pattern recognition. In Steven K. Rogers, editor, Applications of Artificial Neural Networks II, volume SPIE1469, pages 384–391, ?, August 1991. The International Society for Optical Engineering. * www/SPIE
Web ga91aMMRizki.
[1328] Alan V. Scherf and Lawrence D. Voelz. Training neural networks with genetic algorithms for target
detection. In Dennis W. Ruck, editor, Science of Artificial Neural Networks, volume SPIE-1710, pages 734–
741, ?, July 1992. The International Society for Optical Engineering. * www/SPIE Web ga92aAVScherf.
[1329] Ashutosh Malaviya and Paritosh Malaviya. Object recognition using fuzzy set theoretic techniques. In
Firooz A. Sadjadi, editor, Adaptive and Learning Systems II, volume SPIE-1962, pages 54–61, ?, September
1993. The International Society for Optical Engineering. * www/SPIE Web ga93aAMalaviya.
[1330] Belur V. Dasarathy. CORPS: class overlap region partitioning scheme - a tool for feature assessment. In
Lynn E. Garn and Lynda L. Graceffo, editors, Architecture, Hardware, and Forward-Looking Infrared Issues
in Automatic Object Recognition, volume SPIE-1957, pages 215–226, ?, October 1993. The International
Society for Optical Engineering. * www/SPIE Web ga93aBVDasarathy.
[1331] Jochen Heistermann. Hybrid learning process for neural networks, e.g. for pattern recognition in speech
processing - uses combination of stochastic and deterministic processes for optimizing system, 1993. (DE
patent no. 4138053. Issued May 27 1993) * fi.espacenet.com ga93aJHeistermann.
[1332] Bruno Bontempi and Angelo Marcelli. Machine learning and genetic algorithms: an application to character
recognition. In Proceedings of the 1994 IEEE International Conference on Systems, Man, and Cybernetics,
volume 3, pages 2225–2230, San Antonio, TX, 2.-5. October 1994. IEEE, New York. * EI M091591/95
ga94aBontempi.
[1333] Thomas J. Downey and Donald J. Meyer. Genetic algorithm for feature selection. In Proceedings of the
Artificial Neural Networks in engineering Conference, pages 363–368, St. Louis, MO, 13.-16. November
1994. ASME, New York. †EI M057082/95 ga94aDowney.
[1334] Philip Laird and Ronald Saul. Automated feature extraction for supervised learning. In ICEC’94 [2405],
pages 674–679. ga94aLaird.
[1335] Shermann L. Min. Feasibility of evolving self-learned pattern recognition applied toward the solution of a
constrained system using genetic programming. In Koza [2426], page ? †conf.prog ga94aMin.
[1336] Thang Nguyen and Thomas Huang. Advances in genetic programming. In Kinnear, Jr. [2406], chapter 22.
Evolvable 3D modeling for model-based object recognition systems, pages 459–475. †cessu ga94aNguyen.
[1337] Fumiaki Takeda, Sigeru Omatu, Saizo Onami, Takashi Kadono, and Kengo Terada. A paper currency
recognition method by a neural network using masks and mask optimization by GA. In Proceedings of
the Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms, pages 125–129, Nagoya (Japan),
9.-10. August 1994 1994. Springer-Verlag, Berlin (Germany). ga94bTakeda.
[1338] David Andre. Advances in genetic programming. In Kinnear, Jr. [2406], chapter 23. Automatically defined
features: The simultaneous evolution of 2-dimensional feature detectors and an algorithm for using them,
pages 478–494. †cessu ga94cAndre.
[1339] Sankar K. Pal and Dinabandhu Bhandari. Selection of optimal set of weights in a layered network using
genetic algorithm. Information Sciences, 80(3-4):213–234, September 1994. ga94dSKPal.
[1340] A. Ugur and Michael Conrad. Multiple level evolutionary learning in neuronal pattern recognition. In ?,
editor, Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 271–288, San
Diego, CA, 1.-3. March 1995. MIT Press, Cambridge, MA. †CCA34467/97 ga95aAUgur.
[1341] Markus M. Breunig. Location independent pattern recognition using genetic programming. In Koza [2408],
page ? †Koza ga95aBreunig.
[1342] Fumiaki Takeda. Method for optimizing mask using genetic algorithm for pattern recognition, 1995. (JP
patent no. 7121719. Issued May 12 1995) * fi.espacenet.com ga95aFTakeda.
[1343] Astro Teller and Manuela Veloso. PADO: Learning tree structured algorithms for orchestration into an
object recognition system. Technical Report CMU-CS-95-101, Carnegie Mellon University, Department of
Computer Science, 1995. †Langdon/bib ga95aTeller.
[1344] P. W. M. Tsang. A genetic algorithm for affine invariant object shape recognition. In IEE/IEEE Sheffield
’95 [2427], pages 293–298. †conf.prog ga95aTsang.
[1345] Peter Willett. Genetic algorithms in molecular recognition and design. Trends in Biotechnology, 13(?):516–
521, December 1995. ga95aWillett.
156
[1346] John R. Podlena and Tim Hendtlass. Using a combination of genetic algorithm and hill climbing techniques for the solution of a difficult letter recognition problem. In Proceedings of the Eighth International
Conference, pages 55–60, Melbourne, Vic. (Australia), 6.-8. June 1995. Gordon & Breach, Newark, NJ
(USA). †CCA29705/97 ga95bPodlena.
[1347] Astro Teller and Manuela Veloso. Algorithm evolution for face recognition: what makes a picture difficult.
In ICEC’95 [2411], pages 608–613. †prog. ga95bTeller.
[1348] F. Takeda, S. Omatu, and S. Onami. Mask optimization by genetic algorithm for a neuro-pattern recognition machine with masks. Transactions of the Institute of System, Control, and Information Engineers
(Japan), 8(5):196–203, 1995. (In Japanese) †CCA64407/95 ga95cTakeda.
[1349] Andrew D. J. Cross and Edwin R. Hancock. Inexact graph matching with genetic search. In ?, editor,
Proceedings of the 6th International Workshop, Advances in Structural and Syntactical Pattern Recognition,
volume ?, pages 150–159, Leipzig, Germany, 20.-23. August 1996. Springer-Verlag, Berlin (Germany).
†CCA9775/97 ga96aADJCross.
[1350] Bing-Bing Chai, Xinhua Zhuang, Yunxin Zhao, and Jack Sklansky. Binary linear decision tree with genetic
algorithm. In Proceedings of the 13th International Conference on Pattern Recognition, volume 4, pages
530–534, Vienna, Austria, 25.-29. August 1996. IEEE Computer Society Press, Los Alamitos, California.
†EEA15561/97 ga96aB-BChai.
[1351] K. Brunnstrom and A. J. Stoddart. Genetic algorithms for free-form surface matching. In Proceedings
of the 13th International Conference on Pattern Recognition, volume 4, pages 689–693, Vienna, Austria,
25.-29. August 1996. IEEE Comput. Soc. Press, Los Alamitos, CA (USA). †EEA15569/97 ga96aBrunnstr.
[1352] Ei Sakano and Hiromi Kida. Method and device for evaluating character recognition device, 1996. (JP
patent no. 8194781. Issued July 30 1996) * fi.espacenet.com ga96aESakano.
[1353] M. Fukumi. A method to design a rotation invariant neural pattern recognition system by a genetic
algorithm. Bull. Fac. Eng. Univ. Tokushima (Japan), ?(41):87–94, 1996. (In Japanese) †EEA5439/97
ga96aFukumi.
[1354] S. Gokulakrishnan, C. Chellappan, and V. Sankaranasayanan. Genetic based topology optimized backpropagation network (OSTOP system) for finger print pattern identification. In Proceedings of the Third
World Congress on Expert Systems, volume 2, pages 1231–1238, Seoul (South Korea), 5.-9. February 1996.
Cognizant Communications Corp., New York, NY (USA). †CCA30034/97 ga96aGokulakrishnan.
[1355] Hugo Van Hove and Alain Verschoren. Genetic algorithms for pattern recognition. In Pal and Wang [1365],
chapter 7. Genetic algorithms and recognition problems, page ? †toc ga96aHugoVanHove.
[1356] Masaya Iwata, Isamu Kajitani, Hitoshi Yamada, Hitoshi Iba, and Tetsuya Higuchi. A pattern recognition
system using evolvable hardware. In Voigt et al. [2413], pages 761–770. ga96aIwata.
[1357] Jerzy W. Bala, Kenneth A. De Jong, J. Huang, Haleh Vafaie, and Harry Wechsler. Using learning to
facilitate the evolution of features for recognizing visual concepts. Evolutionary Computation, 4(3):297–
311, 1996. †BAb129175 ga96aJWBala.
[1358] Kazuyuki Ebihara, Jun Ohya, and Fumio Kishino. Real-time facial expression detection based on frequency
domain transform. In Rashid Ansari and Mark J. Smith, editors, Visual Communications and Image
Processing ’96, volume SPIE-2727, pages 916–926, ?, February 1996. The International Society for Optical
Engineering. * www/SPIE Web ga96aKEbihara.
[1359] H. Kawanishi and M. Hagiwara. A shape detection method using improved genetic algorithm. Transactions
of the Institute of Electrical Engineers of Japan C, 116-C(8):891–897, 1996. (In Japanese) †CCA9593/97
ga96aKawanishi.
[1360] Louis A. Tamburino and Mateen M. Rizki. Resource allocation for a hybrid evolutionary learning system
used for pattern recognition. In ?, editor, Proceedings of the Fifth Annual Conference on Evolutionary
Programming, pages 207–216, San Diego, CA (USA), 29. February- 3. March 1996. MIT Press, Cambridge,
MA. †CCA99386/97 ga96aLATamburino.
[1361] Minoru Fukumi and N. Akamatsu. A genetic approach to feature selection for pattern recognition systems.
In Proceedings of the 4th International Conference on Soft Computing, volume 2, pages 907–910, Fukuoka,
Japan, 30. Sep - 5. Oct 1996. World Scientific, Singapore. †CCA56931/97 ga96aMFukumi.
[1362] S. McClintock, T. Lunney, and A. Hashim. The application of genetic algorithms to star pattern recognition. In Proceedings of the 4th International Conference on Soft Computing, volume 2, pages 541–544,
Fukuoka, Japan, 30. Sep - 5. Oct 1996. World Scientific, Singapore. †CCA54155/97 ga96aMcClinto.
Bibliography
157
[1363] Sung-Bae Cho. Genetic combining multiple neural networks for handwritten numeral recognition. In
Proceedings of the 4th International Conference on Soft Computing, volume 2, pages 774–777, Fukuoka,
Japan, 30. Sep - 5. Oct 1996. World Scientific, Singapore. †CCA54173/97 ga96aS-BCho.
[1364] S. Gokulakrishnan, C. Chellappan, and V. Sankaranarayanan. Genetic based counted propagation network
(OSCPN system) for fingerprint identification. In Proceedings of the Third World Congress on Expert
Systems, volume 2, pages 1239–1246, Seoul (South Korea), 5.-9. February 1996. Cognizant Communications
Corp., New York (USA). †CCA26870/97 ga96aSGokulakrishnan.
[1365] Sankar K. Pal and Paul P. Wang, editors. Genetic Algorithms for Pattern Recognition. CRC Press, Boca
Raton, FL, 1996. †www.amazon.com GAdigest v 10 n 28 ga96aSKPal.
[1366] S. McClintock, T. Lunney, and A. Hashim. A genetic algorithm environment for star pattern-recognition.
Journal of Intelligent & Fuzzy Systems, 6(1):3–16, 1996. †P81724 ga96aSMcClintock.
[1367] T. Takara and A. Hirayasu. Speech recognition using the model structure determined by the genetic algorithm. Nonlinear Analysis-Theory Methods & Applications, 30(5):2969–2980, 1996. †P78801
ga96aTTakara.
[1368] Takumi Yamaoka and Youshi Sasamoto. Device and method for sentence phoneme recognition, 1996. (JP
patent no. 8115094. Issued May 7 1996) * fi.espacenet.com ga96aTYamaoka.
[1369] Fumiaki Takeda and Sigeru Omatu. Neuro-recognition method for bills using genetic algorithm. Nippon
Kikai Gakkai Ronbunshu C Hen, 62(593):135–140, 1996. †EI M067906/96 ga96aTakeda.
[1370] Tetsushi Yada, Masato Ishikawa, Hidetoshi Tanaka, and Kiyoshi Asai. Signal pattern extraction from DNA
sequences using hidden Markov model and genetic algorithm. Transactions of the Information Processing
Society of Japan, 37(6):1117–1129, 1996. In Japanese ga96aTetsushiYada.
[1371] Bing-Bing Chai, Tong Huang, Xinhua Zhuang, Yunxin Zhao, and Jack Sklansky. Piecewise linear classifiers
using binary tree structure and genetic algorithm. Pattern Recognition, 29(11):1905–1917, November 1996.
ga96bB-BChai.
[1372] Andrew D. J. Cross, Richard C. Wilson, and Edwin R. Hancock. Genetic search for structural matching.
In Proceedings of the 4th European Conference on Computer, volume 1, pages 514–525, Cambridge, UK,
14.-18. April 1996. Springer-Verlag, Berlin (Germany). †EEA 67261/96 ga96bCross.
[1373] Tsuyoshi Kawaguchi and Takeharu Baba. 3-D object recognition using a genetic algorithm. In Proceedings
of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS, volume 3, pages 321–324,
Atlanta, GA (USA), 12.-15. May 1996. IEEE, Piscataway, NJ. †EI M162978/96 ga96bKawaguch.
[1374] T. Sawaragi, N. Tani, and O. Katai. Concept learning for interface agent through adaptive feature selection
and GA-based feature discovery. In Proceedings of the 4th International Conference on Soft Computing,
volume 1, pages 65–69, Fukuoka, Japan, sep 30.- oct 5. ? 1996. World Scientific , Singapore. †CCA58360/97
ga96bSawaragi.
[1375] S. K. Lim, K. C. Wong, and H. C. Sim. Recognising two-dimensional objects using genetic algorithm
based on a new encoding scheme. In Proceedings of the IASTED International Conference: Signal and
Image Processing, pages 92–96, Orlando, FL, 11.-14. November 1996. IASTED, Anaheim, CA (USA).
†CCA70005/98 ga96cSKLim.
[1376] Anil Jain and Douglas Zongker. Feature selection: evaluation, application, and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2):153–158, February 1997.
ga97aAJain.
[1377] Abraham Kandel, Yan-Qing Zhang, and H. Bunke. A genetic fuzzy neural network for pattern recognition.
In Proceedings of the Sixth IEEE Internatonal Conference on Fuzzy Systems, volume 1, pages 75–78,
Barcelona (Spain), 1.-5. July 1997. IEEE, New York, NY. †CCA79454/97 ga97aAKandel.
[1378] Jerzy W. Bala, Kenneth A. De Jong, J. Huang, Haleh Vafaie, and Harry Wechsler. Using learning to
facilitate the evolution of features for recognizing visual concepts. Evolutionary Computation, 4(3):?, 1997.
(Journal: available via www URL: http://www-mitpress.mit.edu/jrnls-catalog/evolution.html) †toc
ga97aBala.
[1379] Claudio A. Perez and Carlos A. Holzmann. Improvements on handwritten digit recognition by genetic selection of neural network topology and by augmented training. In Proceedings of the 1997 IEEE International
Confeence on Systems, Man, and Cybernetics, volume 2, pages 1487–1491, Orlando, FL, 12.-15. October
1997. IEEE, Piscataway, NJ. †EI M016961/98 ga97aClaPerez.
158
[1380] Dayou Wang, Xiaomei Wang, and J. M. Keller. Determining fuzzy integral densities using a genetic
algorithm for pattern recognition. In Proceedings of the 1997 Annual Meeting of the North American Fuzzy
Information Processing Society, pages 263–267, Syracuse, NY (USA), 21.-24. September 1997. IEEE, New
York, NY. †CCA103026/97 ga97aDayouWang.
[1381] F. J. Aherne, P. Rockett, and N. A. Thacker. Automatic parameter selection for object recognition using a
parallel multiobjective genetic algorithm. In Proceedings of the 7th International Conference on Computer
Analysis of Images and Patterns, pages 559–566, Kiel, Germany, 10.-12. September 1997. Springer-Verlag,
Berlin (Germany). †CCA99417/97 ga97aFJAherne.
[1382] F. Takeda, T. Nishikage, and S. Omatu. Neural-network recognition system tuned by GA and design of its
hardware by DSP. In Proceedings of the Artificial Intelligence in Real-Time Control, pages 319–324, Kuala
Lumpur, Malaysia, 22.-25. September 1997. Pergamon Press Ltd., Oxford. †P82895 ga97aFTakeda.
[1383] Jeng-Sheng Huang and Hsiao-Chung Liu. Object recognition using genetic algorithms with a Hopfield’s
neural model. Expert Systems with Applications, 13(3):191–199, ? 1997. ga97aJeng-ShengHuang.
[1384] H. Kinjo, K. Nakazono, and T. Yamamoto. Pattern recognition for time series signals using recurrent
neural networks by genetic algorithms. Transactions of the Institute of System, Control, and Information
Engineers (Japan), 10(6):304–314, 1997. In Japanese †CCA71010/97 ga97aKinjo.
[1385] Evgeny Kochergov. Using the genetic algorithm and neural network to solve the person identification
problem. In Alander [2415], pages 163–172. (available via anonymous ftp site ftp.uwasa.fi directory
cs/3NWGA file Kochergov.ps.Z) ga97aKochergov.
[1386] Kuo-Chin Fan and Yuan-Kai Wang. A genetic sparse distributed memory approach to the application of handwritten character recognition. Pattern Recognition, 30(12):2015–2022, December 1997.
ga97aKuo-CFan.
[1387] Malcolm I. Hannah, Andrew T. Sapeluk, Robert I. Damper, and Ian M. Roger. Speaker verification system,
1997. (EP patent no. 0 780 830. Issued June 25 1997) ga97aMIHannah.
[1388] Nianyi Chen, Chonghe Li, and Pei Qin. Chemical pattern recognition applied to material optimal
design and industry optimization. Chin. Sci. Bull., 42(10):793–798, ? 1997.
* ChA 181311m/97
ga97aNianyiChen.
[1389] S. Hata, Y. Saitoh, and K. Kaida. Transparent object recognition using genetic algorithm. In Procedings
of the 2nd China-Japan Symposium on Mechatronics, pages 248–253, Chengdu, Peoples R China, 16.18. September 1997. Chinese Institute Electronics, Harbin. †P80518 ga97aSHata.
[1390] S. Kwong and C. W. Chau. Analysis of parallel genetic algorithms on HMM based speech recognition
system. IEEE Trans. Consum. Electron. (USA), 43(4):1229–1233, 1997. †CCA9994/98 ga97aSKwong.
[1391] Montek Singh, Amitabha Chatterjee, and Santanu Chaudhury. Matching structural shape descriptions
using genetic algorithms. Pattern Recognition, 30(9):1451–1462, September 1997. ga97aSingh.
[1392] T. Yokoo and M. Hagiwara. Human face detection method using genetic algorithm. Transactions of
the Institute of Electrical Engineers of Japan C, 117-C(9):1245–1252, 1997. In Japanese †CCA99212/97
ga97aTYokoo.
[1393] Tuan D. Pham and Hong Yan. Fusion of handwritten numeral classifiers based on fuzzy and genetic
algorithms. In Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, pages 257–262, Syracuse, NY (USA), 21.-24. September 1997. IEEE, Piscataway, NJ. †EI
M025991/98 ga97aTuanPham.
[1394] Wang Xufa, Yang Yiruo, Zhang Xiaojun, and Yang Weilai. The application of GA in pattern recognition.
Mini-Micro Syst. (China), 18(10):32–36, 1997. In Chinese †CCA9783/98 ga97aWangXufa.
[1395] Slawomir Wesolkowski and Khaled Hassanein. Comparative study of combination schemes for an ensemble
of digit recognition neural networks. In Proceedings of the 1997 IEEE International Conference on Systems,
NJ. †EI M024986/98 ga97aWesolkowski.
[1396] Yuan-Kai Wang, Kuo-Chin Fan, and Jorng-Tzong Horng. Genetic-based search for error-correcting graph
isomorphism. IEEE Transactions on Systems, Man, and Cybernetics B, Cybernetics, 27(4):588–597, 1997.
†CCA70934/97 ga97aYuan-KaiWang.
[1397] A. Suzuki, Y. Kimura, and S. Miyahara. Optimization of key character set for word recognition using
genetic algorithm. Syst. Comput. Jpn. (USA), 28(14):33–40, 1997. †CCA51332/98 ga97bASuzuki.
Bibliography
159
[1398] F. J. Aherne, P. Rockett, and N. A. Thacker. Optimising object recognition parameters using a parallel
multiobjective genetic algorithm. In Proceedings of the Second International Conference on Genetic Algorithms in engineering Systems: Innovations and Applications, pages 1–6, Glasgow, UK, 2.-4. September
1997. IEE, London, UK. †CCA1012/98 ga97bFJAherne.
[1399] Richard Myers and Edwin R. Hancock. Genetic algorithm parameter sets for line labelling. Pattern
Recognition Letters, 18(11-13):1363–1371, 1997. †CCA51182/98 ga97bRMyers.
[1400] Riccardo Poli. Parallel distributed genetic programming applied to the evolution of natural language
recognisers. In Proceedings of the Evolutionary Computing, pages 163–177, Manchester, UK, 7.-8. April
1997. Springer-Verlag, Berlin (Germany). †CCA14901/98 ga97bRPoli.
[1401] Yaodong Wang and N. Funakubo. Detection of road sign boards using equivalence gene GA. Transactions of
the Institute of Electrical Engineers of Japan C, 117-C(10):1412–1417, 1997. (In Japanese) †CCA13035/98
ga97bYaodongWang.
[1402] M. Sarkar, B. Yegnanarayana, and D. Khemani.
A clustering algorithm using an evolutionary
programming-based approach. Pattern Recognition Letters, 18(10):975–986, 1997.
†CCA18416/98
ga97cMSarkar.
[1403] P. W. M. Tsang. A genetic algorithm for affine invariant recognition of object shapes from broken boundaries. Pattern Recognition Letters, 18(7):631–639, 1997. †CCA99137/97 ga97cPWMTsang.
[1404] T. Takara and A. Hirayasu. Speech recognition using the model structure determined by the genetic
algorithm. Nonlinear Analysis-Theory Methods & Applications, 30(5):2969–2979, 1997. †CCA21709/98
ga97cTTakara.
[1405] J. Aguilar and A. Colmenares. Resolution of pattern recognition problems using a hybrid genetic/random
neural network learning algorithm. Pattern Anal. Appl. (UK), 1(1):52–61, 1998.
†CCA53592/99
ga98aAguilar.
[1406] Chuang-Chang Hung.
Genetic algorithm for constructing and tuning fuzzy logic system,
1998.
(U. S. patent no. 5,727,130. Issued March 10 1998; available via www URL:
http://appft1.uspto.gov/netahtml/PTO/search-adv.html) ga98aChuan-ChangHung.
[1407] D. R. Walt, T. Dickinson, J. White, J. Kauer, S. Johnson, H. Engelhardt, J. Sutter, and P. Jurs. Optical sensor arrays for odor recognition. Biosens. Bioelectron. (UK), 13(6):697–699, 1998. †PA31596/99
ga98aDRWalt.
[1408] D. S. Yeung, Y. T. Cheng, H. S. Fong, and F. L. Chung. Neorecognitron based handwriting recognition system performance tuning using genetic algorithm. In Proceedings of the 1998 IEEE International
Conference on systems, Man, and Cybernetics, volume 1, pages 4228–4233.
[1409] E. F. Mendes and A. C. P. Decarvalho. Target recognition using evolutionary neural networks. In Proceedings of the 5th Brazilian Symposium on Neural Networks, pages 226–231, Belo Horizont, Brazil, 9.-11. December 1998. IEEE Computer Society Press, Los Alamitos , CA. †P83276 ga98aEFMendes.
[1410] Fang Sun and Guangrui Hu. Speech recognition based on genetic algorithm for training HMM. Electronics
Letters, 34(16):1563–1564, 1998. †CCA75497/98 ga98aFangSun.
[1411] H. Handels, T. Ross, J. Kreusch, H. H. Wolff, and S. J. Poppl. A new approach for automatic recognition of
melanoma in profilometry-optimized feature selection using genetic algorithms. volume SPIE-3338, pages
684–692. Proc. SPIE - Int. Soc. Opt. Eng. (USA), 1998. †PA39618/99 ga98aHandels.
[1412] Hsiao-Chung Liu and Jeng-Sheng Huang.
Pattern recognition using evolution algorithms with
fast simulated annealing.
Pattern Recognition Letters, 19(5-6):403–413, 1998.
†CCA75113/98
ga98aHsiao-ChungLiu.
[1413] Jozsef Ludvig and Volodymyr Riznyk. Application of ideal ring bundles on the transition-radiation-tracker
algorithm. In Ošmera [2418], pages 178–179. ga98aJLudvig.
[1414] J. Yang and V. Honavar. Feature subset selection using a genetic algorithm. IEEE Intell. Syst. (USA),
13(2):44–49, 1998. †CCA42972/98 ga98aJYang.
[1415] M. Yasunaga and M. Takahashi. Logic design with evolving truth-table (LoDETT) for pattern recognition
LSIs. In Proceedings of the 1998 IEEE World Congress on Evolutionary Computation, pages 318–323,
Anchorage, AK, 4.-9. May 1998. IEEE, Piscataway, NJ. * www /IEEE ga98aMYasunaga.
[1416] M. Parizeau, N. Ghazzali, and J.-F. Herbert. Optimizing the cost matrix for approximate string matching
using genetic algorithms. Pattern Recognition, 31(4):431–440, 1998. †CCA43775/98 ga98aParizeau.
160
[1417] Rajeev Kumar and Peter Rockett. Multiobjective genetic algorithm partitioning for hierarchical learning of
high-dimensional pattern spaces: a learning-follows-decomposition strategy. IEEE Transactions on Neural
Networks, 9(5):822–830, September 1998. ga98aRKumar.
[1418] S. Kwong, Q. H. He, K. F. Man, K. S. Tang, and C. W. Chau. Parallel genetic-based hybrid pattern matching algorithm for isolated word recognition. International Journal of Pattern Recognition and Artificial
Intelligence, 12(5):573–594, August 1998. ga98aSKwong.
[1419] Shaunna McClintock, Tom Lunney, and Abdulla Hashim. A genetic algorithm environment for star pattern
recognition. Journal of Intelligent and Fuzzy Systems, 6(1):3–16, ? 1998. * http://iospress.metapress.com
ga98aSMcClintock.
[1420] R. Soodamani and Z. Q. Liu. Learning fuzzy modelling through genetic algorithm for object recognition.
In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, pages 656–659,
Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY. †CCA75347/98 ga98aSoodaman.
[1421] Takeshi Furuhashi, Kenzo Obata, Xuhua Yang, and Yoshiki Uchikawa. Signature recognition system, 1998.
(U. S. patent no. 5,825,906. Issued October 20 1998) * fi.espacenet.com ga98aTFuruhashi.
[1422] T. Maeda, K. Kamada, T. Ohkawa, N. Komoda, H. Nakamura, and Akinori Kidera. Feature-extraction of
protein folds based on secondary structure transformation. In Proceedings of the IEEE International Joint
Symposia on Intelligence and Systems, pages 158–162, Rockville, MD (USA), 21.-23. May 1998. IEEE
Computer Society Press, Los Alamitos , CA. †P80657 ga98aTMaeda.
[1423] Wu Ming, Liu Fang, and Jiao Licheng. Radar target recognition based on wavelet and evolutionary
networks. In Proceedings of the 1998 Fourth International Conference on signal Processing, volume 2, pages
1367–1369, Beijing (China), 12.-16. October 1998. IEEE, Piscataway, NJ. †CCA90428/99 ga98aWuMing.
[1424] J. Yadgari, A. Amir, and Ron Unger. Genetic algorithms for protein threading. In ?, editor, Proceedings of
the Sixth International Conference on Intelligent Systems for Molecular Biology, pages 193–202, Montreal,
Que. (Canada), 28. June-1. July 1998. AAAI, Menlo Park, CA. * CCA 66591/99 ga98aYadgari.
[1425] Yang Qian-Bang and Li Jie-Gu. Application of Voronoi graph and genetic algorithm in object recognition.
J. Infrared Millim. Waves (China), 17(5):391–396, 1998. In Chinese †PA57800/99 ga98aYangQian-Ban.
[1426] Ni Yuanping, Zou Jinhui, and Chen Ai. Improving GA-BP strategy and pattern classification. Mini-Micro
Syst. (China), 19(7):40–44, 1998. In Chinese †EEA107232/98 ga98aYuanping.
[1427] Nikhil R. Pal, Malay K. Kundu, and Suchismita Nandi. Application of a new generatic operator in feature
selection problems. In Proceedings of the 1998 IEEE International Conference TENCON’98, pages 37–40,
New Delhi (India), 17.-19. December 1998. IEEE, Piscataway, NJ. ga98bNikhilRPal.
[1428] Barry K. Lavine, Anthony J. Moores, and Lisa K. Helfend. A genetic algorithm for pattern recognition
analysis of pyrolysis gas chromatographic data. Journal of Analytical and Applied Pyrolysis, 50(1):47–62,
1999. ga99aBKLavine.
[1429] Claudio De Stefano, Antonio Della Cioppa, and Angelo Marcelli. Handwritten numeral recognition by
means of evolutionary algorithms. In Proceedings of the Fifth International Conference on Document
Analysis and Recognition, pages 804–807, Bangalore (India), 20.-22. September 1999. IEEE Computer
Society Press, Los Alamitos , CA. †CCA81755/99 ga99aCDeStefano.
[1430] Chi-Sun Joung, Dong Wook Lee, Hyo-Byung Jun, and Kwee Bo Sim. Evolution of neural network’s
structure and learning patterns based on competitive co-evolutionary method. J. Inst. Electron. Eng.
Korea S (South Korea), 36-S(1):29–37, 1999. In Korean †CCA53479/99 ga99aChiJoung.
[1431] D. Van Dyck and B. De Boeck. Global optimization as a pattern recognition problem. In Proceedings of the
International Symposium on Pattern Recognition ‘In Memoriam Pierre Devijver’, pages 201–205, Brussels,
Belgium, 12. February 1999. Royal Mil. Acad. (Brussels, Belgium). †EEA86366/99 ga99aDVanDyck.
[1432] M. Demirekler and A. Haydar. Feature selection using genetics-based algorithm and its application to
speaker identification. In Proceedings of the 1999 IEEE International Conference on Acoustics, Speech
and Signal Processing, volume 1, pages 329–332, Phoenix, AZ, 15.-19. March 1999. IEEE, Piscataway, NJ.
†CCA77756/99 ga99aDemirekler.
[1433] Ei Sakano and Naoki Takegawa. Device and method for external character register for character recognition,
1999. (JP patent no. 11184975. Issued July 9 1999) * fi.espacenet.com ga99aESakano.
[1434] Josep Maria Garrell i Guiu, E. Golobardes i Ribé, Ester Bernadó i Mansilla, and X. Llorà i Fàbrega. Automatic diagnosis with genetic algorithms and case-based reasoning. Artificial Intelligence in Engineering,
13(?):367–372, ? 1999. ga99aGarrel-Guiu.
Bibliography
161
[1435] H. Handels, T. Ross, J. Kreusch, H. H. Wolff, and S. J. Poppl. Feature selection for optimizaed skin
tumor recognition using genetic algorithms. Artificial Intelligence in Medicine, 16(3):283–297, 1999.
†CCA66660/99 ga99aHandels.
[1436] I. A. Wagner and A. M. Bruckstein. Hamiltonian(t) - an ant-inspired heuristic for recognizing Hamiltonian
graphs. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1465–
1469, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77375/99 ga99aIAWagner.
[1437] Jerry A. Burman. Hybrid pattern recognition method using evolutionary computing techniques applied
to the exploitation of hyperspectral imagery and medical spectral data. In Sebastiano B. Serpico, editor,
Image and Signal Processing for Remote Sensing V, volume SPIE-3871, pages 348–357, ?, December 1999.
The International Society for Optical Engineering. * www/SPIE Web ga99aJABurman.
[1438] J. A. Lozano and P. Larra naga. Applying genetic algorithms to search for the best hierarchical clustering
of a dataset. Pattern Recognition Letters, 20(9):911–918, 1999. †CCA99403/99 ga99aJALozano.
[1439] Jari Kangas. Prototype search for a nearest neighbor classifier by a genetic algorithm. In Proceedings of the
Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA’99),
pages 117–121, New Delhi (India), 23.-26. September 1999. IEEE Computer Society, Los Alamitos, CA.
* CCA 86625/99 ga99aJKangas.
[1440] Kyoung Min Kim, Byung Jin Lee, Kyoung Lyou, and Gwi Tae Park. Design of a binary decision tree
using the genetic algorithm and K-means algorithm for recognition of the defect patterns of cold mill strip.
In 1999 IEEE International Fuzzy Systems Conference Proceedings. FUZZ-IEEE ’99, volume 2, pages
1081–1085, Seoul, South Korea, 22.-25.August 1999. IEEE, Piscataway, NJ. * www/IEEE ga99aKMKim.
[1441] K. W. Wong and K. M. Lam. A reliable approach for human face detection using genetic algorithm. In
Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, volume 4, pages 499–502,
Orlando, FL, 30. may- 2. jun ? 1999. IEEE, New York, NY. †P85440 ga99aKWWong.
[1442] Kan Chen and Huan Liu. Towards an evolutionary algorithm: a comparison of two feature selection
algorithms. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages
1309–1313, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77372/99 ga99aKanChen.
[1443] K. Krishna and M. Narasimha Murty. Genetic k-means algorithm. IEEE Transactions on Systems, Man,
and Cybernetics, B, Cybernetics, 29(3):433–439, 1999. †CCA53303/99 ga99aKrishna.
[1444] S. Matsoukas and G. Zavaliagkos. Convolutional density estimation in hidden Markov models for speech
recognition. In Proceedings of the 1999 IEEE International Conference on Acoustics, Speech and Signal Processing, volume 1, pages 113–116, Phoenix, AZ, 15.-19. March 1999. IEEE, Piscataway, NJ. †CCA77736/99
ga99aMatsouka.
[1445] Peng-Yeng Yin. A new circle/ellipse detector using genetic algorithms. Pattern Recognition Letters,
20(7):731–740, 1999. †CCA81251/99 ga99aPeng-YengYin.
[1446] Roger A. Browse, Talib S. Hussain, and Matthew B. Smillie. Using attribute grammars for the genetic
selection of backpropagation networks for character recognition. In Applications of Artificial Neural Networks in Image Processing IV, volume SPIE-3647, pages 26–34, San Jose, CA, 28.-29. January 1999. The
International Society for Optical Engineering, Bellingham, WA. †CCA94630/99 ga99aRABrowse.
[1447] Sung-Bae Cho. Pattern recognition with neural networks combined by genetic algorithm. Fuzzy Sets and
Systems, 103(2):339–347, 16. April 1999. ga99aSung-BaeCho.
[1448] Tatyana Baidyk and Ernst Kussul. Application of genetic algorithms to optimization of neuronet
recognition devices. Cybernetics and Systems Analysis, 35(5):700–707, September-October 1999. †ISI
ga99aTNBaidyk.
[1449] Y. Shinozawa and S. Okoma. The postprocessing of character recognition by genetic algorithms. Transactions of the Information Processing Society of Japan, 40(3):1106–1116, 1999. (In Japanese) †CCA65196/99
ga99aYShinozawa.
[1450] Barry K. Lavine and Anthony J. Moores. Genetic algorithms for pattern recognition analysis and fusion
of sensor data. In Khalid JH. Siddiqui and DeLyle Eastwood, editors, Pattern Recognition, Chemometrics,
and Imaging for Optical Environmental Monitoring, volume SPIE-3854, pages 103–112, ?, December 1999.
The International Society for Optical Engineering. * www/SPIE Web ga99bBKLavine.
[1451] Claudio De Stefano, Antonio Della Cioppa, and Angelo Marcelli. Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. volume SPIE-3651, pages
64–72. Proc. SPIE - Int. soc. Opt. Eng. (USA), 1999. †CCA64247/99 ga99bCDeStefano.
162
[1452] Barry K. Lavine, Anthony J. Moores, Howard Mayfield, and Abdullah Faruque. Genetic algorithms
applied to pattern recognition analysis of high-speed gas chromatograms of aviation turbine fuels using an
integrated Jet-A/JP-8 database. Microchem. J., 61(1):69–78, ? 1999. * ChA 256299m/99 ga99cBKLavine.
[1453] Jerzy W. Bala and Harry Wechsler. Learning to detect targets using scale-space and genetic search. In
Forrest [2422], pages 516–522. ga:Bala93a.
[1454] Frank Z. Brill, Donald E. Brown, and Worthy N. Martin. Genetic algorithms for feature selection for
counterpropagation networks. Technical Report IPC-TR-90-004, University of Virginia, Institute of Parallel
Computations, Charlottesville, 1990. † ga:Brill90.
[1455] Arnold C. Englander. Machine learning of visual recognition using genetic algorithms. In Grefenstette
[2438], pages 197–201. ga:Englander85.
[1456] Stephanie Forrest, Brenda Javornik, Robert E. Smith, and Alan S. Perelson. Using genetic algorithms to
explore pattern recognition in the immune system. Evolutionary Computation, 1(3):191–211, Fall 1993. *
CA 3743 Vol. 38 No. 5/6; [2439] ga:Forrest93e.
[1457] Richard S. Forsyth. Beagle - a Darwinian approach to pattern recognition. Kybernetes, 10(3):159–166,
1981. †www /Langdon ga:Forsyth81.
[1458] Richard S. Forsyth. Neural learning algorithms: some empirical trials. In IEE Colloquium on ‘Machine
Learning’, volume IEE Digest No. 1990/?, pages 8/1–8/7, London, ? 1990. IEE, London. ga:Forsyth90a.
[1459] P. W. Frey and D. J. Slate. Letter recognition using Holland-style adaptive classifiers. Machine Learning,
6(?):161–182, 1991. † ga:Frey91.
[1460] Minoru Fukumi and Sigeru Omatu. Designing a neural network for coin recognition by a genetic algorithm.
In IJCNN’93 [2437], pages 2109–2112. ga:Fukumi93a.
[1461] John H. Holland. Adaptive algorithms for discovering and using general patterns in growing knowledgebases. International Journal of Policy Analysis and Information Systems, 4(3):245–268, 1980. †[2440]
ga:Holland80a.
[1462] Shih-Lin Hung. Neural network and genetic learning algorithms for computer-aided design and pattern
recognition. PhD thesis, The Ohio State University, 1992. * DAI 53/11 ga:HungThesis.
[1463] Harley R. Myler, Arthur R. Weeks, and Jill Laura Giles. A novel approach to aircraft silhouette recognition
using genetic algorithms. In Vibeke Libby and Ivan Kadar, editors, Signal Processing, Sensor Fusion, and
Target Recognition, volume SPIE-1699, pages 158–165, Orlando, FL, 20. -22. April 1992. The International
Society for Optical Engineering. ga:JLGiles92.
[1464] John R. Koza. Simultaneous discovery of detectors and a way of using the detectors via genetic programming. In 1993 IEEE International Conference on Neural Networks, volume III, pages 1794–1801, San
Francisco, CA, 28. March - 1. April 1993. IEEE. ga:Koza93b.
[1465] Scott Michael Le Grand. The application of the genetic algorithm to protein tertiary structure prediction.
PhD thesis, The Pennsylvania State University, 1993. * DAI 54/7 ga:LeGrandThesis.
[1466] Eric I. Chang, Richard P. Lippmann, and David W. Tong. Using genetic algorithms to select and create
features for pattern classification. In 1990 International Joint Conference on Neural Networks - IJCNN
90, volume 3, pages 747–752, San Diego, CA, 17.-21. June 1990. IEEE, New York. ga:Lippmann90a.
[1467] Eric I. Chang, Richard P. Lippmann, and David W. Tong. Using genetic algorithms to improve pattern
classification performance. In Richard P. Lippmann, J. E. Moody, and D. S. Touretzky, editors, Advances
in Neural Information Processing Systems 3. Proceedings of the 1990 Conference (NIPS-3), pages 797–803,
Denver, CO, 26.-29. November 1990. Morgan Kaufmann, Palo Alto, CA. †ACM/91 ga:Lippmann90b.
[1468] Ron Wehrens, Carlos B. Lucasius, Lutgarde M. C. Buydens, and Gerrit Kateman. Sequential assignment
of 2D-NMR spectra of proteins using genetic algorithms. Journal of Chemical Information and Computer
Sciences, 33(2):245–251, March-April 1993. ga:Lucasius93d.
[1469] Uri Mahlab, Joseph Shamir, and H. John Caulfield. Genetic algorithms for optical pattern recognition.
Optics Letters, 16(9):648–650, May 1991. ga:Mahlab91a.
[1470] Elaine J. Pettit and K. M. Swigger. An analysis of genetic-based pattern tracking and cognitive-based
component tracking models of adaptation. In ?, editor, Proceedings of the National Conference on Artificial
Intelligence (AAAI-83), pages 327–332, ?, ? 1983. Morgan Kaufman, San Mateo, CA. † ga:Pettit83.
[1471] Louis A. Tamburino and Mateen M. Rizki. Applications of hybrid learning to automated system design.
In Proceedings of the AI, Simulation and Planning in High Autonomous Systems Conference 1990, pages
176–183, Tuczon, AZ, 26.-27. March 1990. IEEE, Piscataway, NJ. * www /IEEE ga:Rizki90a.
Bibliography
163
[1472] Mateen M. Rizki, Louis A. Tamburino, and Michael A. Zmuda. Evolving multi-resolution feature detectors.
In Fogel and Atmar [2435], pages 108–118. †fogel/bib ga:Rizki93a.
[1473] Louis A. Tamburino, Michael M. Zmuda, and Mateen M. Rizki. Applying evolutionary search to pattern
recognition problems. In Fogel and Atmar [2435], pages 183–191. †fogel/bib ga:Rizki93b.
[1474] Stewart W. Wilson.
ga:SWWilson85b.
[1475] J. David Schaffer.
ga:Schaffer85b.
Adaptive ’cortical’ pattern recognition.
Learning multiclass pattern discrimination.
In Grefenstette [2438], pages 188–196.
In Grefenstette [2438], pages 74–79.
[1476] W. Siedlecki and J. Sklansky. Constrained genetic optimization via dynamic reward-penalty balancing and
its use in pattern recognition. In Schaffer [2441], pages 141–150. ga:Sklansky89b.
[1477] Irene Stadnyk. Schema recombination in pattern recognition problems. In John J. Grefenstette, editor,
Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic
Algorithms and Their Applications, pages 27–35, MIT, Cambridge, MA, 28. - 31. July 1987. Lawrence
Erlbaum Associates: Hillsdale, New Jersey. ga:Stadnyk87.
[1478] F. W. M. Stentiford. Automatic feature design for optical character recognition using an evolutionary
search procedure. IEEE Transactions on Machine Intelligence, 7(3):349–355, ? 1985. †[2436][1687]
ga:Stentiford85a.
[1479] Walter Alden Tackett. Genetic programming for feature discovery and image discrimination. In
Forrest [2422], pages 303–309.
(available via anonymous ftp site ftp.cc.utexas.edu directory
/pub/genetic-programming/papers file GP.feature.discovery.ps.Z) ga:Tackett93a.
[1480] L. Uhr and C. Vossler. A pattern-recognition program that generates, evaluates, and adjusts its own operators. In E. A. Feigenbaum and J. Feldman, editors, Computers and Thoughts, pages 251–268. McGraw-Hill,
New York, 1963. †[2436] ga:Uhr63a.
[1481] Hugo de Garis. ’compo’ conceptual clustering with connectionist competitive learning. In Proceedings of the
First IEE International Conference on Artificial Neural Networks, pages 226–232, London, 16.-18. October
1989. IEE. ga:deGaris89a.
[1482] Jarmo T. Alander. Indexed bibliography of genetic algorithms in pattern recognition. Report 94-1PATTERN, University of Vaasa, Department of Information Technology and Production Economics,
2001. (available via anonymous ftp site ftp.uwasa.fi directory cs/report94-1 file gaPATTERNbib.ps.Z)
gaPATTERNbib.
[1483] K. L. Lo and Q Yin. A hybrid system for transient stability analysis of power systems using genetic
algorithms and pattern recognition. In Proceedings of the Stockholm Power Tech International Symposium
on Electric Power Engineering, volume 5, pages 314–318, Stockholm, Sweden, 18.-22. June 1995. IEEE,
New York, NY. †CCA84536/96 ga95bLo.
[1484] Shanthamallikarjuna Shivappa Bangalore. Data analysis strategies for qualitative and quantitative determination of organic compounds by Fourier transform infrared spectroscopy (signal processing, pattern
recognition, genetic algorithms, volatile organic compounds). PhD thesis, Ohio University, 1996. (UMI No.
DA9720989) †ChA 199431k/97 ga96aSSBangalore.
[1485] Bor-Sen Chen and Jui-Chung Hung. Fixed-order H2 and H∞ optimal deconvolution filter designs. Signal
Processing, 80(2):311–331, February 2000.
[1486] E. Y. Kim, S. H. Park, and H. J. Kim. A genetic algorithm-based segmentation of Markov random field
modeled images. IEEE Signal Processing Letters, 7(11):301–303, November 2000. ga00aEYKim.
[1487] Jui-Chung Hung and Bor-Sen Chen. Genetic algorithm approach to fixed-order mixed H2 /H∞ optimal
deconvolution filter designs. IEEE Transactions on Signal Processing, 48(12):3451–3461, December 2000.
ga00aJ-CHung.
[1488] Kazuyoshi Uesaka and Masayuki Kawamata. Synthesis of low-sensitivity second-order digital filters using
genetic programming with automatically defined functions. IEEE Signal Processing Letters, 7(4):83–85,
April 2000. ga00aKUesaka.
[1489] Marcelo Venere, Hstau Liao, and Alejandro Clausse. A genetic algorithm for adaptive tomography of
elliptical objects. IEEE Signal Processing Letters, 7(7):176–178, July 2000. ga00aMVenere.
[1490] S. C. Chan, W. Liu, and K. L. Ho. Multiplierless perfect reconstruction modulated filter banks with
sum-of-powers-of-two coefficients. IEEE Signal Processing Letters, 8(6):163–166, June 2001. ga01aSCChan.
164
[1491] Sokratis K. Katsikas, Spiros D. Likothanassis, Gregory N. Beligiannis, Konstantinos G. Berketis, and
Demetrios A. Fotakis. Genetically determined variable structure multiple model estimation. IEEE Transactions on Signal Processing, 49(10):2253–2261, October 2001. ga01aSKKatsikas.
[1492] Michael Affenzeller. Segregative genetic algorithm (SEGA): A hybrid superstructure upwards compatible
to genetic algorithms for retarding premature convergence. International Journal of Computers, Systems
and Signals, 2(1):18–32, ? 2001. †Affenzeller ga01cMAffenzeller.
[1493] L. B. Jack and A. K. Nandi. Fault detection using support vector machines and artificial neural networks,
augmented by genetic algorithms. Mechanical Systems and Signal Processing, 16(2-3):373–390, ? 2002.
ga02aLBJack.
[1494] S. Kwong, Q. H. He, K. W. Ku, T. M. Chen, K. F. Man, and K. S. Tang. A genetic classification
error method for speech recognition. Signal Processing, 82(5):737–748, May 2002. * www /ScienceDirect
ga02aSKwong.
[1495] Tamal Bose, Anand Venkatachalam, and Ratchaneekorn Thamvichai. Multiplierless adaptive filtering.
Digital Signal Processing, 12(?):107–118, ? 2002. ga02aTBose.
[1496] Yonina C. Eldar and Alan V. Oppenheim. Quantum signal processing. IEEE Signal Processing Magazine,
19(6):12–32, November 2002. ga02aYCEldar.
[1497] F. J. Chen, S. Kwong, G. Wei, C. K. W. Ku, and K. F. Man. Blind linear channel estimation using
genetic algorithms and SIMO model. Signal Processing, 83(9):2021–2035, September 2003. * www /ISI
ga03FJChen.
[1498] Gianluca Pignalberi, Rita Cucchiara, Luigi Cinque, and Stefano Levialdi. Tuning range image segmentation by genetic algorithm. EURASIP Journal on Applied Signal Processing, (8):780–790, 1. July 2003.
ga03aGPignalberi.
[1499] Dah-Jye Lee, Jonathan D. Anderson, and James K. Archibald. Hardware implementation of a spline-based
genetic algorithm for embedded stereo vision sensor providing real-time visual guidance to the visually
impaired. EURASIP Journal on Advances in Signal Processing, ?(?):ID 385827, ? 2008. ga08aDah-JyeLee.
[1500] Prayoth Kumsawat, Kitti Attakitmongcol, and Arthit Srikaew. An optimal robust digital image watermarking based on genetic algorithms in multiwavelet domain. WSEAS Transactions on Signal Processing,
5(1):42–51, January 2009. †www /ACM ga09aPKumsawat.
[1501] Leehter Yao and William A. Sethares. Nonlinear parameter estimation via the genetic algorithm. IEEE
Transactions on Signal Processing, 42(4):927–935, April 1994. ga94aYao.
[1502] Sokratis K. Katsikas, Demos Tsahalis, Dimitris Manolas, and Spiros Xanthakis. A genetic algorithm
for active noise control actuator positioning. Mechanical Systems and Signal Processing, 9(6):697–705,
November 1995. †IDEAL ga95aSKKatsikas.
[1503] D. J. Xu and M. L. Daley. Design of optimal digital filter using a parallel genetic algorithm. IEEE Transactions on Circuits and Systems II, Analog Digit. Signal Process., 42(10):673–675, 1995. †CCA91908/95
ga95bDJXu.
[1504] K. S. Tang, K. F. Man, S. Kwong, and Q. He. Genetic algorithms and their applications. IEEE Signal
Processing Magazine, 13(6):22–37, November 1996. ga96aKSTang.
[1505] Roderick McConnell and Dominique Lavenier. Prototyping of VLSI components from a formal specification.
J. VLSI Signal Process, 12(2):177–186, 1996. †EI M136816/96 ga96aMcConnel.
[1506] Q. Ma and C. F. N. Cowan. Genetic algorithms applied to the adaptation of IIR filters. Signal Processing
(Netherlands), 48(2):155–163, 1996. †EEA55107/96 ga96aQMa.
[1507] S. C. Ng, S. H. Leung, C. Y. Chung, A. Luk, and W. H. Lau. The genetic search approach, A new
learning algorithm for adaptive IIR filtering. IEEE Signal Processing Magazine, 13(6):38–46, November
1996. ga96aSCNg.
[1508] Dong Hee Kang, Jongkwan Song, and Yong Hoon Lee. Analysis and optimization of subset averaged median
filters. IEEE Transactions on Signal Processing, 44(3):742–746, 1996. †EEA55065/96 ga96bDHKang.
[1509] Sathyanarayan S. Rao and Arun Ramasubrahmanyan. Design of discrete coefficient FIR filters by simulated
evolution. IEEE Signal Processing Letters, 3(5):137–140, May 1996. ga96bSSRao.
[1510] Ahmed S. Abutaleb. A genetic algorithm for the maximum likelihood estimation of the parameters of simusoids in a noisy environment. Circuits, Systems, and Signal Processing, 16(1):69–81, 1997. †EEA45848/97
ga97aAbutaleb.
Bibliography
165
[1511] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Designing texture filters with
genetic algorithms: An application to medical images. Signal Processing, 57(1):19–33, February 1997.
†EEA 79304/97 EI M182403/98 ga97aDelibasis.
[1512] Andrew G. Dempster and Malcolm D. Macleod. Comparison of fixed-point FIR digital filter design techniques. IEEE Trans Circuits Syst II Analog Digital Signal Process, 44(7):591–593, 1997. ga97aDempster.
[1513] M. Shadaydeh, Y. Xiao, and T. Tadokoro. Identification of nonminimum phase FIR systems via fourthorder cumulants and genetic algorithm. Signal Processing, 60(3):339–347, 1997.
†CCA102811/97
ga97aMShadaydeh.
[1514] Majeed A. Alkanhal and Saleh. A. Alshebeili. Blind identification of nonminimum phase FIR systems:
cumulants matching via genetic algorithms. Signal Processing, 67(1):25–34, 1998.
†CCA75591/98
ga98aAlkanhal.
[1515] K. Chellapilla and S. S. Rao. Optimization of bilinear time series models using fast evolutionary programming. IEEE Signal Processing Letters, 5(2):39–42, 1998. †CCA26353/98 ga98aChellapilla.
[1516] R. I. Levin and N. A. J. Lieven. Dynamic finite element model updating using simulated annealing
and genetic algorithms. Mechanical Systems and Signal Processing, 12(1):91–120, January 1998. †www
/IDEAL CCA60718/98 ga98aRILevin.
[1517] R. S. Bichkar and A. K. Ray. Tomographic reconstruction of circular and elliptical objects using genetic
algorithm. IEEE Signal Processing Letters, 5(10):248–251, October 1998. ga98aRSBichkar.
[1518] S. Chen and Y. Wu. Maximum likelihood joint channel and data estimation using genetic algorithms.
IEEE Transactions on Signal Processing, 46(5):1469–1473, May 1998. ga98aSChen.
[1519] Stephen P. Harris and Emmanuel C. Ifeachor. Automatic design of frequency sampling filters by hybrid
genetic algorithm techniques. IEEE Transactions on Signal Processing, 46(12):3304–3314, December 1998.
ga98aSPHarris.
[1520] Chong-Meng Samson See and Boon-Kiat Poh. Parametric sensor array calibration using measured steering
vectors of uncertain locations. IEEE Transactions on Signal Processing, 47(4):1133–1137, April 1999.
ga99aC-MSSee.
[1521] David C. Zimmerman, Keng Yap, and Timothy Hasselman. Evolutionary approach for model refinement.
Mechanical Systems and Signal Processing, 13(?):609–625, July 1999. †NASA ADS ga99aDCZimmerman.
[1522] Arthur Filippidis, L. C. Jain, and Noel M. Martin. Using genetic algorithms and neural networks for
surface land mine detection. IEEE Transactions on Signal Processing, 47(1):176–186, January 1999.
ga99aFilippidis.
[1523] K. Z. Mao and S. A. Billings. Variable selection in non-linear systems modelling. Mechanical Systems and
Signal Processing, 13(2):351–366, March 1999. †NASA ADS ga99aKZMao.
[1524] Leechter Yao. Genetic algorithm based identification of nonlinear systems by sparse Volterra filters. IEEE
Transactions on Signal Processing, 47(12):3433–3435, December 1999. ga99aLeechterYao.
[1525] Peter Stoica and Alex B. Gershman. Maximum-likelihood DOA estimation by data-supported grid search.
IEEE Signal Processing Letters, 6(10):273–275, October 1999. ga99aPStoica.
[1526] T. Kumagai, M. Wada, R. Hashimoto, and A. Utsugi. Dynamical control by recurrent neural networks through genetic algorithms. Int. J. Adapt. Control Signal Process. (UK), 13(4):261–271, 1999.
†CCA78981/99 ga99aTKumagai.
[1527] David C. Zimmerman. A Darwinian approach to the actuator number and placement problem with nonnegligible actuator mass. Mech. Syst. Signal Process. (UK), 7(4):363–374, July 1993. * CCA 11492/93
ga:DCZimmerman93b.
[1528] O. E. Holland and M. A. Snaith. Neural control of locomotion in a quadrupedal robot. IEE Proceedings F: Radar and Signal Processing, 139(6):431–436, December 1992. ga:OEHolland92a.
[1529] Anoop K. Bhattacharjya, Douglas E. Becker, and Badrinath Roysam. A genetic algorithm for intelligent
imaging from quantum-limited data. Signal Processing, 28(3):335–348, October 1992. ga:Roysam92b.
[1530] Ankit Jain and David B. Fogel. Case studies in applying fitness distributions in evolutionary algorithms:
I. Simple neural networks and gaussian mutation. In Kevin L. Priddy, Paul E. Keller, and David B. Fogel,
editors, Applications and Science of Computational Intelligence III, volume SPIE-4055, pages 168–175, ?,
March 2000. The International Society for Optical Engineering. * www/SPIE Web ga00aAJain.
166
[1531] Claudio Chamma Carvalho and Crisostomo W. A. Costa. Design of optical devices based on multilayer structures using genetic algorithms. In ?, editor, Applications and Science of Neural Networks,
Fuzzy Systems, and Evolutionary Computation III, volume SPIE-4120, pages 72–80, San Diego, CA, July
31. August 1. 2000. The International Society for Optical Engineering, Bellingham, WA. * A01-10409
ga00aCCCarvalho.
[1532] D. W. Redmill, D. R. Bull, and E. Dagless. Genetic synthesis of reduced complexity filters and filter banks
using primitive operator directed graphs. IEE Proceedings - Circuit, Devices, and Systems, 147(5):303–310,
October 2000. ga00aDWRedmill.
[1533] E. Herbert Li, Aleksandra B. Djurišić, and Nenad K. Bundaleski. Genetic algorithm for design of reflective
filters: application to Alx Ga(1−x) N-based Bragg reflectors. In Michael L. Fulton, editor, Optical and
Infrared Thin Films, volume SPIE-4094, pages 129–136, San Diego, CA, 1. August 2000. The International
Society for Optical Engineering. * www/SPIE Web ga00aEHerbertLi.
[1534] Eric Jones, Paul Runkle, Nilanjan Dasgupta, and Lawrence Carin. Signal adaptive wavelet design using
genetic algorithms. In H. H. Szu, M. Veterli, W. J. Campbell, and J. R. Buss, editors, Wavelet Applications
VII, volume SPIE-4056, pages 362–371, San Diego, CA, 26. -28. April 2000. The International Society for
Optical Engineering, Bellingham, WA. †P89473/00 ga00aEricJones.
[1535] Fabrizio Russo. Image filtering using evolutionary neural fuzzy systems. In Pal et al. [463], pages 23–43.
ga00aFRusso.
[1536] G. Tufte and P. C. Haddow. Evolving an adaptive digital filter. In J. Lohn, A. Stoica, D. Keymeulen, and
S. Colombano, editors, The second NASA/DoD Workshop on Evolvable Hardware. Proceedings, volume ?,
pages 143–150, Palo Alto, CA, USA, 13.-15.July 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aGTufte.
[1537] Gunnar Tufte and Pauline C. Haddow. Evolving an adaptive digital filter. In Jason Lohn, Adrian Stoica, Didier Keymeulen, and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvanle Hardware, pages 143–150, Palo Alto, CA, 13.-15. July 2000. IEEE Computer Society.
ga00aGunnarTufte.
[1538] H. C. Lu and S. T. Tzeng. Genetic algorithm approach for designing arbitrary FIR log filters. In IEEE
International Symposium on Circuits and Systems (ISCAS 2000), volume II, pages 333–336, Geneva,
Switzerland, 28.-31.May 2000. IEEE, New York. †P89868 ga00aHCLu.
[1539] Jie Wanf, Lei Yin, and Wei Hong. Accurate optimization design of millimeter wave diplexers. Journal of
Infrared and Millimeter Waves, 19(4):297–301, August 2000. †A01-21809 ga00aJieWang.
[1540] Karen Lewis Hirsch, Steven P. Brumby, Neal R. Harvey, and Anthony B. Davis. The MTI dense-cloud mask
algorithm compared to a cloud mask evolved by a genetic algorithm and the to the MODIS cloud mask. In
?, editor, Imaging Spectrometry VI, volume SPIE-4132, pages 230–237, San Diego, CA, 31. July-2. August
2000. The International Society for Optical Engineering, Bellingham, WA. * A01-18541 ga00aKLHirsch.
[1541] M. K. Lee, S. W. Leung, T. L. Pun, H. L. Cheung, and Alex M. K. Lee. Edge detection by genetic
algorithm. In Proceedings of the 2000 International Conference on Image Processing, volume 1, pages
478–480, Vancouver, BC (Canada), 10.-13. September 2000. IEEE, Piscataway, NJ. ga00aMKLee.
[1542] M. Lecouve, P. Jarry, E. Kerherve, N. Boutheiller, and F. Marc. Genetic algorithm optimization for
evanescent mode wave-guide filter design. In IEEE International Symposium on Circuits and Systems.
ISCAS 2000, volume III, pages 411–414, Geneva, Switzerland, 28.-31.May 2000. IEEE, New York. †P89869
ga00aMLecouve.
[1543] N. Kasabov and G. Iliev. Hybrid system for robust recognition of noisy speech-based on evolving fuzzy
neural networks and adaptive filtering. In S. Amari, C. L. Giles, M. Gori, and V. Piuri, editors, Proceedings
of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, volume 5, pages 91–96,
Como, Italy, 24.-27.July 2000. IEEE Computer Soc., Los Alamitos. †P90182 ga00aNKasabov.
[1544] Pieter L. Swart, Abraham P. Kotzé, and Beatrys M. Lacquet. Effects of the nature of the starting
population on the properties of rugate filters designed with the genetic algorithm. Journal of Lightwave
Technology, 18(6):853–859, June 2000. ga00aPLSwart.
[1545] Rafal Kotyński and Katarzyna Chalasińska-Macukow. BPOF composite filter optimized with a genetic
algorithm. Optica Applicata, 30(2-3):303–316, ? 2000. †www /OA ga00aRafalKotynski.
[1546] Sourav Chahravarty and Raj Mittra. Design of microwave filters using a binary coded genetic algorithm.
In IEEE International Symposium on Antennas and Propagation Society, volume 1, pages 144–147, Salt
Lake City, UT, USA, 16.-21. July 2000. IEEE, Piscataway, NJ. ga00aSChahravarty.
Bibliography
167
[1547] Stuart J. Flockton and Kevin Sheehan. Behaviour of a building block for intrinsic evolution of analogue
signal shaping and filter circuits. In Jason Lohn, Adrian Stoica, Didier Keymeulen, and Silvano Colombano,
editors, Proceedings of the Second NASA/DoD Workshop on Evolvanle Hardware, pages 117–123, Palo Alto,
CA, 13.-15. July 2000. IEEE Computer Society. ga00aSJFlockton.
[1548] Jarno M. A. Tanskanen. Polynomial predictive filters: Implementation and Applications. PhD thesis,
Helsinki University of Technology, Institute of Intelligent Power Electronics, 2000. ga00aTanskanen.
[1549] Todd A. Ely, Robert H. Bishop, and Timothy P. Crain. Adaptive interplanetary navigation using genetic algorithm. Journal of the Astronautical Sciences, 48(2,3):287–303, September 2000. * A01-29730
ga00aToddAEly.
[1550] Petri Välisuo. Finite word length recursive digital filter optimization with genetic algorithm. In Heikki
Hyötyniemi, editor, STeP-2000 — Millennium of Artificial Intelligence, ’AI of Today’: Symposium on Applications, Proceedings of the 9th Finnish Artificial Intelligence Conference, pages 17–22, Espoo (Finland),
28.-30. August 2000. Finnish Artificial Intelligence Society (FAIS). ga00aValisuo.
[1551] Zhiqian Weng, Guanrong Chen, Leang S. Shieh, and Johan Larsson. Evolutionary programming Kalman
filter. Information Sciences, 129(1-4):197–210, November 2000. ga00aZhiqianWeng.
[1552] Fabrizio Russo. Noise removal from image data using recursive neurofuzzy filters. IEEE Transactions on
Instrumentation and Measurement, 49(2):307–314, April 2000. ga00bFRusso.
[1553] Toshihiro Kikuchi, Toshihiro Someno, Toshio Hirai, Yoshiyuki Kawazoe, and Hiroshi Mizuseki. Manufacture of multilayer film filter utilizing genetic algorithm, 2000. (JP patent no. 2000347025. Issued December
15 2000) * fi.espacenet.com ga00bToshihiroKikuchi.
[1554] Vitorino Ramos and Fernando Muge. On image filtering, noise and morphological size intensity diagrams.
In Aurélio C. Campilho and A. M. Mendonça, editors, RecPad’2000, 11th Portuguese Conference on
Pattern Recognition, pages 483–491, Porto (Portugal), 11.-12. May 2000. ? ga00dVitorinoRamos.
[1555] Asako Hashimoto, Junko Nakatsu, and Matsui Hiroshi. Design method for optical thin film and design
device for optical film, 2001. (JP patent no. 2001249953. Issued September 14 2001) * fi.espacenet.com
ga01aAHashimoto.
[1556] K. Uesaka and M. Kawamata. Heuristic synthesis of flow coefficient sensitivity second-order digital filters
using genetic programming. IEE Proceedings - Circuits, Devices, and Systems, 148(3):121–125, June 2001.
ga01aKUesaka.
[1557] Massimiliano Erba, Roberto Rossi, Valentino Liberali, and Andrea G. B. Tettamanzi. Digital filter design
through simulated evolution. In Veikko Porra, Martti Valtonen, Iiro Hartimo, Olli Simula, and Timo
Veijola, editors, Proceedings of the 15th European Conference on Circuit Theory and Design, ECCTD’01,
volume II, pages 137–140, Espoo (Finland), 28.-31. August 2001. Helsinki University of Technology, Department of Electrical and Communications Engineering, Electronic Circuit Design Laboratory, Report
33. ga01aMErba.
[1558] M. Thompson and J. K. Fidler. Applications of the genetic algorithm and simulated annealing to LC filter
tuning. IEE Proceedings - Circuits, Devices and Systems, 148(4):177–182, August 2001. ga01aMThompson.
[1559] Meng Liang, Qiang Fang, and Yong Wang. Fiber Bragg grating filter synthesis using the genetic algorithm. In Jian Liu and Zhigong Wang, editors, Fiber Optics and Optoelectronics for Network Applications,
volume SPIE-4603, pages 228–232, ?, October 2001. The International Society for Optical Engineering. *
www/SPIE Web ga01aMengLiang.
[1560] Philip D. Stroud. Kalman-extended genetic algorithm for search in nonstationary environments with
noisy fitness evaluations. IEEE Transactions on Evolutionary Computation, 5(1):66–77, February 2001.
ga01aPDStroud.
[1561] S. Pai. Global optimization techniques for iir phase equalizers. Master’s thesis, Penn State University,
Department of Electrical Engineering, 2001. †[1585] ga01aSPai.
[1562] Toshihiro Kikuchi and Toshio Hirai. Operation method for genetic algorithm and method for manufacturing
multi-layer film light filter using the same, 2001. (JP patent no. 2001195380. Issued July 19 2001) *
fi.espacenet.com ga01aToshihiroKikuchi.
[1563] Wolfgang Pölzleitner. Defect detection on wooden surface using Gabor filters with evolutional algorithm design. In Proceedings. IJCNN ’01. International Joint Conference on Neural Networks, volume 1, pages 750–
755, Washington, DC, USA, 15.-19.July 2001. IEEE, Piscataway, NJ. * www/IEEE ga01aWPolzleitner.
168
[1564] Yukun Bai, Aleksandra B. Djurišić, Weiling Guo, and E. Hebert Li. Design of reflective filters based on
organic materials using genetic algorithms. In Bernhard Kippelen and Donal D. Bradley, editors, Organic
Photonic Materials and Devices III, volume SPIE-4279, pages 132–139, ?, June 2001. The International
Society for Optical Engineering. * www/SPIE Web ga01aYBai.
[1565] Y. Yuan, C. H. Chan, K. F. Man, and Raj Mittra. A genetic algorithm approach to FSS filter design.
In 2001 IEEE International Symposium on Antennas and Propagation Society, volume 4, pages 688–691,
Boston, MA, USA, 8.-13. July 2001. IEEE, Piscataway, NJ. ga01aYYuan.
[1566] Zhongren Liu and Sheng-He Sun. Multichannel image filter based on FNN. In Qingxi Tong, Taoting Zhu,
and Zhenfu Zhu, editors, Multispectral and Hyperspectral Image Acquisition and Processing, volume SPIE4548, pages 167–172, ?, September 2001. The International Society for Optical Engineering. * www/SPIE
Web ga01aZLiu.
[1567] Zeke S. H. Chan, H. W. Ngan, Y. F. Fung, and A. B. Rad. An advanced evolutionary algorithm for
parameter estimation of the discrete Kalman filter. Computer Physics Communications, 142(1-3):248–254,
15. December 2001. †www /Elsevier ga01aZSHChan.
[1568] Massimiliano Erba, Roberto Rossi, Valentino Liberali, and Andrea G. B. Tettamanzi. An evolutionary
approach to automatic generation of VHDL code for low-power digital filters. In J. Miller, M. Tomassini,
P. L. Lanzi, C. Ryan, A. G. B. Tetamanzi, and W. B. Langdon, editors, Genetic Programming, 4th European
Conference, EuroGP 2001, volume LNCS of 2038, pages 36–50, Lake Como (Italy), 18.-20. April 2001.
Springer-Verlag Berlin Heidelberg. * www /Springer ga01bMErba.
[1569] Yukun Bai, Aleksandra B. Djurišić, and E. Hebert Li. Genetic-algorithm-based method for the design
reflective filters employing organic materials. In S. K. Lahiri, Ranjan Gangopadhyay, Asit K. Datta,
Samit K. Ray, B. K. Mathur, and S. Das, editors, Photonics 2000: International Conference on Fiber
Optics and Photonics, volume SPIE-4417, pages 382–389, ?, September 2001. The International Society
for Optical Engineering. * www/SPIE Web ga01bYBai.
[1570] Timo Mantere and Jarmo T. Alander. Automatic test image generation by genetic algorithms for testing
halftoning methods – comparing results using wavelet filtering. In Jarno M. A. Tanskanen and Jarno
Martikainen, editors, Proceedings of the 2001 Finnish Signal Processing Symposium, FINSIG’01, pages 55–
58, Espoo (Finland), 5. June 2001. Helsinki University of Terchnology, Faculty of Electrical Engineering.
ga01cMantere.
[1571] Toshihiro Kikuchi, Yoshihiro Someno, Toshio Hirai, Yoshiyuki Kawazoe, and Mizuseki Hiroshi. A method
for producing multilayered optical filters, comprising a method for operating a genetic algorithm, 2001.
(EP patent no. 1 092 992. Issued April 18 2001) ga01cToshihiroKikuchi.
[1572] Hisashi Tamaki, Hajime Murao, Shige Furuta, and Shinzo Kitamura. Emergent design of passive filter
circuit - a case of using multi-objective genetic programming. pages 103–108, 2002. ga02aHisashiTamaki.
[1573] Lukáš Sekanina. Evolution of digital circuits operating as image filters in dynamically changing environment. pages 33–38, 2002. ga02aLSekanina.
[1574] M. El-Habrouk and M. K. Darwish. A new control technique for active power filters using a combined genetic algorithm/conventional analysis. IEEE Transactions on Industrial Electronics, 49(1):58–66, February
2002. ga02aMEl-Habrouk.
[1575] M. I. Quintana, Riccardo Poli, and Ela Claridge. Genetic programming for mathematical morphology
algorithm design on binary images. In M. Sasikumar etal, editor, Artificial Intelligence, Proceedings of the
International Conference KBCS-2002, pages 161–170, ?, ? ?
[1576] Oleg Billert and Liviu Singher. Adaptive multiple filtering. Optical Engineering, 41(1):55–68, January
2002. †www/SPIE Web ga02aOBillert.
[1577] V. Prabhu, B. S. Panwar, and A. Priyanka. Linkage learning genetic algorithm for the design of witdrawal
weighted SAW filters. In Proceedings of the 2002 IEEE Ultrasound Symposium, volume 1, pages 357–360,
?, 8.-11. October 2002. IEEE, Piscataway, NJ. ga02aVPrabhu.
[1578] Ela Claridge and Steve J. Preece. An inverse method for the recovery of tissue parameter from color
images. In C. Taylor and J. A. Noble, editors, Information Processing in Medical Imaging (IPMI), volume
2732 of Lecture Notes in Computer Science, pages 306–317, ?, ? Springer-Verlag, Heidelberg.
[1579] Gexiang Zhang, Yajun Gu, Laizhao Hu, and Weidong Jin. A novel genetic algorithm and its application
to digital filter design. In Proceedings of the 2003 IEEE Congress on Intelligent Transportation Systems,
volume 2, pages 1600–1605, ?, 12.-15. October 2003. IEEE, Piscataway, NJ. ga03aGexiangZhang.
Bibliography
169
[1580] H. Emam, M. A. Ahour, H. Fekry, and A. M. Wahdan. Introducing an FPGA based - genetic algorithms
in the applications of blind signal separation. In Proceedings of the 3rd IEEE International Workshop on
System-on-Chip for Real-Time Applications, pages 123–127, ?, 30. June- 2. July 2003. IEEE, Piscataway,
NJ. ga03aHEmam.
[1581] In Ja Jeon, Boung Mo Choi, and Phill Kyu Rhee. Evolutionary reconfigurable architecture for robust face
recognition. In Proceedings of the International Parallel and Distributed Processing Symposium, pages –,
?, 22.-26. April 2003. IEEE, Piscataway, NJ. ga03aInJaJeon.
[1582] Jeongheum Lee and Hyeongdong Kim. Thin-film bulk acoustic resonator RF bandpass filter design technique using genetic algorithm. Electronics Letters, 39(5):444–445, 6. March 2003. ga03aJeongheumLee.
[1583] Mahmoud S. Hamid, Neal R. Harvey, and Stephen Marshall. Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration. IEEE Transactions
on Circuits and Systems for Video Technology, 13(5):406–416, May 2003. ga03aMSHamid.
[1584] Reid Porter, Neal Harvey, Simon Perkins, James Theiler, Steven Brumby, Jeffrey Bloch, Maya Gokhale, and
John Szymanski. Optimizing digital hardware perceptrons for mult-spectral image classification. Journal
of Mathematical Imaging and Vision, 19(2):133–150, 2003. ga03aReidPorter.
[1585] S. Pai, W. K. Jenkins, and D. J. Krusienski. Adaptive IIR phase equalizers based on stochastic search
algorithms. In Proceedings of the 37th Asilomar Conference on Signals, Systems, and Computers, volume 1,
pages 652–656, ?, 9.-12. November 2003. IEEE, Piscataway, NJ. ga03aSPai.
[1586] Gexiang Zhang, Weidong Jin, and Laizhao Hu. A novel quantum genetic algorithm. In Proceedings of the
2003 IEEE Iternational Conference on Parallel and Distributed Computing, Applications and Technologies,
PDCAT, pages 1600–1605, ?, 27.-29. August 2003. IEEE, Piscataway, NJ. ga03bGexiangZhang.
[1587] Mahmoud S. Hamid and Stephen Marshall. FPGA realisation of the genetic algorithm for the design of
gray-scale soft morphological filters. In Proceedings of the 200 IEEE International Conference on, volume ?,
pages 141–144. IEEE, Piscataway, NJ, ? 2003. ga03bMSHamid.
[1588] Gexiang Zhang, Weidong Jin, and Fan Jin. Multi-criterion satisfactory optimization method for designing
IIR digital filters. In Proceedings of the 2003 IEEE International Conference on Communication Technology, volume 2, pages 1484–1490, ?, 9.-11. April 2003. IEEE, Piscataway, NJ. ga03cGexiangZhang.
[1589] Gexiang Zhang, Heng Liu, Weidong Jin, and Laizhao Hu. Multi-criterion satisfactory optimization method
for designing FIR digital filters. In Proceedings of the 2003 IEEE Iternational Conference on Robotics,
Intelligent Systems and Signal Processing, pages 1339–1344, ?, 8.-13. October 2003. IEEE, Piscataway, NJ.
ga03dGexiangZhang.
[1590] Timo Mantere. Generating test images and halftoning filters with co-evolutionary GA. In Nikos Mastorakis,
Meng Joo Er, and B. V. Dasarathy abd Qingguo Pu, editors, Proceedings of the 2nd International Conference on Electronics, Control & Signal Processing and E-Activities, page ?, Singapore, 7. -9. December
2003. World Scientific and Engineering Academy and Society. ga03eMantere.
[1591] B. I. Hounsell, T. Arslan, and R. Thomson. Evolutionary design and adaptation of high performance digital
filters within an embedded reconfigurable fault tolerant hardware platform. Soft Computing, 8(?):307–317,
? 2004. ga04aBIHounsell.
[1592] D. J. Krusienski and W. K. Jenkins. The application of particle swarm optimization to adaptive IIR
phase equalization. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP’04), volume 2, pages II–693–II–696, ?, 17.-21. May 2004. IEEE, Piscataway, NJ.
ga04aDJKrusienski.
[1593] Lucia Ballerini and L. Franzén. Genetic optimization of morhological filters with application in breast
cancer detection. In Raidl et al, editor, Applications of Evolutionary Computing, volume 3005 of
LNCS, pages 250–259, Coimbra (Portugal), 5.-7. April 2004. Springer-Verlag, Berlin. †www /Ballerini
ga04aLBallerini.
[1594] Jeremy A. Bossard, Douglas H. Werner, Theresa S. Mayer, Jacob A. Smith, Yan U. Tang, Robert P. Drupp,
and Ling Li. The design and fabrication of planar multiband metallodielectric frequency selective surfaces
for infrared applications. IEEE Transactions on Antennas and Propagation, 54(4):1265–1276, April 2006.
ga06aJABossard.
[1595] P. Stubberud and G. Lull. Design of bandpass delta sigma modulators using differential evolution. In
J. N. Hwang, editor, Signal and Image Processing (SIP 2006), page ?, Honolulu, HI, 14. - 16. August 2006.
IASTED. †www /Google ga06aPStubberud.
170
[1596] Mohammed Al-Rawi and Huda Karajeh. Genetic algorithm matched filter optimization for automated
detection of blood vessels from digital retinal images. Computer Methods and Programs in Biomedicine,
87(3):248–253, ? 2007. ga07aMAl-Rawi.
[1597] Sabbir U. Ahmad. Design of Digital Filters Using Genetic Algorithms. PhD thesis, University of Victoria,
Department of Electrical and Computer Engineering, 2008. ga08aSabbirUAhmad.
[1598] Abhijit Mustafi and P. K. Mahanti. An optimal algorithm for contrast enhancement of dark images using
genetic algorithms. In ?, editor, Computer and Information Science 2009, volume 208 of Studies in Computational Intelligence, pages 1–8, ?, ? 2009. Springer-Verlag, Heidelberg. †www /Springer ga09aAMustafi.
[1599] David L. Calloway. Constructing an optimal binary phase-only filter using a genetic algorithm. In Bahram
Javidi, editor, Optical Information Processing Systems and Architectures III, volume SPIE-1564, pages
395–402, ?, November 1991. The International Society for Optical Engineering.
* www/SPIE Web
ga91aDLCalloway.
[1600] Louis A. Tamburino, Mateen M. Rizki, and Michael A. Zmuda. Feature extraction using morphological
analysis of multiresolution gray-scale. In Vibeke Libby and Ivan Kadar, editors, Signal Processing, Sensor
Fusion, and Target Recognition, volume SPIE-1699, pages 385–397, ?, July 1992. The International Society
for Optical Engineering. * www/SPIE Web ga92aLATamburino.
[1601] Michel P. Lazarov, R. Sizmann, and Ulrich Frei. Optimization of SiO2 -TiNx Oy -Cu interference absorbers:
numerical and experimental results. In Carl M. Lambert, editor, Optical Materials Technology for Energy
Efficiency and Solar Energy Conversion XII, volume SPIE-2017, pages 345–356, ?, October 1993. The
International Society for Optical Engineering. * www/SPIE Web ga93aMPLazarov.
[1602] A. Roberts and G. Wade. Optimization of finite wordlength filters using a genetic algorithm. In ?, editor,
Proceedings of Adaptive Computing in Engineering Design and Control, page ?, University of Plymouth
(UK), 21.-22. September 1994. ? †Plymouth ga94aARoberts.
[1603] Naufel Ayachi. Optimierung digitaler filter mit genetischen algorithmen. Diplomarbeit, Universität
Erlangen-Nürnberg, Lehrstuhl für Nachrichtentechnik, 1994. †Schwehm ga94aAyachi.
[1604] Michael E. Bullock, David L. Wang, Scott R. Fairchild, and Tim J. Patterson. Automated training of 3D
morphology algorithm for object recognition. In F. A. Sadjadi, editor, Automated Object Recognition IV,
volume SPIE-2234, pages 238–251, Orlando, FL, 6. -7. April 1994. The International Society for Optical
Engineering. * EI M100326/95 ga94aBullock.
[1605] Dexiang Xu. Optimization of FIR digital filters using a real parameter parallel genetic algorithm and
implementations. PhD thesis, The University of Memphis, 1994. ? †NASA ADS ga94aDXu.
[1606] R. Ehrhardt. Morphological filter design with genetic algorithms. In E. R. Dougherty, P. D. Gader, and
M. Schmitt, editors, Image Algebra and Morphological Image Processing V, volume SPIE-2300, pages 2–12,
San Diego, CA, 25.-26. July 1994. The International Society for Optical Engineering. * CCA 80461/94
P62619/94 ga94aEhrhardt.
[1607] P. Gentili, F. Piazza, and A. Uncini. Evolutionary design of FIR digital filters with power-of-two coefficients.
In ICEC’94 [2405], pages 110–114. ga94aGentili.
[1608] Horst Greiner. Robust filter design by stochastic optimization. In Florin Abeles, editor, Optical Interference
Coatings, volume SPIE-2253, pages 150–160, ?, November 1994. The International Society for Optical
Engineering. * www/SPIE Web ga94aHGreiner.
[1609] Hanqing Q. Yang and Gill G. Richards. Optimum distribution-system harmonic filter design using a
genetic algorithm. Electric Power Systems Research, 30(3):263–268, 1994. (Proceedings of the 3rd Biennial
Symposium on Industrial Electric Power Applications, New Orleans, LA, Nov. 12.-13., 1992) * P63483/95
EI M040388/95 ga94aHQYang.
[1610] D. H. Horrocks and Y. M. A. Khalifa. Genetically derived filter circuits using preferred value components.
In IEE Colloquium on ‘Analogue Signal Processing’, volume IEE Digest No. 1994/185, pages 4/1–4/5,
London, 13. October 1994. IEE, London. * ga94aHorrocks.
[1611] Heikki Huttunen, Pauli Kuosmanen, L. Koskinen, and Jaakko Astola. Optimization of soft morphological
filters by genetic algorithms. In Edward R. Dougherty, Paul D. Gader, and Michel Schmitt, editors,
Image Algebra and Morphological Image Processing V, volume SPIE-2300, pages 13–24, San Diego, CA,
25.-26. July 1994. The International Society for Optical Engineering. ga94aHuttunen.
[1612] A. J. Katz and P. R. Thrift. Generating image filters for target recognition by genetic learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(9):906–910, September 1994. * EI M011472/95
CCA 76047/94 ga94aKatz.
Bibliography
171
[1613] M. Kawamata, J. Imakubo, and T. Higuchi. Optimal design method of 2-D IIR digital filters based on a
simple genetic algorithm. In Proceedings of the IEEE International Conference on Image Processing, pages
780–784, ?, ? 1994. IEEE, New York. †[?] ga94aKawamata.
[1614] Michael S. White and Stuart J. Flockton. A genetic adaptive algorithm for data equalization. In ICEC’94
[2405], pages 665–669. ga94aMSWhite.
[1615] S. Martin, J. Rivory, and Marc Schoenauer. Simulated Darwinian evolution of homogenous multilayer
systems: A new method for optical coatings design. Optics Communications, 110(5-6):503–506, September
1994. ga94aMartin.
[1616] N. R. Harvey and S. Marshall. Using genetic algorithms in the design of morphological filters. In J. Serra
and P. Soille, editors, Mathematical Morphology and its Application to Image Processing, pages 37–44.
Kluwer, 1994. †[1686] ga94aNRHarvey.
[1617] Howard Oakley. Advances in genetic programming. In Kinnear, Jr. [2406], chapter 17. Two scientific
applications of genetic programming: Stack filters and non-linear equation fitting to chaotic data, pages
369–389. †cessu ga94aOakley.
[1618] K. Rabinovitch and G. Toker. Genetic algorithm and thin-film design. In J. D. Rancourt, editor, Optical
Thin-Films IV: New Developments, volume SPIE-2262, pages 163–175, San Diego, CA, 25. -27. July 1994.
The International Society for Optical Engineering. †P63354/95 ga94aRabinovitch.
[1619] H. Sakanashi, Keiji Suzuki, and Yukinori Kakazu. Controlling dynamics of GA through filtered evaluation
function. In Yuval Davidor, Hans-Paul Schwefel, and Reinhard Manner, editors, Parallel Problem Solving
from Nature – PPSN III, volume 866 of Lecture Notes in Computer Science, page ?, Jerusalem (Israel),
9.-14. October 1994. Springer-Verlag, Berlin. †conf. prog. ga94aSakanashi.
[1620] C. T. Wangler and C. H. Hansen. Genetic algorithm adaptation of nonlinear filter structures for active
sound and vibration control. In Proceedings of the 1994 IEEE International Conference on Acoustics,
Speech and Signal Processing (ICASSP-94), volume 3-D, pages 505–508, Adelaide (Australia), 19.-22. April
1994. IEEE, New York. †P64573/95 ga94aWangler.
[1621] R. Caponetto, L. Fortuna, and C. Vinci. Design of fuzzy filters by genetic algorithms. In Proceedings of
the 1994 IEEE International Symposium on Circuits & Systems, volume 5, pages 177–180, London (UK),
30. May-2. June 1994. IEEE, Piscataway, NJ. * EI M003826/95 ga94bCaponetto.
[1622] R. Cemes and D. Ait-Boudaoud. A MATLAB based development tool for multiplier-less filter design using
genetic algorithm. In Proceedings of the 5th International Conference on Signal Processing Applications and
Technology, volume 1, pages 408–413, Dallas, TX (USA), 18.-21. October 1994. DSP Associates, Waltham,
MA. †EEA83243/96 ga94bCemes.
[1623] Masayuki Kawamata, Jun Imakubo, and Tatsuo Higuchi. Optimal design method of 2-D IIR digital
filters based on a simple genetic algorithm. In Proceedings of the ICIP-94, volume 1, pages 780–784,
Austin, TX, 13.-16. November 1994. IEEE Computer Society Press, Los Alamitos , CA. * EEA58726/95
ga94bKawamata.
[1624] Michael S. White and Stuart J. Flockton. Genetic algorithms for digital signal processing. In Terence C.
Fogarty, editor, Evolutionary Computing. Selected Papers of the AISB Workshop, pages 291–303, Leeds
(UK), 11.-14. April 1994. Springer-Verlag, Berlin. * CCA 15174/95 ga94bMSWhite.
[1625] Janne Mäntykoski and Jarkko Vuori. Non-linear filter design using genetic algorithm. In Alander
[2442], pages 89–95. (available via anonymous ftp site ftp.uwasa.fi directory cs/report94-2 file
Mantykoski.ps.Z) ga94bMantykoski.
[1626] Q. H. Wu and R. J. Chen. Evolutionary search for optimal parameters of matched filters in IR search
systems. In Da-Heng Wang, Anna Consortini, and James B. Breckinridge, editors, Second International
Conference on Optoelectronic Science and Engineering ’94, volume SPIE-2321, pages 377–380, ?, August
1994. The International Society for Optical Engineering. * www/SPIE Web ga94bQHWu.
[1627] H. Sakanashi and Yukinori Kakazu. Co-evolving genetic algorithm with filtered evaluation function. In
1994 IEEE Symposium on Emerging Technologies and Factory Automation., pages 454–457, Tokyo (Japan),
6.-10. November 1994. IEEE New York. †CCA 44131/95 ga94bSakanashi.
[1628] G. Wade and A. Roberts. Ordering of cascade FIR filter structures. Electronics Letters, 30(17):1393–1394,
18. September 1994. * EI M003834/95 ga94bWade.
[1629] David R. Bull and Alexis Aladjidi. The optimization of multiplier-free directed-graphs – an approach using
genetic algorithms. In Proceedings of the 1994 IEEE International Symposium on Circuits and Systems,
volume 2, pages B197–B200, London (UK), 30. May- 2. June 1994. IEEE, New York. * EI M014181/95
P63815/94 ga94dDRBull.
172
[1630] Colin R. Reeves, Nigel C. Steele, and J. Liu. Tabu search and genetic algorithms for analogue filter design.
In ?, editor, Proceedings of the Conference on Adaptive Computing in Engineering Design and Control,
page ?, Plymouth (UK), 21.-22. September 1994. ? †Reeves ga94fReeves.
[1631] D. Ait-Boudaoud, R. Cemes, and S. Holloway. Evolutionary adaptive filtering. In Pearson et al. [2409],
pages 269–272. ga95aAit-Boudaoud.
[1632] Yoshihiro Aketa, Miki Haseyama, Hideo Kitajima, and N.Nagai. A method for quantized coefficients of
a filter with genetic algorithm. IEICE Transactions on Fundamentals, E78-A(12):1542–1549, December
1995. †[1673] ga95aAketa.
[1633] T. Arslan and David H. Horrocks. A genetic algorithm for the design of finite word length arbitrary
response cascaded IIR digital filters. In IEE/IEEE Sheffield ’95 [2427], pages 276–281. ga95aArslan.
[1634] C. Y. Chung, S. H. Leung, S. C. Ng, and A. Luk. Evolutionary variable step-size algorithm for adaptive
filtering. In ICEC’95 [2411], pages 663–667. †prog. ga95aChung.
[1635] Dan Simon and Hossny El-Sherief. Fuzzy logic for digital phase-locked loop filter design. IEEE Transactions
on Fuzzy Systems, 3(2):211–218, May 1995. ga95aDSimon.
[1636] R. Ghazi, H. A. Toliyat, and S. M. R. Raffiei. A fuzzy-genetic pulsewidth modulation for active power
filters. In Stockholm Power Tech International Symposium on Electric Power Engineering, volume 2, pages
267–272, Stockholm (Sweden), 18.-22. June 1995. IEEE, New York, NY. * EEA 91658/96 ga95aGhazi.
[1637] Stephen P. Harris and Emmanuel C. Ifeachor. Automating IIR filter design by genetic algorithm. In
IEE/IEEE Sheffield ’95 [2427], pages 271–275. †conf.prog ga95aHarris.
[1638] D. H. Horrocks, N. Karaboğa, and M. Alçi. Rounding FIR filter coefficients using genetic algorithms. In
Pearson et al. [2409], pages 265–268. ga95aHorrocks.
[1639] Heikki Huttunen, Pertti Koivisto, Pauli Kuosmanen, and Jaakko Astola. Design of soft morphological filters
by genetic learning. In Alander [2443], pages 215–228. (available via anonymous ftp site ftp.uwasa.fi
directory cs/1NWGA file Huttunen.ps.Z) ga95aHuttunen.
[1640] N. Karaboga, D. H. Horrocks, D. Karaboga, and M. Alci. Design of FIR filters using genetic algorithms.
In Proceedings of the 12th European Conference on Circuits Theory and Design, volume 1, pages 553–
556, Istanbul (Turkey), 27.-31. August 1995. Istanbul Tech. Univ. (Isatanbul, Turkey). †CCA37751/98
ga95aKaraboga.
[1641] Masayuki Kawamata, Jun Imakubo, and Tatsuo Higuchi. Optimal design method of separable-denominator
two-dimensional digital filters based on a genetic algorithm. Transaction of the Institute of Electronics,
Information and Communication Engineers A (Japan), J78-A(2):132–140, February 1995. (in Japanese)
* EEA 21432/95 ga95aKawamata.
[1642] Pertti Koivisto, Heikki Huttunen, and Pauli Kuosmanen. Optimal compositions of soft morphological
filters. In ?, editor, Nonlinear Image Processing VI, volume SPIE-2424, pages 16–27, San Jose, CA, ? 1995.
The International Society for Optical Engineering, Bellingham, WA. * EI M134444/96 ga95aKoivisto.
[1643] P. Kraft, S. Marshall, J. J. Soraghan, and N. R. Harvey. Parallel genetic algorithms for optimizing
morphological filters. In ?, editor, Proceedings of the Fifth International Conference on Image Processing
and Its Applications, pages 762–766, Edinburgh (UK), July 1995. ? †[1686] ga95aKraft.
[1644] Eric Michielssen and Daniel S. Weile. Electromagnetic system design using genetic algorithms. In G. Winter, J. Périaux, M. Galán, and P. Cuesta, editors, Genetic Algorithms in Engineering and Computer
Science (EUROGEN95), pages 345–369, Las Palmas (Spain), December 1995. John Wiley & Sons, New
York. ga95aMichielssen.
[1645] Andre Neubauer. Non-linear adaptive filters based on genetic algorithms with applications to digital signal
processing. In ICEC’95 [2411], pages 527–532. †prog. ga95aNeubauer.
[1646] Tomasz Ostrowski. Computing with genetic algorithms in the context of adaptive neural filtering. Pattern
Recognition Letters, 16(2):125–132, February 1995. ga95aOstrowski.
[1647] Hanjun Peng, H. John Caulfield, and Jason Kinser. Optimization filters design for GFT by genetic
algorithm. In ?, editor, Optical Implementation of Information Processing, volume SPIE-2565, pages
74–84, San Diego, CA, 10. -11. July 1995. The International Society for Optical Engineering, Bellingham,
WA. * A96-30133 ga95aPeng.
[1648] S. Martin, J. Rivory, and Marc Schoenauer. Synthesis of optical multilayer systems using genetic algorithms. Applied Optics, 34(?):2247–2254, ? 1995. †[2444] ga95aSMartin.
Bibliography
173
[1649] S. Sriranganathan, David R. Bull, and David W. Redmill. Design of 2-D multiplierless FIR filters using
genetic algorithms. In IEE/IEEE Sheffield ’95 [2427], pages 282–286. †conf.prog ga95aSriranganathan.
[1650] A. Kšir and J. F. Tasic. Genetic algorithms and filtering. In IEE/IEEE Sheffield ’95 [2427], pages 343–348.
†conf.prog ga95aTasic.
[1651] Young-Ho Lee, Masayuki Kawamata, and Tatsuo Higuchi. Design of 2-D state-space digital filters with
powers-of-two coefficients based on a genetic algorithm. In Proceedings of the International Conference
on Image Processing, volume 2, pages 133–136, Washington, DC, 23.-26. October 1995. IEEE Computer
Society Press, Los Alamitos, CA. †P68915 EEA 39956/96 ga95aY-HLee.
[1652] Yoshihiro Aketa, Miki Haseyama, Hideo Kitajima, and N.Nagai. A study of quantized filter coefficients
with a genetic algorithm and simulated annealing algorithm. IEICE Technical Report CAS95-25, June
1995. †[1673] ga95bAketa.
[1653] T. Arslan and D. H. Horrocks. The design of analogue and digital filters using genetic algorithms. In IEE
Colloquium on ‘Digital and Analogue Filters and Filtering Systems’, volume IEE Digest No. 1995/226,
pages 2/1–2/5, London, 30. November 1995. IEE, London. * EEA 39893/96 ga95bArslan.
[1654] Wassim S. Chaer and Robert H. Bishop. Adaptive Kalman filtering with genetic algorithms. In Proceedings
of the 5th AAS/AIAA Spaceflight Mechanics Conference, volume 89, pages 141–155, Albuquerque, NM,
13.-16. February 1995. Univelt Inc, San Diego, CA. †A95-42242 ga95bChaer.
[1655] Paolo Gentili, Francesco Piazza, and Aurelio Uncini. Efficient genetic algorithm design for power-of-two
FIR filters. In Proceedings of the 1995 International Conference on Acoustics, Speech, and Signal Processing, volume 2, pages 1268–1271, Detroit, MI, 9.-12. May 1995. IEEE, Piscataway, NJ. †EI M176414/95
ga95bGentili.
[1656] N. R. Harvey and S. Marshall. Design of different classes of morphological filter using genetic algorithm. In
Proceedings of the 5th International Conference on Image Processing and its Applications, pages 227–231,
Edinburgh (UK), 4.-6. July 1995. IEE, Stevenage (UK). †EI M159591/95 ga95bHarvey.
[1657] David H. Horrocks and Y. M. A. Khalifa. Genetically evolved FDNR and leap-frog active filters using
preferred components values. In ?, editor, Proceedings of the ECCTD’95, page ?, Istanbul (Turkey), August
1995. ? ga95bHorrocks.
[1658] Masayuki Kawamata, Jun Imakubo, and Tatsuo Higuchi. Optimal design method of separable denominator
two-dimensional digital filters based on a genetic algorithm. Fundam. Electron. Sci., 78(12):70–80, 1995.
†EI M076113/96 ga95bKawamata.
[1659] P. Kraft and N. R. Harvey. Parallel genetic algorithms for optimizing morphological filters. In Proceedings
of the Fifth International Conference on Image processing and its Applications, pages 762–766, Edinburgh
(UK), 4.-6. July 1995. IEE, London, UK. †EEA78806/95 ga95bKraft.
[1660] Chen Rujun, Wu Qinghua, and J. T. Ma. Simulated evolution method for optimizing parameters of filters.
Chin. J. Electron. (China), 4(3):6–11, 1995. †EEA8554/95 ga95bRujun.
[1661] S. S. Rao and A. Ramasubrahmanyan. Evolving IIR approximants for FIR filters. In Proceedings of the
Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Record Conference, volume 2,
pages 976–979, Pacific Grove, CA (USA), 30. October-2. November 1995. IEEE Computer Society Press,
Los Alamitos, CA. †CCA3753/97 ga95bSSRao.
[1662] Young-Ho Lee, Masayuki Kawamata, and Tatsuo Higuchi. Design of 2-D state-space digital filters with
powers-of-two coefficients based on a genetic algorithm. In Proceedings of the 1995 IEEE International
Conference on Image Processing, volume 2, pages 133–136, Washington, DC, 23.-26. October 1995. IEEE,
Los Alamitos, CA. †EI M033749/95 ga95bY-HLee.
[1663] Tomasz Ostrowski. Genetic algorithm approach to nonlinear adaptive filtering. Journal of Technical
Physics (Poland), 36(1):89–101, January 1995. ga95cOstrowski.
[1664] Young-Ho Lee, Masayuki Kawamata, and Tatsuo Higuchi. Design of multiplierless 2-D state-space digital
filters over a powers-of-two coefficient space. In ?, editor, Proceedings of the 1995 8th Karuizawa Workshop
on Circuits and Systems, pages 374–377, Tokyo, Japan, 20.-21. April 1995. Inst. of Electronics, Inf &
Commun Engineers of Japan, Tokyo (Japan). †EI M091636/96 ga95cY-HLee.
[1665] Tomasz Ostrowski. Nonlinear adaptive filtering: The genetic algorithm approach. PhD thesis, Politechnika
Warszawska, Poland, 1995. (University Microfilms International, No. 95-38363) * Ostrowski DAI Vol 56
No 7 ga95dOstrowski.
[1666] Mehrdad Salami and Greg Cain. Genetic algorithm processor for adaptive IIR filters. In ICEC’95 [2411],
pages 423–428. †prog. ga95gSalami.
174
[1667] Andrea Kutics. Evolution of gray-scale morphology structures for the extraction of medical objects. In Andrew G. Tescher, editor, Applications of Digital Image Processing XIX, volume SPIE-2847, pages 593–602,
?, November 1996. The International Society for Optical Engineering. * www/SPIE Web ga96aAKutics.
[1668] David R. Cruickshank and George H. Born. A new class of adaptive extended Kalman filters. In ?, editor,
Proceedings of the 6th AAS/AIAA Spaceflight Mechanics Conference, volume 93, pt. 1 of Advances in the
Astronautical Sciences, pages 117–135, Austin, TX, 12.-15. February 1996. Univelt Inc., San Diego, CA.
†A96-40067 ga96aCruickshank.
[1669] Devesh Patel. Filter selection using genetic algorithms. In ?, editor, Applications of Artificial Neural
Networks in Image Processing, volume SPIE-2664, pages 95–102, San Jose, CA, 1. -2. February 1996. The
International Society for Optical Engineering, Bellingham, WA. * CCA 52203/96 A96-29801 ga96aDPatel.
[1670] David R. Bull and David W. Redmill. Optimization of image coding algorithms and architectures using genetic algorithms. IEEE Transactions on Industrial Electronics, 43(5):549–558, October 1996. ga96aDRBull.
[1671] H. Elsimary. Implementation of neural-network and genetic algorithms for novelty filters for fault-detection.
In George G. Cameron, H. Hassoun, and C. Melvin A. Jerdee, editors, Proceedings of the 39th Midwest
Symposium on Circuits and Systems, volume I-III, pages 1432–1435, Ames, AI, 18.-21. August 1996. IEEE,
New York, NY. †P74974 ga96aElsimary.
[1672] P. Gentili, F. Piazza, and A. Uncini. Improved power-of-two sharpening filter design by genetic algorithm.
In Proceedings of the 1996 IEEE International Conference on Acoustics and Signal Processing, volume 3,
pages 1375–1378, Atlanta, GA, 7.-10. May 1996. IEEE, New York. * CCA 13232/97 ga96aGentili.
[1673] Miki Haseyama, Yoshihiro Aketa, and Hideo Kitajima. A method quantizing filter coefficients with genetic
algorithm and simulated annealing. IEICE Transactions on Fundamentals of Electronics, Communications
and Computer Science, E79-A(8):1130–1134, August 1996. ga96aHaseyama.
[1674] David H. Horrocks and M. C. Spittle. Component value selection for active filters using genetic algorithms.
In ? [2431], page ? ga96aHorrocks.
[1675] Heikki Huttunen, Pauli Kuosmanen, and Jaakko T. Astola. Optimal RASF filtering. In Edward R.
Dougherty, Jaakko T. Astola, and Harold G. Longbotham, editors, Nonlinear Image Processing VII, volume
SPIE-2662, pages 154–165, San Jose, CA, 29. -30. January 1996. The International Society for Optical
Engineering, Bellingham, WA. ga96aHuttunen.
[1676] Masahiko Kishida and Nozomu Hamada. Design of 2-D IIR filter using the genetic algorithm. IEICE
Transactions on Fund. Electron. Commun. Comput. Sci., E79-A(1):131–133, January 1996. ga96aKishida.
[1677] Pertti Koivisto, Heikki Huttunen, and Pauli Kuosmanen. Training-based optimization of soft morphological
filters. Journal of Electronic Imaging, 5(3):300–322, July 1996. ga96aKoivisto.
[1678] G. Mandyam. Application of genetic algorithms to Volterra filter structure determination for adaptive
systems. In Proceedings of the Thirtieth Asilomar Conference on Signals, Systems and Computers, volume 2, pages 1147–1151, Pacific Grove, CA (USA), 3.-6. November 1996. IEEE Computer Society Press,
Los Alamitos, CA. †CCA93320/97 ga96aMandyam.
[1679] N. R. Harvey and S. Marshall. Gray-scale soft morphological filter optimization by genetic algorithms. In
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, pages
179–186, Atlanta, GA, May 1996. Kluwer Academic Publ, Dordrecht. †P74625 ga96aNRHarvey.
[1680] P. Taneli Harju and Seppo J. Ovaska. Optimization of polynomial predictive IIR filters using genetic
algorithms. In B. Z. Yuan and X. F. Tang, editors, Proceedings of the 3rd International Conference on
Signal Processing (ICSP96), volume 1, pages 68–71, Beijing (China), 14.-18. October 1996. IEEE, New
York. * ga96aPTHarju.
[1681] Tim J. Patterson and Scott R. Fairchild. Broad area search for targets in SAR imagery with context
adaptive algorithm. In ?, editor, Algorithms for Synthetic Aperture Radar Imagery III, volume SPIE2757, pages 25–33, Orlando, FL, 10. -12. April 1996. The International Society for Optical Engineering,
Bellingham, WA. * A96-38306 ga96aPatterson.
[1682] Ronald E. Shaffer, Gary W. Small, and Mark A. Arnold. Genetic algorithm-based protocol for coupling
digital filtering and partial least-squares regression: Application to the near-infrared analysis of glucose in
biological matrices. Analytical Chemistry, 68(15):2663–2675, 1. August 1996. ga96aREShaffer.
[1683] Sathyanarayan S. Rao and Arun Ramasubrahmanyan. Design of discrete coefficient FIR filters using
fast simulated evolutionary optimization. In Proceedings of the 1996 IEEE International Conference on
Neural Networks, volume 2, pages 1185–1190, Washington, DC, 3.-6. June 1996. IEEE, New York, NY.
†CCA87392/96 ga96aSSRao.
Bibliography
175
[1684] S. Sriranganathan, David R. Bull, and David W. Redmill. Optimization of multipliers two-dimensional
digital filters. In Rashid Ansari and Mark J. Smith, editors, Visual Communications and Image Processing ’96, volume SPIE-2727, pages 1280–1287, ?, February 1996. The International Society for Optical
Engineering. * www/SPIE Web ga96aSSriranganathan.
[1685] S. Sriranganathan, David R. Bull, and David W. Redmill. Low complexity two-dimensional digital filters
using unconstrained SPT term allocation. In Proceedings of the 1996 IEEE International Symposium on
Circuits and Systems, ISCAS, volume 2, pages 762–765, Atlanta, GA, 12.-15. May 1996. IEEE, Piscataway,
NJ. †EI M156814/96 ga96aSriranganathan.
[1686] Wei Li, Véronique Haese-Coat, and Joseph Ronsin. Using adaptive genetic algorithms in the design
of morphological filters in textural image processing. In Edward R. Dougherty, Jaakko T. Astola, and
Harold G. Longbotham, editors, Nonlinear Image Processing VII, volume SPIE-2662, pages 24–35, San
Jose, CA, 29. -30. January 1996. The International Society for Optical Engineering, Bellingham, WA.
ga96aWLi.
[1687] Michael A. Zmuda, Louis A. Tamburino, and Mateen M. Rizki. Evolutionary learning system for synthesizing complex morphological filters. IEEE Transactions on Systiems, Man, and Cybernetics, Part B:
Cybernetics, 26(4):645–653, 1996. †EI M144987/96 ga96aZmuda.
[1688] Yoshihiro Aketa, Miki Haseyama, Hideo Kitajima, and N. Nagai. A method for quantizing coefficients of a
filter with genetic algorithm. Electron. Commun. Jpn 3, Fundam. Electron. Sci. (USA), 79(4):1–10, 1996.
†CCA81058/96 ga96bAketa.
[1689] Paolo Gentili, Francesco Piazza, and Aurelio Uncini. Improved power-of-2 sharpening filter design by
genetic algorithm. In Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and
Signal Processing, volume ?, page ?, Atlanta, GA, 7.-10. May 1996. IEEE, New York, NY. †P69310
ga96bGentili.
[1690] David H. Horrocks and Yaser M. A. Khalifa. Genetically derived filter circuits using preferred value
components. In ? [2431], page ? ga96bHorrocks.
[1691] Leechter Yao. Genetic algorithm based identification of nonlinear systems by sparce Volterra filters. In
Proceedings of the 1996 IEEE International Conference on Emerging Technologies and Factory Automation,
volume 1, pages 327–333, Kauai, HI, 18.-21. November 1996. IEEE, Piscataway, NJ. * EI M040568/97
ga96bLYao.
[1692] André Neubauer. Genetic algorithms for non-linear adaptive filters in digital signal processing. In ?, editor,
Proceedings of the 1996 ACM Symposium on Applied Computing, volume ?, pages 519–522, Philadelphia,
? 1996. ACM. †[2445] ga96bNeubauer.
[1693] Young-Ho Lee, Masayuki Kawamata, and Tatsuo Higuchi. GA-based design of multiplierless 2-D statespace digital filters with very small roundoff noise. In Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 3, pages 1283–1286, Atlanta, GA, 7.-10. May
1996. IEEE, New York, NY. †EEA15279/97 ga96bY-HLee.
[1694] A. Neubauer. Evolutionary design of analog FIR filters with variable time delays for optically controlled
microwave signal processors. In Proceedings of the Eighth European Signal Processing Conference, volume 1, pages 296–299, Trieste (Italy), 10.-13. September 1996. Edizioni LINT Trieste, Trieste (Italy).
†CCA12908/98 ga96cANeubauer.
[1695] Stephen P. Harris and Emmanual C. Ifeachor. Nonlinear FIR filter design by genetic algorithm. In
Proceedings of the First Online Workshop on Soft Computing (WSC1), pages 216–221, WWW (World
Wide Web), 19.-30. August 1996. Nagoya University. ga96cHarris.
[1696] David H. Horrocks and Yaser M. A. Khalifa. Genetically evolved FDNR and leap-frog active filters using
preferred component values. In ? [2431], page ? ga96cHorrocks.
[1697] K. S. Tang, K. F. Man, S. Kwong, C. Y. Chan, and C. Y. Chu. Application of the genetic algorithm to
real-time active noise control. Real Time Systems, 11(3):289–302, November 1996. ga96cKSTang.
[1698] Young-Ho Lee, Masayuki Kawamata, and Tatsuo Higuchi. GA-based design of multiplierless 2-D digital
filters with very low roundoff noise. In Proceedings of the IEEE Asia Pacific Conference on Circuits
and Systems’96, pages 223–226, Seoul (South Korea), 18.-21. November 1996. IEEE, New York, NY.
†EEA53435/97 ga96cY-HLee.
[1699] John R. Koza, Forrest H. Bennett III, David Andre, and Martin A. Keane. Four problems for which a
computer program evolved by genetic programming is competitive with human performance. In Proceedings
of the 1996 IEEE International Conference on Evolutionary Computation, page ?, Nagoya, Japan, 20.22. May 1996. IEEE, Piscataway, NJ. ga96dKoza.
176
[1700] T. Arslan and David H. Horrocks. Hierarchical frequency grid management for arbitrary response FWL
IIR filter design using a genetic algorithm. In Proceedings of the 1996 IEEE International Symposium on
Circuits and Systems, ISCAS, volume 2, pages 104–107, Atlanta, GA (USA), 12.-15. May 1996. IEEE,
Piscataway, NJ. †EI M156771/96 ga96fArslan.
[1701] K. G. Berketis, S. K. Katsikas, and S. D. Likothanassis. Multimodel adaptive filtering with genetically
determined varying model space. In Proceedings of the 1997 13th International Conference on Digital
Signal Processing, volume 1, pages 29–32, Santorini, Greece, 2.-4. July 1997. IEEE, New York, NY.
†EEA49261/98 ga97aBerketis.
[1702] C. Smith. Genetic optimization algorithms create high-performance, fixed point digital filters. R. F. Des.
(USA), 20(4):46, 1997. †CCA65115/97 ga97aCSmith.
[1703] Irina Mirkin and Liviu Singher. Adaptive scale invariant filters. In Proceedings of the Algorithms, Devices,
and Systems for Optical Information Processing, volume SPIE-3159, pages 300–307, San Diego, CA, 28.29. July 1997. SPIE, Bellingham, WA. †A98-33264 ga97aIMirkin.
[1704] M. Klosowski. Application of genetic algorithms and neural networks to hybrid expert system for electronic filter design. Bull. Pol. Acad. Sci. Tech. Sci. (Poland), 45(4):559–572, 1997. †EEA34581/98
ga97aKlosowsk.
[1705] P. L. Lanzi. Fast feature selection with genetic algorithms: a filter approach. In Proceedings of 1997 IEEE
International Conference on Evolutionary Computation, pages 537–540, Indianapolis, IN, 13.-16. April
1997. IEEE, New York, NY. †CCA44705/97 ga97aLanzi.
[1706] Li Qun and Tang Guoqing. Hierarchical genetic algorithm of optimal filter placement in a network with
many harmonic sources. Power Syst. Technol. (China), 21(4):57–60, 1997. In Chinese †EEA80141/97
ga97aLiQun.
[1707] M. Abe and M. Kawamata. Comparison of the convergence of IIR evolutionary digitals filters and other
adaptive digital filters on a multiple-peak surface. In Proceedings of the Thirty-First Asilomar Conference
on Signals, Systems and Computers, volume 2, pages 1674–1678, Grove, CA (USA), 2.-5. November 1997.
IEEE Computer Society Press, Los Alamitos , CA. †CCA75706/98 ga97aMAbe.
[1708] Masaichi Akiho, Miki Haseyama, and Hideo Kitajima. ARMA direct form filter designing method to
reconstruct FIR digital filters based upon genetic algorithm and simulated annealing. J. Acoust. Soc. Jpn
E, 18(4):153–161, 1997. †EI M003305/98 ga97aMasAkiho.
[1709] A. Negulescu, A. Stefanescu, and A. Serbanescu. LC ladder filter optimization using evolutionary strategies.
In Proceedings of the 1997 European Conference on Circuit Theory and Design, volume 2, pages 498–501,
Budapest (Hungary), 31. aug- 3. sept ? 1997. Tech. Univ. Budabest, Bedabest (Hungary). †CCA85204/99
ga97aNegulesc.
[1710] Peter E. Undrill and Konstantinos K. Delibasis. Stack filter design for image restoration using genetic algorithms. In Proceedings of the International Conference on Image Processing, volume II, pages
486–489, Santa Barbara, CA, 26.-29. October 1997. IEEE Computer Society Press, Los Alamitos, CA.
ga97aPEUndrill.
[1711] Peter Kraft, Neal R. Harvey, and Stephen Marshall. Parallel genetic algorithms in the optimization of
morphological filters: a general design tool. Journal of Electronic Imaging, 6(4):504–516, October 1997. *
www/SPIE Web ga97aPKraft.
[1712] P. Taneli Harju. Advances in Polynomial Predictive Filtering: Theory, Design, and Applications. PhD
thesis, Helsinki University of Technology, Department of Electrical and Communications Engineering, 1997.
ga97aPTHarju.
[1713] Rafal Kotyński and Katarzyna Chalasińska-Macukow. Optimization of SDF filters with a genetic algorithm. In J. Turunen, editor, Diffractive Optics, EOS Topical Meetings Digests, volume 12, pages 18–181,
Savonlinna (Finland), ? 1997. EOS. †www /Kotynski ga97aRafalKotynski.
[1714] D. W. Redmill and D. R. Bull. Design of low complexity FIR filters using genetic algorithms and directed
graphs. In Proceedings of the Second International Conference on Genetic Algorithms in Engineering
Systems: Innovations and Applications, pages 168–173, Glasgow (UK), 2.-4. September 1997. IEE, London
(UK). †CCA4076/98 ga97aRedmill.
[1715] J. H. Satyanarayana and B. Nowrouzian. A new technique for the high-level synthesis of digit-serial
digital filters based on genetic algorithms. J. Circuits Syst. Comput. (Singapore), 7(6):517–535, 1997.
†CCA69678/98 ga97aSatyanar.
Bibliography
177
[1716] Liviu Singher, Okan K. Ersoy, and Gaines E. Miles. Optimization of binary circular filters. Optical
Engineering, 36(3):922–934, 1997. †A97-23656 ga97aSingher.
[1717] S. Sriranganathan, D. R. Bull, and D. W. Redmill. The design of low complexity two-channel latticestructure perfect-reconctruction filter banks using genetic algorithms. In Proceedings of the 1997 IEEE
International Symposium on Circuits and Systems, volume 4, pages 2393–2396, Hong Kong, 9.-12. June
1997. IEEE, New York, NY. †CCA102781/97 ga97aSriranganathan.
[1718] S. Sundaralingam and K. Sharman. Genetic evolution of adaptive filters. In Proceedings of the DSP’97
Conference, pages 47–53, Esher, UK, 3.-4. December 1997. Badger, Events (Kingston upon Thames, UK).
†EEA34974/98 ga97aSundaralingam.
[1719] S. Suthaharan, Z. Zhang, and S. Sathananthan. An improved Wiener filter using genetic algorithm.
In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems:
Innovations and Applications, pages 75–78, Glasgow (UK), 2.-4. September 1997. IEE, London, UK.
†CCA1013/98 ga97aSuthaharan.
[1720] T. A. Cusick, S. Iezekiel, and R. E. Miles. An evolutionary solution to synthesis problem of optimal alloptical microwave filters. In Proceedings of the IEEE MTT/ED/AP/LEO Societies Joint Chapter United
Kingdom and Republic of Ireland Section 1997 High Frequency Postgraduate Student Colloquium, pages
75–80, Leeds (UK), 19. September 1997. IEEE, New York, NY. †EEA35058/98 ga97aTACusick.
[1721] T. Sato and Tomohiro Yoshikawa. On the realization of cascade form FIR digital filters with low-sensitivity
using genetic algorithm. Trans. Inst. Electron. Inf. Commun. Eng. A (Japan), J80-A(7):1113–1121, 1997.
In Japanese †CCA83197/97 ga97aTSato.
[1722] Sorin Tibuleac, Robert Magnusson, Theresa A. Maldonado, and Cinzia Zuffada. Direct and inverse techniques of guided-mode resonance filters designs. In Proceedings of the 1997 IEEE Antennas and Propagation
Society International Symposium, volume 4, pages 2380–2383, Montreal (Canada), 13.-18. July 1997. IEEE,
Piscataway, NJ. †EI M003787/98 ga97aTibuleac.
[1723] H. Toyoshima and H. Takei. Optimization of cascade structure of IIR digital filters using genetic algorithm.
Transactions of the Insttute of Electronics, Information, and Communication Engineers A (Japan), J80A(1):277–280, 1997. In Japanese †EEA21815/97 ga97aToyoshim.
[1724] Peter E. Undrill, Konstantinos K. Delibasis, and George G. Cameron. Designing filters for texture interpretation using genetic algorithms. In Proceedings of the IEE Colloquium on Pattern Recognition, pages
4/1–4/6, London, UK, 26. February 1997. IEE, London, UK. †EEA69063/97 ga97aUndrill.
[1725] Wassim S. Chaer, Robert H. Bishop, and Joydeep Ghosh. A mixture-of-experts framework for adaptive Kalman filtering. IEEE Transactions on Systems, Man, and Cybernetics, 27(3):452–464, June 1997.
ga97aWSChaer.
[1726] Y. Suzuki, H. Saito, and S. Ozawa. Extraction of the human face from arbitrary background using SNAKES
and ellipsoid fitting via GAs. Transactions of the Institute of Electronics, Information, and Communication
Engineers D-II (Japan), J80D-II(8):2186–2193, 1997. In Japanese †CCA89879/97 ga97aYSuzuki.
[1727] Michele Zamparelli. Genetically trained cellular neural networks. Neural Networks, 10(6):1143–1151,
August 1997. ga97aZamparelli.
[1728] Cinzia Zuffada, Tom Cwik, and Christopher Ditchman. Synthesis of novel all-dielectric grating filters
using genetic algorithms. In Proceedings of the 1997 IEEE Antennas and Propagation Society International Symposium Digest, volume 3, pages 1676–1679, Montreal, Que (Canada), 13.-18. July 1997. IEEE.
†Johnson/bib ga97aZuffada.
[1729] Kumar Chellapilla, David B. Fogel, and S. S. Rao. Gaining insight into evolutionary programming
through landscape visualization: an investigation into IIR filtering. In Proceedings of the 6th International Conference, pages 407–417, Indianapolis, IN, 13.-16. April 1997. Springer-Verlag, Berlin (Germany).
†CCA73815/97 ga97bChellapilla.
[1730] M. Klosowski. Application of genetic algorithms to hybrid expert system for electronic filter design.
In Proceedings of the 1997 European Conference on Circuit Theory and Design, volume 2, pages 539–542,
Budapest (Hungary), 31. aug- 3. sept ? 1997. Tech. Univ. Budapest, Budapest (Hungary). †CCA85209/99
ga97bKlosowski.
[1731] D. W. Redmill, D. R. Bull, and R. R. Martin. Design of multiplier free linear phase perfect reconstruction
filter banks using transformations and genetic algorithms. In Proceedings of the Sixth International Conference on Image Processing and its Applications, volume 2, pages 766–770, Dublin (Ireland), 14.-17. July
1997. IEE, London (UK). †CCA93847/97 ga97bRedmill.
178
[1732] C. S. Chang, F. Wang, and K. S. Lock. Harmonic worst-case identification and filter optimal design of
MRT systems using genetic algorithms. IEE Proceedings, Electr. Power Appl., 144(5):372–380, 1997. †EI
M019380/98 ga97cCSChang.
[1733] A. Neubauer. Genetic design of analog IIR filters with variable time delays for optically controlled microwave signal processors. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation, pages 437–442, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA48462/97
ga97cNeubauer.
[1734] A. T. G. Fuller, B. Nowrouzian, and F. Ashrafzadeh. Optimization of fir digital-filters over the canonical
signed-digit coefficient space using genetic algorithms. In Proceedings of the 1998 Midwest Symposium on
Circuits and Systems, pages 456–459, Notre Dame, IN (USA), 9.-12. August 1998. IEEE Computer Society
Press, Los Alamitos , CA. †P84301 ga98aATFuller.
[1735] G. Anelli, A. Broggi, and G. Destri. Decomposition of arbitrary shaped binary morphological structuring
elements using genetic algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(2):217–224, February 1998. * EEA 49705/98 ga98aAnelli.
[1736] S. E. Aumeier and J. H. Forsmann. Evaluation of Kalman filters and genetic algorithms for delayedneutron nondestructive assay data analyses. Nucl. Technol. (USA), 122(1):104–124, 1998. †CCA50161/98
ga98aAumeier.
[1737] B. M. Al-Hashimi, W. P. Somerset, and M. Monori. Constrained genetic algorithm design of finite precision
FIR linear phase rained cosine filters. In Proceedings of the 1998 IEEE International Symposium on
Circuits and Systems, volume 5, pages 445–448, Monterey, CA, 31. may- 3. jun ? 1998. IEEE, New York,
NY. †EEA107187/98 ga98aBMAl-Hashi.
[1738] F. Xiao and H. Yabe. Rigorous design of iris-coupled waveguide filters by field-theory-based approach
and genetic algorithms. IEICE Trans. Electron. (Japan), E81-C(6):934–940, 1998.
†CCA73379/98
ga98aFXiao.
[1739] J. D. Griesbach and D. M. Etter. Fitness-based exponential probabilities for genetic algorithms applied to
adaptive IIR filtering. In Conference Records of the Thirty-Second Asilomar Conference on Signals, Systems
& Computers, volume 1, pages 523–527, Pacific Grove, CA, 1.-4. November 1998. IEEE, Piscataway, NJ.
†P83794/99 ga98aGriesbach.
[1740] Hung-Ching Lu and Shian-Tang Tzeng. Design of 2-D FIR filters using McClellan transformation with
genetic algorithms. In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, pages 265–270, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY. †CCA78817/98
ga98aHung-ChingLu.
[1741] I. Yoda, K. Yamamoto, and H. Yamada. An automatic acquisition of structural mathematical morphology
procedures by GA. Bull. Electrotech. Lab. (Japan), 62(8):1–11, 1998. †CCA77863/99 ga98aIYoda.
[1742] Julia V. Sergienko and Yuri S. Yurchenko. Using evolutionary optimization for specialized recursive filter
synthesis. In Bruno Bosacchi, David B. Fogel, and James C. Bezdek, editors, Applications and Science
of Neural Networks, Fuzzy Systems, and Evolutionary Computation, volume SPIE-3455, pages 308–316, ?,
October 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aJVSergienko.
[1743] Kit sang Tang, Kim fung Man, Sam Kwong, and Zhi feng Liu. Design and optimization of IIR filter
structure using hierarchical genetic algorithms. IEEE Transactions on Industrial Electronics, 45(3):481–
487, June 1998. ga98aK-sTang.
[1744] Liviu Singher, Okan K. Ersoy, and Gaines E. Miles. Design of binary rotation-invariant filters with genetic
algorithm. In Proceedings of the Algorithms, Devices, and Systems for Optical Information Processing,
volume SPIE-3466, pages 74–79, San Diego, CA, 20.-23. July 1998. SPIE – International Society for
Optical Engineering. †P83686 ga98aLSingher.
[1745] M. Koppen, M. Teunis, and B. Nickolay. A framework for the evolutionary generation of 2d-lookup
based texture filters. In Procedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems, volume 2, pages 965–970, Fukuoka, Japan, 16.-20. October 1998. World Scientific,
Singapore. †CCA72107/99 ga98aMKoppen.
[1746] M. Oner. A genetic algorithm for optimisation of linear phase FIR filter coefficients. In Proceedings of the
Thirty-Second Asilomar Conference on Signals, Systems and Computers Record, volume 2, pages 1397–
1400, Pacific Grove, CA (USA), 1.-4. November 1998. IEEE, Piscataway, NJ. †CCA71927/99 ga98aMOner.
[1747] M. Yu, N. Euaanant, A. Saudagar, and L. Udpa. Genetic algorithm approach to image segmentation
using morphological operations. In Proceedings of the 1998 International Conference on Image Processing,
volume 3, pages 775–779, Chicago, IL (USA), 4.-7. October 1998. IEEE Computer Society Press, Los
Alamitos , CA. †P82246 ga98aMYu.
Bibliography
179
[1748] T. A. Cusick, S. Iezekiel, and R. E. Miles. All-optical microwave filter design employing a genetic algorithm.
IEEE Photonics Technol. Lett. (USA), 10(8):1156–1158, 1998. †CCA65826/98 ga98aTACusick.
[1749] V. Vaidehi and C. N. Krishnan. Scheduling the parallel Kalman algorithm onto multiprocessor systems a genetic approach. Control Engineering Practice, 6(2):209–218, 1998. †CCA61966/98 ga98aVaidehi.
[1750] Y. H. Lee, M. Kawamata, and Tetsuya Higuchi. GA-based design of multiplierless 2-D state-space digital filters with low roundoff noise. IEE Proc., Circuits Devices Syst. (UK), 145(2):118–124, 1998. †CCA46320/98
ga98aYHLee.
[1751] Yi Shang and Benjamin W. Wah. New global-search method for designing filter banks. In Hongchi Shi and
Patrick C. Coffield, editors, Parallel and Distributed Methods for Image Processing II, volume SPIE-3452,
pages 94–105, San Diego, CA, 19.-20. . The International Society for Optical Engineering.
[1752] Cinzia Zuffada, Tom Cwik, and Christopher Ditchman. Synthesis of novel all-dielectric grating filters using
genetic algorithms. IEEE Transactions on Antennas and Propagation, 46(5):657–663, 1998. †A98-27842
ga98aZuffada.
[1753] M. Oner. A genetic algorithm for optimization of linear-phase FIR filter coefficients. In Conference Records
of the Thirty-Second Asilomar Conference on Signals, Systems & Computers, volume 2, pages 1397–1400,
Pacific Grove, CA, 1.-4. November 1998. IEEE, Piscataway, NJ. †P83794/99 ga98bMOner.
[1754] A. Lee, M. Ahmadi, G. A. Jullien, R. S. Lashkari, and W. C. Miller. Design of 1-D FIR filters with genetic
algorithms. In Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, volume 3,
pages 295–298, Orlando, FL, 30. may- 2. jun ? 1999. IEEE, New York, NY. †P85439 ga99aALee.
[1755] Heikki Huttunen. Training based optimization of nonlinear digital filters: Case studies. PhD thesis,
Tampere University of Technology, 1999. ga99aHuttunen.
[1756] J. F. Miller. On the filtering properties of evolved gate arrays. In Proceedings of the First NASA/DoD
Workshop on Evolvable Hardware, pages 2–11, Pasadena, CA, 19.-21. July 1999. IEEE Computer Society
Press, Los Alamitos , CA. †CCA80866/99 ga99aJFMiller.
[1757] N. R. Harvey and S. Marshall. GA-optimisation of spatio-temporal grey-scale soft morphological filters with
applications in archive film restoration. In Proceedings of the First European Workshops on Evolutionary
Image Analysis, Signal Processing and Telecommunications, pages 31–45, Goteburg, Sweden, 26.-27. May
1999. Springer-Verlag, Berlin (Germany). †CCA81369/99 ga99aNRHarvey.
[1758] R. S. T. Lee and J. N. K. Liu. An oscillatory elastic graph matching model for recognition of offline
handwritten Chinese characters. In The International Conference on Knowledge-Based Intelligent Information Engineering Systems, pages 284–287, Adelaide, SA (Australia), 31. August-1. September 1999.
IEEE, Piscataway, NJ. * www /IEEE ga99aRSTLee.
[1759] S. C. Ng, C. Y. Chung, S. H. Leung, and A. Luk. A variable step size algorithm using evolution strategies
for adaptive filtering. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1,
pages 542–545, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78133/99 ga99aSCNg.
[1760] Sorin Tibuleac. Guided-mode resonance reflection and transmission filters in the optical and microwave
spectral ranges. PhD thesis, The University of Texas at Arlington, 1999. †NASA ADS ga99aSTibuleac.
[1761] Tom A. Cwik and Gerhard Klimeck. Genetically engineered microelectronic infrared filters. In Proceedings
of the First NASA/DoD Workshop on Evolvable Hardware, pages 242–246, Pasadena, CA, 19.-21. July
1999. IEEE Computer Society Press, Los Alamitos , CA. †CCA85343/99 ga99aTCwik.
[1762] Jarno M. A. Tanskanen and Seppo J. Ovaska. Coefficient sensitivity of polynomial-predictive FIR differentiators: Design for short word length. In Proceedings of the 42nd Midwest Symposium on Circuits and
Systems, pages 520–523, Las Cruses, NM, August 1999. IEEE. ga99aTanskanen.
[1763] Tom A. Cwik and Gerhard Klimeck. Integrated design and optimization of microelectronic devices. In
Proceedings of the 1999 IEEE Aerospace Conference, volume 5, pages 131–138, Aspen, CO, 6.-13. March
1999. IEEE, Piscataway, NJ. * A99-43421 ga99aTomACwick.
[1764] Ricardo Salem Zebulum, Marco Aurélio Cavalcanti Pacheco, and Marley Maria Be Vellasco. Artificial
evolution of active filters: a case study. In Proceedings of the First NASA/DoD Workshop on Evolvable
Hardware, pages 66–75, Pasadena, CA, 19.-21. July 1999. IEEE Computer Society Press, Los Alamitos ,
CA. †CCA77308/99 ga99aZebulum.
[1765] M. Haseyama and H. Kitajima. A filter-coefficient quantization method with genetic algorithm. In Proceedings of the 1999 IEEE International Symposium on Circuits and Systems, volume 3, pages 399–402,
Orlando, FL, 30. may- 2. jun ? 1999. IEEE, New York, NY. †P85439 ga99bMHaseyama.
180
[1766] S. C. Ng, C. Y. Chung, S. H. Leung, and A. Luk. A variable step size algorithm using evolution strategies
for adaptive filtering. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1,
pages 542–545, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA78133/99 ga99bSCNg.
[1767] Young-Ho Lee, Masayuki Kawamata, and Tatsuo Higuchi. GA-based design of multiplierless 2-D statespace digital filters with very small roundoff noise. In Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 3, pages 1283–1286, Atlanta, GA, 7.-10. May
1996. IEEE, New York, NY. †EEA15279/97 ga9aaY-HoLee.
[1768] O. V. Patiakin, B. S. Zhang, G. D. Cain, and J. R. Leigh. An adaptive filter using Darwinian algorithm for
system identification and control. In 1993, International Conference on Systems, Man and Cybernetics,
volume 4, pages 627–631, Le Touquet (France), 17.-20. October 1993. IEEE, New York. ga:Cain93d.
[1769] David L. Calloway. Constructing an optimal binary phase-only filter using a genetic algorithm. In Bahram
Javidi, editor, Optical Information Processing Systems and Architectures III, volume 1564, pages 395–
402, San Diego, California, 23.-26. July 1991. The International Society for Optical Engineering (SPIE).
ga:Calloway91a.
[1770] David L. Calloway. Using a genetic algorithm to design binary phase-only filters for pattern recognition.
In Belew and Booker [2421], pages 422–429. ga:Calloway91b.
[1771] R. Cemes and D. Ait-Boudaoud. Genetic approach to design of multiplierless FIR filters. Electronics
Letters, 29(24):2087–2088, November 1993. ga:Cemes93a.
[1772] R. Cemes and D. Ait-Boudaoud. Multiplier-less FIR filter design with power-of-two coefficients. In IEE
Colloquium on ‘Digital and Analogue Filters and Filtering Systems’, volume IEE Digest No. 1993/199,
pages 6/1–6/4, London, 2. November 1993. IEE, London. * CCA 41512/94 ga:Cemes93b.
[1773] Chee-Hung Henry Chu. A genetic algorithm approach to the configuration of stack filters. In Schaffer
[2441], pages 219–224. ga:Chu89.
[1774] D. J. Xu and M. L. Daley. Design of finite word length FIR digital filter using a parallel genetic algorithm.
In Proceedings: IEEE Southeastern 92, Vols 1 and 2: Bridging the Gap Between Science and Society,
volume 2, pages 834–837, Birmingham, AL, 12.-15. April 1992. IEEE. * EI 016769/93 EEA 8074/93
ga:Daley92.
[1775] Kalyanmoy Deb. Optimal design of binary phase-only filters using genetic algorithms. Final report WLTR-93-7017, University of Illinois, Department of General Engineering, 1993. * CA 6627 Vol. 38 No. 9/10
N94-18278 ga:Deb93a.
[1776] D. M. Etter, M. J. Hicks, and K. H. Cho. Recursive adaptive filter design using an adaptive genetic
algorithm. In Proceedings of IEEE the International Conference on Acoustics, Speech and Signal Processing,
volume 2, pages 635–638, ?, ? 1982. IEEE. †[2446] ga:Etter82a.
[1777] S. D. Stearns, R. A. David, and D. M. Etter. A survey of IIR adaptive filtering algorithms. In Proceedings
of IEEE the International Symposium on Circuits and Systems, volume ?, pages 709–711, ?, ? 1982. IEEE.
† ga:Etter82b.
[1778] D. M. Etter and D. C. Dayton. Performance characteristics of a genetic algorithms in adaptive IIR filter
design. In H. W. Schussler, editor, Signal Processing II: Theories and applications, pages 53–56. Elsevier
Science Publishers, New York, 1983. † ga:Etter83.
[1779] J. S. Glower. An approach to tracking filter design using natural selection methods. In Proceedings of the
1992 American Control Conference, volume 3, pages 2174–2177, Chicago, Illinois, 24. -26. June 1992. †
ga:JSGlower92a.
[1780] Leehter Yao. Parameter estimation for nonlinear systems. PhD thesis, The University of Wisconsin Madison, 1992. * DAI 53/8 ga:LYaoThesis.
[1781] Michael S. White and Stuart J. Flockton. A comparative study of natural algorithms for adaptive IIR
filtering. In Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072],
page ? †GAdigest.v7n29 ga:MSWhite93b.
[1782] Stuart J. Flockton and Michael S. White. Application of genetic algorithms to infinite impulse-response
adaptive filters. In D. W. Ruck, editor, Science of Artificial Neural Networks II, volume SPIE-1966, pages
414–419, Orlando, FL, 13. -16. April 1993. The International Society for Optical Engineering. * P58486/93
EEA 29691/94 CCA 25457/94 ga:MSWhite93c.
[1783] Thomas Görne and Martin Schneider. Design of digital filters with evolutionary algorithms. In Albrecht
et al. [2420], pages 368–374. ga:MSchneider93a.
Bibliography
181
[1784] Beerud Sheth and Pattie Maes. Evolving agents for personalized information filtering. In Proceedings, The
Ninth International Conference on Artificial Intelligence for Applications, pages 345–352, Orlando, FL,
1.-5. March 1993. IEEE Computer Society Press, Los Alamitos, CA. ga:Maes93a.
[1785] Uri Mahlab and Joseph Shamir. Iterative optimization algorithms for filter generation in optical correlators:
a comparison. Applied Optics, 31(8):1117–1125, 10. March 1992. ga:Mahlab92a.
[1786] R. Nambiar and P. Mars. Genetic and annealing approaches to adaptive digital filtering. In Avtar Singh,
editor, Conference record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers,
volume 2, pages 871–875, Pacific Grove, CA, 26.-28. October 1992. IEEE Computer Society Press, Los
Alamitos, CA. ga:Mars92a.
[1787] R. Nambiar, C. K. K. Tang, and P. Mars. Genetic and learning automata algorithms for adaptive filter
design. In Proceedings of the 1992 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-92), volume 4, pages 41–44, San Francisco, CA, 23.-26. March 1992. IEEE, New York.
* EEA 55995/93 ga:Mars92b.
[1788] R. Nambiar and P. Mars. Adaptive IIR filtering using natural algorithms. In Proceedings of the IEE/IEEE
Workshop on Natural Algorithms in Signal Processing [2072], page ? †GAdigest.v7n29 ga:Mars93b.
[1789] B. Wilson and M. D. McCleod. Low implementation cost IIR filter design using genetic algorithms. In
Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], pages 4/1–4/8.
†[2447] GAdigest.v7n29 ga:McCleod93a.
[1790] Tomasz Ostrowski. Adaptive filters design using genetic algorithm. In ?, editor, Laser Technology IV, volume SPIE-2202, pages 590–594, Szczecin-Swinoujscie (Poland), 26. -30. September 1993. The International
Society for Optical Engineering, Bellingham, WA. * A95-26130 ga:Ostrowski93a.
[1791] S. Parry. Fittest filters in real world. New Electronics (UK), 26(3):15–16, March 1993. * EEA 53847/93
ga:Parry93a.
[1792] Eric Michielssen, S. Ranjithan, and Raj Mittra. Optimal multilayer filter design using real coded genetic
algorithms. IEE Proceedings J: Optoelectronics, 139(6):413–420, December 1992. ga:RMittra92.
[1793] Eric Michielssen, J. M. Sajer, and Raj Mittra. Design of multilayered FSS and wave-guide filters using
genetic algorithms. In IEEE Antennas and Propagation Society, International Symposium 1993, volume 3,
pages 1936–1939, Ann Arbor, MI, June 28.- July 2. 1993. IEEE, New York. †P59309/94 ga:RMittra93b.
[1794] Michael A. Zmuda, Louis A. Tamburino, and Mateen M. Rizki. Automatic generation of morphological
sequences. In ?, editor, Image Algebra and Morphological Image Processing III, volume SPIE-, pages 106–
118, ?, ? 1992. The International Society for Optical Engineering, Bellingham, WA. †[2436] ga:Rizki92a.
[1795] J. David Schaffer and Larry J. Eshelman. Designing multiplierless digital filters using genetic algorithms.
In Forrest [2422], pages 439–444. ga:Schaffer93c.
[1796] Thomas Eisenhammer, M. Lazarov, M. Leutbecher, U. Schöffel, and R. Sizmann. Optimization of interference filters with genetic algorithms applied to silver-based heat mirrors. Applied Optics, 32(31):6310–6315,
1. November 1993. ga:Sizmann93a.
[1797] D. Suckley. Genetic algorithm in the design of FIR filters. IEE Proceedings G: Electronic Circuits and
Systems, 138(2):234–238, April 1992. ga:Suckley91.
[1798] A. Roberts and G. Wade. A structured GA for FIR filter design. In Proceedings of the IEE/IEEE Workshop
on Natural Algorithms in Signal Processing [2072], page ? †GAdigest.v7n29 ga:Wade93a.
[1799] A. Roberts and G. Wade. Practical aspects of the application of the genetic algorithm to FIR filter design.
In ?, editor, Plymouth Engineering Design Centre Adaptive Search and Engineering Design II, page ?,
Plymouth (England), 13. December 1993. ? †prog ga:Wade93b.
[1800] Andrew Horner. Low peak amplitudes for wavetable synthesis. IEEE Transactions on Speech and Audio
Processing, 8(4):467–470, July 2000. ga00aAHorner.
[1801] Adelino R. Ferreira da Silva.
ga00aARFdaSilva.
Genetic algorithms for component analysis.
pages 243–250, 2000.
[1802] Bogdan Filipič, Iztok Žun, and Matjaž Perpar. Skill-based interpretation of noisy probe signals enhanced
with a genetic algorithm. International Journal of Human-Computer Studies, 53(4):517–535, October 2000.
†www /IDEAL ga00aBFilipic.
[1803] Ge xian Hou and Cheng ke Wu. Tracking system based on genetic algorithms and its hardware scheme.
Acta Aeronautica et Astronautica Sinica, 21(5):468–470, September 2000. * A01-22495 ga00aGe-xianHou.
182
[1804] Kwang-Ho Yang, Dong-Il Lee, Gi-Hyun Hwang, June-Ho Park, and Vernon L. Chartier. New formulas for
predicting audible noise from overhead HVAC lines using evolutionary computations. IEEE Transactions
on Power Delivery, 15(4):1243–1251, October 2000. ga00aK-HYang.
[1805] Peng Chen, T. Toyota, M. Taniguchi, Fang Feng, and T. Hiho. Failure diagnosis method for machinery in
unsteady operating condition by instantaneous power spectrum and genetic programming. In R. J. Howlett
and L. C. Jain, editors, Fourth International Conference on Knowledge-Based Intelligent Engineering
Systems and Allied Technology, volume 2, pages 640–643, Brighton, UK, 30. August-1. September 2000.
IEEE, Piscataway, NJ. * www/IEEE ga00aPChen.
[1806] T. Pham. Genetic learning of multi-attribute interactions in speaker verification. In Proceedings of the
2000 Congress on Evolutionary Computation, volume 1, pages 379–383, La Jolla, CA, USA, 16.-19.July
2000. IEEE, Piscataway, NJ. * www/IEEE ga00aTPham.
[1807] Takaaki Yamada, Hirotakak Mizuno, and Shuji Kitazawa. Stream of people analyzing method, 2000. (JP
patent no. 2000322402. Issued November 24 2000) * fi.espacenet.com ga00aTYamada.
[1808] David B. Fogel. Evolutionary Computation, Principles and Practice for Signal Processing. SPIE Press,
Bellingham, WA, 2000. ga00bDBFogel.
[1809] David B. Hillis.
Method and apparatus for multi-sensor, multi-target tracking using a genetic
algorithm, 2000.
(U. S. patent no. 6,055,523. Issued April 25 2000; available via www URL:
http://appft1.uspto.gov/netahtml/PTO/search-adv.html) ga00bDBHillis.
[1810] Michael D. McCormack and Kelly Crawford. System for attenuating high order free surface multiples from
a seismic shot record using a genetic procedure, 2000. (U. S. patent no. 6,154,705. Issued November 28
2000) * fi.espacenet.com ga00bMDMcCormack.
[1811] Adrienne Claire Nwando James. A dynamical model of the distributed interaction of intracellular signals.
PhD thesis, New Jersey Institute of Technology, 2001. * www /UMI ga01aACNJames.
[1812] Charulatha Kalluri, Sathyanarayana S. Rao, and Nelatury Sudarshan Rao. Using evolutionary programming for reconstruction of an irregularly sampled bandlimited sequence. In Bruno Bosacchi, David B.
Fogel, and James C. Bezdek, editors, Applications and Science of Neural Networks, Fuzzy Systems, and
Evolutionary Computation IV, volume SPIE-4479, pages 177–185, ?, November 2001. The International
Society for Optical Engineering. * www/SPIE Web ga01aCKalluri.
[1813] Kai Yen and Lajos Hanzo. Genetic algorithm based antenna diversity assisted multiuser detection for
synchronous. In IEEE VTS 53rd Vehicular Technology Conference, VTC 2001, volume 3, pages 1794–
1798, Rhodes, Greece, 6.-9. May 2001. IEEE, Piscataway, NJ. ga01aKYen.
[1814] Michael L. Hinman. Situation assessment and impact assessment activities in information fusion. In Ivan
Kadar, editor, Signal Processing, Sensor Fusion, and Target Recognition X, volume SPIE-4380, pages 351–
360, ?, August 2001. The International Society for Optical Engineering. * www/SPIE Web ga01aMLHinman.
[1815] Wen-Whei Chang and Heng-Iang Hsu. Constrained VQ codebook design for noisy channels. Electronics
Letters, 37(10):662–664, 10. May 2001. ga01aW-WChang.
[1816] Ying Tan and Jun Wang. Nonlinear blind source separation using higher order statistics and a genetic
algorithm. IEEE Transactions on Evolutionary Computation, 5(6):600–612, December 2001. ga01aYTan.
[1817] Wen-Whei Chang, Tan-Hsu Tan, and De-Yu Wang. Robust vector quantization for wireless channels.
IEEE Journal on Selected Areas in Communications, 19(7):1365–1373, July 2001. ga01bWen-WheiChang.
[1818] Fulvio Corno, Matteo Sonza Reorda, and Giovanni Squillero. Evolutionary techniques for minimizing test
signals application time. In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors,
Applications of Evolutionary Computing, EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN,
volume LNCS of 2279, pages 183–189, Kinsale (Ireland), 3.-4. April 2002. Springer-Verlag Berlin Heidelberg. * www /Springer ga02aFCorno.
[1819] Lourdes Araujo. Part-of-speech tagging with evolutionary algorithms. In A. Gelbukh, editor, Computational Linguistics and Intelligent Text Processing, Third International Conference, CICLing 2002, volume
LNCS of 2276, pages 230–239, Mexico City (Mexico), 17.-23. February 2002. Springer-Verlag Berlin Heidelberg. * www /Springer ga02aLAraujo.
[1820] Saied Abedi and Rahim Tafazolli. Genetically modified multiuser detection for code division multiple access
systems. IEEE Journal on Selected Areas in Communications, 20(2):463–473, February 2002. ga02aSAbedi.
[1821] Vinay Varadan and Henry Leung. Design of piecewise maps for chaotic spread-spectrum comminications
using genetic programming. IEEE Transactions on Circuits and Systems–I: Fundamental Theory and
Applications, 49(11):1543–1553, November 2002. ga02aVinayVaradan.
Bibliography
183
[1822] Jun an Yang, Bin Li, and Zhenquan Zhuang. Multi-verse parallel quantum genetic algorithm and its
application to blind source separation. In Proceedings of the 2003 IEEE International Conference on
Neural Networks and Signal Processing, volume 1, pages 393–398, Nanjing (China), 14.-17. December
2003. IEEE, Piscataway, NJ. ga03aJun-anYang.
[1823] Kenneth Francken and Georges G. E. Gielen. A high-level simulation and synthesis environment for ∆
modulators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 22(8):1049–
1061, August 2003. ga03aKFrancken.
[1824] Maryann D’Alessandro, Rosana Esteller, George Vachtsevanos, Arthur Hinson, Javier Echauz, and Brian
Litt. Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode
contacts: A report of four patients. IEEE Transactions on Biomedical Engineering, 50(5):603–615, May
2003. ga03aMDAlessandro.
[1825] Shung-Yung Lung. Distributed genetic algorithm for Gaussian mixture model based speaker identification.
Pattern Recognition, 36(10):2479–2481, October 2003. * www /ScienceDirect ga03aShung-YungLung.
[1826] Yen-Wei Chen, Shusuke Narieda, and Katsumi Yamashita. Blind nonlinear system identification based
on a constrained hybrid genetic algorithm. IEEE Transactions on Instrumentation and Measurement,
52(3):898–902, June 2003. ga03aYen-WeiChen.
[1827] Jun an Yang, Hui Peng, and Zhenquan Zhuang. Research of nonlinear blind source separation algorithm
based on quantum evolutionary neural network. In Proceedings of the 2003 IEEE International Conference
on Machine Learning and Cybernetics, volume 2, pages 835–840, Xi’an (China), 2.-5. November 2003.
IEEE, Piscataway, NJ. ga03bJun-anYang.
[1828] Christian Mayr and René Schüffny. Noise shaping in spiking neural nets - network design issues. In Circuits
and Systems, 2004. MWSCAS ’04. The 2004 47th Midwest Symposium on, volume 2, pages II–401–II–404,
?, 25.-28. July 2004. IEEE, Piscataway, NJ. ga04aCMayr.
[1829] Juho Kontio. Neuroevolution based artificial bandwidth expansion of telephone band speech [Neuroevoluutiopohjainen puhelinpuheen taajuuskaistan keinotekoinen laajentaminen]. Master’s thesis, Helsinki University of Technology, 2004. †www /TKK ga04aJuhoKontio.
[1830] Matthew J. W. Savage, Zoran Salcic, George Coghill, and Grant Covic. Extended genetic algorithm for
codesign optimization of DSP systems in FPGAs. In Proceedings of the 2004 IEEE International Conference
on Field-Programmable Technology, pages 291–294, ?, ? 2004. IEEE, Piscataway, NJ. ga04aMJWSavage.
[1831] A. Zahabi, O. Shoaei, Y. Koolivand, and P. Jabehdar-Maralani. A two-stage genetic algorithm method
for optimization the Σ∆ modulators. In Proceedings of the 2005 IEEE Design Automation Conference,
ASP-DAC 2005. Asia and South Pacific, pages 1212–1215, ?, 21.-23. March 2005. IEEE, Piscataway, NJ.
ga05aAZahabi.
[1832] Christian Mayr and René Schüffny. Applying spiking neural nets to noise shaping. IEICE Transactions
on Information and Systems, E88-D(?):1885–1892, ? 2005. †www /Google ga05aCMayr.
[1833] Gregory H. Wakefield, Chris van den Honert, Wendy Parkinson, and Sean Lineaweaver. Genetic algorithms for adaptive psychophysical procedures: recipient-directed design of speech-processor MAPs. Ear
& Hearing, 26(4):Supplement: 57S–72S, August 2005. * AHA ga05aGHWakefield.
[1834] D. A. Lampasi, L. Podestà, and P. Carbone. Synthesis of binary test sequences with good spectral
properties using an evolutionary algorithm. Measurement, 39(?):245–251, ? 2006. ga06aDALampasi.
[1835] Ståle Andreas Skogstad. [optimising delta-signa analog-to-digital converter filtering parameters]. Master’s
thesis, University of Oslo, 2006. ga06aSASkogstad.
[1836] Consuelo Pizarro, Isabel Esteban-Dı́ez, and José-Mariá González-Sáiz. Mixture resolution according to the
percentage of robusta variety in order to detect adulteration in roasted coffee by near infrared spectroscopy.
Analytica Chimica Acta, 585(?):266–276, ? 2007. ga07aCPizarro.
[1837] Deniz Baskent, Cheryl L. Eiler, and Brent Edwards. Using genetic algorithms with subjective input from
human subjects: Implications for fitting hearing aids and conclear implants. Ear & Hearing, 28(3):370–380,
June 2007. * AHA ga07aDBaskent.
[1838] Marja Ruotsalainen, Timo Ala-Kleemola, and Ari Visa. GAIS: A method for detecting interleaved sequential patterns from imperfect data. In Proceedings of the 2007 IEEE Symposium on Computational
Intelligence and Data Mining (CIDM 2007), pages 530–534, Honolulu, HI, 1.-5. April 2007. IEEE, Piscataway, NJ. ga07aMarjaRuotsalainen.
[1839] Pierrick Legrand, Claire Bourgeois-Republique, Vincent Péan, Esther Harboun-Cohen, Jacques LevyVehel, Bruno Frachet, Evelyne Lutton, and Pierre Collet. Interactive evolution for cochlear implants
fitting. Genetic Programming and Evolvable Machines, 8(4):319–354, December 2007. ga07aPLegrand.
184
[1840] Consuelo Pizarro, Isabel Esteban-Dı́ez, José-Mariá González-Sáiz, and Michele Forina. Use of near infrared
spectroscopy and feature selection techniques for predicting the caffeine content and roasting color in
roasted coffees. Journal of Agricultural and Food Chemistry, 55(?):7477–7488, ? 2007. ga07bCPizarro.
[1841] N. Balaji, K. Subba Rao, and M. Srinivasa Rao. Generation of six phase pulse compression sequences using
FPGA. In Proceedings of the International Conference on Computer Science and Information Technology
ICCSIT’08, pages 829–835, ?, 29. August- 2. September 2008. IEEE, Piscataway, NJ. ga08aNBalaji.
[1842] P. Agati and E. Mumolo. Data compression by means of fractal models and genetic optimization. In
?, editor, Proceedings of the Twelfth IASTED International Conference on Applied Informatics, pages
283–286, Annecy (France), 18.-20. May 1994. IASTED, Anaheim, CA. * CCA 65996/96 ga94aAgati.
[1843] W. Crompton, S. Hurley, and N. M. Stephens. Applying genetic algorithms to frequency assignment
problems. In ?, editor, Neural and Stochastic Methods in Image and Signal Processing III, volume SPIE2304, pages 76–84, San Diego, CA, 28. -29. July 1994. The International Society for Optical Engineering.
* A95-17244 ga94aCrompton.
[1844] James F. Doyle. A genetic algorithm for determining the location of structural impacts. Experimental
Mechanics, 34(1):37–44, March 1994. ga94aDoyle.
[1845] Richard J. Hampo, Bruce D. Bryant, and Kenneth A. Marko. IC engine misfire detection algorithm generation using genetic programming. In Proceedings of the Second European Congress on Intelligent Techniques
and Soft Computing (EUFIT’94), volume 3, pages 1674–1578, Aachen (Germany), 20.-23. September 1994.
ELITE-Foundation. ga94aHampo.
[1846] Randy L. Haupt. Thinned arrays using genetic algorithms. IEEE Transactions on Antennas and Propagation, 42(7):993–999, July 1994. ga94aHaupt.
[1847] P. Ilavasaran, E. J. Rothwell, R. Bebermeyer, K. M. Chen, and D. P. Nyquist. Natural resonance extraction
from multiple data sets using a genetic algorithm. In Proceedings of the IEEE Antennas and Propagation
Society International Symposium, volume 1, pages 576–579, Seattle, WA, 19.-24. June 1994. IEEE, New
York. * P63648/95 EI M051414/95 ga94aIlavasaran.
[1848] Anna Loskiewicz-Buczak and Robert E. Uhrig. Determination of fuzzy decision fusion system parameters
by genetic algorithms. In ?, editor, Applications of artificial neural networks V, volume SPIE-2243, pages
142–153, Orlando, FL, 5. -8. April 1994. The International Society for Optical Engineering. * A95-12836
ga94aLoskiewicz-B.
[1849] Keith E. Mathias, Darrell L. Whitley, Christof Stork, and Tony Kusuma. Staged hybrid genetic search for
seismic data imaging. In ICEC’94 [2405], pages 356–361. ga94aMathias.
[1850] Sadayoshi Mikami and Yukinori Kakazu. Genetic reinforcement learning for cooperative traffic signal
control. In ICEC’94 [2405], pages 223–228. ga94aMikami.
[1851] Jorge Luis Mora, Benjamin C. Flores, and Vladik Kreinovich. Suboptimum binary phase code search
using a genetic algorithm. In S. S. Udpa and H. C. Han, editors, Advances Microwave and MillimiterWave Detectors, volume SPIE-2275, pages 168–176, San Diego, CA, 25. -26. July 1994. The International
Society for Optical Engineering. ga94aMora.
[1852] R. H. Jones, C. M. Rayne, and U. Lindblom. The use of a genetic algorithm for the optimal-design of
microseismic monitoring networks. In ?, editor, Rock Mechanics in Petroleum Engineering, pages 615–620,
Delft (Netherland), 29.-31. August 1994. A a Balkema, Rotterdam. †P63667/94 ga94aRHJones.
[1853] S. G. Ng, C. Y. Chung, S. H. Leung, and A. Luk. An evolutionary search algorithm for adaptive IIR equalizer. In Proceedings of the 1994 IEEE International Symposium on Circuits and Systems (Digital Signal
Processing), volume 2, pages 53–56, London (UK), 30. May- 2. June 1994. IEEE, New York. ga94aSGNg.
[1854] T. Sawaragi, J. Umemura, O. Katai, and S. Iwai. Integrating multiple knowledge sources using genetic
algorithm applied to hierarchically structured sensor data. In Proceedings of the 1994 IEEE International
Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI’94), pages 395–402, Las
Vegas, NV, 2.-5. October 1994. IEEE, New York. * CCA 42425/95 ga94aSawaragi.
[1855] Dan Simon and Hossny El-Sherief. Fuzzy phase-locked loops. In Proceedings of the 1994 IEEE Position,
Location, and Navigation Symposium, pages 252–259, Las Vegas, NV, 11.-15. April 1994. IEEE, New York.
* EI M179262/94 ga94aSimon.
[1856] Takashi Kitaguchi. Signal processor, 1994.
fi.espacenet.com ga94aTKitaguchi.
(JP patent no. 6325190. Issued November 25 1994)
*
[1857] A. Tennant, M. M. Dawoud, and A. P. Anderson. Array pattern nulling by element position perturbations
using a genetic algorithm. Electronics Letters, 30(3):174–176, 3. February 1994. ga94aTennant.
Bibliography
185
[1858] Don Waagen, J. D. Argast, and John R. McDonnell. Evolving wavelet compression strategies. In Sebald
and Fogel [2407], page ? †conf.prog ga94aWaagen.
[1859] David Andre. Learning and upgrading rules for an OCR system using genetic programming. In ICEC’94
[2405], pages 462–467. ga94bAndre.
[1860] C. H. Chu. Genetic algorithm approach to the configuration of wavelet packet processing tree. In
Proceedings of the 12th IAPR International Conference on Pattern Recognition, volume 3, pages 53–56,
Jerusalem (Israel), 9.-13. October 1994. IEEE Computer Society Press, Loa Alamitos, CA. * EEA58558/94
ga94bChu.
[1861] T. Hachino, Zi-Jiang Yang, and T. Tsuji. Identification of continuous time-delay systems using the genetic
algorithm. Trans. Inst. Syst. Control Inf. Eng. (Japan), 7(4):113–121, April 1994. (in Japanese) * CCA
58362/94 ga94bHachino.
[1862] Jacques Lévy Véhel, Khalid Daoudi, and Evelyne Lutton. Fractal modeling of speech signals. Fractals,
2(3):379–382, September 1994. †Lutton ga94bLevy-Vehel.
[1863] Masahiro Tanaka, Hisashi Koga, and Tetsuzo Tanino. An application of the genetic algorithm to the structure determination of a neural network. Transactions of the Institute of Systems, Control and Information
Sciences, 7(12):528–530, ? 1994. (in Japanese) ga94bMTanaka.
[1864] A. Prochazka and V. Sys. Application of genetic algorithms for wavelet networks signal modelling. In ?,
editor, Proceedings of the Seventh European Signal Processing Conference, volume 2, pages 1078–1081, Edinburgh, UK, 13.-16. September 1994. Eur. Assoc. Signal Process, Lausanne, Switzerland. * EEA36424/96
ga94bProchazk.
[1865] J. Solano and D. F. Garcia Nocetti. Implementation of a parametric spectral estimator using genetic
algorithms. In International Conference on Control’94, volume 1 of IEE Conference Publication No. 389,
pages 754–759, Coventry (UK), 21.-24. March 1994. IEE, London. * CCA 51948/94 ga94bSolano.
[1866] Andreas Klappenecker and Frank U. May. Evolving better wavelet compression schemes. In Andrew F.
Laine, Michael A. Unser, and Mladen V. Wickerhauser, editors, Wavelet Applications in Signal and Image
Processing III, volume SPIE-2569, pages 614–622, ?, September 1995. The International Society for Optical
Engineering. ga95aAKlappenecker.
[1867] Jarmo T. Alander and William F. Nice. Genetic algorithms for multiuser detection. In Alander [2443],
pages 23–34. (available via anonymous ftp site ftp.uwasa.fi directory cs/1NWGA file Alander1.ps.Z)
ga95aAlander.
[1868] Robert W. Amphlett and David R. Bull. Multiprocessor scheduling for high quality digital audio. In
IEE Electronics Division Colloquium on Multiprocessor DSP, number 116, pages 2/1–2/8, London (UK),
31. May 1995. IEE, Stevenage (UK). * EI M176474/95 ga95aAmphlett.
[1869] Y. Ashida, K. Ohnishi, H. Ohmori, and A. Sano. Separable estimation of line and continuous spectra
by use of genetic algorithm. Transactions of the Society of Instrument and Control Engineers (Japan),
31(11):1800–1809, 1995. * CCA 10204/96 ga95aAshida.
[1870] R. G. Benton. Using genetic algorithms to improve interpretation of satellite data. In Proceedings of the
33rd Annual Southeast Conference, pages 143–145, Clemson, CA, 17.-18. March 1995. ACM, New York,
NY. †CCA 77174/95 EI M195252/95 ga95aBenton.
[1871] Francesco Beritelli, Salvatore Casale, and Marco Russo. Robust phase reversal tone detection using soft
computing. In Proceedings of the 3rd International Symposium on Uncertainty Modeling and Analysis and
Annual Conference of the North American Fuzzy Information Processing Society, pages 589–594, College
Park, MD, 17.-20. September 1995. IEEE. †EI M028006/95 ga95aBeritelli.
[1872] Volker Delport and M. Koschorreck. Genetic algorithm for codebook design in vector quantisation. Electronics Letters, 31(2):84–85, 19. January 1995. ga95aDelport.
[1873] Jaime J. Fernandez. Myoelectric signal recognition using genetic programming. Master’s thesis, Rice
University, MEMS Department, 1995. †[1910] ga95aFernandez.
[1874] J. B. Golden. Evolutionary optimization of a neural network-based signal processor for photometric data
from an automated DNA sequencer. In McDonnell et al. [2410], page ? †conf.prog ga95aGolden.
[1875] S. Hurley and D. H. Smith. Fixed spectrum frequency assignment using simulated annealing. In IEE/IEEE
Sheffield ’95 [2427], pages 373–378. †conf.prog ga95aHurley.
[1876] Jason H. Moore. Artificial intelligence programming with LabVIEW: genetic algorithms for instrumentation control and optimization. Computer Methods and Programs in Biomedicine, 47(1):73–79, June 1995.
* ga95aJHMoore.
186
[1877] Rhee M. Kil. Learning with genetic algorithm. In Korea-Australia EC’95 [2428], pages 43–50. ga95aKil.
[1878] Michael Levin. Practical handbook of genetic algorithms. volume 2, Applications, chapter 2. Locating
putative protein signal sequences, pages 53–66. CRC Press, Boca Raton, FL, 1995. ga95aLevin.
[1879] Mikio Ikuta. Method for voice analysis utilizing genetic algorithm, 1995. (JP patent no. 7114397. Issued
May 2 1995) * fi.espacenet.com ga95aMIkuta.
[1880] R. J. May, A. Hewitt, G. A. Poland, and P. J. Beadle. Perceptual content loss in bit rate constrained IFS
encoding of speech. In IEE/IEEE Sheffield ’95 [2427], pages 325–330. †conf.prog ga95aMay.
[1881] Z. R. Petrovic, S. L. Ivanovic, and Z. A. Spasic. Integration of neural networks and genetic algorithms:
an example of machine noise diagnosis. In Proceedings of the First World Congress on Intelligent Manufacturing Processes and Systems, volume 2, pages 962–971, San Juan, Puerto Rico, 13.-17. February 1995.
Univ. Puerto Rico, San Juan, Puerto Rico. †CCA33245/97 ga95aPetrovic.
[1882] V. W. Porto. Non-acoustic sensor array localization using evolutionary programming. In McDonnell et al.
[2410], page ? †conf.prog ga95aPorto.
[1883] Andrew Rimell and Malcolm O. Hawksford. Loudspeaker polar error concealment by means of digital
filters designed with genetic algorithms. In IEE/IEEE Sheffield ’95 [2427], pages 256–270. †conf.prog
ga95aRimell.
[1884] Ken C. Sharman, Anna I. Esparcia Alcázar, and Y. Li. Evolving signal processing algorithms by genetic
programming. In IEE/IEEE Sheffield ’95 [2427], pages 473–480. †conf.prog ga95aSharman.
[1885] Y. Sano, M. Shiozawa, K. Nakamura, Hrochika Inoue, Takao Yokota, and T. Inoue. Traffic signal control
system based on genetic algorithm. In Proceedings of the Second World Congress on Intelligent Transport
Systems ’95, volume 1, pages 36–39, Yokohama (Japan), 9.-11. November 1995. Vehicle, Road & Traffic
Intelligence Soc., Tokyo (Japan). †CCA55315/97 ga95aYSano.
[1886] R. J. Abbott, W. E. Lillo, and N. Schulenburg. A hybrid genetic algorithm for resolving closely spaced
objects. In ?, editor, The 1995 Proceedings of the 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies, pages 155–162, Goddard Space Flight Center,
May 1995. NASA. * N95-27387 ga95bAbbott.
[1887] Mark P. Carol. Peacock: a system for planning and rotational delivery of intensity-modulated fields. Int
J Imaging Syst Technol, 6(1):56–61, 1995. †EI M168660/95 ga95bCarol.
[1888] Dekun Yang and Stuart J. Flockton. An evolutionary algorithm for parametric array signal processing.
In ?, editor, Proceedings of the Evolutionary Computing. AISB Workshop. Selected Papers, pages 191–199,
Sheffield (UK), 3.-4. April 1995. Springer-Verlag, Berlin (Germany). †EEA4661/96 ga95bDYang.
[1889] H. Hamada, N. Takashima, and P. A. Nelson. Genetic algorithms used, for active control of soundsearch and identification of noise sources. In S.Sommerfeldt and H.Hamada, editors, Proceedings of the
1995 International Symposium on Active Control of Sound and Vibration, page ?, Newport Beach, CA,
6.-8. July 1995. Noise Control Foundation. Poughkeepsie. †P67333 ga95bHamada.
[1890] Andrew B. Horner. Wavetable matching synthesis of dynamic instruments with genetic algorithms. Journal
of the Audio Engineering Society, 43(11):916–931, 1995. †EI M020278/95 ga95bHorner.
[1891] Ponniah Ilavarasan, Edward J. Rothwell, Kun-Mu Chen, and Dennis P. Nyquist. Natural resonance extraction from multiple data sets using a genetic algorithm. IEEE Transactions on Antennas and Propagation,
43(8):900–904, August 1995. ga95bIlavarasan.
[1892] Marc M. Lankhorst and M. D. van der Laan. Wavelet-based signal approximation with genetic algorithms.
In McDonnell et al. [2410], page ? †conf.prog ga95bLankhorst.
[1893] Rustom Mamlook and Wiley E. Thompson. Multiple-class identification algorithm using genetic neural
networks. In Proceedings of the 1995 Signal Processing, Sensor Fusion, and Target Recognition, volume
2484, pages 681–688, Orlando, FL, 17.-19. April 1995. Society of Photo-Optical instrumentation Engineers,
Bellingham, WA. †EI M022177/95 ga95bMamlook.
[1894] André Neubauer. Linear signal estimation using genetic algorithms. In Proceedings of the IMACS Symposium on Systems Analysis and Simulation, volume 18-19, pages 349–352, Berlin (Germany), 26.-30. June
1995. Syst. Anal. Model. Simul. (Switzerland). †CCA61533/95 ga95bNeubauer.
[1895] R. G. Ojeda, Fernando M. de Azevedo, and Jorge M. Barreto. Genetic algorithms in the optimal choice of
neural networks for signal processing. Midwest Symp Circuits Syst, 2(?):1361–1364, 1995. †EI M129874/96
ga95bOjeda.
Bibliography
187
[1896] Marcello Pelillo, Fabio Abbattista, and Angelo Maffione. An evolutionary approach to training relaxation
labeling processes. Pattern Recognition Letters, 16(10):1069–1078, October 1995. ga95bPelillo.
[1897] S. Yao, C. J. Wei, and Z. Y. He. Optimization of wavelet neural network using evolutionary programming.
In ?, editor, Proceedings of International Conference on Neural Network Using Evolutionary Programming,
volume 1, pages 313–316, Beijing, China, 30. October-2. November 1995. Publishing House of Electron.
Ind, Beijing (China). †CCA26587/96 ga95bSYao.
[1898] A. Sano, Y. Ashida, and K. Ohnishi. Estimation of mixed spectrum using genetic algorithm. In Proceedings
of the 1995 Intenational Conference on Acoustics, Speech, and Signal Processing, volume 3, pages 1625–
1628, Detroit, MI, 9.-12. May 1995. IEEE, New York. †CCA1612/95 ga95bSano.
[1899] T. Watanabe and H. Takagi. Recovering system of the distorted speech using interactive genetic algorithms.
In Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, volume 1,
pages 684–689, Vancouver, BC (Canada), 22.-25. October 1995. IEEE 1995, New York, NY. †CCA5055/96
ga95bWatanabe.
[1900] Ying Yuan Zhang, S. H. Levine, and J. G. Kreifeldt. Mixed genetic strategies for point pattern reconstruction with substantially incomplete information. In Proceedings of the 1995 International Conference
on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, volume 2, pages 1539–1543,
Vancouver, BC (Canada), 22.-25. October 1995. IEEE, New York, NY. †EEA5348/96 ga95bYYZhang.
[1901] André Neubauer. Real-coded genetic algorithms for bilinear signal estimation. In D. Schipanski, editor,
Tagungsband des 40. Internationalen Wissenschaftlichen Kolloquiums, volume 1, pages 347–352. Ilmenau
(Germany), ? 1995. †[2445] ga95cNeubauer.
[1902] Jarmo T. Alander and William F. Nice. Genetic algorithms for multiuser detection, some preliminary
results. In Proceedings of the 1995 Finnish Signal Processing Symposium, FINSIG’95, pages 21–25,
Espoo (Finland), 2. June 1995. Helsinki University of Terchnology, Faculty of Electrical Engineering.
ga95lAlander.
[1903] T. Arslan, E. Ozdemir, M. S. Bright, and David H. Horrocks. Genetic synthesis techniques for low-power
digital signal processing circuits. In ? [2431], page ? ga96aArslan.
[1904] B. T. G. Tan and S. M. Lim. Automated parameter optimization for douple frequency modulation synthesis
using the genetic annealing algorithm. Journal of the Audio Engineering Society, 44(1-2):3–15, 1996. †EI
M063210/96 ga96aBTGTan.
[1905] M. S. Bright and T. Arslan. A genetic framework for the high-level optimisation of low power VLSI DSP
systems. In ? [2431], page ? ga96aBright.
[1906] Jesus Silva Castro. Electrocardiographic signal analysis using genetic algorithms (GAs). In Proceedings of the 1996 23rd Annual Meeting on Computers in Cardiology, pages 445–448, Indianapolis, IN, 8.11. September 1996. IEEE Computer Society Press, Los Alamitos, CA. * EEA 49615/97 EI M034806/97
ga96aCastro.
[1907] D. H. Ryu, C. R. Kim, S. W. Kim, T. W. Choi, and J. C. Kim. Motion search region prediction using neural
network vector quantization. In Proceedings of the 3rd International Conference on Signal Processing,
volume 2, pages 1473–1476, Beijing (China), 14.-18. October 1996. IEEE, New York, NY. †CCA70907/97
ga96aDHRyu.
[1908] E. Mumolo. Automatic formant estimation and tracking with a genetic algorithm. In ?, editor, Proceedings
of the Fourteenth International Conference Applied Informatics, volume ?, pages 46–48, Innsbruck, Austria,
20.-22. February 1996. IASTED-ACTA Press, Anaheim, CA (USA). †CCA29565/98 ga96aEMumolo.
[1909] Jaime J. Fernandez and John B. Cheatham. Myoelectric signal recognition using genetic programming. In
Parmee and Denham [2430], page ? †conf.prog ga96aFernandex.
[1910] Jaime J. Fernandez, Kristin A. Farry, and John B. Cheatham. Waveform recognition using genetic programming: The myoelectric signal recognition problem. In Koza et al. [2412], pages 63–71. ga96aFernandez.
[1911] David B. Fogel and Lawrence J. Fogel. Preliminary experiments on discriminating between chaotic signals.
In Koza et al. [2412], page ? †conf.prog ga96aFogel.
[1912] Aleš Gottvald. Meta-evolutionary optimization: Applications to magnetic resonance in extreme conditions.
In Pavel Ošmera, editor, Proceedings of the MENDEL’96, pages 47–51, Brno (Czech Republic), June 1996.
Technical University of Brno. ga96aGottvald.
[1913] Guanghua Qiu and Chaohuan Hou. A new fast algorithm for the estimation of block motion vectors. In
Proceedings of the 3rd International Conference on Signal Processing, volume 2, pages 1233–1236, Beijing
(China), 14.-18. October 1996. IEEE, New York, NY. †CCA70892/97 ga96aGuangQiu.
188
[1914] Isoo Ueno and Shizuo Shiokawa. Waveform data compressing method, 1996. (JP patent no. 8123498.
Issued May 17 1996) * fi.espacenet.com ga96aIUeno.
[1915] J.-M. Vesin. High resolution spactral analysis using a combination of an orthogonal approach and a genetic
algorithm. In ?, editor, Proceedings of the Eighth European Signal Processing Conference, volume 3, pages
2013–2016, Trieste, Italy, 10.-13. September 1996. Edizioni LINT Trieste, Trieste, Italy. †EEA38890/98
ga96aJ-MVesin.
[1916] J. S. Pan, F. R. McInnes, and M. A. Jack. Application of parallel genetic algorithm and property of multiple
global optima to VQ codevector index assignment for noisy channels. Electronics Letters, 32(4):296–297,
15. February 1996. ga96aJSPan.
[1917] Per Jonsson and Jonas Barklund. Characterizing signal behaviour using genetic programming. In Fogarty?
[2432], pages 79–88. ga96aJonsson.
[1918] N. Laskaris, A. Bezerianos, S. Fotopoulos, and P. Papathanasopoulos. A genetic algorithm for the multidimensional filtering process of visual evoked potential signals. In Proceeding of the 18th Annual International
Conference of the IEEE Engineering in Medicine and Biology Society, volume 4, pages 1553–1554, Amsterdam, Netherlands, 31. oct- 3. nov ? 1996. IEEE, New York, NY. †CCA73026/98 ga96aLaskaris.
[1919] A. Malanda, A. R. Figueiras-Vidal, and G. Cain. Adaptive + Darwinian approach for the estimation and
tracking of time delays. In ?, editor, Proceedings of the Eighth European Signal Processing Conference,
volume 1, pages 196–199, Trieste, Italy, 10.-13. September 1996. Edizioni LINT Trieste, Trieste, Italy.
†CCA12900/98 ga96aMalanda.
[1920] Roberto Menozzi, Aurelio Piazzi, and Fabrizio Contini. Small-signal modelling for microwave FET linear
circuits based on a genetic algorithm. IEEE Transactions on Circuits and Systems – I: Fundamental
Theory and Applications, 43(10):839–847, October 1996. ga96aMenozzi.
[1921] Peng Chen, Toshio Toyota, and Masami Nasu. Self-reorganization method of symptom parameters for
failure diagnosis by genetic algorithms. In Proceedings of the 1996 IEEE 22nd International Conference on
Industrial Electronics, Control, and Instrumentation (IECON), volume 2, pages 829–835, Taipei (Taiwan),
5.-10. August 1996. IEEE Computer Society Press, Los Alamitos, CA. ga96aPChen.
[1922] P. Koch, N. Larsen, T. Bauer, and O. Ejlersen. GENETICAS: a multi-DSP scheduling technique based on
genetic algorithms. In Proceedings of the Conference Record of Thirtieth Asilomar Conference on Signals,
Systems and Computers, volume 2, pages 1391–1395, Pacific Grove, CA (USA), 3.-6. November 1996. IEEE
Computer Society Press, Los Alamitos, CA. †CCA95279/97 ga96aPKoch.
[1923] Phil Mars, J. R. Chen, and Raghu Nambiar. chapter 4. Genetic and evolutionary optimisation, pages
53–140. CRC Press, Boca Raton, FL, 1996. ga96aPhilMars.
[1924] Richard R. Brooks, S. S. Iyengar, and Jianhua Chen. Automatic correlation and calibration of noisy sensor
readings using elite genetic algorithms. Artificial Intelligence, 84(1-2):339–354, July 1996. ga96aRRBrooks.
[1925] Reza Sahandi and Daniel S. G. Vine. A genetic algorithm approach for obtaining diphone durations
for English speech synthesis. In ?, editor, Proceedings of the DSP96 Scandinavia, page ?, Copenhagen
(Denmark), 18.-19. June 1996. ? †prog. ga96aSahandi.
[1926] Tetsuo Sawaragi, Jun Umemura, Osamu Katai, and Sosuke Iwai. Fusing multiple data and knowledge
sources for signal understanding by genetic algorithm. IEEE Transactions on Industrial Electronics,
43(3):411–421, June 1996. ga96aSawaragi.
[1927] R. Singh, P. S. Moharir, and V. M. Maru. Eugenic algorithm-based search for ternary pulse compression
sequences. J. Inst. Electron. Telecommun. Eng. (India), 42(1):11–19, 1996. †EEA86281/96 ga96aSingh.
[1928] Tony Hirst. Evolving adaptive systems – on the role of learning and fault tolerance in evolution. In
Proceedings of the Second Online Workshop on Evolutionary Computation (WEC2), pages 57–60, Nagoya
(Japan), 4.-22. March 1996. ? ga96aTHirst.
[1929] T. Z. Jiang and S. Dema. Cluster-analysis using genetic algorithms. In B. Z. Yuan and X. F. Tang,
editors, Proceedings of the 3rd International Conference on Signal Processing (ICSP96), volume 1, pages
1277–1279, Beijing (China), 14.-18. October 1996. IEEE, New York. †P74140/97 ga96aTZJiang.
[1930] Gene Tagliarini and Edward Page. Genetic algorithms for adaptive wavelet design. In Harold H. Szu,
editor, Wavelet Applications III, volume SPIE-2762, pages 82–93, Orlando, FL, 8. -12. April 1996. The
International Society for Optical Engineering, Bellingham, WA. ga96aTagliarini.
[1931] Y. S. Tarng and J. L. Lang. Genetic synthesis of a fuzzy pulse discriminator in electrical discharge
machining. J. Intell. Manuf., 7(4):311–318, August 1996. * CCA 79552/96 ga96aTarng.
Bibliography
189
[1932] Astro Teller. Algorithm evolution for signal understanding. In Proceedings of the Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference, volume 2, page 1373, Portland, OR, 4.-8. August 1996. MIT Press, Cambridge, MA. †CCA56538/97
ga96aTeller.
[1933] G. Turhan-Sayan, K. Leblebicioglu, and S. Inan. The use of genetic algorithms in input signal shaping
for target identification. In ?, editor, Proceedings of the USNC/URSI Radio Science Meeting, page 21,
Baltimore, MD, July 1996. ? †[2448] ga96aTurhan-Sayan.
[1934] René J. van der Vleuten and Jos H. Weber. Optimized signal constellations for trellis coded modulation
on AWGN channels. IEEE Transactions on Communications, 44(6):646–648, June 1996. ga96aVleuten.
[1935] Y. Ashida, H. Ohmori, and A. Sano. Genetic algorithm based mixed spectrum estimation for discrimination
of sinusoids and ARMA noise. In Proceedings of the 13th World Congress International Federation of
Automatic Control, pages 309–314, San Francisco, CA, 30. jun- 5. jul ? 1996. Pergamon, Oxford (UK).
†CCA58460/98 ga96aYAshida.
[1936] A. Balestrino, F. Bini Verona, A Caiti, and R. Landi. A hybrid genetic algorithm for binary channel
equalization. In Proceedings of the International ICSC Symposia on Intelligent Industrial Automation and
Soft Computing, pages B166–170, Reading, UK, 26.-28. March 1996. Int. Comput. Sci. Conventions, Millet,
Alta (Canada). †EEA98357/96 ga96bBalestri.
[1937] M. S. Bright and T. Arslan. Genetic framework for the high level optimisation of low power VLSI DSP
systems. Electronics Letters, 32(13):1150–1151, 20. June 1996. ga96bBright.
[1938] Sunghyun Choi and Wee-Keong Ng. Vector quantizer design using genetic algorithms. In Proceedings of
the Data Compression Conference, page 430, Snowbird, UT, 31. March-3. April 1996. IEEE Computer
Society Press, Los Alamitos , CA. †EEA86090/96 ga96bChoi.
[1939] Volker Delport and J. S. Pan. VQ codebook design using genetic algorithm (comment and reply). Electronics Letters, 32(3):193–194, 1996. ga96bDelport.
[1940] Anna I. Esparcia Alcázar and Ken C. Sharman. Genetic programming techniques that evolve recurrent
neural network architectures for signal processing. In Proceedings of the 1996 IEEE Signal Processing
Society Workshop, pages 139–148, Kyoto (Japan), 4.-6. September 1996. IEEE, New York, NY. †CCA
90073/96 ga96bEsparcia.
[1941] Fushuan Wen and Zhenxiang Han. A refined genetic algorithm for fault section estimation in power systems
using the time sequence information of circuit breakers. Electr. Mach. Power Syst. (USA), 24(8):801–815,
December 1996. * EEA 50294/97 ga96bFWen.
[1942] Andrew B. Horner and James Beauchamp. A genetic algorithm-based method for synthesis of low peak
amplitude signals. J. Acoust. Soc. Am. (USA), 99(1):433–443, 1996. †CCA33644/96 ga96bHorner.
[1943] J. S. Pan, F. R. McInnes, and M. A. Jack. Application of parallel genetic algorithm and property of multiple
global optima to VQ codevector index assignment for noisy channels. Electronics Letters, 32(4):296–297,
1996. ga96bJSPan.
[1944] N.-M. Cheung and Andrew B. Horner. Group synthesis with genetic algorithms. Journal of the Audio
Engineering Society, 44(3):130–147, 1996. †EEA68942/96 ga96bN-MCheung.
[1945] San-Kuen Chan and Andrew B. Horner. Discrete summation synthesis of musical instrument tones using genetic algorithms. Journal of the Audio Engineering Society, 44(7-8):581–592, 1996. †EEA109965
ga96bS-KChan.
[1946] S. Kwong, C. W. Chau, and Wolfgang Halang. Genetic algorithm for optimizing the nonlinear time alignment of automatic speech recognition systems. IEEE Transactions on Industrial Electronics, 43(5):559–566,
October 1996. ga96bSKwong.
[1947] D. Wenzel, H. Borsi, and E. Gockenbach. New approach for partial discharge recognition on transformers
on-site by means of genetic algorithms. In Proceedings of the 1996 IEEE International Symposium on Electrical Insulation, volume 1, pages 57–60, Montreal, Que (Canada), 16.-19. June 1996. IEEE, Piscataway,
NJ. * EI M159235/96 ga96bWenzel.
[1948] Andrew B. Horner. Double-modulator FM matching of instrument tones. Comput. Music J., 20(2):57–71,
1996. †EI M142713/96 ga96cHorner.
[1949] J. S. Pan, F. R. McInnes, and M. A. Jack. VQ codevector index assignment using genetic algorithms
for noisy channels. In Proceedings of the 1996 International Conference on Spoken Language Processing,
ICSLP, volume 1, pages 295–298, Philadelphia, PA, 3.-6. October 1996. IEEE, Piscataway, NJ. †EI
M169017/97 ga96cJSPan.
190
[1950] Andrew B. Horner. Computation and memory tradeoffs with multiple wavetable interpolation. Journal of
the Audio Engineering Society, 44(6):481–496, 1996. †EI M126494/96 ga96dHorner.
[1951] T. Arslan, E. Ozdemir, M. S. Bright, and D. H. Horrocks. Genetic synthesis techniques for low-power digital
signal processing circuits. In IEE Colloquium on ‘Digital System Design Using Synthesis Techniques’,
volume IEE Digest No. 1996/029, pages 1/1–1/5, London, 15. February 1996. IEE, London. * EEA
39443/96 ga96eArslan.
[1952] Andrew B. Horner and James Beauchamp. Piecewise-linear approximation of additive synthesis envelopes:
a comparison of various methods. Comput. Music J., 20(2):72–95, 1996. †EI M139685/96 ga96eHorner.
[1953] Aftab Ali Khan and M. A. Zohdy. A genetic algorithm for selection of noisy sensor data in multisensor data
fusion. In ?, editor, Proceedings of the 15th American Control Conference, volume 4, pages 2256–2262,
Albuquerque, NM, 4.-6. June 1997. American Automatic Control Council, Evanston, IL. †A98-15605
ga97aAAKhan.
[1954] Edward M. Bassett and Sylvia S. Shen. Information theory-based selection for multispectral systems.
In ?, editor, ?, volume SPIE-3118, pages 28–35, San Diego, CA (USA), 28.-30. July 1997. Society of
Photo-Optical Instrumentation Engineers, Bellingham, WA. †A98-11755 ga97aBassett.
[1955] C. G. Lim and J. S. Bedi. Evolutionary programming for adaptive wavelets applied to speaker verification.
In Proceedings of the Conference on Wavelet Applications V, volume SPIE-3078, pages 581–589, Orlando,
FL, 22.-24. April 1997. SPIE. †CCA62134/97 ga97aC-GLim.
[1956] C. W. Chau, S. Kwong, C. K. Diu, and W. R. Fahrner. Optimization of HMM by a genetic algorithm.
In Proceedings of the 1997 IEEE International Conference on acoustics, Speech, and Signal Processing,
pages 1727–1730, Munich (Germany), 21.-24. April 1997. IEEE Computer Society Press, Los Alamitos ,
CA. †P75734 ga97aCWChau.
[1957] Ching-Tang Hsieh, E. Lai, and You-Chuang Wang. Distributed fuzzy rules for preprocessing of speech
segmentation with genetic algorithm. In Proceedings of the Sixth IEEE International Conference on Fuzzy
Systems, volume 1, pages 427–431, Barcelona, Spain, 1.-5. July 1997. IEEE, New York, NY. †CCA79669/97
ga97aChiHsieh.
[1958] Stuart J. Clement. Genetic algorithm in dynamic traffic signal timing: the CabalBLmodel. Master’s thesis,
University of South Australia, 1997. †[2449] ga97aClement.
[1959] E. M. Nguyen and N. R. Prasad. Automatic resonant cacellation using genetic search. volume SPIE-3068,
pages 308–315. Proc. SPIE - Int. Soc. Opt. Eng. (USA), 1997. †EEA42305/98 ga97aEMNguyen.
[1960] Frode E. Sandnes and Craig Robertson. A novice’s interface to programming digital synthesizers based
on genetic algorithms. The Journal of the Acoustical Society of America, 102(5):3182, November 1997.
†NASA ADS ga97aFESandnes.
[1961] Pasi Fränti, Juha Kivijärvi, Timo Kaukoranta, and Olli Nevalainen. Genetic algorithms for codebook
generation in vector quantization. In Alander [2415], pages 207–222. (available via anonymous ftp site
ftp.uwasa.fi directory cs/3NWGA file Franti.ps.Z) ga97aFranti.
[1962] G. Chen and L. Hong. A genetic algorithm based multi-dimensional data assocoation algorithm for multisensor-multi-target tracking. Math. Comput. Model. (UK), 26(4):57–69, 1997. †CCA4127/98 ga97aGChen.
[1963] G. W. Grewal and T. C. Wilson. Shake and bake: a method of mapping code to irregular DSPs. In
Proceedings of the 1997 10th International Conference on VLSI Design, pages 506–508, Hyderabad, India,
4.-7. January 1997. IEEE, Los Alamitos, CA. †EI M088618/97 ga97aGrewal.
[1964] H. Blume, O. Franzen, and M. Schmidt. Optimizing video signal processing algorithms by evolution
strategies. In Proceedings of the International Conference, 5th Fuzzy Days, pages 547–548, Dortmund
(Germany), 28.-30. April 1997. Springer-Verlag, Berlin (Germany). †CCA73878/97 ga97aHBlume.
[1965] H. Cai and Y. Li. Estimation of fractal signals by wavelets and GAs. In George D. Smith and Nigel C.
Steele, editors, Proceedings of the International Conference on Artificial Neural Networks and Genetic
Algorithms, pages 126–128, Norwich, UK, 2.-4. April 1997. ga97aHCai.
[1966] Haruo Ogiwara and Kenji Anzai. Modeling of time-correlated fading channel for analysis of trelliscoded modulation system. Electron Commun Jpn Part III Fundam Electron Sci., 80(10):1–8, 1997. †EI
M019962/98 ga97aHaruoOgiwara.
[1967] Jens E. Gayko, Reinhard Lohmann, Heiko Voss, Bernhard Sendhoff, and Thomas Zamzow. Application
of structure evolution to sytem state diagnosis. In A. B. Bulsari and S. Kallio, editors, Proceedings of the
1997 International Conference on Engineering Applications of Neural Networks, pages 233–236, Stockholm
(Sweden), 16.-18. June 1997. Systeemitekniikan seura ry, Turku (Finland). ga97aJEGayko.
Bibliography
191
[1968] J. R. Chen, Raghu Nambiar, and Phil Mars. Learning Algorithms: Theory and Applications in Signal
Processing, Control and Communications. Electronic Engineering Systems. CRC Press, Boca Raton, FL,
1997. †www.amazon.com ga97aJRChen.
[1969] J. Yuen and Andrew B. Horner. Hybrid sampling-wavetable synthesis with genetic algorithms. Journal of
the Audio Engineering Society, 45(5):316–330, 1997. †EEA78034/97 ga97aJYuen.
[1970] K. F. Man and K. S. Tang. Genetic algorithms for control and signal processing. In Proceedings of the
23rd International Conference on Industrial Electronics, Control, and Instrumentation, volume 4, pages
1541–1555, New Orleans, LA, 10.-14. November 1997. IEEE. ga97aKFMan.
[1971] Shane Konsella. Use of a genetic algorithm to optimize memory space, 1997. (U. S. patent no. 5,651,099.
Issued July 22 1997; available via www URL: http://appft1.uspto.gov/netahtml/PTO/search-adv.html)
ga97aKonsella.
[1972] M. S. Bright and T. Arslan. A genetic algorithm for the high-level synthesis of DSP systems for low power.
In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems:
Innovations and Applications, pages 174–179, Glasgow (UK), 2.-4. September 1997. IEE, London, UK.
†CCA3832/98 ga97aMSBright.
[1973] Roman Malczyk and Aleš Gottvald. On evolutionary phase corrections in MRS. In Ošmera [2434], pages
83–87. ga97aMalczyk.
[1974] R Menozzi and A. Piazzi. HEMT and HBT small-signal model optimization using a genetic algorithm.
In Proceedings of the IEEE MTT/ED/AP/LEO Societies Joint Chapter United Kingdom and Republic of
IReland Section, pages 13–18, London, UK, 24.-25. November 1997. IEEE, New York, NY. †EEA107322/98
ga97aMenozzi.
[1975] Tomasz Ostrowski and V. T. Ruoppila. Genetic annealing search for index assingment in vector quantization. Pattern Recognition Letters, 18(4):311–318, 1997. †EEA86236/97 ga97aOstrowski.
[1976] P. J. Jacob and A. D. Ball. Empirical validation of the performance of a class of transient detector. In
Proceedings of the Evolutionary Computing, pages 129–145, Manchester, (UK), 7.-8. April 1997. SpringerVerlag, Berlin (Germany). †PA17997/98 ga97aPJJacob.
[1977] S. Chen, Y. Wu, and S. McLaughlin. Blind channel identification based on higher order cumulant fitting
using genetic algorithms. In Proceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order
Statistics, volume ?, pages 184–188, Banff, Alta. (Canada), 21.-23. July 1997. IEEE, Los Alamitos, CA.
†EI M182484/97 ga97aSChen.
[1978] Suman K. Mitra and S. N. Sarbadhikari. Iterative function system and genetic algorithm-based EEG
compression. Medical Engineering and Physics, 19(7):605–617, October 1997. ga97aSKMitra.
[1979] Shunei Koyama and Kazuo Sato. Apparatus and method for analyzing target motion by genetic algorithm,
1997. (JP patent no. 9287975. Issued November 4 1997) * fi.espacenet.com ga97aSKoyama.
[1980] Seonha Ahn and Daijin Kim. Co-adaptation of SOMs by evolution and learning for an optimal VQ codebook design. J. KISS(B), Softw. Appl. (South Korea), 24(12):1319–1330, 1997. In Korean †CCA34430/98
ga97aSeonhAhn.
[1981] Seung Moog Kim, Young Chang Jo, and Tae Hong Lee. Improvement of genetic operators using restoration
method and evaluation function for noise degradation. J. Korea Inst. Telemat. Electron. (South Korea),
34S(5):52–65, 1997. In Korean †CCA102980/97 ga97aSeungMoogKim.
[1982] T. Ono, Hideo Saito, and S. Ozawa. Mixed tones estimation for transcription using GA. Transactions
of the Socety of Instrument and Control Engineers, 33(5):417–423, 1997. (In Japanese) †Saito/www
EEA86439/97 ga97aTOno.
[1983] Remco Teunen. Automatic pronunciation generation from orthography using genetic programming. In
John R. Koza, editor, Genetic Algorithms and Genetic Programming at Stanford 1997, page ?, Stanford,
CA, Winter 1997. Stanford University Bookstore. †Koza ga97aTeunen.
[1984] Zhao Yang Dong, Yuri V. Makarov, and David J. Hill. Genetic algorithms in power system small signal
stability analysis. In Proceedings of the Fourth International Conference on Advances in Power System
Control, Operation & Management, volume 1, pages 342–347, Wanchai, Hong Kong, 11.-14. November
1997. IEE, Hong Kong. ga97aZhaoYangDong.
[1985] K. F. Man, K.S. Tang, S. Wong, and W. A. Halang. Genetic Algorithms for Control and Signal Processing
(Advances in Industrial Control). Springer-Verlag, Berlin, 1997. †www.amazon.com ga97bKFMan.
192
[1986] Kamal Sarabandi and Eric S. Li. Characterization of optimum polarization for multiple target discrimination using genetic algorithms. In Proceedings of the 1997 IEEE Antennas and Propagation Society
International Symposium, volume 1, pages 502–505, Montreal (Canada), 13.-18. July 1997. IEEE, Piscataway, NJ. †EI M004239/98 ga97bSarabandi.
[1987] T. Takara, K. Higa, and I. Nagayama. Isolated word recognition using the HMM structure selected by the
genetic algorithm. In Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and
Signal Processing, pages 967–970, Munich (Germany), 21.-24. April 1997. IEEE Computer Society Press,
Los Alamitos , CA. †P75734 ga97bTTakara.
[1988] Z. Q. Bo, H. Y. Li, R. K. Aggarwal, and A. T. Johns. Current transients based faulted phase selection
technique using a genetic algorithm evolved neural network. In Proceedings of the 32nd Universities Power
Engineering Conference, volume 2, pages 959–962, Manchester, UK, 10.-12. September 1997. UMIST,
Manchester, UK. †CCA24657/98 ga97bZQBo.
[1989] Zi-Jiang Yang, Setsuo Sagara, and Teruo Tsuji. System impulse response identification using a multiresolution neural network. Automatica, 33(7):1345–1350, 1997. †EI M176135/97 ga97bZi-JYang.
[1990] A. Cheldavi and M. Kamarei. Time-domain (transient) analysis of capacitive Jaumann absorbers. In
Proceedings of the 1997 IEEE MTT-S International Microwave Symposium, volume 3, pages 1555–1558,
Denver, CO, 8.-13. June 1997. IEEE, Piscataway, NJ. †EI M157894/97 ga97cCheldavi.
[1991] A. Haydar, M. Demirekler, and M. K. Yurtseven. Speaker identification through use of features selected
using genetic algorithm. Electronics Letters, 34(1):39–40, 1998. ga98aAHaydar.
[1992] Andrew Horner. Nested modulator and feedback FM matching of instrument tones. IEEE Transactions
on Speech and Audio Processing, 6(4):398–409, July 1998. ga98aAHorner.
[1993] Andreas Klappenecker, Thomas Beth, and Markus Grassl. Wavelettransformationen auf Quantenrechnern. In B. Michaelis and H. Holub, editors, Fachtagung Informations- und Mikrosystemtechnik, page ?,
Magdeburg (Germany), ? 1998. Logisch GMBH. (in Germany) ga98aAKlappenecker.
[1994] A. Lee, M. Ahmadi, G. A. Jullien, W. C. Miller, and R. S. Lashkari. Digital filter design using genetic
algorithm. In Proceedings of the 1998 IEEE Symposium on Advances in digital Filtering and Signal Processing, pages 34–38, Victoria, BC (Canada), 5.-6. June 1998. IEEE, New York, NY. †CCA78887/98
ga98aALee.
[1995] J. M. Anderson, T. M. Sayers, and M. G. H. Bell. Optimization of a fuzzy-logic traffic signal controller
by a multiobjective genetic algorithm. In Proceedings of the IEE Conference Publications, pages 186–190,
London (UK), 21.-23. April 1998. IEE, Stevenage (UK). †P80956 ga98aAnderson.
[1996] Burkhard Militzer, Michele Zamparelli, and Dieter Beule. Evolutionary search for low autocorrelated binary
sequences. IEEE Transactions on Evolutionary Computation, 2(1):34–39, April 1998. ga98aBMilitzer.
[1997] C. Ergun and K. Hacioglu. Application of a genetic algorithm to multistage detection in CDMA systems.
In Proceedings of the 9th Mediterranean Electrotechnical Conference, volume 1, pages 856–850, Tel Aviv
(Israel), 18.-20 May 1998. IEEE, New York, NY. †P81469 ga98aCErgun.
[1998] Chulkyu Shin, Sangmin Lee, Eunsil Lee, Jangwoo Kwon, Younggun Jang, and Seunghong Hong. A study
on electromyogram signal technique using neural network and genetic algorithms. J. Inst. Electron. Eng.
Korea S (South Korea), 35-S(11):176–183, 1998. In Korean †PA62795/99 ga98aChulShin.
[1999] H. Peremans, V. A. Walker, G. Papadopoulos, and T. C. T. Hallam. Evolving batlike pinnae for target
localisation by an echolocator. In M. Sipper, D. Mange, and A. Pérez-Uribe, editors, Evolvable Systems:
From Biology to Hardware, Second International Conference, ICES 98, volume LNCS of 1478, pages
230–239, Lausanne (Switzerland), September 1998. Springer-Verlag Berlin Heidelberg. * www /Springer
ga98aHPeremans.
[2000] Helmut Stab and Heinz Hofmann. SAW pulse oscillator sensor with optimized PSK waveform. In Proceedings of the Ultrasonics Symposium, volume 1, pages 539–542, ?, 5.-8. October 1998. IEEE, Piscataway,
NJ. ga98aHStab.
[2001] Hongki Sung, Yoonkeon Moon, and Hagyu Lee. A genetic algorithm based source encoding scheme for
distinguishing incoming signals in large-scale space-invariant optical networks. J. Electr. Eng. Inf. Sci.
(Taiwan), 3(2):151–157, 1998. †EEA112974/98 ga98aHongSung.
[2002] I. Jouny. Radar target identification using genetic algorithms. In Proceedings of the Automatic Target
Recognition, pages 152–159, Orlando, FL, 13.-17. April 1998. SPIE – International Society for Optical
Engineering. †P82573 ga98aIJouny.
Bibliography
193
[2003] Jarkko Vuori. Optimization of signal processing and network control in telecommunications systems. PhD
thesis, Helsinki University of Technology, Department of Electrical and Communications Engineering, 1998.
(Report 24) ga98aJVuori.
[2004] J. W. Wang, J. S. Pan, C. H. Chen, and H. L. Fang. Wavelet-based signal approximation with multilevel
learning algorithms using genetic neuron selection. In Proceedings of the Tenth IEEE International Conference on Tools With Artificial Intelligence, pages 344–353, Taipei, Taiwan, 10.-12. November 1998. IEEE
Computer Society Press, Los Alamitos , CA. †P84302 ga98aJWWang.
[2005] J. Wang, H. Israelsson, and R. G. North. Optimum subarray configuration using genetics algorithms. In
Proceedings of the 1998 IEEE International conference on Acoustics, Speech and Signal Processing, volume
1-6, pages 2129–2132, Seattle, WA, 12.-15. May 1998. IEEE, New York, NY. †P80893 ga98aJWang.
[2006] Jangwoo Kwon, Sangjean Lee, Chulkyu Shin, Younggun Jang, and Seunghong Hong. Signal hybrid HMMGA-MLP classifier for continuous EMG classifiercation purpose. In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1404–1407,
Hong Kong, 29. oct - 1. nov ? 1998. IEEE, Piscataway, NJ. †CCA84776/99 ga98aJangKwon.
[2007] Jyi Hwang and Sheng-Lin Hong. Variable-rate vector quantizer design using genetic algorithm. IEICE
Trans. Inf. Syst. (Japan), E81-D(6):616–620, 1998. †CCA66291/98 ga98aJyiHwang.
[2008] Kazuo Shirakawa, Masahiko Shimizu, Naofumi Okubo, and Yosimasa Daido. Structural determination
of multilayered large-signal neural-network HEMT model. IEEE Transactions on Microwave Theory and
Techniques, 46(10):1367–1375, October 1998. ga98aKShirakawa.
[2009] K. Stober. Use of genetic algorithms for automatic segmentisation of sounds. ITG-Fachber. (Germany),
(152):21–24, 1998. In German †PA43609/99 ga98aKStober.
[2010] N. Kumaravel and N. Nithiyanandam. Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms. Medical & Biological Engineering & Computing, 36(2):191–196, March 1998.
ga98aKumaravel.
[2011] Lin Yu Tseng and Shiueng Bien Yang. A genetic approach to the design of general-tree-structured vector
quantizers for speech coding. In Proceedings of the 1998 IEEE International Conference on Acoustics,
Speech and Signal Processing, volume 1, pages 69–72, Seattle, WA, 12.-15. May 1998. IEEE, New York,
NY. †EEA110666/98 ga98aLinTseng.
[2012] M. D. Foy et al. Signal timing determination using genetic algorithms. Transportation Research Record,
1365:108–115, ? 1998. †[2450] ga98aMDFoy.
[2013] M. S. Bright and T. Arslan. Transformational-based synthesis of VLSI based DSP systems for low power
using a genetic algorithm. In Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, volume 6, pages 45–48, Monterey, CA, 31. may-3. jun ? 1998. IEEE, New York, NY. †CCA87447/98
ga98aMSBright.
[2014] R Menozzi, M. Borgarino, J. Tasselli, and A. Marty. HBT small-signal model extraction using a genetic algorithm. In Proceedings of the 20th Annual, Technical Digest, pages 157–160, Atlanta, GA, 1.-4. November
1998. IEEE, New York, NY. †P83394 ga98aMenozzi.
[2015] J. Scheuring, W. Clauss, and D. P. Kern. Self-optimizing and adaptive digital signal processor based algorithms in scanning tunneling microscopy. Reviews of Scientific Instruments, 69(12):4191–4194, December
1998. * PA 10597/99 ga98aScheuring.
[2016] Tessa Sayers, Jessica Anderson, and Michael Bell. Using a multiobjective GA to develop a flexible traffic
signal controller. In Ošmera [2418], pages 120–125. ga98aTessaSayers.
[2017] Toshiya Yoshida. Method and device for generating musical sound waveform, 1998. (JP patent no.
10149167. Issued June 2 1998) * fi.espacenet.com ga98aToshiyaYoshida.
[2018] G. Turhan-Sayan, K. Leblebicioglu, and S. Inan. Input signal shaping for target identification using genetic
algorithms. Microw. Opt. Technol. Lett. (USA), 17(2):128–132, 1998. †EEA40684/98 ga98aTurhan-Sayan.
[2019] Wing Yiu Choy and Bryan C. Sanctuary. Using genetic algorithms with a priori knowledge for quantitative NMR signal analysis. Journal of Chemical Information and Computer Sciences, 38(4):685–690,
July/August 1998. ga98aWYChou.
[2020] P. Willett and B. Chen. A new sequential detector for short-duration signals. In Proceedings of the 1998
IEEE International Conference on Acoustics, Speech and Signal Processing, volume 1-6, pages 2529–2552,
Seattle, WA, 12.-15. May 1998. IEEE, New York, NY. †P80893 ga98aWillett.
194
[2021] Xu Yong, Liu Yiwen, Chen Hexin, and Dai Yisong. Tree-structured vector quantization design using adaptive genetic algorithms. In Proceedings of the Electronic Imaging and Multimedia Systems, volume SPIE-,
pages 376–382, Beijing (China), 18.-19. 1998. SPIE – The International Society for Optical Engineering.
†CCA56161/99 ga98aXuYong.
[2022] Y. M. Zou and Y. A. Ke. A genetic algorithm with sharing and its application in music method. In
Proceedings of the 1998 Fourth International Conference on Signal Processing, pages 393–396, Beijing
(China), 12.-16. October 1998. IEEE, New York, NY. †P85082 ga98aYMZou.
[2023] Zou Yanming and Ke Youan. A genetic algorithm with sharing and its application in MUSIC method. In
Proceedings of the 1998 Fourth International Conference on Signal Processing, volume 1, pages 393–396,
Beijing (China), 12.-16. October 1998. IEEE, Piscataway, NJ. †CCA78187/99 ga98aYanming.
[2024] M. Yoshioka and S. Omatu. Signal separation method using genetic algorithm. In Proceedings of the
1998 IEEE International Joint Conference on Neural Networks, volume 2, pages 909–912, Anchorage, AK,
4.-9. May 1998. IEEE, New York, NY. †EEA111534/98 CCA84683/98 ga98aYoshioka.
[2025] Hou Gexian and Wu Chengke. Moving target detection and localization method based on genetic algorithms. Chin. J. Electron. (Hong Kong), 7(2):112–115, 1998. †CCA53506/98 ga98bHoGexian.
[2026] M. S. Bright. Evolutionary Strategies for the High-Level Synthesis of VLSI-Based DSP System for Low
Power. PhD thesis, Cardiff University, Division of Electronic Engineering, 1998. ga98bMSBright.
[2027] M. Yoshioka and S. Omatu. Signal separation method using genetic algorithm. In Proceedings of the
1998 IEEE International Joint Conference on Neural Networks, volume 2, pages 909–912, Anchorage, AK,
4.-9. May 1998. IEEE, New York, NY. †EEA111534/98 ga98bMYoshioka.
[2028] S. Chen and Y. Wu. Genetic algorithm optimisation for maximum likelihood joint channel and data estimation. In Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and signal Processing, volume 2, pages 1157–1160, Seattle, WA, 12.-15. May 1998. IEEE, New York, NY. †EEA111858/98
ga98bSChen.
[2029] A. Garlapati and S. Prasad. Large-signal modeling of a multi-finger heterojunction bipolartransistor for
microvawe applications based on a genetic algorithm. In V. Kumar and S. K. Agarwal, editors, Proceedings
of the tenth International Workshop on the Physics of Semiconductor Devides, volume I and II, pages 536–
547, New Delhi, India, 14.-18.December 1999. Spie-Int Society Optical Engineering, Bellingham. †P89708
ga99aAGarlapati.
[2030] A. Kam and A. Cohen. Detection of fetal ECG with IIR adaptive filtering and genetic algorithms. In
Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, pages
2335–2338, Phoenix, AZ, 15.-19. March 1999. IEEE, New York, NY. †P84345 ga99aAKam.
[2031] Uwe Depczynski, Kurt Jetter, K. Molt, and A. Niemöller. Quantitative analysis of near infrared spectra by
wavelet coefficient regression using a genetic algorithm. Chemometrics and Intelligent Laboratory Systems,
47(2):179–187, ? 1999. ga99aDepczynski.
[2032] E. Gómez-Ramı́rez, S. Soltani, A. González-Yunes, and M. Avila-Alvarez. Mejoramiento del proceso de
aprendizaje para la predicción de series de tiempo empleando filtrado multirresolución en redes neuronales
artificiales polinomiales [Improving learning process for identification with multiresolution filtering in polynomial artificial neural networks]. In ?, editor, Segundo Encuentro de Computación, ENC’99, page ?,
Pachua?, 12.-15. September 1999. ? (in Spanish; in English as [2041]) ga99aEGomez-Ramirez.
[2033] Jr V. Pilla and H. S. Lopes. Evolutionary training of a neurofuzzy network for detection of p wave of the
ecg. In Proceedings of the Third International Conference on computational Intelligence and Multimedia
Applications, pages 102–106, New Delhi, India, 23.-26. September 1999. IEEE Computer Society Press,
Los Alamitos , CA. †CCA93085/99 ga99aJrVPilla.
[2034] K. Matsui, Y. Suganami, and Y. Kosugi. Feature selection by genetic algorithm for MRT segmentation.
Syst. Comput. Jpn. (USA), 30(7):69–78, 1999. †CCA66636/99 ga99aKMatsui.
[2035] M. Scherg, T. Bast, and P. Berg. Multiple source analysis of interictal spikes: goals, requirements, and
clinical value. J. Clin. Neurophysiol, 16(3):214–224, May 1999. * PubMed10426405 ga99aMScherg.
[2036] Masakatsu Aoki, Ken Tsutsuguchi, and Noboru Sonehara. Generating method for sound using genetic
algorithm and medium where program is recorded, 1999. (JP patent no. 11175072. Issued July 2 1999) *
fi.espacenet.com ga99aMasakatsuAoki.
[2037] S. J. Turner, P. D. Picton, and J. A. Campbell. Selecting filter banks to enhance evoked potentials
recordings using evolutionary algorithms. In Proceedings of the First European Workshops, pages 101–109,
Goteburg, Sweden, 26.-27. May 1999. Springer-Verlag, Berlin (Germany). †CCA84581/99 ga99aSJTurner.
Bibliography
195
[2038] Tu Van Le, D. Tran, and M. Wagner. Fuzzy evolutionary programming for hidden Markov modelling in
speaker identification. In Proceedings of the 1999 congress on Evolutionary Computation-CEC99, volume 2,
pages 812–815, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA82015/99 ga99aTuVanLe.
[2039] V. Pilla Jr and H. S. Lopes. Evolutionary training of a neurofuzzy network for detection of P wave of the
ECG. In Proceedings of the Third International Conference on computational Intelligence and Multimedia
Applications, pages 102–106, New Delhi, India, 23.-26. September 1999. IEEE Computer Society Press,
Los Alamitos, California. †CCA93085/99 ga99aVPilla.
[2040] Wen-Jan Cieni and Shen-Chuan Tai. A genetic algorithm approach to multilevel block truncation coding. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, E82A(8):1456–1462, 1999. †CCA89918/99 ga99aWenCieni.
[2041] E. Gómez-Ramı́rez, S. Soltani, A. González-Yunes, and M. Avila-Alvarez. Improving learning process for
identification with multiresolution filtering in polynomial artificial neural networks. In ?, editor, IASTED
International Conference Intelligent Systems and Control, page ?, Santa Barabara, CA, 28.-30. October
1999. IASTED. (in Spanish as [2032]) ga99bEGomez-Ramirez.
[2042] E. Gómez-Ramı́rez, A. S. Poznyak, and R. Lozano. Adaptive control of nonlinear systems using polynomial
artificial neural network. In ?, editor, IASTED International Conference Intelligent Systems and Control,
page ?, Santa Barabara, CA, 28.-30. October 1999. IASTED. ga99cEGomez-Ramirez.
[2043] E. Gómez-Ramı́rez, A. S. Poznyak, A. González-Yunes, and M. Avila-Alvarez. Adaptive control of nonlinear
systems using polynomial artificial neural network. In ?, editor, Congress on Evolutionary Computation
CEC99, page ?, Washington, DC, 6.-9. July 1999. IEEE. ga99dEGomez-Ramirez.
[2044] S. T. Barnard and Aviv Bergman. Adaptation in signal spaces. In Schwefel and Männer [2451], pages
395–404. † ga:Bergman90.
[2045] Innesa L. Bukatova. Digital processing of discrete signals with the help of evolutionary simulation algorithm. In ?, editor, Proceedings of the Thirteenth International Symposium on Static Hydro Acoustics,
pages 95–98, ?, ? 1984. Academy of Sciences of the USSR, Institute of Acoustics. (in Russian) †Bukatova
ga:Bukatova84b.
[2046] Innesa L. Bukatova and S. A. Lopatina. Adaptive control of simulation system: Basic principles and realization. In ?, editor, Proceedings of International Symposium on Evolutionary Simulation and Processing
of Data of Radio Physics Experiment, pages 12–14, ?, ? 1984. Academy of Sciences of the USSR, Institute
of Radio Engineering and Electronics. (in Russian) †Bukatova ga:Bukatova84c.
[2047] Innesa L. Bukatova and A. V. Udalov. Structure and purpose of batch of forecast estimate of binary parameters. In ?, editor, Proceedings of International Symposium on Evolutionary Simulation and Processing
of Data of Radio Physics Experiment, pages 15–16, ?, ? 1984. Academy of Sciences of the USSR, Institute
of Radio Engineering and Electronics. (in Russian) †Bukatova ga:Bukatova84d.
[2048] Innesa L. Bukatova, V. A. Kipyatkov, and A. M. Sharov. Simulation-evolutionary technology of multichannel processing of signals. Soviet Journal of Problems of Radio Electronics, ser. Electronic Computer
Engineering (Voprosy Radioelektroniki. Seriya Elektronnaya Vychislitel’naya Tekhnika), ?(?):5–26, 1991.
(in Russian) †Bukatova93a ga:Bukatova91a.
[2049] Dolores del Castillo Sobrino, Jorge Gasos Casao, and Carmen Garcia-Alegre Sanchez. Genetic processing
of the sensorial information. Sens. Actuators A. Phys. (Switzerland), A37-A38(2):255–259, 1993. (Proceedings of EUROSENSORS VI, San Sebastian (Spain), 5.-7. Oct. 1992) * CCA 2526/94 EI Jan 94
ga:CGASanchez93a.
[2050] G. D. Cain, A. Yardim, and L. Allen. Performance of an adaptive Darwinian notch filter. In Proceedings
of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], page ? †GAdigest.v7n29
ga:Cain93a.
[2051] J. Tasic and G. D. Cain. Signal energy spread effects for Darwinian and LMS filters. In Proceedings of
the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], page ? †GAdigest.v7n29
ga:Cain93b.
[2052] R. Caponetto, L. Fortuna, G. Muscato, and G. Nunnari. Search of optimal realization matrix for filter implementation by using a genetic algorithm. In 1993 IEEE International Symposium on Circuits and Systems
(ISCAS 93), volume 1, pages 471–474, Chicago, IL, 3.-6. May 1993. IEEE, New York. ga:Caponetto93b.
[2053] Luaie A. Al-BaBa, Steven L. Horner, William Holls, and Paul B. Crilly. Adaptive echo cancellation
using genetic algorithms. In Proceedings of the 1992 International Conference on Industrial Electronics,
Control, and Instrumentation, volume 2, pages 1041–1044, San Diego, 9.-13. November 1992. IEEE Press.
ga:Crilly92a.
196
[2054] Steven L. Horner, William Holls, and Paul B. Crilly. Non-invasive fetal electrocardiograph enhancement.
In ?, page ?, 1992. ga:Crilly92b.
[2055] W. Crompton, S. Hurley, and N. Stephens. Frequency assignment using a genetic algorithm. In Proceedings
of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], page ? †GAdigest.v7n29
ga:Crompton93a.
[2056] F. Ferri, V. Kadirkamanathan, and J. Kittler. Feature subset search using genetic algorithms. In
Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], page ?
†GAdigest.v7n29 ga:Ferri93a.
[2057] David B. Fogel. Evolutionary programming for voice feature analysis. In Proceedings of the Twenty-Third
Asilomar Conference on Signals, Systems & Computers, pages 381–383, Pacific Grove, CA, October 1989.
Maple Press. †Fogel/bib ga:Fogel89a.
[2058] Hanqing Q. Yang and Gill G. Richards. Worst-case analysis of distribution system harmonics using genetic algorithms. In Proceedings: IEEE Southeastern 92, Vols 1 and 2: Bridging the Gap Between Science and Society, volume 2, pages 530–533, Birmingham, AL, 12.-15. April 1992. IEEE, New York. †
ga:GGRichards92a.
[2059] Gill G. Richards and Hanqing Q. Yang. Distribution-system harmonic worst-case design using a genetic
algorithm. IEEE Transactions on Power Delivery, 8(3):1484–1491, 1993. (in Proceedings of 1992 Summer
Meeting of IEEE / Power-Engineering-Society, Seattle, WA, 12.-16. Jul.) ga:GGRichards92b.
[2060] Gill G. Richards and Hanqing Q. Yang. Distribution system harmonic worst case design using a genetic
algorithm. IEEE Transactions on Power Delivery, 8(3):1484–1491, July 1993. ga:GGRichards93a.
[2061] Claas de Groot, Diethelm Würtz, and Karl Heinz Hoffmann. Low autocorrelation binary sequences: Exact
enumeration and optimization by evolutionary strategies. Technical Report No. 89-09, Interdisciplinary
Center for Supercomputing Research, Eidgenössische Technische Hochschule Zürich, 1989. also as [2062]
ga:Groot89a.
[2062] Claas de Groot, Diethelm Würtz, and Karl Heinz Hoffmann. Low autocorrelation binary sequences: Exact
enumeration and optimization by evolutionary strategies. Optimization (UK), 23(4):369–384, 1993. also
as [2061] ga:Groot93a.
[2063] Mohammed A. Hadi and Charles E. Wallace. Hybrid genetic algorithm to optimize signal phasing and
timing. Transp. Res. Rec., ?(1421):104–112, ? 1993. †EI M135196/94 ga:Hadi93a.
[2064] M. I. Hanna, R. Damper, A. Sapeluk, and I. M. Roger. Using genetic algorithms to improve speaker verifier
performance. In Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072],
page ? †GAdigest.v7n29 ga:Hanna93a.
[2065] David H. Horrocks and Mark C. Spittle. Component value selection for active filters using genetic algorithms. In Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072],
page ? ga:Horrocks93a.
[2066] J. S. Hong. Genetic approach to bearing estimation with sensor location uncertainties. Electronics Letters,
29(23):2013–2014, November 1993. ga:JSHong93a.
[2067] Angel DeCegama and Jeff Smith. Neural networks and genetic algorithms for combinatorial optimization
of sensor data fusion. In Vibeke Libby and Ivan Kadar, editors, Signal Processing, Sensor Fusion, and
Target Recognition, volume SPIE-1699, pages 108–115, Orlando, FL, 20. -22. April 1992. The International
Society for Optical Engineering. ga:JSmith92.
[2068] A. Wicks and S. Lawson. Genetic algorithm design of wave digital filters with a restricted coefficient
set. In Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], page ?
†GAdigest.v7n29 ga:Lawson93a.
[2069] Reinhard Lohmann, Thomas Görne, Martin Schneider, and M. Warstat. Digital systems and structure
evolution. In ?, editor, Proceedings of the 94th Conv. Audio Eng. Soc., pages D6–2, Berlin, 1993. ? †
ga:Lohmann93a.
[2070] K. Messa and M. Lybanon. Improved interpretation of satelite altimeter data using genetic algorithms.
Telematics and Informatics, 9(3-4):349–356, 1992. * CCA 17696/93 EEA 19706 ga:Messa92a.
[2071] David J. Montana. Genetic optimization of the parameters of a track-while-detect algorithm. In Firooz A.
Sadjadi, editor, Adaptive and Learning Systems, volume SPIE-1706, pages 22–31, Orlando, FL, 20. 21. April 1992. The International Society for Optical Engineering. * EI M150518/93 EEA 36664/94 CCA
34187/94 ga:Montana92b.
Bibliography
197
[2072] Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing, Essex (UK), 14.16. November 1993. IEEE. †GAdigest.v7n29 ga:NASP93.
[2073] E. H. N. Oakley. Signal filtering and data processing for laser rheometry. Technical report ?, Institute of
Naval Medicine, 1993. †Langdon/bib ga:Oakley93a.
[2074] Thomas L. Paez. Specification of shock spectra via the genetic algorithm. In ?, editor, Proceedings of the
39th Annual Technical Meeting of the Institute of Environmental Sciences, volume 2, pages 303–308, Las
Vegas, NV, 2.-7. May 1993. Institute of Environmental Sciences, Mount Prospect, IL. †EI M086831/94
ga:Paez93a.
[2075] Emmanual C. Ifeachor and Stephen P. Harris. A new approach to frequency sampling filter design using
genetic algorithms. In Proceedings of the IEE/IEEE Workshop on Natural Algorithms in Signal Processing
[2072], page ? †GAdigest.v7n29 ga:SHarris93a.
[2076] K. Gallagher and Malcolm S. Sambridge. Earthquake hypocenter location using genetic algorithms. Bulletin of the Seismological Society of America, 83(5):1467–1491, 1993. †SCI/Sep-Oct93 ASTI Jan 94
ga:Sambridge93a.
[2077] Ken C. Sharman and Anna I. Esparcia Alcázar. Genetic evolution of signal models. In Proceedings of
the IEE/IEEE Workshop on Natural Algorithms in Signal Processing [2072], page ? †GAdigest.v7n29
ga:Sharman93a.
[2078] Angus R. Simpson and Stephen D. Priest. The application of genetic algorithms to optimization problems
in geotechnics. Computers and Geotechnics, 15(1):1–19, 1993. ga:Simpson93b.
[2079] Masahiro Tanaka, Takashi Hattori, and Tetsuzo Tanino. Jump detection and identification of linear systems
by the genetic algorithm. Transactions of the Society of Instrument and Control Engineers (Japan),
28(11):1383–1385, November 1992. (in Japanese) ga:Tanino92a.
[2080] L. Wirbel. Compression chip is first to use genetic algorithms. Electronic Engineering Times, ?(?):17,
December 1992. †[2452] ga:Wirbel92.
[2081] Li Feipeng, Cheng Weixiong, and Chang Yilin. 2-D genetic optimizer algorithm and its application in
digital signal processing. In Chine 1991 International Conference on Circuits and Systems, volume 1,
pages 120–122, Shenzhen (China), 16.-17. June 1991. IEEE, New York. * EEA 79701/92 ga:Yilin91.
[2082] Jarmo T. Alander. Indexed bibliography of genetic algorithms in signal and image processing. Report
94-1-SIGNAL, University of Vaasa, Department of Information Technology and Production Economics,
1995. (available via anonymous ftp site ftp.uwasa.fi directory cs/report94-1 file gaSIGNALbib.ps.Z)
gaSIGNALbib.
[2083] Bonifacio de Andres, Segundo Esteban, Daniel Rivera, Jose Hidalgo, and Manuel Prieto. Parallel genetic
algorithms: An applications for model parameter identification in process control. pages 65–69, 2000.
ga00aBdeAndres.
[2084] C. Chiroiu, P. P. Delsanto, M. Scalerandi, V. Chiroiu, and T. Sireteanu. Subharmonic generation in
piezoelectrics with Cantor-like structure. Journal of Physics D: Applied Physics, 34(11):1579–1586, 6. July
2001. * EBSCO ga01aCChiroiu.
[2085] Mark S. Voss and Xin Feng. Emergent system identification using particle swarm optimization. In
William B. Spillman, editor, Complex Adaptive Structures, volume SPIE-4512, pages 193–202, ?, October
2001. The International Society for Optical Engineering. * www/SPIE Web ga01aMSVoss.
[2086] Oliver Nelles. Nonlinear System Identification: from Classical Approaches to Neural Networks and Fuzzy
Models. Springer-Verlag, Berlin, 2 edition, 2001. †www /Springer ga01aONelles.
[2087] M.-D. Wu and C.-T. Sun. Fuzzy modeling employing fuzzy polyploidy genetic algorithms. Journal of
Information Science and Engineering, 18(2):163–186, March 2002. * A02-39064 ga02aM-DWu.
[2088] Makoto Iwasaki and Toshiaki Kumon. Method for identifying non-linear system by genetic algorithm,
2002. (JP patent no. 2002032104. Issued January 31 2002) * fi.espacenet.com ga02aMIwasaki.
[2089] Marc Schoenauer and Michéle Sebag. Using domain knowledge in evolutionary system identification. pages
35–42, 2002. ga02aMSchoenauer.
[2090] Pawel Fabijański and Ryszard Lagoda. Genetic identification of parameters the piezoelectric ceramic
transducers for cleaning. In Ryszard Jabloński, Mateusz Turkowski, and Roman Szewczyk, editors, Recent
Advances in Mechatronics, Engineering, pages 16–21, ?, ? 2007. Springer-Verlag, Heidelberg. * www
/Springer ga07aPawelFabijanski.
198
[2091] S. Dzeroski and I. Petrovski. Discovering dynamics with genetic programming. In ?, editor, Proceedings
of the European Conference on Machine Learning (ECML-94), pages 347–350, Catania (Italy), 6.-8. April
1994. Springer-Verlag, Berlin. * CCA 11902/95 ga94aDzeroski.
[2092] T. Hachino, Zi-Jiang Yang, T. Tsuji, and T. Yanaru. Recursive identification of continuous time-delay
systems using the genetic algorithm. In Proceedings of the 26th ISCIE SSS 94, pages 45–52, Osaka, Japan,
26.-28. October 1994. Mita Press, Osaka, Japan. †CCA54805/97 ga94aHachino.
[2093] R. G. Hutchins. Identifying nonlinear dynamic systems using neural nets and evolutionary programming.
In Proceedings of the Twenty-Eighth Asilomar Conference on Signals, Systems, and Computers, volume 2,
pages 887–891, Pacific Grove, CA, October 31.- November 2. 1994. IEEE Computer Society Press, Los
Alamitos, CA. * CCA 77862/95 ga94aHutchins.
[2094] Kuang-Tsang Jean and Yung-Yaw Chen. Variable-based genetic algorithm. In Proceedings of the 1994 IEEE
International Conference on Systems, Man, and Cybernetics, volume 2, pages 1597–1601, San Antonio,
TX, 2.-5. October 1994. IEEE, New York. * EI M096129/95 ga94aJean.
[2095] Yoo chan Jeon. Genetic algorithm based non-linear modeling and its application to control and mechanical
diagnostics. PhD thesis, Columbia University, 1994. * DAI Vol. 55 No. 6 ga94aJeon.
[2096] V. Kadirkamanathan. Bayesian-inference for basis function selection in nonlinear-system identification
using genetic algorithms. In S. Sibisi J. Skilling, editor, Proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods, pages 135–142, Cambridge, England, ? 1994. Kluwer
Academic Publ. (Dordrecht). †P74283 ga94aKadirkamanathan.
[2097] Ming-Yi Lay. Genetic programming and its application to analyze dynamical systems. PhD thesis, The
University of Texas at Austin, 1994. * DAI Vol 56 No 2 ga94aM-YLay.
[2098] Masahiro Tanaka, Ju Ye, and Tetsuzo Tanino. Identification of nonlinear systems using fuzzy logic and
genetic algorithms. In M. Blanke and T. Söderström, editors, IFAC System Identification (SYSID’94),
pages 265–270, Copenhagen (Denmark), 4.-6. July 1994. Pergamon/ IFAC, Oxford (UK). ga94aMTanaka.
[2099] N. Sepehri, Frank Lup Ki Wan, P. D. Lawrence, and Guy A. M. Dumont. Hydraulic compliance identification using a parallel genetic algorithm. Mechatronics, 4(6):617–633, September 1994. ga94aSepehri.
[2100] Jarkko Vuori. Identification of nonlinear systems with evolutionary computation. In Alander [2442],
pages 97–103. (available via anonymous ftp site ftp.uwasa.fi directory cs/report94-2 file Vuori.ps.Z)
ga94aVuori.
[2101] S. Džeroski and I. Petrovski.
ga94bDzeroski.
Discovering dynamics with genetic programming.
1994.
†[1917]
[2102] J. T. Ma and Q. H. Wu. Estimation of generator parameters using evolutionary programming. In Proceedings of the International Conference on Control ’94, volume 2, pages 1442–1447, Coventry (UK),
21.-24. March 1994. IEE, London. †EA 60185/94 ga94bJTMa.
[2103] Zi-Jiang Yang, T. Hachino, T. Tsuji, and S. Sagara. Identification of parameters and time delays of
continuous systems using the genetic algorithm. In ?, editor, Proceedings of the System Identification
(SYSID 94), volume 3, pages 1573–1578, Copenhagen (Denmark), 4.-6. July 1994. Pergamon, Oxford,
UK. †CCA10814/96 ga94bZ-JYang.
[2104] Hitoshi Iba, Taisuke Sato, and Hugo de Garis. System identification approach to genetic programming. In
ICEC’94 [2405], pages 401–406. ga94cIba.
[2105] Terence C. Fogarty, Frantisek Vavak, and Philip Cheng. System identification for load balancing with the
genetic algorithm. In IEE International Conference: Control 94, volume IEE Conference publications no.
389, pages 750–753, ?, ? 1994. IEE, London. †Fogarty ga94eFogarty.
[2106] Colin R. Reeves and Ping Dai. Genetic algorithms in system identification: some problems and solutions.
In ?, editor, Proceedings of the International Conference on Systems Engineering, page ?, Coventry (UK),
6.-8. September 1994. ? †Reeves ga94eReeves.
[2107] Charles L. Karr, Dorian Yeager, and Donald A. Stanley. Tuning empirical computer models using genetic
algorithms. In Dale K. Pace and Abdel-Moaty Fayek, editors, Proceedings of the 1994 Summer Computer
Simulation Conference, pages 236–244, San Diego, CA, 18.-20. July 1994. The Society for Computer
Simulation. * Karr ga94mKarr.
[2108] R. C. Caponetto, L. Fortuna, G. Manganaro, and M. G. Xibilia. Chaotic system indentification via genetic
algorithm. In IEE/IEEE Sheffield ’95 [2427], pages 170–174. ga95aCaponetto.
[2109] I. G. French, S. Ho, and A. Adgar. Comparison of identification techniques for nonlinear systems. In
Pearson et al. [2409], pages 519–522. ga95aFrench.
Bibliography
199
[2110] Ju Ye, Masahiro Tanaka, and Tetsuzo Tanino. Genetic algorithm with evolutionary chain-based mutation
and its applications. Memoirs of the Faculty of Engineering, Okayama University, 30(1):111–120, December
1995. ga95aJuYe.
[2111] K. C. Tan, Y. Li, D. J. Murray-Smith, and K. C. Sharman. System identification and linearisation using
genetic algorithms with simulated annealing. In IEE/IEEE Sheffield ’95 [2427], pages 164–169. †conf.prog
ga95aKCTan.
[2112] Rustom Mamlook and Wiley E. Thompson. Multiple-class identification algorithm using genetic neural
networks. In Proceedings of the International Conference on Electronics, Circuits and Systems, pages
399–404, Amman, Jordan, 17.-21. December 1995. Higher Council for Sci. & Technol., Amman, Jordan.
†EEA117862/96 ga95aMamlook.
[2113] Hyundoo Shin and Sung-O. Jo. The optimal model identification of a system from experimental data by
a genetic algorithm. In Korea-Australia EC’95 [2428], pages 91–113. ga95aShin.
[2114] Zhang Zibo and Fazel Naghdy. Application of genetic algorithms to system identification. In ICEC’95
[2411], pages 777–782. †prog. ga95aZibo.
[2115] Fang Wang, Yaoru Sun, and Huizhong Wu. Forward-genetic learning and its application to system identification. Electronics Letters, 31(21):1806–1807, 1995. ga95bFWang.
[2116] T. Hachino, Z. J. Yang, and T. Tsuji. On-line identification of continuous time-delay systems using the
genetic algorithm. Trans. Inst. Electr. Eng. Jpn. C (Japan), 115-C(7):866–874, 1995. †CCA88932/95
ga95bHachino.
[2117] M. Ouladsine, F. Bicking, and G. Bloch. Identification of constrained dynamic-systems by genetic type
algorithm. In R. Karba J. Kocijan, editor, Proceedings of the Artificial Intelligence in Real Time Control
1995 (AIRTC95), page ?, Bled, Slovenia, November 29.-December 1. 1995. Pergamon Press ltd, Oxford.
†P69232 ga95bOuladsine.
[2118] Songwu Lu and Tamer Basar. Genetic algorithms-based indentification. In Proceedings of the 1995 IEEE
International Conference on Systems, Man and Cybernetics, volume 1, pages 644–649, Vancouver, BC
(Canada), 22.-25. October 1995. IEEE, Piscataway, NJ. †EI M035874/95 ga95bSLu.
[2119] Hitoshi Iba and Taisuke Sato. System identification approach to genetic programming. Journal of the
Japanese Society of Artificial Intelligence, 10(4):590–600, July 1995. (in Japanese) †CCA 77678/95
ga95cIba.
[2120] C. M. Fonseca and P. J. Fleming. Nonlinear system identification with multiobjective genetic algorithms.
In Proceedings of the 13th World Congress, International Federation of Automatic Control, pages 187–192,
San Francisco, CA, jun 30.- jul 5. ? 1996. Pergamon, Oxford (UK). †CCA42898/98 ga96aCMFonseca.
[2121] A. Fadda and Marc Schoenaur. Identification by evolutionary recurrent neural nets. Z. Angew. Math.
Mech. (Germany), 76(3):421–422, 1996. †CCA401/97 ga96aFadda.
[2122] M. Giuclea, A. Agapie, and Florin Fagarasan. A GA approach for closed-loop system identification. In
?, editor, Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing,
volume 1, pages 410–414, Bucharest, Romania, 2.-5. September 1996. Verlag Mainz, Aachen (Germany).
†CCA34199/98 ga96aGiuclea.
[2123] T. Hatanaka, K. Uosaki, and Y. Yamada. System identification based on evolutionary strategy. In ?, editor,
Proceedings of the 28th ISCIE International Symposium on Stochastic Systems Theory and its Applications,
volume ?, pages 19–24, Kyoto (Japan), 14.-16. November 1996. Inst. Syst. Control & Inf. Eng. , Kyota
(Japan). †CCA89581/97 ga96aHatanaka.
[2124] Ju-Yeop Choi, Hugh F. VanLandingham, and Stanoje Bingulac. A constructive approach for nonlinear
system identification using multilayer perceptrons. IEEE Transactions on Systems, Man, and Cybernetics,
26(2):307–312, April 1996. ga96aJ-YChoi.
[2125] Jee-Hyong Lee and Hyung Lee-Kwang. Fuzzy identification of unknown systems based on GA. In ?,
editor, Proceedings of the First Asia-Pacific Conference, SEAL ’96, pages 216–223, Taejon (Korea), 9.12. November 1996. Springer-Verlag, Berlin (Germany). †CCA78673/97 ga96aJee-HLee.
[2126] Ju Ye, Masahiro Tanaka, and Tetsuzo Tanino. Eugenics-based genetic algorithm. IEICE Transactions on
Information and Systems, E79-D(5):600–607, May 1996. ga96aJuYe.
[2127] P. B. Nair and P. M. Mujumdar. Structural system identification using genetic algorithms. In ?, editor,
Proceedings of the Identification in Engineering Systems Conference, volume ?, pages 520–529, Swansea,
UK, 27.-29. March 1996. Univ. Wales Swansea, Swansea (UK). †CCA85142/96 ga96aNair.
200
[2128] Ari S. Nissinen and Hannu Koivisto. Identification of multivariate Volterra series model using genetic
algorithm. In Jarmo T. Alander, editor, Proceedings of the Second Nordic Workshop on Genetic Algorithms
and their Applications (2NWGA), Proceedings of the University of Vaasa, Nro. 11, pages 151–162, Vaasa
(Finland), 19.-23. August 1996. University of Vaasa. (available via anonymous ftp site ftp.uwasa.fi
directory cs/2NWGA file Nissinen.ps.Z) ga96aNissinen.
[2129] Hartmut Pohlheim and Peter Marenbach. Generation of structured process models using genetic programming. In ?, editor, Proceedings of the Evolutionary Computing, volume ?, pages 102–109, Brighton, UK,
1.-2. April 1996. Springer-Verlag, Berlin (Germany). †CCA94642/96 ga96aPohlheim.
[2130] M. South, C. Bancroft, M. J. Willis, and M. T. Tham. System identification via genetic programming. In
Proceedings of the 1996 UKACC International Conference on Control, volume 2, pages 912–917, Exeter
(UK), 2.-5. September 1996. IEE, Stevenage (UK). †EI M006767/97 ga96aSouth.
[2131] G. J. Gray, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Structural system identification using genetic
programming and a block diagram oriented simulation tool. Electronics Letters, 32(15):1422–1424, 1996.
ga96bGJGray.
[2132] Hong-Tzer Yang, Chao-Ming Huang, and Ching-Lien Huang. Identification of ARMAX model for short
term load forecasting: an evolutionary programming approach. IEEE Transactions on Power Systems,
11(1):403–408, 1996. ga96bH-TYang.
[2133] T. Hachino, Zi-Jiang Yang, and T. Tsuji. On-line identification of continuous time-delay systems using
the genetic algorithm. Electr. Eng. Jpn (USA), 116(6):115–126, 1996. †CCA 88078/96 ga96bHachino.
[2134] Jinglu Hu, K. Kumamaru, and K. Inoue. A hybrid robust identification using genetic algorithm and
gradient method. Transactions of the Society of Instrument and Control Engineers (Japan), 32(5):714–
721, 1996. (In English) †CCA 69349/96 ga96bJHu.
[2135] Masahiro Tanaka, Ju ye, and Tetsuzo Tanino. Fuzzy modelling by genetic algorithm with tree-structured
individuals. International Journal of Systems Science, 27(2):261–268, ? 1996. ga96bMTanaka.
[2136] Colin R. Reeves, Ping Dai, and K. J. Burnham. A hybrid genetic algorithm for system identification. In
Proceedings of the International ICSC Symposia on Intelligent Industrial Automation and Soft Computing, pages B278–B283, Reading, UK, 26.-28. March 1996. Int. Comput. Sci. Conventions, Millet, Alta.
(Canada). †CCA77534/96 ga96bReeves.
[2137] Sungshin Kim and George J. Vachtsevanos. Polynomial fuzzy neural network for identification and control.
In Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing
Society - NAFIPS, pages 5–9, Berkeley, CA, 19.-22. June 1996. IEEE, Piscataway, NJ. * EI M142775/96
ga96bSKim.
[2138] Il-Kwon Jeong and Ju-Jang Lee. Adaptive simulated annealing genetic algorithm for system identification.
Engineering Applications of Artificial Intelligence, 9(5):523–532, 1996. †CCA393/97 ga96cI-KJeong.
[2139] Ben McKay, Mark J. Willis, Hugo G. Hiden, Gary A. Montague, and Geoffrey W. Barton. Identification of
industrial processes using genetic programming. In ?, editor, Proceedings of the Conference on Identification
in Engineering Systems, volume ?, pages 510–519, Swansea, UK, 27.-29. March 1996. Univ. Wales Swansea,
Swansea. †CCA85681/96 ga96cMcKay.
[2140] L. L. Lai and J. T. Ma. Generator parameter identification using evolutionary programming. In Proceedigns
of the 13th World Congress, International Federation of Automatic Control, pages 169–174, San Francisco,
CA (USA), 30. jun-5. jul ? 1996. Pergamon, Oxford, UK. †CCA67987/98 ga96eLLLai.
[2141] H. Iba. Numerical genetic programming for system identification. In ?, editor, Proceedings of the JapanUSA Symposium on Flexible Automation, volume 2, pages 1503–1510, Boston, MA, 7.-10. July 1996.
ASME, New York, NY. †CCA98827/97 ga96fHIba.
[2142] A. Bastian. A new variation on genetic programming for nonlinear model identification. Automatisierungstechnik, 45(2):58–64, 1997. In German †CCA33995/97 ga97aBastian.
[2143] T. Hachino and H. Takata. Identification for nonlinear systems by the automatic choosing function and the
genetic algorithm. Transactions of the Institute of Electrical Engineers of Japan C, 117-C(10):1506–1512,
1997. In Japanese †CCA10949/98 ga97aHachino.
[2144] Jari Kyngäs. A new method for defining parameters to SETAR-models. In George D. Smith and Nigel C.
Algorithms, pages 473–476, Norwich, UK, 2.-4. April 1997. Springer-Verlag, Berlin. † ga97aJKyngas.
[2145] K. C. Tan and Y. Li. Evolutionary system identification in the time domain. Proc. Inst. Mech. Eng. I, J.
Syst. Control Eng. (UK), 211(I5):319–323, 1997. †CCA18005/98 ga97aKCTan.
Bibliography
201
[2146] Zhao Mingwang. A hybrid algorithm for identifying nonlinear dynamical systems based on genetic algorithm and steepest decent algorithm. High Technol. Lett. (China), 7(6):31–36, 1997. In Chinese
†CCA71871/97 ga97aMingwang.
[2147] J. Moscinski. Genetic and constrained identification in adaptive control systems. In Proceedings of the
Fourth International Symposium on Methods and Models in Automation and Robotics, volume 2, pages
545–550, Miewdzyzdroje, Poland, 26.-29. August 1997. Wydawnictwo Uczelniane Politech. Szczecinskiej,
Szczecin. †CCA10842/98 ga97aMoscinsk.
[2148] K. Rodriguez-Vazquez and P. J. Fleming. A genetic programming/NARMAX approach to nonlinear system
identification. In Proceedings of the Second International Conference on Genetic Algorithms in Engineering
Systems: Innovations and Applications, pages 409–414, Glasgow, UK, 2.-4. September 1997. IEE, London
(UK). †CCA570/98 ga97aRodrigue.
[2149] Aran B. Tcholakian, Alejandro Martins, Roberto C. S. Pacheco, and Ricardo M. Barcia. Fuzzy system
identification through hybrid genetic algorithms. In Proceedings of the 1997 Annual Meeting of the North
American Fuzzy Information Processing Society, pages 428–432, Syracuse, NY (USA), 21.-24. September
1997. IEEE, Piscataway, NJ. †EI M025950/98 ga97aTcholaki.
[2150] George Vukovich and James X. Lee. Fuzzy evolutionary computation. In Pedrycz [2417], chapter 2.7
Stable identification and adaptive control – A dynamic fuzzy logic system approach, pages 224–248.
ga97aVukovich.
[2151] Christopher A. Wrate and L. Wozniak. Hydrogenerator system identification using a simple genetic algorithm. IEEE Transactions on Energy Conversion, 12(1):60–65, March 1997. ga97aWrate.
[2152] Xu Hongze, Chu Dongsheng, and Zhang Fuen. A modified genetic algorithm and its application to
system identification. J. Harbin Inst. Technol. (China), 29(4):72–75, 1997. In Chinese †CCA562/98
ga97aXuHongze.
[2153] Zi-Jiang Yang, T. Hachino, and T. Tsuji. On-line identification of continuous time-delay systems combining
least-squares techniques with a genetic algorithm. Int. J. Control (UK), 66(1):23–42, 1997. †CCA19986/97
ga97aZ-JYang.
[2154] D. Karaboga and A. Kalinli. Training recurrent neural networks for dynamic system identification using
parallel tabu search algorithm. In Proceedings of the 1997 IEEE International Symposium on Intelligent
Control, volume ?, pages 113–118, Istanbul (Turkey), 16.-18. July 1997. IEEE, Piscataway, NJ. †EI
M008796/98 ga97bKaraboga.
[2155] Norberto E. Nawa and Takeshi Furuhashi. A study on nonlinear model identification using pseudo-bacterial
genetic algorithm. In Proceedings of the 1997 International Conference on Neural Information Processing
and Intelligent Information Systems, volume 1, pages 408–411, Dunedin (New Zealand), 24.-28. November
1997. Springer-Verlag, Singapore. †CCA65992/98 ga97bNorbertoNawa.
[2156] Peter J. Angeline and David B. Fogel. Evolutionary program for the identification of dynamical systems.
In Steven K. Rogers, editor, Applications and Science of Artificial Neural Networks III, volume SPIE3077, pages 409–417, ?, April 1997. The International Society for Optical Engineering. * www/SPIE Web
ga97dPJAngeline.
[2157] A. Bastian. Adaptive genes in genetic programming for nonlinear model identification. Automatisierungstechnik, 46(4):189–197, 1998. (In German) †CCA57939/98 ga98aBastian.
[2158] S. A. Billings and K. Z. Mao. Structure detection for nonlinear rational models using genetic algorithms.
Int. J. Syst. Sci. (UK), 29(3):223–231, 1998. †CCA34124/98 ga98aBillings.
[2159] E. Paterakis, V. Petridis, and A. Kehagias. Genetic algorithm in parameter estimation of nonlinear
dynamic systems. In Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, and Hans-Paul Schwefel, editors,
Parallel Problem Solving from Nature - PPSN V, 5th International Conference, volume LNCS of 1498,
pages 1008–1017, Amsterdam (The Netherlands), September 1998. Springer-Verlag Berlin Heidelberg. *
www /Springer ga98aEPaterakis.
[2160] Igor Baidak. Experimental researches on application genetic algorithms for want identifications complicated
objects. In Ošmera [2418], pages 19–20. ga98aIBaidak.
[2161] M. Ahmad, L. Zhang, and J. C. Readle. Parameter-estimation of a heating-system using a genetic algorithm. In Procedings of the UKACC International Conference on Control ’98, pages 195–200, Swansea,
Wales, 1.-4. September 1998. IEE, Stevenage (UK). †P82608 ga98aMAhmad.
[2162] P. B. De Moura Oliveira and A. H. Jones. Cooperative co-evolutionary multivariable system-identification
using structured genetic algorithms. In Proceedings of the Application of Multi-Variable System Techniques, pages 149–158, Bradford (UK), 7.-8. April 1998. Professional Engineering Publishing Ltd, Bury st
Edmunds. †P80549 ga98aMouraOliveira.
202
[2163] N. Bellaaj-Mrabet and K. Jelassi. Comparaison de méthodes d’identification des paramètres d’une machine asynchrone. The European Physical Journal Applied Physics, 3(1):71–80, July 1998. †NASA ADS
ga98aNBellaaj-Mrabet.
[2164] Peter D. Bruce and Martin G. Kellett. Maximum likelihood identification of linear aircraft dynamics using
a hybrid genetic algorithm. In ?, editor, Proceedings of the 36th AIAA, Aerospace Sciences Meeting &
Exhibit, page ?, Reno, NV, 12.-15. January 1998. AIAA. †A98-16358 ga98aPetBruce.
[2165] K. Rodriguez-Vazquez and P. J. Fleming. Multi-objective genetic programming for nonlinear system
identification. Electronics Letters, 34(9):930–931, 1998. †CCA42907/98 ga98aRodriguez-Vazquez.
[2166] T. Hachino and H. Takata. Identification of nonlinear systems using a model with the automatic choosing
function-determination of the model structure by the genetic algorithm. Trans. Inst. Syst. Control Inf.
Eng. (Japan), 11(3):127–135, 1998. In Japanese †CCA42914/98 ga98aTHachino.
[2167] S. Uatrongjit and N. Fujii. Application of genetic programming to system modeling from input-output
data. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, E81A(5):924–930, 1998. †CCA64728/98 ga98aUatrongjit.
[2168] S. Garrido, L. Moreno, and M. A. Salichs. Nonlinear online identification of dynamic systems with restricted
genetic optimization. In Proceedings of the 6th European Congress on Intelligent Techniques and Soft
Computing, volume 1, pages 423–428, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen
(Germany). †CCA68336/99 ga98bSGarrido.
[2169] A. F. Sheta and A. H. Abel-Wahab. Identification of nonlinear communication channel using evolutionary
Volterra time-series. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1,
pages 229–235, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77350/99 ga99aAFSheta.
[2170] T. Asakura and Q. Guo. Identification of nonlinear time lag systems by improved genetic algorithm and its
application to explosion-proof pneumatic robots. Memoirs of the Faculty of Engineering, Fukui University
(Japan), 47(1):89–103, 1999. †CCA60698/99 ga99aAsakura.
[2171] Chan G. Koh, C. Y. Liaw, and B. Hong. Structural monitoring by system identification in time domain.
In Steve C. Liu, editor, Smart Structures and Materials 1999: Smart Systems for Bridges, Structures,
and Highways, volume SPIE-3671, pages 337–342, ?, May 1999. The International Society for Optical
Engineering. * www/SPIE Web ga99aCGKoh.
[2172] G.-C. Luh and C. Y. Wu. Non-linear system identification using genetic algorithms. Journal of Systems
Control Engineering, 213(I2):105–118, 1999. ga99aG-CLuh.
[2173] G. P. Liu and V. Kadirkamanathan. Multiobjective criteria for neural network structure selection and
identification of nonlinear systems using genetic algorithms. IEE Proc., Control Theory Appl. (UK),
146(5):373–382, 1999. †CCA94450/99 ga99aGPLiu.
[2174] Katya Rodrı́guez-Vázquez and P. J. Fleming. A genetic algorithm for subset selection in system identification. In ?, editor, Second Mexican International Conference on Computer Science ENC’99, page ?,
Mexico, ? 1999. ? †[2453] ga99aKRodriguez-Vazquez.
[2175] Linyu Yang, J. Yen, A. Rajesh, and K. D. Kihm. A supervisory architecture and hybrid GA for the identifications of complex systems. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,
volume 2, pages 862–869, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA81460/99
ga99aLinyYang.
[2176] S. L. Lyoka. Method for nonlinear transfer function approximation. Electronics Letters, 35(10):789–791,
13. May 1999. ga99aSLLoyka.
[2177] L dos Santos Coelho and A. A. Rodrigues Coelho. Evolutionary algorithms in identification and control
of industrial process: an overview and perspectives. Controle Autom. (Brazil), 10(1):13–30, January-April
1999. * CCA 54942/99 ga99aSantosCoelho.
[2178] Xu Lina and Li Linlin. Application of genetic algorithm to identification of nonlinear system. J. Harbin
Inst. Technol. (China), 31(2):39–42, 1999. In Chinese †CCA60613/99 ga99aXuLina.
[2179] M. Ranganath, S. Renganathan, and C. Gokulnath. Identification of bioprocess using genetic algorithm.
Bioprocess Engineering, 21(2):123–127, ? 1999. * www /Springer ga99bMRanganath.
[2180] Hartmut Pohlheim and Peter Marenbach. Generation of structured process models using genetic programming. In Fogarty? [2432], pages 143–148. ga9baPohlheim.
[2181] W. Berke. Kontinuierliche Regenerierung von ATP für enzymatische Synthesen. PhD thesis, Technische Universität der Berlin, Fachbereich Lebensmitteltechnologie und Biotechnologie, 1984. †BackBib
ga:BerkeThesis.
Bibliography
203
[2182] George H. Burgin. System identification by quasilinearization and by evolutionary programming. Journal
of Cybernetics, 3(2):56–75, 1973. †Back/bib/unp ga:Burgin73.
[2183] Frank Lup Ki Wan. Genetic algorithms, their applications and models in nonlinear system identification.
Master’s thesis, University of British Columbia, Department of Electrical Engineering, 1991. †Kristinsson
ga:FWanMSThesis.
[2184] David B. Fogel. Evolutionary system identification and control. In A. C. Weaver, editor, IECON’90,
16th Annual Conference of the IEEE Industrial Electronics Society, pages 1271–1274, Pacific Grove, CA,
November 1990. IEEE. †Fogel/bib ga:Fogel90h.
[2185] David B. Fogel. System Indentification Through Simulated Evolution: A Machine Learning Approach to
Modeling. Ginn Press, Needham Heights, MA, 1991. ga:Fogel91book.
[2186] David B. Fogel. System identification through simulated evolution. Master’s thesis, University of California
at San Diego, 1990. †Fogel ga:FogelMSThesis.
[2187] K. J. Hunt. Systems identification with genetic algorithms. In Proceedings of the IEE Colloquium on
Genetic Algorithms for Control and Systems Engineering [2457], pages 3/1–3/3.
* CCA 63801/93
ga:Hunt93a.
[2188] Kevin Warwick and Yong Ho Kang. Genetic algorithms for on-line system identification. In Albrecht et al.
[2420], pages 436–440. ga:KWarwick93a.
[2189] Leehter Yao, William A. Sethares, and Daniel C. Kammer. Sensor placement for on-orbit modal identification of large space structure via a genetic algorithm. AIAA Journal, 31(10):1922–1928, October 1993.
ga:Kammer93a.
[2190] Hillol Kargupta and Robert Elliot Smith. System indentification with evolving polynomial networks. In
Belew and Booker [2421], pages 370–376. ga:Kargupta91.
[2191] Howard Kaufman. An experimental investigation of process identification by competitive evolution. IEEE
Transactions on Systems, Science, and Cybernetics, SSC-3(1):?, ? 1967. †[2454] ga:Kaufman67a.
[2192] Martin A. Keane, John R. Koza, and James P. Rice. Finding an impulse response function using genetic
programming. In Proceedings of the 1993 American Control Conference, volume 3, pages 2345–2350, San
Francisco, CA, 2.-4. June 1993. IEEE, New York. ga:Koza93d.
[2193] Kristinn Kristinsson and Guy A. M. Dumont. Genetic algorithms in system identification. In H. E.
Stephanou, A. Meystel, and J. Y. S. Luh, editors, Proceedings of the Third International Symposium on
Intelligent Control, pages 597–602, Arlington, VA, 24.-26. August 1988. IEEE Computer Society Press,
Los Alamitos, CA. * EI A026691/90 ga:Kristinsson88.
[2194] Kristinn Kristinsson and Guy A. M. Dumont. System identification and control using genetic algorithms.
Technical Report No. PGRL483, University of British Columbia, Department of Electrical Engineering,
Vancouver, 1991. † ga:Kristinsson91a.
[2195] Frank Lup Ki Wan, Guy A. M. Dumont, N. Sepehri, P. D. Lawrence, and Kristinn Kristinsson. On
identification of hydraulic compliance using a genetic algorithm. In ?, editor, CANCAM91, Thirteenth
Canadian Congress of Applied Mechanics, page ?, University of Manitoba, Winnipeg, Manitoba, 2.-6. June
1991. ? †Fogel/bib ga:Kristinsson91b.
[2196] Kristinn Kristinsson and Guy A. M. Dumont. System identification and control using genetic algorithms.
IEEE Transactions on Systems, Man, and Cybernetics, 22(5):1033–1046, 1992. ga:Kristinsson92.
[2197] Stuart J. Flockton and Michael S. White. Pole-zero system identification using genetic algorithms. In
Forrest [2422], pages 531–535. ga:MSWhite93a.
[2198] David Maclay and Robert E. Dorey. Application of genetic search techniques to drivetrain modeling. In
Proceedings of the 1992 IEEE International Symposium on Intelligent Control, pages 542–547, Glasgow
(Scotland), 11.-13. August 1992. IEEE. ga:Maclay92a.
[2199] David Maclay and Robert E. Dorey. Applying genetic search techniques to drivetrain modeling. IEEE
Control Systems Magazine, 13(3):50–55, 1993. also as [2198] ga:Maclay93a.
[2200] A. V. Sebald. Issues in autonomous system identification using evolutionary programming. In Fogel and
Atmar [2435], pages 164–169. †Fogel/bib ga:Sebald92a.
[2201] Timothy Johnson and Philip Husbands. System identification using genetic algorithms. In Schwefel and
Männer [2451], pages 85–89. ga:TJohnson90.
[2202] C. James Li and Y. C. Jeon. Genetic algorithm in identifying non linear auto regressive with exogenous
input models for non linear systems. In Proceedings of the 1993 American Control Conference, volume 3,
pages 2305–2309, San Francisco, CA, 2.-4. June 1993. IEEE, New York. ga:YCJeon93a.
204
[2203] Hitoshi Iba, Takio Kurita, Hugo de Garis, and Taisuke Sato. System identification using structured genetic
algorithms. In Forrest [2422], pages 279–286. ga:deGaris93d.
[2204] Christian Küblbeck. Optimized configuration of systems for texture analysis. In Kenneth W. Tobin, editor,
Machine Vision Applications in Industrial Inspection VIII, volume SPIE-3966, pages 123–133, ?, March
2000. The International Society for Optical Engineering. * www/SPIE Web ga00aCKueblbeck.
[2205] L. B. Jack and A. K. Nandi. Genetic algorithms for feature selection in machine condition monitoring with
vibration signals. In IEE Proceedings - Vision, Image and Signal Processing, volume 147, pages 205–212,
?, June 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aLBJack.
[2206] Timo Mantere and Jarmo T. Alander. Automatic test image generation by genetic algorithms for testing
halftoning methods. In David P. Casasent, editor, Intelligent Systems and Advanced Manufacturing: Intelligent Robots and Computer Vision XIX: Algorithms, Techniques, and Active Vision, volume SPIE-4197,
pages 297–308, Boston, MA, 5. -8. November 2000. The International Society for Optical Engineering,
Bellingham, WA. ga00gAlander.
[2207] Jairo Rocha and Arnau Mir. Articulated object tracking via a genetic algorithm. In M. Figueiredo, J. Zerubia, and A. K. Jain, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition,
Third International Workshop, EMMCVPR 2001, volume LNCS of 2134, pages 134–152, Sophia Antipolis
(France), 3.-5. September 2001. Springer-Verlag Berlin Heidelberg. * www /Springer ga01aJRocha.
[2208] Timo Mantere and Jarmo T. Alander. Testing a structural light vision software by genetic algorithms—
estimating the worst case behavior of volume measurement. In David P. Casasent and Ernest L. Hall,
editors, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, volume
SPIE-4572, pages 466–475, Boston, MA, 29. -31. October 2001. The International Society for Optical
Engineering, Bellingham, WA. ga01dMantere.
[2209] Benyamin Kusumoputro, Martha Y. Pangabean, and Leila F. Rachman. Genetic algorithms in optimization
of 3D face recognition system using cylindrical-hidden layer neural network in its eigenspace domain. In
Kevin G. Harding and John W. Miller, editors, Machine Vision and Three-Dimensional Imaging Systems
for Inspection and Methodology II, volume SPIE-4567, pages 84–93, ?, February 2002. The International
Society for Optical Engineering. * www/SPIE Web ga02aBKusumoputro.
[2210] Chi Kin Chow, Hung Tat Tsui, and Tong Lee. Fast free-form surface registration by a new genetic
algorithm. In ?, editor, Proceedings of The Fifth Asian Conference on Computer Vision, volume ?, pages –
, Melbourne (NSW), 23.-25. January 2002. ? ga02aChiKinChow.
[2211] M. Everingham, H. Muller, and B. Thomas. Evaluating image segmentation algorithms using the Pareto
front. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Computer Vision - ECCV 2002, 7th
European Conference on Computer Vision, volume LNCS of 2353, pages 34–48, Copenhagen (Denmark),
28.-31. May 2002. Springer-Verlag Berlin Heidelberg. * www /Springer ga02aMEveringham.
[2212] Luciano Silva, Olga Regina Pereira Bellon, Kim L. Boyer, and Paulo F. U. Gotardo. Low-overlap range
image registration for archaeological applications. In Proceedings of the 2003 Conference on Computer
Vision and Pattern Recognition Workshop (CVPRW’03), volume 1, page ?, ?, 16.-22. June 2003. IEEE,
Piscataway, NJ. ga03aLucianoSilva.
[2213] Timo Mantere and Jarmo T. Alander. Testing digital halftoning filters by generating test images and
filters coevolutionarily. In David P. Casasent and Ernest L. Hall, editors, Intelligent Robots and Computer
Vision XXI: Algorithms, Techniques, and Active Vision, volume SPIE-5267, pages 257–268, Providence,
Rhode Island, 28. -29. October 2003. The International Society for Optical Engineering, Bellingham, WA.
ga03dMantere.
[2214] Zachary J. Bortolot. An Adaptive Computer Vision Technique for Estimating the Biomass and Density
of Loblolly Pine Plantations using Digital Orthophotography and LiDAR Imagery. PhD thesis, Virginia
Polytechnic Institute and State University, Department of Forestry, 2000. ga04aZJBortolot.
[2215] Hongying Zhang, Xiaozhou Zhou, Jizhou Sun, and Jiawan Zhang. A novel medical image registration
method based on mutual information and genetic algorithm. In Proceedings of the 2005 International
Conference on Computer Graphics, Imaging and Vision: New Trends (CGIV’05), pages 221–226, ?, 26.29. July 2005. IEEE Computer Society, Piscataway, NJ. ga05aHongyingZhang.
[2216] M. Roberts and Ela Claridge. Learning feature extraction and classification simultaneously by means of
co-evolutionary genetic programming. In ?, editor, BMVA Symposium on Pattern Recognition in Machine Learning in Machine Vision, volume ?, page ?, London (UK), January 2005. ? †www /Claridge
ga05aMRoberts.
Bibliography
205
[2217] Timo Mantere. Object and pose recognition with cellular genetic algorithm. In David P. Casasent, Ernest L.
Hall, and Juha Röning, editors, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques,
and Active Vision, volume SPIE-6764, pages 67640N–1–10, Boston, MA, 9. -11. September 2007. The
International Society for Optical Engineering, Bellingham, WA. ga07bTimoMantere.
[2218] Janne Koljonen, Timo Mantere, Olli Kanniainen, and Jarmo T. Alander. Searching strain field parameters
by genetic algorithms. In David P. Casasent, Ernest L. Hall, and Juha Röning, editors, Intelligent Robots
and Computer Vision XXV: Algorithms, Techniques, and Active Vision, volume SPIE-6764, pages 67640O–
1–9, Boston, MA, 9. -11. September 2007. The International Society for Optical Engineering, Bellingham,
WA. ga07cTimoMantere.
[2219] Timo Mantere. Testing imaging systems with genetic algorithms - case: error diffusion methods. In
David P. Casasent, Ernest L. Hall, and Juha Röning, editors, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, volume SPIE-6764, pages 67640V–1–10, Boston,
MA, 9. -11. September 2007. The International Society for Optical Engineering, Bellingham, WA.
ga07dTimoMantere.
[2220] M. Beckerleg and J. Collins. Evolving electronic circuits for robotic control. In Proceedings of the 15th
International Conference on Mechatronics and Machine Vision in Practise (M2VIP08), pages 651–656,
Auckland (New Zealand), 2.-4. December 2008. IEEE, Piscataway, NJ. ga08aMBeckerleg.
[2221] Guna S. Seetharaman, Amruthur Narasimhan, Anand Sathe, and Lisa Storc. Image segmentation with genetic algorithm: a formulation and implementation. In Su-Shing Chen, editor, Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, volume SPIE-1569, pages 269–273, ?,
October 1991. The International Society for Optical Engineering. * www/SPIE Web ga91aGSSeetharaman.
[2222] Allen Himler and Harry Wechsler. Suboptimal MAP estimates using A* and genetic algorithms. In David P.
Casasent, editor, Intelligent Robots and Computer Vision X: Algorithms and Techniques, volume SPIE1607, pages 27–37, ?, February 1992. The International Society for Optical Engineering. * www/SPIE
Web ga92aAHimler.
[2223] ?, editor. IEE Colloquium on ’Genetic Algorithms in Image Processing and Vision’, volume Digest No.
1994/193, London, 20. October 1994. IEE, London. * EEA 90774/94 ga94IEE193.
[2224] Jim Smith, Terence C. Fogarty, and I. R. Johnson. Genetic selection of features for clustering and classification. In IEE Colloquium on ‘Genetic Algorithms in Image Processing and Vision’, volume IEE Digest
No. 1994/193, pages 4/1–4/5, ?, ? 1994. IEE, London. †Fogarty ga94aJSmith.
[2225] J. Louchet. An evolutionary algorithm for physical motion analysis. In ?, editor, Proceedings of the 5th
British Machine Vision Conference (BMVC94), volume 2, pages 701–710, York (UK), 13.-16. September
1994. BMVA Press, Guilford (UK). * EEA 41228/95 CCA 36965/95 ga94aLouchet.
[2226] Richard Y. Kim, Keith C. Drake, and Tony Y. Kim. Hierarchical polynomial network approach to automated target recognition. In J. M. Selander, editor, 22nd AIPR Workshop: Interdisciplinary Computer
Vision: Applications and Changing Needs, volume SPIE-2103, pages 80–91, ?, February 1994. The International Society for Optical Engineering. * www/SPIE Web ga94aRichardYKim.
[2227] Shigeyuki Sakane, Toshiji Kuruma, Toru Omata, and Tomomasa Sato. Planning focus of attention for
multifingered hand with consideration of time-varying aspects. In Proceedings of the 2nd IEEE CAD Based
Vision Workshop, pages 151–160, Champion, PA, 8.-11. February 1994. IEEE Computer Society Press,
Los Alamitos, CA. * EI M024337/95 ga94aSakane.
[2228] William J. Wolfe. Hybrid Hopfield networks. In David P. Casasent, editor, Intelligent Robots and Computer
Vision XIII: Algorithms and Computer Vision, volume SPIE-2353, pages 364–374, ?, October 1994. The
International Society for Optical Engineering. * www/SPIE Web ga94aWJWolfe.
[2229] Wolfgang Müller and Axel Hildebrand. Shape from texture: an evaluation of visual cues. In Bernice E.
Rogowitz and Jan P. Allebach, editors, Human Vision, Visual Processing, and Digital Display V, volume
SPIE-2179, pages 220–234, ?, May 1994. The International Society for Optical Engineering. * www/SPIE
Web ga94aWMueller.
[2230] A. M. S. Zalzala and K. K. Chan. An evolutionary solution for the control of mechanical arms. In ?,
editor, Proceedings of the 3rd International Conference on Automation, Robotics and Computer Vision
(ICARV’94), page ?, Singapore, 8.-11. November 1994. ? †[2455] ga94aZalzala.
[2231] R. J. Abbott, M. L. Campbell, and W. C. Krenz. Scheduling robotic actions by genetic algorithms. In ?,
editor, Proceedings of the 1st International Conference on Vision and Movement in Man and Machines in
Honor of Professor Lawrence Stark (STARKFEST 94), page ?, Berkeley, CA, 24.-26. June 1994. University
of Berkeley, Berkeley, CA. †P68650 ga94bAbbott.
206
[2232] R. S. Beattie and S. C. Elder. Maximum likelihood image identification and restoration using genetic
algorithms. In Proceedings of the IEE Colloquium on ‘Genetic Agorithms in Image Processing and Vision’, volume ?, pages 10/1–10/6, London, UK, 20. October 1994. IEE, London, UK. †CCA726/95
ga94bBeattie.
[2233] D. A. Coley and U. Bunting. The identification of complex objects from NMR images by genetic algorithm.
In Proceedings of the IEE Colloquium on ‘Genetic Algorithms in Image Processing and Vision’, volume ?,
pages 9/1–9/6, London, UK, 20. October 1994. IEE, London, UK. †CCA725/95 ga94bColey.
[2234] Konstantinos K. Delibasis and Peter E. Undrill. Genetic algorithms and deformable geometric models for
anatomical object recognition. In Proceedings of the IEE Colloquium on ‘Genetic Algorithms in Image
Processing and Vision’, volume ?, pages 8/1–8/7, London, UK, 20. October 1994. IEE, London, UK.
†CCA724/95 ga94bDelibasi.
[2235] M. Hajek. Optimization of fuzzy rules by using a genetic algorithm. In ?, editor, Proceedings of the Third
International Conference on Automation, Robotics and Computer Vision, volume 3, pages 2111–2115,
Singapore, 9.-11. November 1994. Nanyang Technol. University, Singapore. * CCA78813/96 ga94bHajek.
[2236] B. C. H. Turton, T. Arslan, and David H. Horrocks. A hardware architecture for a parallel genetic algorithm
for image registration. In Proceedings of the IEE Collquium on Genetic Algorithms in Image Processing
and VisionInternational Conference on, pages 11/1–11–6, ?, ? 1994. IEEE, Piscataway, NJ. ga94bTurton.
[2237] Michael S. White, E. R. Davies, and Stuart J. Flockton. The application of genetic algorithms to feature
recognition and object counting. In Proceedings of the IEE Coloquium ‘Genetic Algorithms in Image
Processing and Vision’, volume ?, pages 3/1–3/6, London, UK, 20. October 1994. IEE, London, UK.
†CCA720/95 ga94bWhite.
[2238] Hideo Saito and Masayuki Mori. Application of genetic algorithm to stereo matching. In Proceedings of
the Japan-Israel Workshop on Computer Vision and Visual Communication, pages 64–67, Haifa (Israel),
October 1994. ? †Saito/www ga94cSaito.
[2239] John R. Koza. Automated discovery of detectors and iteration-performing calculations to recognize patterns
in protein sequences using genetic programming. In Proceedings of the 1994 IEEE Computer Society
Conference on Computer Vision and Pattern Recognition, pages 684–689, Seattle, WA, 21.-23. June 1994.
IEEE Computer Society Press, Los Alamitos, CA. ga94eKoza.
[2240] A. Kutics. A new evolutionary approach for blood vessel detection on a transputer network. In ?, editor,
Proceedings of the 2nd Asian Conference on Computer Vision (ACCV’95), volume 1, pages 106–110,
Singapore, 5.-8. December 1995. Nanyang Technol. Univ., Singapore. * CCA 75624/96 ga95aKutics.
[2241] Suman K. Mitra, C. A. Murthy, and M. K. Kundu. Fractal based image coding using genetic algorithm. In
P. P. Das and B. N. Chatterji, editors, Recent Advances in Pattern Recognition, Image Processing and Computer Vision, pages 86–91. Narosa Publishing House, New DelhiSingapore, 1998. †[461] ga95aSKMitra.
[2242] Fabio Abbattista, F. Cardilli, and A. M. Fanelli. Genetic design of vector quantizer codebooks. In ?, editor,
Proceedings of the Second Asian Conference on Computer Vision, volume 1, pages I/454–I/457, Singapore,
5.-8. December 1995. Nanyang Technol. University, Singapore. †EEA86705/96 ga95bAbbattista.
[2243] Yew-Hock Ang and Tze-Liang Chiam. A genetic k-means clustering algorithm for face recognition. In
?, editor, Proceedings of the Second Asian Conference on Computer Vision, volume 2, pages 469–473,
Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore. †CCA69861/96 ga95bAng.
[2244] R. Chan and A. G. Constantinides. Robust model-based object recognition using an improved genetic
algorithm. In ?, editor, Proceedings of the Second Asian Conference on Computer Vision, volume 2,
pages 772–776, Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore. †CCA72934/96
ga95bChan.
[2245] S. Golukakrishnan, C. Chellappen, and V. Sankaranasayanan. Genetic based topology optimized backpropagation network (OSTOP system) for finger print identification. In Proceedings of the Second Asian
Conference on Computer Vision, pages 108–112, Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore. †CCA 69761/96 ga95bGolukakr.
[2246] I. Murase, S. Kaneko, and T. Honda. Inductive learning of primitive shapes by genetic algorithm. In
?, editor, Proceedings of the Second Asian Conference on Computer Vision, volume 2, pages 593–597,
Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore. †EEA86862/96 ga95bMurase.
[2247] J. Polvichai and P. Chongstitvatana. Visually-guided reaching by genetic programming. In Proceedings of
the Second Asian Conference on Computer Vision, volume 3, pages 329–333, Singapore, 5.-8. December
1995. Nanyang Technol. University, Singapore. †CCA71618/96 ga95bPolvicha.
Bibliography
207
[2248] P. Scheunders. Genetic optimal quantization of gray-level and color images. In Proceedings of the Second
Asian Conference on Computer Vision, volume 2, pages 94–98, Singapore, 5.-8. December 1995. Nanyang
Technol. University, Singapore. †CCA 69759/96 ga95bScheunde.
[2249] Yen-Wei Chen, Zensho Nakao, M. Iguchi, and S. Tamura. Evolutionary reconstruction of coded images.
In ?, editor, Proceedings of the Second Asian Conference on Computer Vision, volume 2, pages 514–518,
Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore. †CCA72921/96 ga95bY-WChen.
[2250] Y. Mori and A. Sakurai. Integral features using random templates and evolutionary method for image
recognition. In ?, editor, Proceedings of the Second Asian Conference on Computer Vision, volume 3,
pages 285–289, Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore. †CCA73128/96
ga95bYMori.
[2251] Y. Yahata, M. Ohta, M. Izumi, and K. Fukunaga. Position and pose estimation of an object using nonlinear
least squares method and genetic algorithm. In Proceedings of the Second Asian Conference on Computer
Vision, volume 3, pages 529–533, Singapore, 5.-8. December 1995. Nanyang Technol. University, Singapore.
†CCA69910/96 ga95bYahata.
[2252] I. Yoda. Automatic generation of directional erosion and dilation sequence by genetic algorithms. In
Proceedings of the Second Asian Conference on Computer Vision, volume 2, pages 103–107, Singapore,
5.-8. December 1995. Nanyang Technol. University, Singapore. †CCA69847/96 ga95bYoda.
[2253] David G. Browne. Vision-based obstacle avoidance: A coevolutionary approach. Bachelor dissertation,
Monash University, Australia, Department of Software Development, July 1996. †[951] ga96aBrowne.
[2254] A. El Ouaazizi and R. Benslimane. Line fitting in noisy data using genetic algorithm. In Proceedings of the
1997 International Conference on Quality Control by Artificial Vision, volume ?, pages 214–217, Le Creusot
(France), 28.-30. May 1997. Cepadues-Editions, Toulouse, France. †EEA92584/97 ga97aAElQuaazizi.
[2255] Bill Wren, Norman Tarleton, and Peter F. Symosek. Processor design optimization methodology for
synthetic vision systems. In Jacques G. Verly, editor, Enhanced and Synthetic Vision 1997, volume SPIE3088, pages 81–87, ?, June 1997. The International Society for Optical Engineering. * www/SPIE Web
ga97aBWren.
[2256] Suchendra M. Bhandarkar and Xia Zeng. Figure-ground separation: a case study in energy minimization
via evolutionary computing. In Proceedings of the International Workshop Energy Minimization Methods
in Computer Vision and Pattern Recognition, pages 375–390, Venice (Italy), 21.-23. May 1997. SpringerVerlag, Berlin (Germany). †CCA71073/97 ga97aBhandarkar.
[2257] Shoichiro Iwasawa, Kazuyuki Ebiharai, Jun Ohya, and Shigeo Morishima. Real-time estimation of human
body posture from monocular thermal images. In Proceedings of the 1997 IEEE International Conference on Computer Vision and Pattern Recognition, pages 15–20, San Juan, PR, 17.-19. June 1997. IEEE
Computer Society Press, Los Alamitos, CA. * EI M158335/97 ga97aIwasawa.
[2258] Mohamed N. Ahmed, Sameh M. Yamany, E. Hemayed, S. Ahmed, S. Roberts, and Aly A. Farag. 3D
reconstruction of the human jaw from a sequence of images. In Proceedings of the 1997 IEEE International
Conference on Computer Vision and Pattern Recognition, pages 646–652, San Juan, PR, 17.-19. June 1997.
IEEE Computer Society Press, Los Alamitos, CA. * EI M159938/97 ga97aMAhmed.
[2259] Richard Myers and Edwin R. Hancock. Genetic algorithms for ambiguous labelling problems. In Proceedings
of the International Workshop Energy Minimization Methods in Computer Vision and Pattern Recognition,
pages 345–360, Venice (Italy), 21.-23. May 1997. Springer-Verlag, Berlin (Germany). †EEA87342/97
ga97aMyers.
[2260] Jeffrey Newbern and V. Michael Bove, Jr. Generation of blue noise arrays by genetic algorithm. In
B. E. Rogowitz and T. N. Pappas, editors, Human Vision and Electronic Imaging II, volume SPIE-3016,
pages 441–450, San Jose, CA, 10.-13. February 1997. SPIE- Int. Soc. Optical Engineering, Bellingham.
ga97aNewbern.
[2261] P. Thomas and D. Vernon. Image registration by differential evolution. In ?, editor, Proceedings of the
Irish Machine Vision and Image Processing Conference, pages 221–225, ?, ? 1997. ? (available via www
URL: www.cs.may.ie/~ pthomas/) ga97aPThomas.
[2262] J. H. Parker. chapter 10. Genetic algorithms and evolutionary computing, pages 357–386. John Wiley &
Sons, New York, NY, 1997. ga97aParker.
[2263] Wolfgang Pölzleitner and Oliver Sidla. Optimizing context-based stereo using genetic feature selection.
In Kevin S. Harding and Donald J. Svetkoff, editors, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, volume SPIE-3208, pages ?–?, Pittsburgh,
PA, 15. -17. October 1997. The International Society for Optical Engineering, Bellingham, WA. †prog.
ga97aPolzleitner.
208
[2264] A. Rouvinen and H. Handroos. Robot positioning of a flexible hydraulic manipulator utilizing genetic algorithm and neural networks. In Proceedings of the Fourth Annual Conference on Mechatronics and Machine
Vision in Practice, pages 182–187, Toowoomba (Australia), 23.-25. September 1997. IEEE, Piscataway,
NJ. †P77390/97 ga97aRouvinen.
[2265] Yuntao Cui and Qian Huang. Character extraction of license plates from video. page 502.
[2266] Cheng-Chang Lien and Chung-Lin Huang. The model-based dynamic hand posture identification using
genetic algorithm. In ?, editor, Proceedings of the Third Asian Conference on Computer Vision, volume 1,
pages 706–713, Hong Kong, 8.-10. January 1998. Springer-Verlag, Berlin (Germany). †CCA21472/98
ga98aChenLien.
[2267] Devil H. Yip and William W. Yu. Novel design of neural networks for handwritten Chinese character
recognition. In Robert A. Melter, Angela Y. Wu, and Login J. Latecki, editors, Vision Geometry VII,
volume SPIE-3454, pages 324–329, ?, October 1998. The International Society for Optical Engineering. *
www/SPIE Web ga98aDHYip.
[2268] Guido Tascini, Antonella Carbonaro, and Primo Zingaretti. Unauthorized access identification in restricted
areas. In Jacques G. Verly, editor, Enhanced and Synthetic Vision 1998, volume SPIE-3364, pages 278–286,
?, July 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aGTascini.
[2269] Gerhard Paar, Oliver Sidla, and Wolfgang Pölzleitner. Genetic feature selection for highly-accurate stereo
reconstruction of natural surfaces. In David P. Casasent, editor, Intelligent Systems and Advanced Manufacturing: Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision,
volume SPIE-3522, pages 455–466, Boston, MA, 2.-3. November 1998. SPIE. ga98aGerhardPaar.
[2270] Jin Wook Kim, Eun Yi Kim, S. H. Park, and Hang Joon Kim. Segmentation of MRF based image using
hierarchical genetic algorithm. In ?, editor, Proceedings of the Third Asian Conference on Computer
Vision, volume 1, pages 730–737, Hong Kong, 8.-10. January 1998. Springer-Verlag, Berlin (Germany).
†CCA18507/98 ga98aJinWookKim.
[2271] Jinxiang Chai and SongDe Ma. Robust epipolar geometry using genetic algorithm. In ?, editor, Proceedings
of the Third Asian Conference on Computer Vision, volume 1, pages 272–279, Hong Kong, 8.-10. January
1998. Springer-Verlag, Berlin (Germany). †CCA18495/98 ga98aJinxChai.
[2272] Lucia Ballerini. Genetic snakes for medical image segmentation. In Francoise Preteux, Jennifer L. Davidson,
and Edward R. Dougherty, editors, Mathematical Modeling and Estimation Techniques in Computer Vision,
volume SPIE-3457, pages 284–295, ?, September 1998. The International Society for Optical Engineering.
* www/SPIE Web ga98aLBallerini.
[2273] C. L. Pagliari and T. J. Dennis. Evolutionary methods applied to binocular disparity estimation. In ?,
editor, Proceedings of the Third Asian Conference on Computer Vision, volume 1, pages 264–271, Hong
Kong, 8.-10. January 1998. Springer-Verlag, Berlin (Germany). †CCA18494/98 ga98aPagliari.
[2274] Jarmo T. Alander, Timo Mantere, and Tero Pyylampi. Threshold matrix generation for digital halftoning
by genetic algorithm optimization. In David P. Casasent, editor, Intelligent Systems and Advanced Manufacturing: Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision,
volume SPIE-3522, pages 204–212, Boston, MA, 2.-3. November 1998. SPIE. (available via anonymous
ftp site ftp.uwasa.fi directory cs/report98-1 file Halftoning.ps.Z) ga98lAlander.
[2275] F. Yano and Y. Toyoda. Preferable movement of a multi-joint robot arm using genetic algorithm. In
Proceedings of the Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active
Vision, volume SPIE-3837, Boston, MA, 20.-21. September 1999. SPIE. † ga99aFYano.
[2276] John A. Rieffel, Christopher Dileo, and Bruce A. Maxwell. Evolving optimal histogram parameter for object
recognition. In David P. Casasent, editor, Intelligent Robots and Computer Vision XVIII: Algorithms,
Techniques, and Active Vision, volume SPIE-3837, pages 194–201, ?, August 1999. The International
Society for Optical Engineering. * www/SPIE Web ga99aJARieffel.
[2277] M. Mignotte and J. Meunier. Deformable template and distribution mixture-based data modelling for
endocardial contour tracking in an echograohic. In IEEE Computer Society Conference on Computer
Vision and Pattern Recognition, volume 1, page 230, Fort Collins, CO, USA, 23.-25.June 1999. IEEE,
Piscataway, NJ. * www/IEEE ga99aMMignotte.
[2278] Wolfgang Pölzleitner and G. Schwingshaki. Quality classification of wooden surfaces using Gabor filters
and genetic feature optimization. In Proceedings of the Intellitgent Robots and Computer Vision XVIII:
Algorithms, Techniques, and Active Vision, volume SPIE-3837, Boston, MA, 20.-21. September 1999. SPIE.
† ga99aPolzleitner.
Bibliography
209
[2279] Diane J. Cook. Using analytic and genetic methods to learn plans for mobile robots. In ?, editor, Proceedings
of the SPIE’s OE/Aerospace and Remote Sensing Symposium (Machine Vision and Robotics), volume
SPIE-1964, pages ?–?, Orlando, FL, 12. -16. April 1993. The International Society for Optical Engineering,
Bellingham, WA. †GAdigest V. 9 N. 48 ga:DJCook93a.
[2280] Gary P. Ford and Jun Zhang. Structural graph-matching approach to image understanding. In David P.
Casasent, editor, Intelligent Robots and Computer Vision X: Algorithms and Techniques, volume SPIE1607, pages 559–569, Boston, MA, 11. - 13. November 1991. SPIE – The International Society for Optical
Engineering. * EI A074057/92 ga:Ford91a.
[2281] David T. Cliff, Inman Harvey, and Philip Husbands. General visual robot controller networks via artificial
evolution. In D. Casasent, editor, Intelligent Robots and Computer Vision XII: Algorithms and Techniques,
volume SPIE-2055, page ?, Boston, MA, 7. -10. September 1993. The International Society for Optical
Engineering. ga:Harvey93k.
[2282] A. Hill, C. J. Taylor, and T. Cootes. Object recognition by flexible template matching using genetic algorithms. In Computer Vision – ECCV’92. Second European Conference on Computer Vision Proceedings,
pages 852–856, Santa Margherita Ligure, Italy, 18.-23. May 1992. Springer-Verlag, Berlin. * CCA 2955/93
ga:Hill92a.
[2283] Allen Himler and Harry Wechsler. Suboptimal MAP estimates using A* and genetic algorithms. In
David P. Casasent, editor, Intelligent Robots and Computer Vision X: Algorithms and Techniques, volume
SPIE-1607, pages 27–37, Boston, MA, 11. - 13. November 1991. SPIE – The International Society for
Optical Engineering. ga:Himler91.
[2284] Xinming Yu, T. D. Bui, and A. Krzyżak. Range image segmentation and fitting by residual consensus.
In Proceedings of the 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’92), pages 657–660, Champaign, IL, 15.-18. June 1992. IEEE Computer Society Press, Los
Alamitos, CA. * www /IEEE ga:Krzyzak92a.
[2285] David E. Larch. Genetic algorithms for terrain categorization of Landsat images. In J. M. Selander, editor, 22nd AIPR Workshop Interdisciplinary Computer Vision: Applications and Changing Needs, volume
SPIE-2103, pages 14–19, Washington, DC, 13. -15. October 1993. The International Society for Optical
Engineering. †EEA 59590/94 P61289/94 [857] ga:Larch93.
[2286] Hiroyuki Mori and K. Takeda. Power system decomposition using a simulated evolution technique.
In Proceedings of the Second International Conference on Automation, Robotics and Computer Vision
(ICARCV’92), volume 3, pages INV 11.2/1–5, Singapore, 16.-18. September 1992. Nanyang Technol. University, Singapore. * CCA 18640/93 EEA 24734/94 ga:Mori92a.
[2287] Hiroyuki Mori and T. Horiguchi. A method for economic load dispatching using a genetic algorithm.
In Proceedings of the Second International Conference on Automation, Robotics and Computer Vision
(ICARCV’92), volume 3, pages INV 11.4/1–5, Singapore, 16.-18. September 1992. Nanyang Technol.
University, Singapore. * EEA 24736/94 ga:Mori92b.
[2288] Renaud de Peufeilhoux. Genetic fusion of registered images. In David P. Casasent, editor, Intelligent Robots
and Computer Vision X: Algorithms and Techniques, volume SPIE-1607, pages 380–384, Boston, MA, 11.
- 13. November 1991. SPIE – The International Society for Optical Engineering. ga:Peufeilhoux91.
[2289] Gerhard Roth and Martin D. Levine. Geometric primitive extraction using a genetic algorithm. In
Proceedings. 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages
640–643, Champaign, IL, 15.-18. June 1992. IEEE Computer Society Press, Los Alamitos, CA. * CCA
31577/93 ga:Roth92a.
[2290] Bir Bhanu, John Ming, and Sungkee Lee. Closed-loop adaptive image segmentation. In Proceedings of the
1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’91), pages
734–735, Maui, HI, 3.-6. June 1991. IEEE Computer Society Press, Los Alamitos, CA. ga:SLee91b.
[2291] B. Ravichandran and Arthur C. Sanderson. Model-based matching using a minimum representation size
criterion and a hybrid genetic algorithm. In H. H. Nasr and R. M. Larson, editors, Model-Based Vision,
volume SPIE-1827, pages 76–87, Boston, MA, 19.-20. November 1992 1993. The International Society for
Optical Engineering. ga:Sanderson93a.
[2292] James Zhen Tu and Ernest L. Hall. Learning the optimal discriminant function through genetic learning
algorithm. In David P. Casasent, editor, Intelligent Robots and Computer Vision X: Algorithms and Techniques, volume SPIE-1607, pages 614–625, Boston, MA, 11.-13. November 1991. SPIE – The International
Society for Optical Engineering. ga:Tu91.
210
[2293] Steve G. Schlosser, John M. Trenkle, and Robert C. Vogt. Feature set optimization for the recognition of
Arabic characters using genetic algorithms. In J. Harmon, editor, Interdisciplinary Computer Vision: An
Exploration of Diverse Applications: 21st Aipr Workshop, volume SPIE-1838, pages 64–75, Washington,
DC, 14.-16. October 1992. SPIE – The International Society for Optical Engineering. * P56814 CCA
64243/93 ga:Vogt92a.
[2294] Janne Koljonen, Olli Kanniainen, and Jarmo T. Alander. Dynamic template size control in digital image
correlation based strain measurements. In David P. Casasent, Ernest L. Hall, and Juha Röning, editors,
Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, volume SPIE6764, pages 67640L–1–12, Boston, MA, 9. -11. September 2007. The International Society for Optical
Engineering, Bellingham, WA. gaSPIE6764a.
[2295] Achim Liese, Daniel Polani, and Thomas Uthmann. On the development of spectral properties of visual
agent receptors through evolution. pages 857–864, 2000. ga00aALiese.
[2296] Peter Eggleston. Software imitation of natural evolution: New efficiency for machine vision. Advanced
Imaging, 15(1):28,30, January 2000. ga00aEggleston.
[2297] Faysal Boughorbal, David L. Page, and Mongi A. Abidi. Automatic reconstruction of large 3D models of
real environments from unregistered data-sets. In Brian D. Corner and Joseph H. Nurre, editors, ThreeDimensional Image Capture and Applications III, volume SPIE-3958, pages 234–243, ?, March 2000. The
International Society for Optical Engineering. * www/SPIE Web ga00aFBoughorbal.
[2298] Gustavo Olague. Design and simulation of photogrammetric networks using genetic algorithms. In Proceedings of the 2000 Meeting of the Americal Society for Photogrammetry and Remote Sensing (ASPRS
2000), volume ?, page ?, Washington, DC, 22.-26. May 2000. Americal Society for Photogrammetry and
Remote Sensing. ga00aGOlague.
[2299] J. Huang and H. Wechsler. Visual routines for eye location using learning and evolution. IEEE Transactions
on Evolutionary Computation, 4(1):73–82, April 2000. * www/IEEE ga00aJHuang.
[2300] Mu-Chen Chen. Roundness inspection strategies for machine visions using non-linear programs and
genetic algorithms. International Journal of Production Research, 38(13):2967–2988, September 2000.
ga00aM-CChen.
[2301] M. J. Callaghan, T. M. McGinnity, and L. J. McDaid. A hybrid intelligent system architecture for machine
vision applications using evolutionary algorithms. pages 59–64, 2000. ga00aMJCallaghan.
[2302] Y. Ruichek, H. Issa, and Jack-Gérard Postaire. Genetic approach for obstacle detection using linear stereo
vision. In Proceedings of the IEEE Intelligent Vehicles Symposium, volume ?, pages 261–266, Dearborn,
MI, USA, 3.-5.October 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aYRuichek.
[2303] Bo Liu, Xiao juan Wu, and Kai bao Nie. New searching algorithm for articulated hand model fitting
in gesture tracking system. In Jun Shen, Sharatchandra Pankanti, and Rusheng Wang, editors, Object
Detection, Classification, and Tracking Technologies, volume SPIE-4554, pages 211–215, ?, September
2001. The International Society for Optical Engineering. * www/SPIE Web ga01aBoLiu.
[2304] Jung-Hwan Kim and Byung-Ro Moon. Adaptive elevator group control with cameras. IEEE Transactions
on Industrial Electronics, 48(2):377–382, April 2001. ga01aJung-HwanKim.
[2305] Kenjiro Komai, K. Minoshima, and T. Suezaki. Genetic algorithms for high-precision reconstructions of
three-dimensional topographies using stereo fractographs. In Fook S. Chau and Cheggen Quan, editors,
Second International Conference on Experimental Mechanics, volume SPIE-4317, pages 494–499, ?, June
2001. The International Society for Optical Engineering. * www/SPIE Web ga01aKKomai.
[2306] Olivier Huesser and Heinz Huegli. Configuration assistant for versatile vision-based inspection systems. J.
Electronic Imaging, 10(1):308–315, January 2001. * www/SPIE Web ga01aOHuesser.
[2307] P. Cerveri, A. Pedotti, and N. A. Borghese. Combined evolution strategies for dynamic calibration of
video-based measurement systems. IEEE Transactions on Evolutionary Computation, 5(3):271–282, June
2001. ga01aPCerveri.
[2308] Panos Liatsis and John Y. Goulermas. Depth estimation via parallel coevolution of disparity functions for
area-based stereo. In Hyung S. Cho and George K. Knopf, editors, Optomechatronic Systems, volume SPIE4190, pages 169–180, ?, February 2001. The International Society for Optical Engineering. * www/SPIE
Web ga01aPLiatsis.
[2309] Christian Igel and Werner von Seelen. Design of a field model for early vision: A case study of evolutionary
algorithms in neuroscience. In 28th Göttingen Neurobiology Conference, page 1034, Göttingen (Germany),
? 2001. George Thieme Verlag. ga01bChristianIgel.
Bibliography
211
[2310] Beatriz Boada, Dolores Blanco, and Luis Moreno. Localization and modeling approach using topogeometric maps. In ?, editor, Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent
Robots and Systems, pages 484–489, Lausanne (Switzerland), 30. September-4. October 2002. IEEE. †www
/Google ga02aBBoada.
[2311] J. Ryoo and Prabhat Hajela. Genetic exchange mechanisms for co-evolution in decomposition-based design. In 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference,
Denver, CO, 22.-25. April 2002. AIAA. AIAA Paper 2003-1674 * A02-28458 ga02aJRyoo.
[2312] Minglun Gong and Yee-Hong Yang. Genetic-based stereo algorithm and disparity map evaluation. International Journal of Computer Vision, 47(1/2/3):63–78, April-June 2002. †ETL ga02aMinglunGong.
[2313] T. Chu, A. Mahajan, and C. T. Liu. An economical vision-based method to obtain whole-field deformation
profiles. Experimental Techniques, 26(6):25–28, November 2002. †www /Google ga02aTChu.
[2314] Timo Mantere and Jarmo T. Alander. Developing and testing structural light vision software by coevolutionary genetic algorithm. In The Proceedings of the Second ASERC Workshop on Quantitative and
Soft Computing based Software Engineering, pages 31–37, Banff (Canada), 18.-20. February 2002. Alberta
Software Engineering Research Consortium (ASERC). ga02aTimoMantere.
[2315] Alexandre Abellard, Moez Bouchouicha, and Mohamed Moncef Ben Khelifa. A genetic algorithm application to stereo calibration. In Proceedings 2005 IEEE International Symposium on Computational
Intelligence in Robotics and Automation (CIRA2005), page ?, Espoo (Finland), 27.-30.June 2005. IEEE,
Piscataway, NJ. ga05aAAbellard.
[2316] Martin Pelikan. Hierarchical Bayesian Optimization Algorithm: Toward a New Generation of Evolutionary
Algorithms. Springer-Verlag, Berlin, 2005. †Pelikan ga05aMPelikan.
[2317] Jorge L. Martı́nez, Javier González, Jesús Morales, Anthony Mandow, and Alfonso J. Garcı́a-Cerezo.
Mobile robot motion estimation by 2D scan matching with genetic and iterative closest point algorithms.
Journal of Field Robotics, 23(1):21–34, ? 2006. ga06aJLMartinez.
[2318] Jun Feng Dong, W. Sardha Wijesoma, and Andrew P. Shacklock. Genetic algorithmic flter approach to
mobile robot simultaneous localization and mapping. In Proceedings of the IEEE International Conference
on (ICARCV’06), volume ?, pages –, ?, ? 2006. IEEE, Piscataway, NJ. ga06aJunFengDong.
[2319] Momotaz Begum, George K. I. Mann, and Raymond G. Gosine. An evolutionary SLAM algorithm for
mobile robots. In Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots
and Systems, volume ?, pages 4066–4071, Beijing (China), 9.-15. October 2006. IEEE, Piscataway, NJ.
ga06aMBegum.
[2320] Maohai Li, Bingrong Hong, Zesu Cai, and Ronghua Luo. Novel Rao-Blackwellized particle filter for
mobile robot SLAM using monocular vision. International Journal of Intelligent Systems and Technologies,
1(1):63–69, Winter 2006. ga06aMaohaiLi.
[2321] Mei yi Li and Zi xing Cai. Immune evolutionary algorithms with domain knowledge for simultaneous localization and mapping. J. Cent. South Univ. Technol., 13(5):?, October 2006. * Springer ga06aMei-yiLi.
[2322] N. M. Kwok, D. K. Liu, and G. Dissanayake. Evolutionary computing based mobile robot localization.
Engineering Applications of Artificial Intelligence, 19(8):857–868, December 2006. ga06aNMKwok.
[2323] N. M. Kwok and A. B. Rad. A modified particle filter for simultaneous localization and mapping. Journal
of Intelligent Robot Systems, 46(?):365–382, ? 2006. ga06bNMKwok.
[2324] Jun Feng Dong, W. Sardha Wijesoma, and Andrew P. Shacklock. An effcient RAo-Blackwellized genetic algorithm filter for SLAM. In Proceedings of the 2007 IEEE International Conference on Robotics
and Automation, volume ?, pages 2427–2432, Roma (Italy), 10.-14. April 2007. IEEE, Piscataway, NJ.
ga07aJunFengDong.
[2325] Momotaz Begum, George K. I. Mann, and Raymond G. Gosine. Integrated fuzzy logic and genetic algorithm approach for simultaneous localization and mapping of mobile robots. Applied Soft Computing,
8(?):150–165, ? 2008. ga08aMBegum.
[2326] Craig A. Farrell, Dorota H. Kieronska, and Mike Schulze. Genetic algorithms for network division problem.
In ICEC’94 [2405], pages 422–427. ga94aFarrell.
[2327] Wen-Ruey Hwang and Wiley E. Thompson. Methodology for designing an optimum fuzzy tracker using
genetic algorithms. In Ivan Kadar and Vibeke Libby, editors, Signal Processing, Sensor Fusion, and Target
Recognition III, volume SPIE-2232, pages 97–104, ?, June 1994. The International Society for Optical
Engineering. * www/SPIE Web ga94aW-RHwang.
212
[2328] S. Taraglio and A. Zanela. Cellular neural networks: a genetic algorithm for parameters optimization in
artificial vision applications. In Proceedings of the 1996 Fourth IEEE International Workshop on Cellular
Neural Networks and their Applications, pages 315–320, Seville, Spain, 24.-26. June 1996. IEEE, New York,
NY. †CCA28586/97 ga96aTaraglio.
[2329] C. C. Yang and F. W. Ciarallo. Minimizing the probabilistic magnitude of active vision errors using genetic
algorithm. In Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics,
volume 3, pages 2713–2718, Orlando, FL, 12.-15. October 1997. IEEE, New York, NY. †CCA103441/97
ga97aCCYang.
[2330] I. Servet, L. Trave-Massuyes, and D. Stern. Evolutionary computation techniques for traffic supervision
based on a model of telephone networks built from qualitative knowledge. Stud. Inf. Control (Romania),
6(1):65–74, 1997. †CCA37163/97 ga97aIServet.
[2331] Jeffrey S. Sanders. Ultrawide-field-of-view imaging optical system designs based on arthropod vision
systems. In Michael K. Masten and Larry A. Stockum, editors, Acquisition, Tracking, and Pointing XI,
volume SPIE-3086, pages 359–366, ?, June 1997. The International Society for Optical Engineering. *
www/SPIE Web ga97aJSSanders.
[2332] Jianjun Shen, Dan Tu, and Zhenkang Shen. Complex motion measurement using genetic algorithm.
In Donald R. Snyder, Andrew Davidhazy, Takeharu Etoh, C. Bruce Johnson, and James S. Walton,
editors, Ultrahigh- and High-Speed Photography and Image-based Motion Measurement, volume SPIE-3173,
pages 322–329, ?, December 1997. The International Society for Optical Engineering. * www/SPIE Web
ga97aJShen.
[2333] Jen-Ming Chen. A genetic-based vision system for cross-functional integration in flexible manufacturing:
a tutorial and application. Int. J. Flexible Manuf.Syst. (Netherlands), 9(4):343–365, 1997. †CCA33119/98
ga97aJen-Chen.
[2334] Mamoru Minami, Toshiyuki Asakura, Julien Agbanhan, and Yuji Aoyagi. GA-pattern matching based
manipulator control for real-time visual tracking. In Proceedings of the 36th SICE Annual Conference,
pages 1131–1136, Tokushima, Japan, 29.-31. July 1997. Soc. Instrum & Control Eng. 1997, Tokyo, Japan.
†CCA86799/98 ga97aMMinami.
[2335] P. Ziemeck and Helge Ritter. Evolving low-level vision capabilities with the GENCODER genetic programming environment. In George D. Smith and Nigel C. Steele, editors, Proceedings of the International
Conference on Artificial Neural Networks and Genetic Algorithms, pages 78–82, Norwich, UK, 2.-4. April
1997. Springer-Verlag, Berlin. ga97aZiemeck.
[2336] I. Servet, L. Trave-Massuyes, and D. Stern. Evolutionary computation techniques for telephone networks
traffic supervision based on a qualitative stream propagation model. In George D. Smith and Nigel C.
Algorithms, pages 294–298, Norwich, UK, 2.-4. April 1997. Springer-Verlag, Berlin. ga97bIServet.
[2337] K. Nagasaka, A. Konno, M. Inaba, and H. Inoue. Aquisition of visually guided swing motion based on
genetic algorithms and neural networks in two-armed bipedal robot. In Proceedings of the 1997 IEEE
International Conference on Robotics and Automation, volume 4, pages 2944–2949, Albuquerque, NM,
20.-25. April 1997. IEEE, New York, NY. †CCA81807/97 ga97bNagasaka.
[2338] Shigeyoshi Tsutsui, Yoshiji Fujimoto, and Ashish Ghosh. Forking genetic algorithms: GAs with search
space division schemes. Evolutionary Computation, 5(1):61–80, 1997. †BA99760 ga97eTsutsui.
[2339] Amitabha Mukerjee, Sanjay Sharma, and Ram Bhushan Agrawal. When is an obstacle a perfect obstacle?
IEEE Transactions on Robotics and Automation, 14(3):497–503, June 1998. ga98aAMukerjee.
[2340] Futoshi Kobayashi, Toshio Fukuda, Koji Shimojima, and Teruhiko Takusagawa. Shape reconstruction
system integrating stereo vision and shape from shading with evolutionary programming. Journal of
Electronic Imaging, 7(1):8–15, January 1998. * www/SPIE Web ga98aFKobayashi.
[2341] Juwan Kim, Haedong Kim, Byungtae Jang, and Donghyun Kim. Positioning and attitude calibration
method of a CCD camera using the genetic algorithm. In Michael K. Masten and Larry A. Stockum,
editors, Acquisition, Tracking, and Pointing XII, volume SPIE-3365, pages 329–336, ?, July 1998. The
International Society for Optical Engineering. * www/SPIE Web ga98aJuwanKim.
[2342] Li Chen, Frank T. Berkey, Donald H. Cooley, Yexian He, Jianping Zhang, and Lan Zhang. Intelligent curve
tracking algorithms and implementations. In Firooz A. Sadjadi, editor, Automatic Target Recognition VIII,
volume SPIE-3371, pages 74–82, ?, September 1998. The International Society for Optical Engineering. *
www/SPIE Web ga98aLChen.
Bibliography
213
[2343] Nicolaos A. Mouravliansky, George K. Matsopoulos, Konstantinos K. Delibasis, and Konstantina S. Nikita.
Automatic retinal registration using global optimization techniques. In Proceedings of the 20th Annual
International Conference of the IEEE Engineering in Medicine and Biology Society, volume 2, pages 567–
570, Hong Kong (China), 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ. ga98aMouravliansky.
[2344] Shigeyoshi Tsutsui and Ashish Ghosh. Search space division in GAs using phenotypic properties. Journal
of Information Sciences, 109(1-4):119–133, 1998. ga98aSTsutsui.
[2345] Guiseppe Castagnoli and Dalida Monti. A diakoptic approach to quantum computation. In Colin P.
Williams, editor, Quantum Computing and Quantum Communications, QCQC’98, First NASA International Conference, volume 1509 of Lecture Notes in Computer Science, pages 189–199, Palm Springs, CA,
February 1998 1999. Springer-Verlag, Berlin. ga99aGCastagnoli.
[2346] Kyu-Phil Han, Tae-Min Bae, Eui-Yoon Chung, Hee-Soo Kim, and Yeong-Ho Ha. Stereo matching using
genetic algorithm and region information. J. Inst. Electr. Eng., Kyungpook Nat. Univ., Taegu, South
Korea, 36-S(3):97–105, 1999. In Korean †CCA72326/99 ga99aKyu-PhilHan.
[2347] Martin C. Martin. Breaking out of the black box: a new approach to robot perception. In Howie M.
Choset, Douglas W. Gage, Pushkin Kachroo, Mikhail A. Kourjanski, and Marten J. de Vries, editors,
Mobile Robots XIII and Intelligent Transportation Systems, volume SPIE-3525, pages 126–137, ?, January
1999. The International Society for Optical Engineering. * www/SPIE Web ga99aMCMartin.
[2348] Mamoru Minami, Julien Agbanhan, H. Murata, Toshiyuki Asakura, and Yuji Aoyagi. A proposal of new
visual servoing method with gray-scale image and GA-tracking experiments to swimming fish. Memoirs of the Faculty of Engineering, Fukui University, 47(1):105–122, 1999. In Japanese †CCA63038/99
ga99bMMinami.
[2349] G. Distefano, M. Capozza, and N. Accornero. Neural networks trained by a genetic algorithm for visualfield diagnosis. In J. P. Morucci, R. Plonsey, J. L. Coatriex, and S. Laxminarayan, editors, Proceedings
of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 14, pages 1028–1029, Paris, France, 29. October - 1. November 1992. IEEE, New York. †P57332
ga:Accornero92a.
[2350] Christine L. Valenzuela and Antonia J. Jones. Evolutionary divide and conquer (I): A novel genetic approach to the TSP. Evolutionary Computation, 1(4):313–333, Fall 1993. * News /Schlapfer
ga:CLValenzuela93a.
[2351] Jerzy W. Bala, Kenneth A. De Jong, and Peter W. Pachowicz. Integrated inductive learning and and
genetic algorithms for texture recognition. In Proceedings of the 10th International Conference on Machine
Learning, page ?, Aberdeen, Scotland, July 1992. ga:DeJong92a.
[2352] David T. Cliff, Inman Harvey, and Philip Husbands. General visual robot controller networks via artificial evolution. Technical Report Report CSRP318, University of Sussex, School of Cognitive and Computing Science, 1993. (also as [2281]; available via anonymous ftp site ftp.cogs.susx.ac.uk directory
/pub/reports/csrp file csrp318.ps.Z) ga:Harvey93ka.
[2353] Gerhard Roth and Martin D. Levine. A genetic algorithm for primitive extraction. In Belew and Booker
[2421], pages 487–494. ga:Roth91.
[2354] Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, and Taisuke Sato. Evolutionary learning strategy using
bug-based search. In IJCAI-93 Proceedings of the Thirteenth International Joint Conference on Artificial
Intelligence, volume 2, pages 960–966, Chambéry (France), 28. August - 3. September 1993. Morgan
Kaufmann Publishers, Inc., San Mateo, CA. ga:deGaris93i.
[2355] C. J. P. M. Harmans. Spectroscopy of a superconduction vortex qubit: experimental results. In Program
and Abstract, 18th General Conference of the Condensed Matter Division of the European Physical Society,
page 333, Montreaux (France), 13.-17. March 2000. European Physical Society. ga00aCJPMHarmans.
[2356] D. Loss. Quantum computing and spintronics. In Program and Abstract, 18th General Conference of the
Condensed Matter Division of the European Physical Society, page 333, Montreaux (France), 13.-17. March
2000. European Physical Society. ga00aDLoss.
[2357] M. V. Feigel’man, L. B. Ioffe, V. B. Geshkenbein, and G. Blatter. Andreev spectroscopy for superconductive
phase qubits. In Program and Abstract, 18th General Conference of the Condensed Matter Division of the
European Physical Society, page 333, Montreaux (France), 13.-17. March 2000. European Physical Society.
ga00aMVFeigelman.
[2358] Prashant Valanju, William Miner, Art Brooks, Neil Pomphrey, Steven Hirshman, and Lee Berry. New
ideas and tools for designing optimized stellarator coils. In ?, editor, American Physical Society, 42nd
214
Annual Meeting of the APS Division of Plasma Physics combined with the 10th International Congress
on Plasma Physics, volume ?, page ?, Québec City (Canada), 23.-27. October 2000. American Physical
Society. †NASA ADS ga00aPValanju.
[2359] Saied Abedi and Rahim Tafazolli. Genetic multiuser receiver for code division multiple access communications. Electronics Letters, 36(23):1957–1958, 9. November 2000. ga00aSAbedi.
[2360] Stephen C. Ottner. Optimising television commercial air-time by means of a genetic algorithm. page 761,
2000. ga00aSCOttner.
[2361] S. Woo and A. Dipanda. Matching lines and points in an active stereo vision system using genetic algorithms. In ?, editor, Proceedings of the 2000 International Conference on Image Processing, volume 3,
pages 332–335, ?, 10.-13. September 2000. IEEE. ga00aSWoo.
[2362] B. T. Perry, C. M. Coleman, B. F. Basch, E. J. Rothwell, and J. E. Ross. Self-structuring antenna
for television reception. In 2001 IEEE International Symposium on Antennas and Propagation Society,
volume 1, pages 162–165, Boston, MA, USA, 8.-13. July 2001. IEEE, Piscataway, NJ. ga01aBTPerry.
[2363] Evelina Lamma, Luı́s Moniz Pereira, and Fabrizio Riguzzi. Belief revision by Lamarckian evolution. In
Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart,
Günther R. Raidl, and Harald Tijink, editors, Applications of Evolutionary Computing, EvoWorkshops
2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, volume LNCS of 2037, pages 404–413,
Como (Italy), 18.-20. April 2001. Springer-Verlag Berlin Heidelberg. * www /Springer ga01aELamma.
[2364] Mohamed Moustafa, Ibrahim Habib, and Mahmoud Naghshineh. GAME based QoS provisioning in multimedia wideband CDMA networks. In L. Wolf, D. Hutchinson, and R. Steinmetz, editors, Quality of Service
- IWQoS 2001, 9th International Workshop, volume LNCS of 2092, pages 235–250, Karlsruhe (Germany),
6.-8. June 2001. Springer-Verlag Berlin Heidelberg. * www /Springer ga01aMMoustafa.
[2365] Jean Louchet. Using an individual evolution strategy for stereovision. Genetic Programming and Evolvable
Machines, 2(2):111–122, June 2001. †www /Banzhaf ga01aSGCarbajal.
[2366] Tianliang Yang, J. M. McDonough, and J. D. Jacob. ”Poor Man’s Navier-Stokes Equation” model of
velocity components in backward-facing step and turbulator flows. In ?, editor, American Physical Society,
54th Annual Meeting of the Division of Fluid Dynamics, volume ?, page ?, San Diego, CA, 18.-20. November
2001. ? †NASA ADS ga01aTYang.
[2367] Yuji Suzuki, Ken-Ichi Morimoto, Kaoru Iwamoto, and Nobuhide Kasagi. Feedback control of wall turbulence based on the streamwise wall shear stress. In ?, editor, American Physical Society, 54th Annual
Meeting of the Division of Fluid Dynamics, volume ?, page ?, San Diego, CA, 18.-20. November 2001. ?
†NASA ADS ga01aYSuzuki.
[2368] Yuichi Kanayama, Kiyohiro Omori, Hisashi Tamaki, and Shinzo Kitamura. Parallel genetic algorithm
with sexual selection using adaptive division of subpopulations. In ?, editor, Proceedings of the Annual
Conference of the Institute of Systems, Control and Information Engineers, volume 46, pages 461–462, ?, ?
2002. Institute of Systems, Control and Information Engineers. * www /Google ga02aYuichiKanayama.
[2369] Daniel Mange, André Stauffer, Gianluca Tempesti, Fabien Vannel, and André Badertscher. Ch. 5. bioinspired computing machines with artificial division and differentiation. In Higuchi et al. [2459], pages
85–98. ga06aDanielMange.
[2370] David Mott, Keith Obenschain, Peter Howell, and Joel Golden. Design of optimal microfluidic components
using a genetic algorithm search. In ?, editor, Proceedings of the 60th Annual Meeting of the Division of
Fluid Dynamics, volume ?, page ?, Salt Lake City, UT, 18.-20. November 2007. APS. †Google /toc
ga07aDavidMott.
[2371] ?, editor. IEE Computing and Control Division Colloquium on ’Applications of Genetic Algorithms’,
volume Digest No. 1994/067, London, 15. March 1993. IEE, London. †CCA 51336/94 EI M151564/94
ga94IEE067.
[2372] V. Gorrini and Marco Dorigo.
Une application des algorithmes évolutifs à un problème
d’approvisionnement. In ?, editor, Evolution Artificielle94 [The First French Conference on Evolutionary Computation], page ?, Toulouse (France), 19.-23. September 1994. Springer-Verlag, Berlin. †Bersini
ga94aGorrini.
[2373] S. Lloyd. Envisioning a quantum supercomputer.
ga94aSLloyd.
Science, 263(?):695, February 1994.
†[2456]
[2374] Hanno Sander. Evolution of communication and division of labor via genetic programming. In Koza [2408],
page ? †Koza ga95aSander.
Bibliography
215
[2375] Shinichiro Yoshii, Keiji Suzuki, and Yukinori Kakazu. Lamarckian GA with genetic supervision. In ICEC’95
[2411], pages 367–372. †prog. ga95aYoshii.
[2376] A. Ishikawa, M. Morikawa, M. Kishi, H. Kutsuyama, H. Kawata, and K. Tsukamoto. An application
of genetic algorithms to production scheduling considering the division of orders. Transactions of the
Institute of Electrical Engineers of Japan C, 115-C(11):1338–1344, 1995. (In Japanese) †CCA27354/96
ga95bIshikawa.
[2377] Samual Pullen, Per Enge, and Bradford Parkinson. Global optimization of GPS augmentation architectures
using genetic algorithms. In Proceedings of the 8th International Technical Meeting of the Satellite Division
of the Institute of Navigation, pages 1403–1415, Palm Springs, CA, 12.-15. September 1995. Institute of
Navigation, Alexandria, VA. †A96-15156 ga95bPullen.
[2378] Zuofa Li. Efficient ambiguity search using genetic algorithms. In Proceedings of the 8th international
Technical Meeting of the Satellite Division of the Institute of Navigation, pages 331–337, Palm Springs,
CA, 12.-15. September 1995. Institute of Navigation, Alexandria, VA. †A96-15054 ga95bZLi.
[2379] A. H. Jones and P. B. De Moura Oliveira. A co-evolutionary approach to the genetic design of PID
controllers to deal with prescribed plant uncertainties. In Proceedings of the Symposium on Control,
Optimization and Supervision, volume 1, pages 564–568, Lille, France, 9.-12. July 1996. Gerf EC Lille Cite Scientifique, Lille, France. †CCA46091/97 ga96aAHJones.
[2380] J. LeFevre. Pareto optimisation of the control of a cardiac assist device using multicriteria, rank and nichebased genetic algorithms hybridised with breeding and gradient methods. In Proceedings of the Symposium
on Control, Optimization and Supervision, volume 2, pages 1141–1145, Lille, France, 9.-12. July 1996. Gerf
EC Lille - Cite Scientifique, Lille, France. †CCA47394/97 ga96aLeFevre.
[2381] R. MacDonald, C. Irgens, and B. Lees. The provision of concurrent engineering design support through the
use of captured, simulated experiences. In Parmee and Denham [2430], page ? †conf.prog ga96aMacDonald.
[2382] Yuto Mizukami, Hirokazu Matsushita, Yoshimaro Hanaki, and Noboru Ohnishi. Planning of simultaneous
machining sequence for tuning by considering division of machining areas - generation of effective combinations for simultaneous machining. Seimitsu Kogaku Kaishi, 62(6):820–824, 1996. †EI M152308/96
ga96aMizukami.
[2383] P. Sen and R. Subramani. Ship subdivision using genetic algorithms. In Parmee and Denham [2430],
page ? †conf.prog ga96aSen.
[2384] A. A. Sevenster and A. P. Engelbrecht. GARTNet: a genetic algorithm for routing in telecommunications
networks. In Proceedings of the Symposium on Control, Optimization and Supervision, volume 2, pages
1106–1111, Lille, France, 9.-12. July 1996. Gerf. EC Lille - Cite Scientifique, Lille, France. †EEA57762/97
ga96aSevenste.
[2385] James Bowen and Gerry V. Dozier. Constraint satisfaction using a hybrid evolutionary hill-climbing algorithm that performs opportunistic arc and path revision. In ?, editor, Proceedings of the Thirteenth
National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference, volume 1, pages 326–331, Portland, OR, 4.-8. August 1996. MIT Press, Cambridge,
MA. * CCA 53606/97 ga96bBowen.
[2386] H. S. Ko, Donald P. Lyons, and Ken D. Kihm. Comparative study of algebraic reconstruction technique
(ART) and genetic algorithms (GA) for beam deflection tomography. In Proceedings of the 1997 ASME
Fluids Engineering Division Summer Meeting, volume 13, page ?, Vancouver, BC (Canada), 22.-26. June
1997. ASME, New York, NY. †EI M176323/97 ga97aHSKo.
[2387] J. Sheng, R. Elavasaran, and H. Meng. Development of a low cost automatic holographic PIV system
using in-line recording off-axis viewing (IROV) with artificial intelligence (AI) data processing. In ?,
editor, American Physical Society, Division of Fluid Dynamics Meeting, volume ?, page ?, San Francisco,
CA, 23.-25. November 1997. American Physical Society. †NASA ADS ga97aJSheng.
[2388] M. C. Sharatchandra, M. Sen, and M. Gad-El-Hak. Constrained shape optimization using genetic algorithms. In ?, editor, American Physical Society, Division of Fluid Dynamics Meeting, volume ?, page ?, San
Francisco, CA, 23.-25. November 1997. American Physical Society. †NASA ADS ga97aMCSharatchandra.
[2389] M. Markaki, A. Vasilakos, and I. Kassotakis. A hybrid genetic algorithm for the provision of isochronous
service in high speed networks. In Proceedings of 1997 IEEE International Conference on Evolutionary
Computation, pages 133–137, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †EEA57920/97
ga97aMarkaki.
216
[2390] Wei Lin, R. N. Bernard, G. M. Janes, and K. W. Farrell. Automated television scheduling via evolving
agents. In Proceedings of IEEE International Conference on Evolutionary Computation, pages 691–696,
Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA52164/97 ga97aWeiLin.
[2391] F. D. S. Cardoso and L. M. M. Custodio. Supervision of fuzzy controllers using genetic algorithms. In
Proceedings of the 1998 IEEE International Conference on Fuzzy Systems, volume 2, pages 1241–1264,
Anchorage, AK, 4.-9. May 1998. IEEE, New York, NY. †CCA85943/98 ga98aCardoso.
[2392] David Parekh, Petros D. Koumoutsakos, Jon Freund, and Tom Bewley. Optimization of jet control parameters via genetic algorithms. In ?, editor, American Physical Society, Division of Fluid Dynamics Meeting,
volume ?, page ?, Philadelphia, PA, 22.-24. November 1998. American Physical Society. †NASA ADS
ga98aDParekh.
[2393] Laurence D. Merkle and John W. Luginsland. Feasibility of relativistic klystron oscillator design optimization using a real-valued evolutionary algorithm. In ?, editor, American Physical Society, Division of
Plasma Physics Meeting, volume ?, page ?, New Orleans, LA, 16.-20. November 1998. American Physical
Society. †NASA ADS ga98aLDMerkle.
[2394] F. D. S. Cardoso, L. M. M. Custodio, and C. A. Pintoferreira. Supervision of fuzzy controllers using
genetic algorithms. In Proceedings of the 1998 IEEE International Conference on Fuzzy Systems at the
IEEE World Congress on Computational Intelligence, pages 1241–1246, Anchorage, AK, 4.-9. May 1998.
IEEE, New York, NY. †P80940 ga98bCardoso.
[2395] C. P. Ravikumar, Meeta Sharma, and Prachi Jain. Design of wavelength division multiplexed networks
for delay-bound multicasting. In ?, editor, Proceedings of HIPC 1999 Conference, page ?, ?, ? 1999. ?
(available via www URL: www.hipc.org/hipc99/papers/paper57.ps.gz) ga99aCPRavikumar.
[2396] Dan Sadot, Uri Mahlab, and V. Bar Natan. New method for developing optical code division multiplexed access sequences using genetic algorithm. Optical Engineering, 38(1):151–156, January 1999.
ga99aDanSadot.
[2397] P. E. Howland. Target tracking using television-based bistatic radar. IEE Proceedings - Radar, Sonar and
Navigation, 146(3):166–174, June 1999. ga99aPEHowland.
[2398] P. M. Valanju Miner, Jr., S. P. Hirsman, A. Brooks, and N. Pomphrey. Advances in low aspect ratio
stellarator coil design. In ?, editor, American Physical Society, 41st Annual Meeting of the Division of
Plasma Physics, volume ?, page ?, Seattle, WA, 15.-19. November 1999. American Physical Society. †NASA
ADS ga99aPMValanjuMiner.
[2399] P. M. Valanju Miner, Jr., S. P. Hirsman, A. Brooks, and N. Pomphrey. Using the genetic algorithm to
find coils for compact stellarators. In ?, editor, American Physical Society, 41st Annual Meeting of the
Division of Plasma Physics, volume ?, page ?, Seattle, WA, 15.-19. November 1999. American Physical
Society. †NASA ADS ga99bPMValanjuMiner.
[2400] Craig W. Reynolds. An evolved vision-based behavioral model of coordinated group motion. In H. Roitblat,
Jean-Arcady Meyer, and Stewart W. Wilson, editors, From Animals to Animats, Proceedings of the Second
International Conference on Simulation of Adaptive Behavior (SAB92), pages 384–392, Honolulu, HI, 7.11. December 1993. The MIT Press, Cambridge, MA. ga:CWReynolds93a.
[2401] Robert Hong. Neurocontrols and vision for Mars robots. Advanced Technology for Developers, 1(2):1–,
June 1992. †Advanced ... index ga:RHong92a.
[2402] Anthony Richard Burton. A hybrid neuro-genetic pattern evolution system applied to musical composition. PhD thesis, University of Surrey, School of Electronic Engineering, 1998. (available via www URL:
http://www.ee.surrey.ac.uk/Personal/A.Burton/work.html) ga98aARBurton.
[2403] D. J. Berndt and A. Watkins. High volume software testing using genetic algorithms. In ?, editor,
Proceedings of the 38th Hawaii International Conference on System Sciences, volume ?, page ?, Hawaii,
January 2005. ? ga05aDJBerndt.
[2404] Proceedings of ICCI94/Fuzzy Systems, Orlando, FL, 26. June - 2. July 1994. IEEE, New York, NY.
ga94ICCIFuzzy.
†
[2405] Proceedings of the First IEEE Conference on Evolutionary Computation, Orlando, FL, 27.-29. June 1994.
IEEE, New York, NY. ga94ICCIEC.
[2406] Kenneth E. Kinnear, Jr., editor. Advances in Genetic Programming. MIT Press, Cambridge, MA, 1994.
†cessu ga94AGP.
[2407] A. V. Sebald and Lawrence J. Fogel, editors. Proceedings of the Fourth Annual Conference on Evolutionary
Programming (EP94), San Diego, CA, 24.-26. February 1994. World Scientific, Singapore. †Fogel ga94EP.
Bibliography
217
[2408] John R. Koza, editor. Genetic Algorithms at Stanford 1995, Stanford, CA, 1995. Stanford Bookstore.
†Koza ga95Stanford.
[2409] D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors. Artificial Neural Nets and Genetic Algorithms,
Alès (France), 19.-21. April 1995. Springer-Verlag, Wien New York. ga95ICANNGA.
[2410] J. R. McDonnell, R. G. Reynolds, and David B. Fogel, editors. Evolutionary Programming IV: Proceedings
of the Fourth Annual Conference on Evolutionary Programming (EP95), San Diego, CA, 1.-3. March 1995.
MIT Press. †Fogel ga95EP.
[2411] Proceedings of the Second IEEE Conference on Evolutionary Computation, Perth (Australia), November
1995. IEEE, New York, NY. ga95ICEC.
[2412] John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors. Proceedings of the GP-96
Conference, Stanford, CA, 28.-31. July 1996. MIT Press, Cambridge, MA. †prog ga96GP.
[2413] Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, and Hans-Paul Schwefel, editors. Parallel Problem
Solving from Nature – PPSN IV, volume 1141 of Lecture Notes in Computer Science, Berlin (Germany),
22.-26. September 1996. Springer-Verlag, Berlin. ga96PPSN4.
[2414] Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, and Walter F. Good. Computer-assisted diagnosis of
breast cancer using artificial neural networks: Comparison of backpropagation and genetic algorithm. In
Proceedings of the 1999 International Joint Conference on Neural Networks (IJCNN’99), volume 5, pages
3674–3679, ?, ? 1999. IEEE, Piscataway, NJ. ga99aYuan-HsiangChang.
[2415] Jarmo T. Alander, editor. Proceedings of the Third Nordic Workshop on Genetic Algorithms and their
Applications (3NWGA), Helsinki (Finland), 18.-22. August 1997. Finnish Artificial Intelligence Society
(FAIS). (available via anonymous ftp site ftp.uwasa.fi directory cs/3NWGA file *.ps.Z) ga97NWGA.
[2416] John R. Koza, Kalyanmoy Deb, Marco Dorico, David B. Fogel, Max Garson, Hitoshi Iba, and Rick L.
Riolo, editors. Genetic Programming 1997: Proceedings of the Second Annual Conference, Stanford, CA,
13.-16. July 1997. Morgan Kaufmann, San Francisco, CA. †prog ga97GP.
[2417] Witold Pedrycz, editor. Fuzzy Evolutionary Computation. Kluwer Academic Publishers, New York, 1997.
ga97aPedrycz.
[2418] Pavel Ošmera, editor. Proceedings of the 4th International Mendel Conference on Genetic Algorithms,
Optimization problems, Fuzzy Logic, Neural networks, Rough Sets (MENDEL’98), Brno (Czech Republic),
24.-26. June 1998. Technical University of Brno. ga98Brno.
[2419] Jorma Laurikkala. Knowledge Discovery for Female Urinary Incontinence Expert Systems. PhD thesis,
University of Tampere, Department of Computer and Information Sciences, 2001. ga01aJormaLaurikkala.
[2420] R. F. Albrecht, C. R. Reeves, and N. C. Steele, editors. Artificial Neural Nets and Genetic Algorithms,
Innsbruck, Austria, 13. -16. April 1993. Springer-Verlag, Wien. ga:ANNGA93.
[2421] Richard K. Belew and Lashon B. Booker, editors. Proceedings of the Fourth International Conference on
Genetic Algorithms, San Diego, 13.-16. July 1991. Morgan Kaufmann Publishers. ga:GA4.
[2422] Stephanie Forrest, editor. Proceedings of the Fifth International Conference on Genetic Algorithms,
Urbana-Champaign, IL, 17.-21. July 1993. Morgan Kaufmann, San Mateo, CA. ga:GA5.
[2423] S. B. Thrun, J. Bala, E. Bloedorn, I. Bratko, B. Cestnik, J Cheng, K. De Jong, S. Dzeroski, D. Fisher, S. E.
Fahlman, R. Hamann, K. Kaufman, S. Keller, I. Kononenko, J. Kreuziger, R. S. Michalski, T. Michell,
P. Pachowicz, Y. Reich, H. Vafaie, W. Van de Welde, W. Wenzel, J. Wnek, and J. Zhang. The MONK’s
problems – a performance comparison of different learning algorithms. Technical Report CMU-CS-91-197,
Carnegie Mellon University, School of Computer Science, 1991. ga:JZang91a.
[2424] Tanja Dabs and Jochen Schoof. A graphical user interface for genetic algorithms. Report 98, Universität
Würzburg, Institut für Informatik, 1995. ga95aDabs.
[2425] Proceedings of ICCI94/Neural Networks, Orlando, FL, 26. June - 2. July 1994. IEEE, New York, NY. †
ga94ICCINN.
[2426] John R. Koza, editor. Genetic Algorithms at Stanford 1994, Stanford, CA, Fall 1994. Stanford Bookstore.
†Koza ga94Stanford.
[2427] Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Sheffield (UK), 12.-14. September 1995. IEEE.
†conf. prog.
ga95Sheffield.
[2428] The Korea Science Engineering Foundation, The Australian Academy of Science, The Australian Academy
of Technological Sciences and Engineering. Proceedings of the 1st Korea - Australia Joint Workshop on Evolutionary Computation, Taejon (Korea), 26.-29. September 1995. KAIST, Korea. ga95Korea-Australia.
218
[2429] Tatyana Kalganova, Evgeny Kochergov, Elena Zaitseva, and Svetlana Yanushkevich. A genetic approach
to optimise polynomial forms of incompletely specified MVL functions. In Fogarty? [2432], pages 89–102.
ga96aKalganova.
[2430] Ian Parmee and M. J. Denham, editors. Adaptive Computing in Engineering Design and Control ’96
(ACEDC’96), 2nd International Conference of the Integration of Genetic Algorithms and Neural Network
Computing and Related Adaptive Techniques with Current Engineering Practice, Plymouth (UK), 26.28. March 1996. ? (to appear) †conf.prog. ga96Plymouth.
[2431] ?, editor. Proceedings of the Third Online Workshop on Soft Computing, Nagoya (Japan), August 1996. ?
(to appear) †News ga96WEC3.
[2432] Terence C. Fogarty?, editor. Evolutionary Computing, Proceedings of the AISB96 Workshop, Brighton,
UK, 1.-2. April 1996. Springer-Verlag, Berlin (Germany). †ssq ga96AISB.
[2433] Michael Blumenstein, editor. Proceedings of the International Conference on Computational Intelligence
and Multimedia Applications, Gold Coast, QUE, Australia, February 1997. Watson Ferguson & Company
(Griffith University). †toc /Blumenstein ga97ICCIMA.
[2434] Pavel Ošmera, editor. Proceedings of the 3rd International Mendel Conference on Genetic Algorithms,
Optimization problems, Fuzzy Logic, Neural networks, Rough Sets (MENDEL’97), Brno (Czech Republic),
25.-27. June 1997. Technical University of Brno. ga97Brno.
[2435] David B. Fogel and W. Atmar, editors. Proceedings of the 2nd Annual Conference on Evolutionary Programming, La Jolla, CA, 25.-26. February 1993. Evolutionary Programming Society, San Diego. † ga:EP93.
[2436] Louis A. Tamburino, Michael A. Zmuda, and Mateen M. Rizki. Generating pattern-recognition systems
using evolutionary learning. IEEE Expert, 10(3):63–68, June 1995. ga95aTamburino.
[2437] IJCNN’93-NAGOYA Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya
(Japan), 25.-29. October 1993. IEEE. ga:IJCNN93.
[2438] John J. Grefenstette, editor. Proceedings of the First International Conference on Genetic Algorithms and
Their Applications, Pittsburgh, PA, 24. - 26. July 1985. Lawrence Erlbaum Associates: Hillsdale, New
Jersey. ga:GA1.
[2439] Melanie Mitchell, James P. Crutchfield, and Peter T. Hraber. Evolving cellular automata to perform computations: Mechanisms and impediments. Technical Report Working Paper 93-11-071, Santa Fe Institute,
1993. (to appear in Physica D; available via anonymous ftp site ftp.santafe.edu directory /pub/Users/mm
file sfi-93-11-071.part1.ps.Z and sfi-93-11-071.part2.ps.Z) ga:MMitchell93b.
[2440] John H. Holland.
ga:Holland92book.
Adaptation in Natural and Artificial Systems.
MIT Press, Cambridge, 1992.
[2441] J. David Schaffer, editor. Proceedings of the Third International Conference on Genetic Algorithms, Georg
Mason University, 4.-7. June 1989. Morgan Kaufmann Publishers, Inc. ga:GA3.
[2442] Jarmo T. Alander, editor. Proceedings of the Second Finnish Workshop on Genetic Algorithms and their
Applications, volume Report Series 94-2, Vaasa (Finland), 16.-18. March 1994. University of Vaasa, Department of Information Technology and Industrial Economics. (available via anonymous ftp site ftp.uwasa.fi
directory cs/report94-1 file *.ps.Z) GA:GArapo94.
[2443] Jarmo T. Alander, editor. Proceedings of the First Nordic Workshop on Genetic Algorithms and their
Applications (1NWGA), Proceedings of the University of Vaasa, Nro. 2, Vaasa (Finland), 9.-12. January
1995. University of Vaasa. (available via anonymous ftp site ftp.uwasa.fi directory cs/1NWGA file *.ps.Z)
ga95NWGA.
[2444] Horst Greiner. Robust optical coating design with evolutionary strategies. Applied Optics, 35(28):5477–
5483, 1. October 1996. ga96aHGreiner.
[2445] André Neubauer. A comparative study of evolutionary algorithms for on-line parameter tracking. In Voigt
et al. [2413], pages 624–633. ga96aNeubauer.
[2446] Bor-Sen Chen, Yu-Min Cheng, and Ching-Hsiang Lee. A genetic approach to mixed H2 /Hinf optimal PID
control. IEEE Control Systems, 15(5):51–60, October 1995. ga95aB-SChen.
[2447] K. C. Tan, T. H. Lee, and E. F. Khor. Evolutionary algorithms with dynamic population size and local
exploration for multiobjective optimization. IEEE Transactions on Evolutionary Computation, 5(6):565–
588, December 2001. ga01aKCTan.
[2448] Daniel S. Weile and Eric Michielssen. Genetic algorithm optimization applied to electromagnetics - a review.
IEEE Transactions on Antennas and Propagation, 45(3):343–353, March 1997. (89 refs) ga97aWeile.
University of Vaasa, Finland
219
[2449] Stuart J. Clement, Jonathan Halliday, and Robert E. Smith. Practical handbook of genetic algorithms.
In Chambers [2458], chapter 11. Memory efficient code for GAs, pages 407–431. ga99aClement.
[2450] Petri Suominen, Matti Pursula, and Jarkko Niittymäki. The optimization on membership functions of
fuzzy traffic signal control using genetic algorithms. In Matti Pursula, editor, Proceedings of the 11th
Mini-Euro Conference on Artificial Intelligence in Transportation Systems and Science, and 7th EuroWorking Group Meeting on Transportation, volume 98 of Helsinki University of Technology Transportation
Engineering Publications, pages LVIII(+4), Espoo (Finland), 2.-6. August 2000. Helsinki University of
Technology. ga00aPSuominen.
[2451] Hans-Paul Schwefel and R. Männer, editors. Parallel Problem Solving from Nature, volume 496 of Lecture
Notes in Computer Science, Dortmund (Germany), 1.-3. October 1991. Springer-Verlag, Berlin. (Proceedings of the 1st Workshop on Parallel Problem Solving from Nature (PPSN1)) ga:PPSN1.
[2452] Stephen D. Scott, Sharad Seth, and Ashok Samal. A synthesizable VHDL coding of a genetic algorithm.
Technical Report UNL-CSE-97-009, University of Nebraska-Lincoln, 1997. ga97aSDScott.
[2453] Katya Rodrı́guez-Vázquez and Carlos Oliver-Morales. Divide and conquer: genetic programming based
on multiple branches encoding. In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo
Poli, and Ernesto Costa, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lecture Notes in Computer Science, pages 218–228, Essex (UK), 14.-16. April 2003.
Springer-Verlag, Berlin. ga03aKRodriguez-Vazquez.
[2454] David B. Fogel. In memorium howard kaufman 1940-1999. IEEE Transactions on Evolutionary Computation, 3(2):81, July 1999. ga99aFogel.
[2455] K. K. Chang and A. M. S. Zalzala. Genetic based minimum-time trajectory planning of articulated
manipulators with torque constraints. In Proceedings of the IEE Colloquium on Genetic Algorithms for
Control and Systems Engineering [2457], pages 4/1–4/3. * EEA 79701/92 CCA 65525/93 ga:Zalzala93.
[2456] Colin P. Williams and Scott H. Clearwater. Explorations in Quantum Computing. Springer-Verlag, New
York, 1998. †TKKpaa ga98aColinPWilliams.
[2457] Proceedings of the IEE Colloquium on Genetic Algorithms for Control and Systems Engineering, volume
Digest No. 1993/130, London, 28. May 1993. IEE, London. ga:IEEGA93.
[2458] Lance D. Chambers, editor. Practical Handbook of Genetic Algorithms, volume 3, Complex Coding Systems. CRC Press, Boca Raton, FL, 1999. ga99CRC.
[2459] Tetsuya Higuchi, Yong Liu, and Xin Yao, editors. Evolvable Hardware. Springer, New York, 2006.
ga06aTetsuyaHiguchi.
Notations
†(ref)
= the bibliography item does not belong to my collection of genetic papers.
(ref) = citation source code. ACM = ACM Guide to Computing Literature, EEA = Electrical & Electronics Abstracts, BA = Biological Abstracts, CCA = Computers & Control Abstracts, CTI = Current
Technology Index, EI = The Engineering Index (A = Annual, M = Monthly), DAI = Dissertation Abstracts International, P = Index to Scientific & Technical Proceedings, PA = Physics Abstracts, PubMed
= National Library of Medicine, BackBib = Thomas Bäck’s unpublished bibliography, Fogel/Bib = David
Fogel’s EA bibliography, etc
* = only abstract seen.
? = data of this field is missing (BiBTeX-format).
The last field in each reference item in Teletype font is the BiBTEXkey of the corresponding reference.
220
Appendix A
Bibliography entry formats
This documentation was prepared with LATEX and reproduced from camera-ready copy supplied by the editor. The ones
who are familiar with BibTeX may have noticed that the references are printed using abbrv bibliography style and have
no difficulties in interpreting the entries. For those not so familiar with BibTeX are given the following formats of the
most common entry types. The optional fields are enclosed by ”[ ]” in the format description. Unknown fields are shown
by ”?”. † after the entry means that neither the article nor the abstract of the article was available for reviewing and so
the reference entry and/or its indexing may be more or less incomplete.
Book: Author(s), Title, Publisher, Publisher’s address, year.
Example
John H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press,
Ann Arbor, 1975.
Journal article: Author(s), Title, Journal, volume(number): first page – last page, [month,] year.
Example
David E. Goldberg. Computer-aided gas pipeline operation using genetic algorithms and rule learning.
Part I: Genetic algorithms in pipeline optimization. Engineering with Computers, 3(?):35–45, 1987.
†.
Note: the number of the journal unknown, the article has not been seen.
Proceedings article: Author(s), Title, editor(s) of the proceedings, Title of Proceedings, [volume,] pages, location of the
conference, date of the conference, publisher of the proceedings, publisher’s address.
Example
John R. Koza. Hierarchical genetic algorithms operating on populations of computer programs. In
N. S. Sridharan, editor, Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89),
pages 768–774, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA. † .
Technical report: Author(s), Title, type and number, institute, year.
Example
Thomas Bäck, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms.
Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992.
221
222
Vaasa GA Bibliography
223
Vaasa Genetic Algorithm Bibliography
Search & Optimise
Main features:
• Over 20,000 references to published papers
• by over 20,000 researchers.
• Available as over 70 special bibliographies online:
ftp://ftp.uwasa.fi/cs/report94-1/ga*bib.pdf files.
• Covers all sciences and engineering fields, from basic theory to applications.
• Several indexes and statistical summaries.
• See what problems evolution can solve for you!
Global optimisation and search heuristics called genetic algorithm mimics evolution in nature using
recombination and selection from a set of solution trials called population. One of the most prominent
attractive features of genetic algorithms from the practical point of view of software techniques is their
simplicity, which makes them easy to implement and tailor to solve practical search and optimisation
problems.
In spite of the seemingly simple processing, the genetic algorithms are good at solving some problems
that are known to be hard. The simplicity, generality, flexibility, parallelism, and the good problem solving
capability have made genetic algorithm very popular among various disciplines desperately searching
methods to solve difficult optimisation problems.
—————
Observe that our server has also a selection of our papers on genetic algorithms and other compuational
topics. See our bibliographies or file ftp.uwasa.fi/cs/README for further details.
224
file
ga90bib.ps.Z
.
.
.
ga02bib.ps.Z
gaACOUSTICSbib.pdf
gaAIbib.pdf
gaAERObib.pdf
gaAGRObib.pdf
gaALIFEbib.pdf
gaARTbib.pdf
gaAUSbib.pdf
gaBASICSbib.pdf
gaBIObib.pdf
gaCADbib.pdf
gaCHEMbib.pdf
gaCHEMPHYSbib.ps.Z
gaCIVILbib.pdf
gaCODEbib.pdf
gaCOEVObib.ps.Z
gaCONTROLbib.ps.Z
gaCSbib.ps.Z
gaEARLYbib.ps.Z
gaEAST-EURObib.ps.Z
gaECObib.pdf
gaECOLbib.pdf
gaELMAbib.pdf
gaESbib.pdf
gaFAR-EASTbib.ps.Z
gaFEMbib.pdf
gaFPGAbib.pdf
gaFRAbib.ps.Z
gaFTPbib.ps.Z
gaFUZZYbib.ps.Z
gaGEObib.ps.Z
gaGERbib.ps.Z
gaGPbib.ps.Z
gaIMPLEbib.ps.Z
gaINDIAbib.ps.Z
gaINVERSEbib.ps.Z
gaIREGbib.pdf
gaISbib.ps.Z
gaJAPANbib.ps.Z
gaLCSbib.ps.Z
gaLASERbib.ps.Z
gaLATINbib.ps.Z
gaLOGISTICSbib.ps.Z
gaMANUbib.ps.Z
gaMATHbib.ps.Z
gaMEDICINEbib.ps.Z
gaMEDITERbib.ps.Z
gaMICRObib.ps.Z
gaMILbib.ps.Z
gaMLbib.ps.Z
gaMSEbib.ps.Z
gaNANObib.ps.Z
gaNIRbib.ps.Z
gaNNbib.ps.Z
gaNORDICbib.ps.Z
gaOPTICSbib.ps.Z
gaOPTIMIbib.ps.Z
gaORbib.ps.Z
# refs
.
..
updated
.
..
557
181
2402
854
138
181
163
659
1040
1358
1346
938
2277
1068
377
232
1766
1453
723
679
1515
124
491
464
2066
86
222
462
1353
1453
312
1586
971
1291
276
247
168
81
2404
211
57
649
689
2009/01/07
2008/03/20
2008/09/18
2008/03/12
2008/03/20
2008/03/12
2003/07/09
2009/01/07
2008/08/21
2009/01/07
2008/08/13
2003/07/09
2009/07/24
2009/04/24
2003/07/09
2003/07/09
2008/03/11
2005/06/30
2004/09/22
2008/08/13
2003/07/09
2003/05/23
2009/01/20
2009/07/24
2003/07/09
2008/05/22
2008/08/13
2008/09/09
2003/07/09
2009/07/27
846
583
1810
83
111
897
490
109
194
1800
948
1720
923
1662
2009/07/27
2009/02/18
2003/07/09
2008/03/31
2005/01/25
2007/11/02
2008/06/11
2008/04/07
2009/07/27
2008/03/12
2009/06/18
2009/02/27
2003/07/09
2008/08/14
2008/03/19
2007/11/01
2009/01/07
2009/07/27
2009/07/24
2009/07/24
2008/05/22
2008/08/13
2008/08/11
2009/07/24
2009/07/24
...table continues on the next page...
contents
GA in 1990
.
..
GA in 2002
GA in acoustics (new: March 2008)
GA in artificial intelligence
GA in aerospace
GA in agriculture (new)
GA in artificial life
GA in art and music
GA in Australia and New Zealand
Basics of GA
GA in biosciences including medicine
GA in Computer Aided Design
GA in chemical sciences ; previously in gaCHEMPHYSbib.ps.Z
GA in chemistry and physics; divided into gaCHEMbib.ps.Z and gaPHYSbib.ps.Z 2002
GA in civil, structural, and mechanical engineering
GA coding
co- and differential evolution GA(new)
GA in control and process engineering
GA in comp. sci. (incl. databases, /mining, software testing and GP)
GA in yearly yeas (upto 1989) new
GA in the Eastern Europe
GA in economics and finance
GA in ecology and biodiversity (new: 1.8.2008)
GA in electromagnetics
Evolution strategies
GA in the Far East (excl. Japan)
GA & FEM (new May 2008)
GA & FPGA (new May 2008)
GA in France
GA papers available via web (ftp and www)
GA and fuzzy logic
GA in geosciences
GA in Germany, Austria, and Switzerland
genetic programming
implementations of GA
GA in India
GA in inverse problems (new: Aug 2007)
image registration (new: July 2009)
immune systems
GA in Japan
Learning Classifier Systems
GA and lasers (new: April 2008)
GA in Latin America, Portugal & Spain
GA in logistics (incl. TSP)
GA in manufacturing
GA in mathematics
GA in medicine (new: Nov 2007)
GA in the Mediterranean
GA in microscopy & microsystems (new: March 2008)
GA in military applications
GA in machine learning new
GA in materials new
GA in nanotechnology new
GA in NIRS (spectroscopy) new
GA in neural networks
GA in Nordic countries
GA in optics and image processing
GA and optimization (only a few refs)
GA in operations research
file
gaPARAbib.ps.Z
gaPARETObib.ps.Z
gaPATENTbib.ps.Z
gaPATTERNbib.ps.Z
gaPHYSbib.ps.Z
gaPIEZObib.ps.Z
gaPOWERbib.ps.Z
gaPROTEINbib.ps.Z
gaQCbib.ps.Z
gaREMOTEbib.pdf
gaROBOTbib.pdf
gaSAbib.pdf
gaSCHEDULINGbib.pdf
gaSELECTIONbib.ps.Z
gaSIGNALbib.ps.Z
gaSIMULAbib.ps.Z
gaTELEbib.ps.Z
gaTHEORYbib.ps.Z
gaTHESESbib.ps.Z
gaUKbib.ps.Z
gaVLSIbib.ps.Z
# refs
809
469
462
1528
2313
51
940
491
539
275
775
331
785
295
2403
1037
840
2483
578
1998
806
225
updated
2009/07/24
2009/03/24
2009/07/27
2007/11/06
2008/04/07
2008/03/26
2008/08/21
2008/03/12
2008/03/11
2008/08/11
2009/07/27
2009/07/24
2006/09/06
2009/07/27
2009/07/31
2009/07/24
2009/07/27
2008/08/13
2009/01/07
2008/05/22
2008/04/07
contents
Parallel and distributed GA
Pareto optimization
GA patents
GA in pattern recognition incl. LCS (new)
GA in physical sciences ; previously in gaCHEMPHYSbib.ps.Z
GA & piezo (new: March 2008)
GA in power engineering
GA in protein research
quantum computing
GA in remote sensing (new: 1.8.2008)
GA in robotics
GA and simulated annealing
GA in scheduling
Selection in GAs (new)
GA in signal and image processing
GA in simulation
GA in telecom
Theory and analysis of GA
PhD etc theses
GA in United Kingdom
GA in electronics, VLSI design and testing
Table A.1:
Indexed genetic algorithm special bibliographies available online in directory
ftp://ftp.uwasa.fi/cs/report94-1. New updates also as .pdf files.

An Indexed Bibliography of Genetic Algorithms in Signal and Image

Transcription

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