October 30, 2017 | Author: Anonymous | Category: N/A
Akihiko Konagaya, Aaron Konstam, John R. Koza, Kristinn Kristinsson, D. P. Kwok, Gregory Levitin ......
An Indexed Bibliography of Genetic Algorithms in Computer Aided Design compiled by
Jarmo T. Alander Department of Information Technology and Production Economics University of Vaasa P.O. Box 700, FIN-65101 Vaasa, Finland e-mail:
[email protected] www: http://www.uwasa.fi/~ jal phone: +358-6-324 8444 fax: +358-6-324 8467
Report Series No. 94-1-CAD
DRAFT March 16, 1997 available via anonymous ftp: site ftp.uwasa.fi directory cs/report94-1 le gaCADbib.ps.Z
c 1995, 1996, 1997 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 y(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 3 Statistical summaries 3.1 3.2 3.3 3.4 3.5 3.6
Publication type Annual distribution Classi cation Authors Geographical distribution Conclusions and future
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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
1 2 2 2
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9
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5 Permuted title index Bibliography Appendixes A Abbreviations B Bibliography entry formats
9 9 10 10 10 11 11 13 19 24 25
27 47 75 75 77
i
List of Tables 1.1 Indexed GA subbibliographies.
: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :
2.1 Queries used to extract this subbibliography from the main one. 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 CAD authors. The geographical distribution of the authors.
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ii
3 4 5 5 6 6 7
Chapter 1
Preface \Living organism are consummate problem solvers. They exhibit a versatility that puts the best computer programs to shame." [1] John H. Holland
The material of this bibliography has been extracted from the genetic algorithm bibliography [2], which when this report was compiled contained 7412 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 have been used systematically ACM: ACM Guide to Computing Literature: 1979 { 1993/4 CA: Computer Abstracts: Jan. 1993 { Feb. 1995 CCA: Computer & Control Abstracts: Jan. 1992 { Mar. 1996 (except May -95) 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 { Mar. 1996 P: Index to Scienti c & Technical Proceedings: Jan. 1986 { Mar. 1996 (except Nov. 1994)
A: International Aerospace Abstracts: Jan. 1995 { May 1995 N: Scienti c and Technical Aerospace Reports: Jan. 1993 - Dec. 1995 (except Oct. 1995) EI A: The Engineering Index Annual: 1987 { 1992 EI M: The Engineering Index Monthly: Jan. 1993 { Mar. 1996
1.1 Your contributions erroneous or missing? This bibliography 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 CAD 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 dierent 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. 1
2
Genetic algorithms and CAD
Complete bibliographical information is really helpful for those who want to nd 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?
The complete BiBTEX record for this report is shown below: @TECHREPORT{gaCADbib, KEY = "CAD", ANNOTE = "*on,*FIN,bibliography /special", AUTHOR = "Jarmo T. Alander", TITLE = "Indexed Bibliography of Genetic Algorithms in Computer Aided Design", INSTITUTION = "University of Vaasa, Department of Information Technology and Production Economics", TYPE = "Report", NUMBER = "94-1-CAD", NOTE = "(\ftp{ftp.uwasa.fi}{cs/report94-1}{gaCADbib.ps.Z})", YEAR = 1995 }
You can also use the BiBTEX le GASUB.bib, which is available in our ftp site ftp.uwasa.fi in directory cs/report94-1 and contains records for all GA subbibliographies.
1.2 How to get this report via Internet? Versions of this bibliography are available via anonymous ftp and www from the following sites: media country site directory le ftp Finland ftp.uwasa.fi /cs/report94-1 gaCADbib.ps.Z www Finland http://www.cs.hut.fi ja/gaCADbib gaCADbib.html
Observe that these versions may be somewhat dierent and perhaps reduced as compared to this volume that you are now reading. Due to technical problems in transforming LATEXdocuments into html ones the www versions contain usually less information than the corresponding ftp ones. It is also possible that the www version is completely unreachable. The directory also contains some other indexed GA bibliographies shown in table 1.1.
1.3 Acknowledgement The editor wants to acknowledge all who have kindly supplied references, papers and other information on genetic algorithms and CAD 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, Hans-Georg Beyer, Christian Bierwirth, Joachim Born, Ralf Bruns, I. L. Bukatova, Thomas Back, Yuval Davidor, Dipankar Dasgupta, Marco Dorigo, J. Wayland Eheart, Bogdan Filipic, Terence C. Fogarty, David B. Fogel, Toshio Fukuda, Hugo de Garis, Robert C. Glen, David E. Goldberg, Martina Gorges-Schleuter, Hitoshi Hemmi, Vasant Honavar, Jerey Horn, Aristides T. Hatjimihail, Mark J. Jakiela, Richard S. Judson, Charles L. Karr, Akihiko Konagaya, Aaron Konstam, John R. Koza, Kristinn Kristinsson, D. P. Kwok, Gregory Levitin, Carlos B. Lucasius, Michael de la Maza, John R. McDonnell, J. J. Merelo, Laurence D. Merkle, Zbigniew Michalewics, Melanie Mitchell, David J. Nettleton, Volker Nissen, Tomasz Ostrowski, Kihong Park, Nicholas J. Radclie, Colin R. Reeves, Gordon Roberts, David Rogers, Ivan Santiban~ez-Koref, Marc Schoenauer, Markus Schwehm, Hans-Paul Schwefel, Michael T. Semertzidis, William M. Spears, Donald S. Szarkowicz, El-Ghazali Talbi, Masahiro Tanaka, Leigh Tesfatsion, Peter M. Todd, Marco Tomassini, Andrew L. Tuson, Jari Vaario, Gilles Venturini, Hans-Michael Voigt, Roger L. Wainwright, D. Eric Walters, James F. Whidborne, Steward W. Wilson, Xin Yao, and Xiaodong Yin. The editor also wants to acknowledge Elizabeth Heap-Talvela for her kind proofreading of the manuscript of this bibliography.
Acknowledgement
le
3
ga90bib.ps.Z ga91bib.ps.Z ga92bib.ps.Z ga93bib.ps.Z ga94bib.ps.Z ga95bib.ps.Z ga96bib.ps.Z gaAIbib.ps.Z gaALIFEbib.ps.Z gaARTbib.ps.Z gaAUSbib.ps.Z gaBASICSbib.ps.Z gaBIObib.ps.Z gaCADbib.ps.Z gaCHEMPHYSbib.ps.Z gaCONTROLbib.ps.Z gaCSbib.ps.Z gaDBbib.ps.Z gaECObib.ps.Z gaENGbib.ps.Z gaESbib.ps.Z gaFAR-EASTbib.ps.Z gaFRAbib.ps.Z gaFTPbib.ps.Z gaFUZZYbib.ps.Z gaGERbib.ps.Z gaGPbib.ps.Z gaIMPLEbib.ps.Z gaLOGISTICSbib.ps.Z gaMANUbib.ps.Z gaMEDITERbib.ps.Z gaNNbib.ps.Z gaNORDICbib.ps.Z gaOPTIMIbib.ps.Z gaOPTICSbib.ps.Z gaORbib.ps.Z gaPARAbib.ps.Z gaPOWERbib.ps.Z gaPROTEINbib.ps.Z gaROBOTbib.ps.Z gaSAbib.ps.Z gaSIGNALbib.ps.Z gaTHEORYbib.ps.Z gaTOP10bib.ps.Z gaUKbib.ps.Z gaVLSIbib.ps.Z
contents GA in 1990 GA in 1991 GA in 1992 GA in 1993 GA in 1994 GA in 1995 GA in 1996 GA in arti cial intelligence GA in arti cial life GA in art and music GA in Australia Basics of GA GA in biosciences including medicine GA in Computer Aided Design GA in chemistry and physics GA in control GA in computer science (incl. databases and GP) GA in databases GA in economics and nance GA in engineering Evolution strategies GA in the Far East (Japan etc) GA in France GA papers available via ftp GA and fuzzy logic GA in Germany genetic programming implementations of GA GA in logistics GA in manufacturing GA in the Mediterranean GA in neural networks GA in Nordic countries GA and optimization (only a few refs) GA in optics and image processing GA in operations research Parallel and distributed GA GA in power engineering GA in protein research GA in robotics GA and simulated annealing GA in signal and image processing Theory and analysis of GA Authors having at least 10 GA papers GA in United Kingdom GA in VLSI design and testing
Table 1.1: Indexed GA subbibliographies.
Chapter 2
Introduction 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 [7] have been implemented by the author mainly as sets of simple awk and gawk programs [8, ?]. string
shape design CAD design
eld
ANNOTE ANNOTE ANNOTE
class Shape design CAD Design
Table 2.1: Queries used to extract this subbibliography from the main one.
4
Chapter 3
Statistical summaries This chapter gives some general statistical summaries of genetic algorithms and CAD literature. More detailed indexes can be found in the next chapter.
type number of items book 1 section of a book 1 part of a collection 7 journal article 138 proceedings article 291 report 23 manual 1 PhD thesis 20 MSc thesis 5 total 487
References to each class (c.f table 2.1) are listed below: CAD 194 references ([9]-[202]) Design 255 references ([203]-[457]) Shape design 38 references ([458]-[495]) Observe that each reference is included (by the computer) only to one of the above classes (see also the queries for classi cation in table 2.1).
Table 3.1: Distribution of publication type.
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.
year items year items 1963 1 1964 0 1965 0 1966 0 1967 0 1968 0 1969 0 1970 0 1971 1 1972 0 1973 1 1974 0 1975 0 1976 0 1977 0 1978 0 1979 0 1980 0 1981 0 1982 2 1983 0 1984 0 1985 2 1986 1 1987 5 1988 4 1989 10 1990 17 1991 31 1992 37 1993 72 1994 109 1995 123 1996 70 1997 1 total 487
3.2 Annual distribution Table 3.2 gives the number of genetic algorithms and CAD papers published annually. The annual distribution is also shown in g. 3.1. The average annual growth of GA papers has been approximately 40 % during almost the last twenty years.
3.3 Classi cation
Table 3.2: Annual distribution of contributions.
Every bibliography item has been given at least one describing keyword or classi cation by the edi5
6
Genetic algorithms and CAD
tor of this bibliography. Keywords occurring most are shown in table 3.3.
3.4 Authors Table 3.4 gives the most productive authors. total number of authors 752 Parmee, Ian C. 20 Mazumder, Pinaki 10 1 author 7 7 authors 6 5 authors 5 14 authors 4 41 authors 3 114 authors 2 567 authors 1 Table 3.4: The most productive genetic algorithms and CAD authors.
3.5 Geographical distribution CAD 213 engineering 125 VLSI 58 layout design 55 VLSI design 42 design 35 optimization 34 neural networks 26 electronics 21 parallel GA 18 comparison 18 shape design 15 hybrid 11 application 11 implementation 10 others 1030
Table 3.3: The most popular subjects.
The following table gives the geographical distribution of authors, when the country of the author was known. Over 80% of the references of the main database are classi ed by country.
Geographical distribution
country abs % Total 487 100.00 United States 150 30.80 United Kingdom 79 16.22 Unknown country 57 11.70 Japan 41 8.42 Germany (including former DDR) 30 6.16 Italy 16 3.29 Canada 11 2.26 India 11 2.26 Finland 10 2.05 Australia 9 1.85 Taiwan R.o.C. 7 1.44 Saudi Arabia 6 1.23 Czech Republic 5 1.03 France 5 1.03 Holland 5 1.03 South Korea 5 1.03 Denmark 4 0.82 Hong Kong 4 0.82 Austria 3 0.62 Kuwait 3 0.62 Singapore 3 0.62 Switzerland 3 0.62 Hungary 2 0.41 Israel 2 0.41 P. R. of China 2 0.41 Sweden 2 0.41 Ukraina 2 0.41 Azerbaithzan 1 0.21 Chile 1 0.21 Greece 1 0.21 Mexico 1 0.21 Poland 1 0.21 Russia 1 0.21 Slovenia 1 0.21 Turkey 1 0.21 Yugoslavia 1 0.21
Table 3.5: The geographical distribution of the authors.
7
6
Genetic algorithms and CAD
d d d 1000 d d d number of annual papers d (log scale) d tt 100 dd t t dd t t d d d d t d d t d dd d d 10 d dd d d t t d dd d d d t t d d
1 dd t 1960
t t
1970 year 1980
t
1990
-t
Figure 3.1: The number of papers applying genetic algorithms and CAD () = total GA papers. Observe that the last two years are most incomplete in the database.
8
Genetic algorithms and CAD
3.6 Conclusions and future The editor believes that this bibliography contains references to most genetic algorithms and CAD contributions upto and including the year 1996 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
Design Theory and Methodology, Electric Power Systems Research, Electronics Letters, Engineering Design and Automation Journal, Engineering Designer, Engineering Optimization, Ergonomics, European Journal of Operational Research, European Journal of Operations Research, Evolutionary Computation, Fluid / Particle Separation Journal, IEE Colloquium on VLSI Design Methodologies, IEE Proc Devices Syst, IEE Proceedings E: Comput. Digit. Tech., IEE Proceedings G: Electronic Circuits and Systems, IEE Proceedings J: Optoelectronics, IEE Proceedings, Computers and Digital Techniques, IEEE Computer Applications in Power, IEEE Expert, IEEE Proc. Comput. Digital Tech., IEEE Transactions on Computer-Aided Design, [494]
The following list contains all items classi ed as books.
[51]
[234, 245, 261, 380, 390, 98]
[492]
[166]
VLSI Physical Design Automaton: Theory and Practice,
[431]
[338]
[169]
[450]
4.2 Journal articles
[83]
[265, 356]
[41]
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.
[410]
[347]
[101]
[189]
[174]
Adaptive Behavior, Adv. Eng. Softw. (UK), Advanced Technology for Developers, AIAA Journal, AIAA Journal on Disc, AIAA Journal?, Artif. Intell. Eng. Des. Anal. Manuf., Arti cial Intelligence in Engineering (UK), Autom. Constr., Biosystems, Bulletin of Faculty of Engineering, Tokushima University (Japan), Chung-Kuo Chi Hsueh Kung Ch'eng Hsueh Pao, Comput. Civ. Eng. (USA), Comput. Oper. Res. (UK), Computer Aided Design, Computers in Chemical Engineering, Computers in Physics, Computers & Industrial Engineering, Computers & Operations Research, Computers & Structures, Des. Stund. (UK), [264]
[10]
[240]
[376]
[107]
[55]
[474, 124, 136, 178]
[393]
[463]
[399, 111,
428, 445]
[116]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Magnetics, IEEE Transactions on Microwave Theory and Techniques,
[13]
[280, 285, 105, 155, 181, 193]
[92]
[69]
[45]
[461, 119, 120, 121, 149]
[365]
[157]
IEEE Transactions on Neural Networks, IEEE Transactions on Power Delivery, IEEE Transactions on Systems, Man, and Cybernetics,
[186]
[227]
[194]
[114]
[20]
[262]
[18, 277]
IEEE Transactions on Systems, Man, and Cybernetics, Part B Cybernetics, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, IFIP Trans. B, Appl. Technol. (Netherlands), IFIP Transactions A, Computer Science and Technology (Netherlands), IIE Transactions,
[113, 455]
[485]
[394]
[250]
[238, 187]
[222, 67]
[34]
[213]
[425]
[205]
[63]
[341]
9
10
Genetic algorithms and CAD
Inf. Software Technol., Information Sciences, Int. J. Prod. Res. (UK), Integration, the VLSI Journal, International Journal of Circuit Theory and Applications, [208]
[237]
[340]
[254, 185]
4.3 Theses The following two lists contain theses, rst PhD theses and then Master's etc. theses, arranged in alphabetical order by the name of the school.
[66]
International Journal of Construction Information Technology, International Journal of Electrical Power Energy Systems (UK), International Journal of Electronics, [276]
[95]
[207, 17, 252, 283, 292,
177]
International Journal of Production Research, J. Compos. Mater., J. Guid. Control Dyn., J. Syst. Eng. (UK), Journal of Aircraft, Journal of Chemical Information and Computer Science, [382, 422]
[27]
[303]
[244]
[335]
[305, 307]
Journal of Computing in Civil Engineering, Journal of Optimization Theory and Applications, Journal of Structural Engineering, Konstruktion, Microcomput . Civ. Eng. (USA), Microcomputers in Civil Engineering, Microprocessors and Microprogramming, Midwest Symp Circuits Syst, Nature-Structural Biology, Neural Network World, New Electronics (UK), Nippon Kikai Gakkai Ronbunshu C Hen, Optical Engineering, Physica D, Proc. Inst. Mech. Eng. B, J. Eng. Manuf. (UK), Proceedings of the Institution of Mechanical Engineers, Part D, (Journal of Automobile Engineering), Res. Eng. Des. (USA), Struct. Optim. (Germany), Sunday Times, Synthese, Texas Instrument Technology Journal, The Guardian Newspaper, The Structural Engineer, Trans. Inst. Electr. Eng. Jpn. C (Japan), Trans. Korean Inst. Electr. Eng. (South Korea), Transaction of the Institute of Electronics, Information and Communication Engineers A (Japan), Transaction of the Institute of Electronics, Information and Communication Engineers D-II (Japan), Transactions of the ASME, Transactions of the Institute of Electrical Engineers of Japan C, Transactions of the Institute of Electronics, Information and Communication Engineers (Japan), VLSI Des., VLSI Design, total 138 articles in 100 journals [284, 488]
[198]
[306]
[81]
[317]
[484]
[211, 295]
[333]
[220]
[314]
[439]
[319]
[396]
[223]
[48]
[170]
[400]
[162]
[289]
[405]
[416]
[421]
[426]
[321]
[179]
4.3.1 PhD theses
Arizona State University,
[43]
Carnegie Mellon University,
[23]
Florida International University, Georgia Institute of Technology, Indiana University,
[282]
[258]
Rensselaer Polytechnic Institute, Stanford University,
[397]
[146]
North Carolina State University, Polytechnic University,
[477]
[173]
[469]
The Ohio State University,
[131]
The Pennsylvania State University, University of Alabama, University of California,
[137]
[217]
University of Hudders eld,
[490]
University of Illinois at Chicago, University of Iowa, University of Louisville, University of Michigan, University of Waterloo, Universite de Paris VI,
[228]
[456]
[414]
[273]
[132]
[278]
[475]
total 20 thesis in 20 schools
4.3.2 Master's theses
This list includes also \Dimplomarbeit", \Tech. Lic. Theses", etc.
[16, 449]
[200]
[122]
[28, 130]
[417]
[229]
[62, 344]
Conservatoire National des Artes et Metiers Centre Regional Associe de Grenoble, [100]
University of Dortmund, University of Genova?,
[430]
[458]
Universitat Kaiserslautern, Universitat Stuttgart,
[129]
[143]
total 5 thesis in 5 schools
Report series
11
4.4 Report series 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. AIAA, Arizona State University, Carleton University, Ecole Normale Superiore, Edinburgh Parallel Computing Centre, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Hampton University, Indian Institute of Technology, Indiana University, Linkoping University, Sandia National Laboratories, Santa Clara University, Stanford University, University of Edinburgh, University of Exeter, University of Illinois at Urbana-Champaign, University of Jyvaskyla, University of Michigan, University of Strathclyde, University of Virginia, Universitat Frankfurt, Universite McGill, [472]
[106]
[437]
[423]
[9]
[444]
[26]
[175]
[144]
[90]
[135]
[176]
[46]
[460]
[412]
[318, 349]
[478]
[434]
[436]
[103]
[216]
[313]
total 23 reports in 22 institutes
4.5 Patents The following list contains the names of the patents of genetic algorithms and CAD. The list is arranged in alphabetical order by the name of the patent. none
12
Genetic algorithms and CAD
Authors
13
4.6 Authors The following list contains all genetic algorithms and CAD authors and references to their known contributions. Abhary, K., Abuali, Faris M., Agarwal, Reena, Agarwal, Vinod K., Aguirre, A. H., Ahmad, Imtiaz, Ahn, Hee II, Ait-Boudaoud, D., Ajjarapu, V., Akagi, Shinsuke, Alander, Jarmo T.,
[330]
[454]
[204]
[195]
[312]
[347, 393]
[308]
[98, 99]
[87]
[411]
[351, 480,
[87]
[333]
[205]
[195]
[277, 88]
[464, 353]
[74, 85]
[394]
[42]
[396]
[285]
[379]
[120, 121]
[375, 385]
[359]
[208]
[166]
[95]
[209, 253]
[309]
[97]
[9]
[17]
[96, 97]
[310]
[354, 355,
Brillowski, K., Brotherton, T. W., Brown, D. R., Brown, David R., Bullock, G. N., Burnham, K. J., Burt, S., Cabrasawan, Feb J., Cao, H. V., Carlson, Susan Elizabeth, Caruthers, James M., Catania, V., Cemes, R., Chan, Heming, Chan, K. C., Chan, King, Chan, Shu-Park, Chandrasekharam, R., Chang, R.-I.,
[81]
[278]
[210]
[354, 355,
[400]
[416]
[423]
[89, 90]
[288]
[63, 163, 165]
[272]
[30]
[359]
[92]
[427, 428, 429]
[93]
[397]
[307, 343]
[17]
[311]
[94]
[98, 99]
[279]
[216, 251,
Bennett III, Forrest H., Benten, M. S. T., Benten, Muhammad S. T.,
[44]
[47]
[55]
286, 70, 82]
[185]
[222, 452]
[307, 343]
[74, 85]
[176, 177]
[345, 350]
301]
Bentley, Peter J., Betensky, E., Bhasker, Jayaram, Bilchev, G., Biro, O., Blickle, Tobias, Blom, G. A., Bommel, P. van, Booker, Peter, Boone, G., Born, Joachim, Bouchard, D. E., Bouchard, Eugene E., Boyd, Ian D., Bradbeer, Peter V. G., Bramlette, Mark F., Branke, Jurgen, Bright, M. S., 380, 391]
[271]
378, 380, 386, 390, 391]
Ashmore, B., Atlan, Laurent, Averill, Ronald C., Axelsson, Jakob, Balio, R. Del, Ball, N. R., Banerjee, P., Banzhaf, Wolfgang, Barclay, Peter J., Bassett, Steve, Bazylevych, Roman P., Becker, Bernd,
[68, 490, 491,
492]
481, 489]
Albanna, Z., Ali, Hesham H., Allan, V. H., Altman, Erik R., Amaral, Jose Nelson, Anderson, Murray B., Andre, David, Androulakis, I. P., Anon., Areibi, Shawki, Arslan, T.,
Bentley, P. J.,
[211, 254, 101]
[207, 252,
[234]
Chapman, Colin D., Chatroux, Thierry, Chaudhury, S., Chen, C. L. Philip, Chen, C. Y. R., Chen, Ching-Dong, Chen, Jahau Lewis, Chen, M. M., Chen, R. M. M., Chen, T., Cheng, C., Cheng, Runwei, Cheu, Wen-Chin, Chi, H., Chiang, Hsiao-Dong, Chikhani, A. Y., Chincarini, A., Chipper eld, Andrew, Cho, K. H., Cho, Sung Jin, Cho, Tsu Won, Christensen, John P., Christiansen, Alan D., Chu, Chee-Hung Henry, Chu, K. H., Chun, Jang-Sung, Chung, Tae Kyung, Cioppa, A. Della, Clitherow, P., Cluitmans, L. J. M., Coello Coello, Carlos A., Cohoon, James P.,
[212]
[100]
[101]
[19]
[393]
[280]
[206, 194]
[304]
[383]
[62, 344]
[348]
[281]
[224]
[33]
[95]
[309]
[458, 461]
[69]
[406]
[370]
[308]
[237]
[11, 312]
[102, 398]
[225]
[362]
[78]
[288]
[408]
[322]
[11, 312]
[342, 366,
399, 103, 104, 105]
Cole, D. G., Conway, Daniel G., Coombs, Susan, Coon, Brett W., Cormier, Denis Roger, Corne, Dave, Cornejo-Rodriguez, A.,
[315]
[213]
[402, 403]
[214]
[282]
[291]
[61]
14
Genetic algorithms and CAD
Coverstone-Carroll, Victoria L., Cowley, P. H., Cox, Jr., Louis Anthony, Crossley, T. R., Crossley, William A., Crossley, William Alva, Culbreth, C. T., Curatelli, F., Cusic, Rod, D'Ambrosio, Joseph G., Dasgupta, Dipankar, David, R. A., Davidor, Yuval, Davidson, J. W., Davis, Lawrence,
[59]
[53]
[404]
[54]
[12, 106]
[43]
[328]
[283]
[96]
[377]
[156, 435, 436]
[407]
[401]
[284]
[402, 403,
107, 404]
Davis, Mike, De Falco, Ivanoe, DellaCioppa, A., Della Cioppa, A., Della Cioppa, Antonio, Del Balio, R., Delmaire, H., Demaid, A., Denham, M. J.,
[215]
[486]
[459]
[486]
[335]
[486]
[313]
[108]
[266, 274, 63,
438]
Deshpande, S. M., Dhodhi, Muhammad K., Dighe, Rahul, Ding, Ying, Dobnikar, Andrej, Drechsler, Rolf,
[303]
[285, 347, 393]
[356]
[55]
[314]
[216, 251,
286, 70, 82, 387]
Dunham, B., Duponcheele, Georges, Dyczij-Edlinger, R., Eastman, Charles M., Edwards, J. A., Eggert, H., Elias, John G., Elmakis, David, Engel, Michael V., Engst, Norbert, Ersoy, Cem,
[405]
[462]
[149]
[45]
[52]
[71, 374]
[215]
[51]
[376]
[444]
[232]
Esbensen, Henrik,
[216, 263, 40,
381, 388, 109]
Eshelman, Larry J., Estevez, Pablo A., Etter, D. M., Evans, G., Eyvazova, Z. E., Fabbricatore, P., Falco, I. De, Fang, W. Eugene, Finley, Linda, Fiorito, N., Fisher, G., Fisher, M. H., Fleming, Peter, Fogarty, Terence C., Fogel, David B., Fong, N. H. B., Fourman, Michael P., Frazer, J. H., Freeman, L. M., Fridshal, D., Friedrich, Ch. M., Friedrich, M., Fuat U ler, Gokce, Fujimoto, Yoshiji, Fujita, Kikuo, Furuhashi, Takeshi, Furuta, H., Furuya, Hiroshi, Gage, P. J., Gage, Peter J., Gao, Guang R., Gebert, Glenn A., Gemme, G., Gen, Mitsuo, George, Suju M., Geraci, M., Gero, John S., Ghosh, Joydeep, Glaskin, M., Glasmacher, Klaus, Glover, David E., Gockel, Nicole,
[184]
[287]
[406, 407]
[188]
[60]
[461]
[288]
[246]
[376]
[311]
Gockel, Nicole, Gold, Sonke-Sonnich, Goldberg, David E.,
[70, 82, 387] [444] [318, 349,
117, 118, 415, 138]
Goldberg, Yaron, Golobic, Janez, Goodman, Erik D., Goos, Janne, Gorges-Schleuter, Martina, Gorne, Thomas, Gottvald, A., Goulter, I. C., Graf, Jeanine, Graf, J., Graham, P., Greenwood, Garrison W., Gregory, B. A., Grierson, D. E., Gruau, Frederic C., Gu, P., Gupta, M., Gupta, Yash P., Haas, O. C. L., Haftka, Raphael T., Hahn, Song-Yop, Hajela, P., Hajela, Prabhat, Hamalainen, Ari, Hamam, Y. M., Han, Seung-Kee, Handa, Keiichi, Handa, K., Hansdah, R. C., Harik, Georges, Harley, P. J., Harris, R., Hart, William Eugene, Hase, H., Hegde, Shailesh U., Hegde, U., Heijligers, M. J. M., Hemmi, Hitoshi,
[401] [79]
[55] [73] [71, 374]
[148]
[119, 120, 121] [284] [65]
[408]
[358]
[47]
[316]
[69]
[64]
[377]
[122]
[210]
[161, 162]
[315]
[264]
[409, 410]
[336]
[316]
[382]
[141]
[67]
[405]
[392]
[120]
[477]
[357]
[411]
[28]
[317, 324, 123]
[112]
[116]
[46]
[195]
[353]
[461]
[281, 348]
[31]
[413]
[47] [112] [78, 179]
[10, 473, 363]
[124, 125, 126] [320]
[127] [308] [290] [321]
[57, 91, 395] [318]
[296] [259]
[217] [123]
[103, 104, 105] [416]
[13]
[322]
[277, 88]
[289]
[115, 128]
[414]
[286]
[21, 32, 36,
38, 39]
He, Axel, Hicks, M. J., Hielscher, Frank H.,
[128, 129] [406] [285]
Authors Hill, A. M., Hill, T. M., Hill, T., Hindi, K. S., Hirata, H., Hirose, A., Hirst, Tony, Hoa, Robert, Homann, Frank, Ho er, A., Hon, K. K. B., Honiden, S., Horrocks, D. H., Horrocks, David H., Hsiao, P.-Yung, Hsu, Y. C., Hu, Xiaobo (Sharon), Hu, Yu Hen, Huang, K., Huang, Runhe, Hughes, Mark, Hung, Shih-Lin, Hunt, J. E., Hunt, J., Huovila, Henrik, Hurson, A. R., Husbands, Phil, Hwang, Kuo-Yen, Iannuzzi, Mark, Ida, K., Ige, D. O., Iida, Seiji, Inoue, O., Inoue, Osamu, Inoue, Ishida, Ryihei, Ishida, Ryohei, Ismaeel, A. A., Ismail, H. S., Ives, R., Iwamoto, Takashi, Jaeger, E. P., Jagobs, Stefan,
15 [14]
[323]
[360]
[127]
[417, 130, 418]
[324]
[389]
[197]
[15]
[419, 420]
[33, 48, 422]
[321]
[390, 391]
[354, 378, 386]
[234]
[110, 111]
[377]
[199]
[33]
[361]
[421]
[131]
[64]
[325]
[203]
[218]
[487]
[400]
[219]
[348]
[92]
[159]
[472]
[331]
[16]
[474]
[463]
[347]
[48, 422]
[487]
[93]
[135]
[83]
Jain, Sandeep D., Jakiela, Mark J., Jakob, W., Jakobi, Nick, James-Gordon, Y., Jang, Yuongjo, Jeerys, E. R., Jenkins, W. M., Jermy, G., Jess, J. A. G., Jin, Hong Lan, Jin, Lin-Ming, Johnson, Caroline, Johnson, Glen E., Johnson, J. Michael, Johnson, M., Joines, J. A., Judson, Richard S., Jung, Hyun-Kyo, Kado, Kazuhiro, Kakazu, Yukinori, Kamhawi, Hilmi N., Kammer, Daniel C., Kane, C., Kang, S. M., Kang, Sung-Mo, Kao, Cheng-Yan, Kapoor, B., Karafyllidis, Ioannis, Karr, Charles L.,
[221]
[212, 356]
[71, 374]
[72]
[364]
[455]
[134]
[425, 426]
[487]
[322]
[327]
[176, 177]
[367]
[113]
[84]
[272]
[328]
[135]
[362, 179]
[291]
[158]
[19]
[136]
[49, 475]
[231]
[14]
[224]
[329]
[292]
[41, 137, 138,
139, 140, 141]
Kathman, Alan D., Kazerooni, M., Keane, Martin A., Kearsley, Simon K., Khamisani, W., Khorrami, Farshad, Khosla, Pradeep K., Kilinski, M., Kim, Jin-Oh, Kim, Myunghwan, Kim, S. J., Kim, Seog-Wham, Kim, Suk Ki,
[44]
[330]
[74, 85]
[305]
[240, 448]
[221]
[142]
[332]
[142]
[455]
[76]
[179]
[78]
Kim, Y. I., Kim, Youngtak, Kimura, Atsushi, King, E. G., King, R. E., King, R.-M., Kirokawa, Noriyasu, Kitano, H., Knickmeier, Frank, Knight, John P., Koakutsu, S., Kobes, E., Kosak, Corey, Koskimaki, Esa, Kottapalli, M. S., Koza, John R., Krishnamoorthy, C. S., Kroo, I. M., Kruiskamp, Wim, Kuga, Shinipei, Kuh, Ernest S., Kumar, A., Kumar, Anup, Kumar, R. R., Kundu, S., Kundu, Sourav, Kurbel, Karl, Kwasnicka, H., Kyuma, Kazuo, Laananen, David H., Lahdelma, Risto, Lai, L. L., Lai, Y. T., Lampinen, Jouni, Langevin, A., Laporte, E., Leclair, Steven R., Lee, E., Lee, Jinkoo, Lee, J., Lee, K., Lee, Michael A., Lee, Yuh-Sheng, Leenaerts, Domine,
[76]
[455]
[29]
[141]
[328]
[427, 428, 429]
[411]
[223]
[430]
[182]
[417, 130, 418]
[143] [18, 424]
[73]
[398]
[74, 85]
[175]
[116]
[50, 66]
[290]
[381, 388]
[382]
[67] [303]
[34, 150]
[13]
[293]
[332]
[93]
[12, 106]
[471]
[225]
[202]
[480, 481, 489]
[313] [466]
[19]
[126]
[113, 132]
[473, 363]
[76]
[432]
[280]
[50, 66]
16
Genetic algorithms and CAD
Leijenhorst, D. C. van, Leitch, Donald Dewar, Lesniak, Joanna, Levitin, Gregory, Levitt, Jeremy R., Leyner, U., Li, Wei, Lienig, Jens, Lin, Chyi-Yeu, Lin, C.-S., Lin, C.-Y., Lin, Shyh-Chang, Lin, Y. L., Lin, Youn-Long, Liu, B. D., Liu, Luoping, Liu, Xingzhao,
[365, 147]
[255]
[30]
[51]
[294]
[419, 420]
[346]
[226, 265, 366]
[256]
[151]
[152, 153]
[182]
[103, 104, 105]
[433]
[51]
[240, 263, 434,
154, 155, 445, 446, 447, 185, 448]
[125, 126]
[262]
[10]
[55]
[110, 111]
[280]
[202]
[215]
[238, 186,
187, 449]
Lohbeck, T. K., Louis, Sushil John, Lucasius, C. B., Lucasius, Carlos B., Luchian, Henri, Lunn, Ken, Luong, L. H. S., Ly, Tai A., M, Russo, Ma, Jianhua, Maeda, K., Magele, C. A., Maher, M. L., Maher, Mary Lou, Mahotilo, K. V., Majhi, A. K., Makinen, Raino A. E., Makki, R. Z., Malgeri, M., Maniezzo, Vittorio, Mansour, M. A., Mantel, B., Mantykoski, Janne, Mao, Chi-Yu, March, S. T., Marks, Joe,
Markus, A., Markus, Andras, Mars, P., Martin, Raul San, Martin, Worthy N., Masui, T., Mazal-Tov, Shmuel, Mazumder, Pinaki,
[431]
[144, 145, 146]
[365]
[208, 147]
[17]
[367]
[330]
[193]
[311]
[361]
[317]
[120, 121, 149]
[150]
[20, 34]
[373]
[295]
[471, 478]
[229]
[311]
[227]
[52]
[466]
[35]
[199]
[270]
[18, 424]
Mazumder, P., McGregor, Douglas R., McIlhagga, M., Meinzer, S., Menth, Stefan, Meyer, Jean-Arcady, Michalewicz, Zbigniew, Michielsen, E., Michielssen, E., Mill, Frank, Miller, J. F., Miller, Julin F., Mills, J. A., Minagawa, Masaaki, Mittra, R., Miyanaga, Yoshikazu, Mizoguchi, Jun'ichi,
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[156, 435, 436]
[487]
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[89]
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[157]
[174]
[56]
[243]
[17]
[47]
[158]
[174]
[225]
[368] [257]
[198] [357] [357]
[405] [333] [465]
[230] [297] [24]
[495] [231] [168, 169]
[205] [437, 160] [444]
[413] [404] [444]
[224]
[232] [354, 378,
386, 390, 391]
[327]
Pak, W. H., Pakzad, S., Palmer, Charles Campbell, Pan, Tzong-Shii, Pao, Yoh-Han, Paris, William D., Parkinson, B. W., Parmee, Ian C.,
[161, 162]
[21, 32, 36,
[218]
38, 39]
Mohamed, S. S., Mohamed, Samir S., Mohan, S., Moin, N. H., Mollaghasemi, M., Moon, Byung-Ro, Moraga, C., Mori, Hiroyuki, Morimoto, H., Mosetti, G., Mowchenko, Jack T., Muddappa, S., Musenich, R., Nakatani, T., Nakayama, T., Nambiar, R., Nassar, K.,
Ndeh-Che, F., Nemec, Viktor, Nguyen Bui, Thang, Niklaus, J., Nishiguchi, Masato, Nomoto, Kenichi, North, J. H., Noteboom, Ron, Obayashi, Shigeru, Obradovic, Zoran, Ohmori, Kenji, Oka, K., Okino, Norio, Olson, Eric, Onder, H. H., O'Neill, M. R., Oommen, B. J., Opaterny, Thilo, Orlando, P., Orvosh, David, Ost, Alexander, Ouh-Young, Ming, Oyman, A. I_irfan, Ozdemir, E.,
[54]
[267]
[434, 154, 155]
[296]
[188]
[228]
[392]
[159]
[123]
[476, 493]
[193]
[229]
[461]
[324]
[93]
[152, 153]
[301, 345]
[258]
[178]
[457] [399]
[22] [233, 259,
266, 269, 272, 274, 275, 276, 298,
63, 334, 369, 379, 86, 163, 164, 165, 166, 438, 167]
Parodi, R., Parry, S., Parsaei, Hamid R., Patel, J. H., Pathak, Rakesh M., Patnaik, L. M., Pearce, R., Peng, Pei-Yuan, Periaux, J., P ster, Gerd,
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[337] [67] [295, 57, 91]
[53] [221] [466]
[15]
Authors Pham, D. T., Pollard, T., Poloni, Carlo, Poloni, C., Porter, B., Porter, Brian, Powell, David J.,
17 [168, 169, 170]
[210]
[467, 476, 493]
[75]
[54]
[267]
[440, 171,
[220]
[300, 484]
[291]
[23]
[120, 121, 149]
[337]
[255]
[11]
[22]
[55]
[442]
[180, 443, 181]
[404]
[237]
[459, 468,
[340]
[71, 374]
[9]
[345]
[84]
[175]
[225]
[295]
[31]
[174]
[57, 91, 395]
[336]
[178]
[180, 443, 181]
[316]
[183]
[144, 145]
[235, 260]
[240, 448]
[236, 268,
[444]
[149]
[256]
[235]
[270]
[104, 105]
[114]
[494]
[469]
[483, 482]
[313]
Saito, H., Sakamoto, Akio,
[207, 252,
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446, 447, 185, 448]
Shahookar, K., Shen, Y., Sheppard, S. D., Sheppard, Sheri D., Sheridan, Robert P., Shi, Y., Shieber, Stuart, Shimamoto, Takashi,
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Shimohara, Katsunori,
[21, 32, 36,
38, 39]
[37]
[238, 186,
187, 449]
Salama, M. M. A., Sanderson, A. C., Sandgren, Eric, Sangolola, Bamidele A., Santiban~ez-Koref, Ivan, Sargent, P. M., Savini, A., Saxena, Ashutosh, Schaer, J. David, Schaftner, Christoph, Scherer, A., Schlageter, G., Schnecke, Volker, Schnecke, V., Schneider, Bernd, Schneider, Jerry B., Schneider, Martin, Schoenauer, Marc, Schoenauer, M., Schoenefeld, Dale A., Schwarz, Josef, Schwehm, Markus, Seals, R. C., Sefrioui, M.,
Selig, Michael S., Semmler, Klaus, Sen Gupta, Indranil, Sergeev, S. A., Sethares, William A., Seywald, H., Shahookar, Khushro,
187, 449]
301, 338, 350, 371]
299, 441]
Reinartz, Karl Dieter, Renhart, W., Renner, G., Reorda, Matteo Sonza, Reynolds, Robert G., Richards, Dana S., Richards, Gill G., Richards, R. A., Richards, Robert A, Richards, Robert A., Riopel, D.,
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335, 479]
Quinte, A., Radclie, Nicholas J., Rahmat-samii, Yahya, Rajeev, S., Rajroop, P., Raman, S., RamBabu, P., Ranjithan, S., Rao, B. B. Prahlada, Rao, Harish A., Rao, Singiresu S., Rao, Vasant B., Rastogi, M., Ravichandran, B., Rawlins, Gregory J. E., Rebaudengo, M., Reddy, S. M., Reeves, Colin R.,
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Preis, K., Probert, Penelope, Pullen, Samuel P., Punch, William F., Qiu, Yuping, Quagliarella, Domenico,
Ritcher, K. R., Roberts, A., Roberts, J., Robertshaw, H. H., Ro Moon, Byung, Rosenman, M. A., Ross, Peter, Roston, Gerald Paul, Rudnick, E. M., Rudnick, M., Rudnick, William Michael, Saab, Youssef G., Saha, Swapan, Sahu, S., Sait, S. M., Sait, Sadiq M.,
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[239]
[466]
Siabiris, Anastassios, Simpson, P. K., Singh, Kirti, Skolnick, Michael M., Smith, Alice E., Smith, B. V., Smith, Joshua R., Smith, Richard A., Soh, Chee Kiong, Sonza Reorda, M., Sorbello, F., Srikumar, Rangarajan, Stearns, S. D., Storer, Robert H., Stouet, B., Stuckman, B., Subramanian, S., Suckley, D., Sugai, Y., Sugiyama, Yoshihiko, Sundaram, C., Suresh, G., Surry, Patrick, Su, W., Sushil, J., Szarkowicz, Donald S., Takagi, Hideyuki,
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18
Genetic algorithms and CAD
Takagi, Kentaro, Takahashi, Kensuke, Takanashi, Susumu, Tam, Kar Yan, Taneja, Mukesh, Tang, C. K. K., Taniguchi, N., Tanomaru, J., Tansri, H., Tanvir, Shahid, Tarantino, E., Tate, David M., Teich, Jurgen, Teliuk, Taras M., Thanailakis, Adonios, Thanedar, P. B., Tharigen, Michael, Thiele, Lothar, Thijssen, J. M., Thomson, P., Thornton, A. C., Thulasiraman, K., Tilley, Derek G., Tochinai, Koji, Toensho, H. K., Toivanen, Jari, Tomikawa, T., Tonegawa, T., Tong, Siu Shing,
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[465]
[450, 451]
[241]
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[24]
[222, 452]
[350]
[288, 486]
[341, 453]
[437]
[141]
[151]
[419, 420]
[256]
[247]
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[342]
[94]
[413]
[268, 299]
[79]
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[61]
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[196, 197]
[196, 197]
[245, 245,
Venkataramanan, M. A., Venkatasubramanian, Venkat,
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Venkatasubramanian, V., Venkayya, Vipperla B., Vicini, A., Vinod, V. V., Viswanadham, N., Voigt, Hans-Michael, Vornberger, Oliver, Vornberger, O., Vuori, Jarkko, Wade, J. G., Wainwright, Roger L., Wake eld, J. P., Wake eld, Jonathan P., Walk, M., Walter, Thomas, Walters, G. A., Wang, Bo Ping, Wang, L. Y., Wang, Leuo-Hong, Wang, X. F., Wang, X.-D., Wang, Xiao-Dong, Warrington, Stephen, Watabe, Hirokazu, Watanabe, E., Watson, K., Welde, Th. P. van der, Wells, Valana L., Wesselkamper, T. C.,
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[35]
[63]
[81]
[471, 478]
[200]
[123]
[122, 440,
[454]
[68, 491, 492]
[42]
[198]
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[135]
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[60]
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Whapshott, G. F., Whitaker, Kevin W., Wiedemann, J., Williamson, A. G., Willis, H. Lee, Winchell, Michael, Wright, Christine C., Wu, A. C.-H., Wu, A., Wu, K. Y., Wu, Zuowei, Xiao, Yong Liang (Leon), Xiong, Yihua, Yamagishi, T., Yamakawa, Hiroshi, Yamamoto, Kenji, Yamamoto, K., Yang, Hanqing Q., Yang, Jiaping, Yang, Y., Yao, Leehter, Yao, Xin, Yeh, M. Y., Yeralan, S., Yip, P. P. C., Yoon, Joong-Suk, Yoshikawa, T., Yoshimura, Masata, Young, Wen-Bin, Youssef, Habib,
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[60]
261, 261]
[375, 385]
171, 172]
Tozawa, Tatsumi, Tram, Hahn, Treasurywala, Adi M., Tropsha, Alexander, Tsai, F. S., Tsao, Yi-Cheng, Tsunashima, N., Tsutsui, Shigeyoshi, Tumer, Kagan, Turton, B. C. H., Tzes, Anthony, Uchikawa, Yoshiki, Unal, Resit, Vahidov, M. A.,
Vahidov, R. M., Valveti, J. S., Vancza, Jozsef, Vancza, J., Vanderplaats, G. N., Varanelli, James M., Vasallo, G., Vasiljevic, Darko, Vazquez-Montiel, S., Vemuri, Ram, Vemuri, Ranga, Vemuri, R.,
[412, 431]
[206]
[202]
[224]
[225]
[62]
[344]
[56]
[495]
[317, 123]
[247]
[208]
[12, 106]
[30]
[331]
[472]
[114]
[326, 485, 488]
[170]
[136]
[352]
[202]
[262]
[457]
[362]
[28]
[29]
[27]
[301, 338,
350, 371]
Youssef, H., Zarubin, V. A., Zeyher, Allen, Zgierski, J. R., Zhang, B., Zheng, Weifan, Zhou, Yejin, Zimmermann, Gerhard, Zinober, A. S. I., Zucker, J.,
[345]
[80]
[250]
[437, 160]
[461]
[370]
[456]
[115, 128]
[296]
[108]
total 487 articles by 752 dierent authors
Subject index
19
4.7 Subject index All subject keywords of the papers given by the editor of this bibliography are shown next. The keywords \neural networks", \optimization", and \evolution strategies" have been omitted in this list because of their high occurrence rate. adaptive coding, adaptive lter design, aerodynamics,
[190, 191, 192] [152]
shape design,
[459, 335, 479]
470, 471, 477, 478, 480, 481, 483, 485, 488, 490, 491, 492]
shape design?, shape optimization, surfaces, uncertainty, VLSI,
[45]
[167]
[80]
[317]
[43]
[236, 299] [137, 138,
[15]
445, 446]
[402, 403]
design, manufacturing, NMR devices, VLSI, applications electronics, manufacturing, architecture CAD, automatic design, automaton nite state, bin-packing 2D, biodiversity, biomorphs, Boolean functions, Reed-Muller expansions, brachistochrone, Breeder GA, cache memory, CAD,
[241] [120, 121] [185]
[28, 32, 36,
[63]
[98, 99, 35]
[456]
[21]
[41]
[229]
[70]
[55]
[444]
[27]
[133]
[70]
[190, 192]
[103,
104, 198, 96, 102, 137, 119, 122,
124, 129, 138, 171, 173, 175, 176, 196, 87, 97, 105, 108, 117, 118, 125, 128, 139, 140, 144, 145, 160, 168, 172, 178, 181, 185, 188, 190, 109, 115, 121, 126, 130, 131, 133, 141, 142, 152, 153, 156, 158, 161, 163, 169, 174, 179, 189, 191, 192, 197, 89, 90, 91, 92, 94, 95, 100, 106, 112, 113, 114, 116, 123, 127, 136, 146, 148, 157, 159, 162, 164, 166, 170, 182, 183, 184, 186, 187, 193, 194, 195, 495, 199, 200, 201, 9, 10, 11, 12, 13, 16, 18, 19, 20, 23, 25, 26, 29, 30, 34, 461, 463, 52, 59, 60, 64, 65, 68, 69, 72, 73, 76, 77, 78, 86]
[191]
[305, 307, 343]
[185]
[203, 397, 387]
[494, 469,
classi ers design, clique cover, clustering, coding real, comparison, branch and bound, classical methods, damped least squares, heuristic method, heuristics, in distribution system design, [10]
[37]
[195]
[226, 265]
[101]
[47]
[71]
[486]
[77]
[210]
[81]
[17]
[42, 67]
482, 483]
[58]
[316]
wiring, CAD/ electronics, CAD?, CAM, channel routing, chemical process optimization, chemistry drug design, physical, polymer design, chromosome 2D bitmap, circuit design, classi er systems,
[217, 224]
[83]
[432]
[110, 111,
[271, 273]
[33]
[45]
[22]
[85]
[149]
[120, 121, 84]
engineering, lters, framework, geometry, hardware design, hydrocyclone, IC, laminates, lay out design, machine parts, manipulators, medicine, micromechanics, modeling, nesting, opamps, optical devices, optics, optimization, preliminary design, process planning, review in engineering, shape,
[54]
[24]
38, 39, 74, 82]
[387]
[49, 56]
202, 14, 31, 40, 57, 62]
[51]
[135]
[296]
[484, 487]
180, 93, 88, 154, 177, 101, 155, 193,
[17]
communication link speed design,
[494, 458,
461, 462, 465, 466, 467, 468, 469,
[150]
[472, 331,
476, 478, 359, 486]
transonic, aesthetics bridge design, analysing GA, application,
CAD adaptive, buildings, civil engineering, conceptual design, conseptual design, controllers, digital circuits, distribution system, drugs, electromagnetic devices, electromagnetics, electronics,
[174]
[48]
[120]
[50, 66]
[61]
[147, 44]
[494, 134]
[53]
[151]
[254]
[174]
[79]
[51]
[284]
[376]
[165]
[473, 75, 489]
in feedback controller design, [315]
20
Genetic algorithms and CAD simulated annealing,
[181, 188, 177,
193, 207, 25, 245, 252, 261, 295]
computational geometry, computer graphics, computer graphics?, computer-aided design, concurrent engineering, control feedback, manipulator, spacecraft, controller turbine, controllers fuzzy, crossover cycle, permutations, curved surfaces, curves, DARWIN, data ordering problem, databases components, design, design,
[109, 158, 83]
[65]
[324]
[60]
[282]
[315]
[221]
[303]
[69]
[139, 15]
[177]
[222]
[54]
[200]
[50, 66]
[387]
[400]
[208, 270]
[405, 408,
421, 440, 394, 430, 415, 146, 164,
300, 316, 324, 325, 360, 363, 364]
design conceptual, layout, printed circuit boards, shape,
[395]
[73]
[87, 177, 234]
[187]
[256, 326,
[377]
[399, 447,
185, 186, 14, 366]
[225]
[481]
[148, 184]
[441]
[217, 220,
[157, 458,
[175, 125, 126,
463, 55, 470, 306, 317, 474, 485, 80]
engineering design,
[290]
[201, 282, 63,
334, 68, 358]
[180]
[129]
[187, 449]
[449, 239,
engineering design?, ergonomy, estimation, evolution strategies,
[319]
[168] [225]
[198, 119,
121, 149, 362, 377]
[17]
[32, 36, 38, 39]
[239]
[279]
[28]
CAD, evolution strategy, evolutionary strategies, experimental design,
[143] [78]
[209, 253]
[441, 236,
268, 299, 304, 351]
[389]
[377]
[171]
[173, 120,
engineering aerospace,
[171,
106, 116, 136, 493, 12, 22, 459, 26,
[132]
[71]
[167, 248,
276, 284, 45, 317, 326]
construction,
[419, 420,
242, 462]
design,
[400, 166,
249, 259, 266, 267, 269, 272, 274,
[490]
[122, 87, 89,
494, 123, 136, 162, 206, 212, 11, 13,
[50, 66]
144, 141, 161, 163, 203, 92, 112,
275, 276, 298]
design theory, electric power, electrical, electronic, electronics, machine, mechanical,
[27]
radio,
structural,
[30]
438, 206, 212, 219, 233, 242, 246,
[374]
[9]
461, 52]
113, 127, 149, 170]
CAD, chemical, civil,
[367]
69, 362, 73, 78, 376, 489]
[362]
354, 375]
digital, HDL, HDL programs, PCB, PCB assembly, embedded systems, real-time, EnGENous, engineering,
[107, 41]
90, 95, 225, 51, 59, 477, 480, 481,
303, 471, 472, 473, 476, 335, 478,
331, 335, 353, 359, 362, 78, 488]
224, 370]
[323]
479, 353, 359, 75, 80, 84]
[411]
design optimization, desing shape, diagnostics, diesel engines, digital lters, diversity, drug design,
mining, petroleum, pipes, plastics, power,
[123]
43, 288, 46, 464, 53, 466, 467, 468,
[46]
software, VLSI,
easthetics, economics design, EDGA, electric machines, electromagnetics, electronics, 3-valued transistor, ampli ers, analog, ASIC, CAD, channel routing, design,
[318, 349]
[114]
[159]
[279]
[207, 252, 387]
[481]
[143, 23, 242,
25, 246, 267, 480, 482]
Taguchi, expert systems, rule based, facility layout design, factorial analysis, factorial design, lter design, lters, digital, FIR, nite state machines, tness fuzzy, FMS layout, formal languages, fuzzy logic, fuzzy rules, fuzzy systems design, GA parameters, GAANT, GALAPAGOS, GAPE,
[244] [168]
[488] [313]
[236]
[351] [407, 153]
[102]
[35] [189, 98, 99]
[211]
[73]
[247]
[444] [53]
[432]
[255]
[135]
[86] [433]
[104, 105]
Subject index
21
GASP, gene size 2880bits, generations 1000, 50;100, genetic programming,
[447]
[432]
[250]
[213]
[423, 214, 38,
74, 85]
Genie, GLEAM, global optimization, GPLACE, graph coloring, graphs, partitioning, graps partitioning, guns, half-tone pattern design, hardware architecture design, hardware design, helicopters, hybrid, GRASP, hill-climbing, linear programming, local search, neural networks, simulated annealing,
[399]
[71]
[351]
[58]
[101]
[101]
[257]
[228]
[179]
[398]
[385, 389]
[193]
[43]
[228]
[278]
[283]
[456]
[217]
[31]
[152, 457,
263, 283, 293, 309]
tabu search, hydrocyclone, hydrodynamics airfoil design, transonic, IIR lters, image processing 3D shape estimation, fractals, immune networks, engineering design, implementation C,
[278]
[137, 138, 107]
[288]
[288]
[152]
[37]
[444]
[363]
[379]
[105, 422]
Cray Y-MP8/864, Hypercube, MasPar, MIMD, Occam, Pascal, Smalltalk-80, transputer, transputers, interactive, interactive GA, interval arithmetics, inverse problems aerodynamic, laminates, layout design,
[131]
[105]
[444]
[395, 217]
[368]
[461]
[456]
[361, 368]
[395]
[433]
[65]
[351]
[465, 486]
[92, 55]
[419,
420, 409, 410, 414, 103, 437, 417,
443, 105, 424, 160, 181, 185, 455, 416, 130, 418, 422, 433, 154, 169, 450, 451, 155, 452, 453, 199, 213, 16, 222, 18, 241, 34, 281, 284, 302, 341, 348, 382]
layout design area optimization, dynamic, facility, FMS, nesting, networks, petroleum site, shop job, VLSI,
[235]
[262]
[457, 291, 340]
[247]
[356]
[412, 431]
[367]
[456]
[427, 428,
240, 384]
layout design?, logic, LSI design, machine learning, macro cell layout, manipulator design, manipulators single link, manufacturing, cell design, layout design, plastics, process planning,
[309, 346]
[17]
[290]
[131, 482]
[444]
[401, 142]
system design, maximal clique, medicine drug design, radiotherapy, meta GA, microprogramming, Monte-Carlo, mould design, nesting, network bisection, network design, networks layout design, neural networks, back propagation, design,
[336]
[101]
[273] [47]
[445, 446]
[311] [191]
[27]
[422, 356] [181]
[404]
[431] [131, 60, 72]
[77]
[423, 435,
436, 442, 209, 221, 223, 225, 230,
237, 253, 264, 287, 310, 314, 332, 352, 373, 392]
sparse, teaching, topology design, training, weights, news design, niche, NMR, node partitioning, optical design, Zemax, optics, CAD, design, lters, lens design, telescopes, optimization,
[237] [320]
[227, 320]
[223, 310] [217]
[289] [135]
[119, 121]
[101] [396]
[250]
[198]
[147, 79] [44, 365]
[174]
[357] [61]
[137, 124,
196, 394, 97, 140, 160, 172, 178,
190, 163, 191, 192, 450, 451, 197, [221]
[29, 382]
[328, 330]
[247]
[76]
[151]
127, 10, 376]
optimization CAD, combinatorial, constrained, GA,
[46] [181]
[269]
[244]
22
Genetic algorithms and CAD
global, multiobjective, nesting, Pareto, placing, structural, parallel GA,
[217, 250]
discrete optimization in structural design, training neural networks, robotics, design, manipulator design, mobile, path planning, routing, [306]
[312, 69]
[310]
[422, 411, 48]
[401, 142, 100]
[353, 69, 377]
[312]
[58]
[81]
[242]
[23]
[105, 424,
434, 455, 91, 100, 444, 215, 217,
288, 293, 361, 368, 75, 486]
parallel GA adaptive, p4, workstation network, pattern recognition, PCB design, permutation crossover, physical chemistry, physics molecular, optics, particle, PLA, placement, planning electronics, population size, 10, 100, 20-60, 400, Probe-B Spacecraft, problem state assignment, process planning, production economics, protein folding, protein folding?, proteins, QSAR, QSPR, regression, review, designing neural networks,
[100]
[186, 449, 40,
309]
VLSI,
[384]
[413, 280,
308, 333]
[55]
[154]
[131]
[197]
[240]
[135]
[224]
[147, 396, 250]
[458, 461]
[207, 252]
[399]
[28]
[441]
wiring, rule based systems, fuzzy, rules, SAGA, SAT, scheduling, search fuzzy controlled, shape design,
[24]
[488]
[326, 485]
[158]
[263]
[101]
[444, 193]
[488]
[493, 495,
459, 460, 463, 464, 472, 473, 474,
476, 479, 483, 486, 489]
shape design 3D, signal processing lter design, hardware,
[482]
[406]
[354, 355,
380, 391]
[432]
simulated annealing,
[89]
[417, 130,
418, 152, 342]
[175]
[213]
[22]
[88]
[19]
[382]
[135, 370]
[220]
[224]
[271]
[271]
[271]
[421]
[310]
simulation
ow, software design, sonar active tracking, standard cells layout, standard-cell placement, statistical design, statistics responce surface, structural design, survey VLSI design, system design,
system identi cation, tabu search, telecommunications layout design, link speed design, network design, topology design, testing, text book VLSI design, tolerances, trac rail, trajectory design spacecraft, transportation network design, trusses, TSP,
[136]
[290]
[232] [402, 403]
[258, 361] [454]
[179, 254]
[338]
[132, 113]
[346]
[303]
[248] [11] [181, 444,
228, 244, 368]
tutorial CAD, lter design, UK Plymouth, VLSI,
[107] [439]
[166] [115, 154, 94,
155, 199, 14]
CAD, channel routing, design,
[176, 93]
[238, 57] [428, 413,
416, 444, 215, 218, 16, 228, 238,
252, 265, 279, 280, 283, 295, 297, 302, 62, 308, 322, 329, 333, 337, [76]
338, 339, 344, 345, 347, 350, 355, 70, 366, 371, 372, 378, 380, 381,
[205]
[52]
[278]
[345]
386, 388, 390, 391]
design?,
oorplanning, FPGA, high-level synthesis, layout design,
[342]
[350] [243, 280] [297]
[429, 448,
278, 384]
[383]
[304]
[425, 426]
[366]
macrocell layout, power optimization, routing, testing, VLSI design,
[128] [380, 391]
[111] [347]
[445,
446, 105, 109, 91, 182, 207, 211,
214, 229, 231, 240, 254, 257, 277, [369]
57, 327, 393, 368]
Subject index VLSI design cell placement, channel routing,
oorplan area, gate matrix layout, high level synthesis, high-level synthesis, macro cell layout,
23 macro cells, MCM, module orientation, optimization, partitioning, Reed-Muller expressions, [40]
[321]
[395, 226] [260]
[204] [193]
[285]
[263]
[311]
[245, 261]
[234]
[301]
[434,
31, 293]
[243]
VLSI design/Reed-Muller expressions, VLSI design?, wind turbines, [286]
[292]
[216,
251]
routing,
software, standard cell placement, standard-cell placement,
[294]
[59]
[110, 202]
24
Genetic algorithms and CAD
4.8 Annual index The following table gives references to the contributions published annually. 1963, 1971, 1973, 1982, 1985, 1986, 1987, 1988, 1989, 1990, 1991,
167, 439, 170, 493, 441, 442, 182, 183, 184, 444, 448, 186,
[405]
187, 449, 193, 452, 453, 194, 195, 454, 495, 199, 456, 200, [419]
201, 202, 457]
1994,
[420]
[406, 407]
218, 219, 16, 17, 220, 221, 222, 223, 18, 224, 225, 19, 226, 20, 227, 21, 228, 229, 230, 231, 232, 233, 22, 459, 234, 460,
[409, 410]
235, 236, 23, 237, 238, 239, 240, 241, 24, 242, 243, 25, 244, 26, 245, 27, 246, 247, 248, 249, 28, 29, 250, 251, 252, 253,
[414]
30, 254, 31, 32, 33, 255, 34, 35, 256, 36, 257, 258, 259, 260, 37, 261, 262, 263, 264, 38, 265, 39, 266, 267, 268, 40, 269,
[399, 402, 403, 427, 143]
[103, 104, 110, 198]
270, 271, 272, 273, 41, 274, 275, 276]
1995,
[96, 102, 111, 408, 421, 137, 428, 437,
296, 465, 297, 298, 53, 466, 467, 54, 55, 468, 56, 57, 299, 469, 300, 301, 302, 470, 58, 59, 303, 304, 305, 306, 471, 60,
[401, 119, 122, 124, 129, 417, 138, 429,
61, 307, 62, 472, 308, 309, 310, 63, 311, 312, 313, 314, 64,
171, 173, 175, 176, 443, 445, 446, 447, 196]
315, 316, 317, 318, 65, 319, 473, 320, 321, 322, 323, 324, 325, 474, 326, 327, 328, 475, 329, 330, 331, 332, 66, 333, 334, 476,
[87, 394, 93, 97, 398, 105, 108, 413,
335, 336, 337, 338, 339, 340, 341, 477, 342, 343, 344, 345,
117, 118, 120, 125, 128, 423, 424, 425, 426, 139, 140, 144,
[88, 107, 109, 115, 121, 126, 416, 130,
346, 347, 348, 349, 478, 479, 350, 67, 351, 480, 352, 393]
1996,
418, 131, 422, 132, 133, 141, 142, 430, 147, 152, 153, 433,
[481, 353, 354, 68, 355, 69, 356, 70, 357, 71, 358, 359, 360, 361, 362, 363, 72, 364, 73, 74, 365, 366, 367, 368, 369, 75, 482, 483, 484, 370, 76, 371, 77, 372,
154, 156, 435, 158, 161, 163, 169, 494, 174, 177, 179, 189,
373, 485, 374, 78, 375, 79, 376, 377, 80, 378, 379, 380, 81,
191, 192, 450, 451, 197]
1993,
[277, 278, 279, 42, 280, 281, 461, 282, 43, 283, 44, 284, 285, 286, 462, 45, 287, 288, 46, 289, 47, 290, 463, 48, 291, 49, 292, 50, 293, 51, 294, 464, 295, 52,
440, 180]
145, 434, 160, 168, 172, 178, 181, 185, 188, 190, 455]
1992,
[204, 205, 206, 207, 208, 209, 9, 210, 10, 211, 212, 458, 11, 213, 214, 12, 215, 216, 13, 217, 14, 15,
486, 82, 381, 382, 487, 83, 84, 383, 85, 384, 488, 385, 489, 386, 490, 387, 388, 389, 86, 390, 491, 391, 492]
[203, 89, 90, 91, 395, 92, 94, 396, 95, 397, 98, 99, 100, 101, 106, 400, 404, 411, 112, 412, 113, 114, 116, 415, 123, 127, 134, 135, 136, 431, 146, 432, 148, 149, 150, 151, 155, 436, 157, 159, 162, 164, 165, 166, 438,
1997,
[392]
Geographical index
25
4.9 Geographical index The following table gives references to the contributions by country.
Australia: [452, 13, 222, 20, 34, 284, 297, 330, 352] Austria: [120, 121, 149] Azerbaithzan: [60] Canada: [437, 160, 162, 182, 193, 195, 226, 278, 309, 313, 336] Chile: [287] Czech Republic: [119, 120, 121, 58, 368] Denmark: [109, 216, 263, 40] Finland: [203, 35, 471, 320, 478, 351, 480, 481, 73, 489] France: [423, 100, 264, 466, 470] Germany (including former DDR): [419, 420, 143, 129, 93, 128, 115, 430, 444, 209, 216, 15, 242, 251, 253, 286, 293, 310, 65, 70, 71, 358, 77, 372, 374, 81, 83, 384, 387, 392] Greece: [292] Holland: [147, 208, 50, 66, 365] Hong Kong: [450, 451, 304, 383] Hungary: [151, 256] India: [175, 395, 101, 204, 211, 241, 254, 31, 293, 295, 340] Israel: [401, 51] Italy: [413, 121, 493, 458, 227, 461, 283, 288, 467, 468, 311, 476, 335, 479, 75, 486] Japan: [417, 93, 130, 158, 411, 112, 123, 159, 186, 187, 449, 495, 200, 201, 16, 21, 238, 24, 249, 28, 29, 32, 36, 37, 38, 39, 281, 290, 463, 465, 472, 317, 319, 321, 324, 474, 327, 331, 348, 357, 361] Kuwait: [285, 347, 393] Mexico: [61] P. R. of China: [225, 346]
Poland: [332] Russia: [80] Saudi Arabia: [207, 252, 301, 338, 345, 350] Singapore: [326, 485, 488] Slovenia: [314] South Korea: [179, 308, 362, 76, 78] Sweden: [89, 90] Switzerland: [89, 375, 385] Taiwan R.o.C.: [194, 202, 10, 224, 234, 27, 280] Turkey: [232] Ukraina: [279, 373] United Kingdom: [426, 168, 422, 153, 156, 435, 163, 169, 98, 99, 412, 431, 436, 164, 165, 166, 438, 167, 170, 441, 9, 17, 233, 460, 236, 239, 243, 244, 247, 33, 255, 259, 266, 268, 269, 272, 274, 275, 276, 42, 462, 289, 47, 48, 52, 296, 298, 53, 54, 56, 299, 302, 63, 64, 316, 323, 325, 334, 354, 68, 355, 69, 360, 72, 364, 367, 369, 378, 379, 380, 487, 386, 490, 389, 86, 390, 491, 391, 492]
United States: [414, 399, 402, 403, 427, 103, 104, 137, 428, 180, 138, 429, 171, 173, 176, 443, 445, 446, 447, 87, 105, 117, 118, 139, 140, 144, 145, 434, 178, 181, 185, 455, 88, 107, 416, 131, 132, 141, 154, 174, 177, 95, 397, 106, 404, 112, 113, 114, 415, 134, 135, 146, 155, 442, 183, 184, 448, 453, 454, 456, 457, 205, 206, 210, 212, 11, 213, 214, 12, 215, 217, 14, 218, 219, 221, 19, 228, 229, 230, 231, 22, 235, 23, 237, 240, 25, 26, 245, 246, 248, 30, 257, 258, 260, 261, 262, 264, 265, 267, 270, 271, 273, 41, 277, 282, 43, 44, 285, 45, 46, 294, 464, 55, 57, 469, 59, 303, 305, 306, 307, 312, 315, 318, 473, 328, 329, 333, 337, 339, 341, 477, 342, 343, 344, 349, 67, 353, 356, 359, 363, 74, 366, 482, 370, 376, 377, 381, 382, 84, 388] Unknown country: [150]
Yugoslavia: [79]
26
Genetic algorithms and CAD
Chapter 5
Permuted title index The words of the titles of the articles are shown in the next table arranged in alphabetical order. The most common words have been excluded. The key word is shown by a disk () in the title eld with the exception that it is omitted when appearing as the rst word of the title after shown keyword. The other abbreviation used to compress titles are shown in appendix A. [157] absorbers Design of lightweight, broad-band microwave using GAs [370] Abstract Appl. of GAs to de novo design of therapeutic peptides of a poster] [26] Abstract Multidisciplinary design opt. using GAs only] [458] acceleratori Ottimizzazione di cavita RF per di particelle [86] across The development of a dual-agent strategy for ef cient search whole syst. eng. design hierarchies [273] actinomycin Computer-assisted drug design: GAs and structures of molecular clusters of aromatic hydrocarbons and D-deoxyguanosine [392] activation Using gen. eng. to nd modular structures and functions for architectures of arti cial neural networks [52] active The design of sonar plot-association gates using a GA [178] actively Opt. placement of actuators in cntr. structures using GAs [112] actuators GAs for placing on space structures [178] { Opt. placement of in actively cntr. structures using GAs [407] adaptive A survey of IIR ltering alg. [292] { An GA for VLSI circuit partitioning [384] { An par. GA for VLSI-layout opt. [139] { Design of and fuzzy logic cntr. using a GA [389] { Evolving computer syst. [414] { Experimentation with an search strategy for solving a key-board design/con guring problem [360] { Form/function/cost tradeos through search [152] { Gen. and annealing appr. to digital ltering [153] { Gen. and learning automata alg. for lter design [185] { Macro-cell and module placement by gen. search with bitmap-represented chromosome [34, 150] design using a GA [217] global opt. with local search [259] search and eng. design [369] search strategies to maintain diverse global search for preliminary and whole syst. design [275] search techniques for decision support during preliminary eng. design [274] search tools and their integration with eng. design [374] { Partial automated design opt. based on search techniques [406] { Recursive lter design using an GA [233] { The impl. of search tools to promote global search in eng. design [266] { The integration of search with current eng. design practice [190] adaptive-coding A multi-stage GA for design appl. [209] adaptively Designing neural networks by building blocks in cascades [472, 331] aerodynamic Appl. of GA to shape opt. [465] { GA for inverse opt. problem
[459, 335] { GAs appl. to the design of transonic airfoils [467] { Hybrid GA for multi objective shape opt. [486] { Investigating a par. breeder GA on the inverse design [493] shape opt. by means of a GA [476] shape opt. by means of hybrid GA [75] { Par. isation of GA for design opt. [466] { Robust GAs for opt. problems in design [84] aerospace GA opt. for electromagnetic design and analysis [46] { New appr. to opt. in conceptual design [317] aesthetic Appl. of GA to design of bridge structures [96] Aircraft A Comparative Evaluation of Search Methods Appl. to Parametric Design of [97] { GAs in Parametric Design of [288] airfoil A par. GA for transonic opt. [471] { The reconstruction of an in 2D potential ow using a GA on a par. computer [479] { Transonic design by means of a GA [459, 335] airfoils GAs appl. to the aerodynamic design of transonic [359] { Navier-Stokes/gen. opt. of multi-element [137] air-injected Analysis and opt. of an hydrocyclone [138] { Chapter 29, Gen. alg. based design of an hydrocyclone [107] { Chuck Karr and the design of an hydrocyclone [41] { Design of an hydrocyclone using a GA [140] Air-Injected Hydrocyclone Opt. via GA [25] algebraic GAs versus simulated annealing { satisfaction of large sets of mechanical design constraints [295] algorithm-based A gen. circuit partitioner for MCMs [135] { A gen. method for docking exible molecules [382] { Gen. appr. to cell composition and layout design problems [212] { Gen. structural topology design with compliance and manufacturability considerations [320] algorithmit Geneettiset neuroverkkojen opetuksessa ja rakenteen suunnittelussa [159] allocation Appl. of a GA to meter in electric power syst. [322] { High-level synthesis sch. and using GAs [241] { Inspection in manufacturing syst. : A GA appr. [393] { Integrated sch. , and module sel. for design-space exploration in high-level synthesis [113] allotment Opt. tolerance using a GA and truncated Monte-Carlo simulation [176] Analog component placement by GAs | part I: Partitioning [290] { Polycell placement for LSI chip designs by GAs and tabu search [177] Analogue placement by formulation of macrocomponents and gen. partitioning [66] analogue circuit DARWIN: synthesis based on GAs
27
28 [84] analysis GA opt. for aerospace electromagnetic design and [137] and opt. of an air-injected hydrocyclone [152] annealing Gen. and appr. to adaptive digital ltering [309] { Opt. feeder routing and opt. substation sizing and placement using guided evol. simulated [455] { Stepwise-overlapped par. and its appl. to oorplan design [224] { Using an GA to solve global energy minimization problem in molecular binding [303] appearing GA appr. for opt. cntr. problems with linearly controls [337] application A gen. appr. to test time reduction for full scan circuits [142] { A Multi-Pop. GA and its to Design of Manipulators [28] { A study on of GA to automatic placement of parts on printed circuit boards [197] { An of GAs to solve the layer assignment problem in multi chip modules [230] { Evol. design of tailored neural networks [165] { Evol. techniques and their to eng. design [211] { GA for embedding a complete graph in a hypercube with a VLSI [159] of a GA to meter allocation in electric power syst. [59] of a GA to wind turbine design [437] of GAs to the keyboard opt. problem [304] of GA for responce surface modeling in opt. statistical design [206] of GA for the support location opt. of beams [317] of GA to aesthetic design of bridge structures [324] of GA to design of arti cial ground [332] of GA to neural networks design [296] of GAs in sliding mode design [370] of GAs to de novo design of therapeutic peptides [Abstract of a poster] [87] of gen. based alg. to opt. capacitor placement [279] of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area method [123] of the GA to easthetic design of dam structures [263] { SAGA: a uni cation of the GA with simulated annealing and its to macro-cell placement [367] { Spacial reasoning with GAs, An in planning of safe liquid petroleum gas site [455] { Stepwise-overlapped par. annealing and its to
oorplan design [191] applications A GA for mixed-parameter design [190] { A multi-stage adaptive-coding GA for design [134] { Design of GAs [101] { GA for node partitioning problem and in VLSI design [468] { GAs in computational uid dynamics [472, 331] of GA to aerodynamic shape opt. [429] { Opt. by simulated evol. with to standard cell placement [487] { Two of GAs to component design [435, 436] application-speci c Designing neural networks using the structured GA [314] { Evol. design of neural networks: A gen. appr. [96] Applied A Comparative Evaluation of Search Methods to Parametric Design of Aircraft [453] { GA opt. to variations of the unequal area facilities layout problem [47] { GA to radiotherapy treatment planning [459, 335] { GAs to the aerodynamic design of transonic airfoils [366] { GAs to the physical design of VLSI circuits: A survey [423] { Gen. prog. to neural network design [294] { The GA to gate sizing [88] Applying GAs to the state assignment problem: a case study [193] simulated evol. to high level synthesis [166] the GA to design problems: Progress at the Plymouth Eng. Design Center [376] { Selecting and distribution opt. methods [132] approximated Tolerance opt. using GA and simulation [271] approximation Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function [200] { Polygonal of closed curve by GA [164] arch The concrete dam, An evol. model of the design process [289] Architects build on Darwin
Genetic algorithms and CAD architecture-altering Use of automatically de ned functions and operations in automated circuit synthesis using gen. prog. [392] architectures Using gen. eng. to nd modular structures and activation functions for of arti cial neural networks [235] area A GA for oorplan opt. [279] { Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning method [260] { Floorplan opt. using GAs [453] { GA opt. appl. to variations of the unequal facilities layout problem [62] { Perf. and opt. of VLSI syst. using GAs [344] { Perf. and opt. of VLSI syst. using GAs [312] arm Multiobjective design opt. of counterweight balancing of a robot using GAs [273] aromatic Computer-assisted drug design: GAs and structures of molecular clusters of hydrocarbons and actinomycin D-deoxyguanosine [352] arti cial A preliminary study on designing neural networks using co-evol. [324] { Appl. of GA to design of ground [72] { Encoding scheme issues for open-ended evol. [392] { Using gen. eng. to nd modular structures and activation functions for architectures of neural networks [122] arti cial intelligence Turbine preliminary design using and numerical opt. [180] ASIC An evol. -based appr. to partitioning syst. [115] assembly Chip in the PLAYOUT VLSI design syst. [197] assignment An appl. of GAs to solve the layer problem in multi chip modules [88] { Applying GAs to the state problem: a case study [277] { Designing GAs for the state problem [261] { MCM layer using gen. search [231] { State for low-power FSM synthesis using gen. local search [408] assistance Knowledge based of gen. search in large design space [218] associative memories Modular scheme for designing special purpose and beyond [61] astronomical Design of telescopes of two mirrors using GA in the stage of opt. [449] attempt An to solve channel routing using GA [430] Auslegung eines Rechnernetzwerkes mit minimalem Kommunikationsaufwand mittels evol. arer Algorithmen [153] automata Gen. and learning alg. for adaptive lter design [36] automated Evol. hardware design syst. with HDL [364] design knowledge [74] WYSIWYG design of both the topology and component values of electrical circuits using gen. prog. [374] { Partial design opt. based on adaptive search techniques [21] { Production GAs for hardware design through an evol. process [85] { Use of automatically de ned functions and architecture-altering operations in circuit synthesis using gen. prog. [43] { Using GAs as an methodology for conceptual design of rotorcraft [28] automatic A study on appl. of GA to placement of parts on printed circuit boards [24] { An evol. method for wire routing [264] de nition of modular neural networks [15] design of hierarchical fuzzy cntr. using GAs [39] hardware design with an evol. process [85] automatically Use of de ned functions and architecture-altering operations in automated circuit synthesis using gen. prog. [18] Automating the layout of network diagrams with speci ed visual organization [372] automation A GA for VLSI physical design [371, 338] { VLSI Physical Design Theory and Practice [77] back propagation Usage of networks in a CAD/CAM syst. [312] balancing Multiobjective design opt. of counterweight of a robot arm using GAs [279] basis Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the of scanning area method [240] beam Gen. search for gate matrix layout [448] beam search Gen. for gate matrix layout [206] beams Appl. of GA for the support location opt. of [318] behavior Human computation, and the design of manufacturing syst.
[85]
Permuted title index [444] Beitrage Massiv par. e genetische Algorithmen, zum Tag der Informatik Erlangen 1993 [253] binary Evol. structuring of neural networks by solving a problem [224] binding Using an annealing GA to solve global energy minimization problem in molecular [316] Biodiversity in design via Internet [420] biological Opt. of the layout of trusses combining strategies based on Mitchell's theorem and on the principles of evol. [133] Biomorphs Designing with an Interactive GA [185] bitmap-represented Macro-cell and module placement by gen. adaptive search with chromosome [417, 418] Block placement by improved simulated annealing based on GA [209] blocks Designing neural networks by adaptively building in cascades [329] Boolean Improved technology mapping using a new appr. to matching [17] Boolean functions Using a GA for opt. zed polarity Reed-Muller expansions of [284] branched Evol. prog. for design of rectilinear networks [486] breeder Investigating a par. GA on the inverse aerodynamic design [317] bridge Appl. of GA to aesthetic design of structures [157] broad-band Design of lightweight, microwave absorbers using GAs [415] brothers The Wright GAs, and the design of complex syst. [78] brushless Opt. pole shape design for the reduction of cogging torque of DC motor using ES [195] cache A novel methodology using GAs for the design of caches and replacement policy [195] caches A novel methodology using GAs for the design of and cache replacement policy [77] CAD/CAM Usage of back propagation networks in a syst. [481] cam Improving design of shape used in valvetrain of internal-combustion engine using a GA [480] camshaft Shape opt. of diesel engine by GA [87] capacitor Appl. of gen. based alg. to opt. placement [95] capasitor Opt. placement in distribution syst. by GA [179] capasitor-driven Opt. design of coil gun [209] cascades Designing neural networks by adaptively building blocks in [64] cases Evolving design [458] cavita Ottimizzazione di RF per acceleratori di particelle [461] cavity Headway in design through GAs [109] cell A GA for macro placement [445] { A Gen. Appr. to Standard Placement Using MetaGenetic Parameter Opt. [382] { GA-based appr. to composition and layout design problems [328] { Manufacturing design using an integer-based GA [321] placement by GA [429] { Opt. by simulated evol. with appl. to standard placement [427] { Esp: A new standard placement package using simulated evol. [447] { Gasp - a GA for standard placement [446] { Standard Placement and the GA [94] { Standard Routing Opt. Using A GA [154, 155] { Wolverines: standard placement on a network of workstations [390] cell-based Structural synthesis of VLSI circuits using a multi-objective geentic alg. [386] { Structural synthesis of VLSI circuits using a multiobjective GA [378] { Structural VLSI circuit design using a GA [330] Cell-formation using GAs [166] Center Applying the GA to design problems: Progress at the Plymouth Eng. Design [271] Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [308] channel Genrouter: a GA for routing-problems [238] { Modi ed gen. router [186] channel routing An appr. to using GA [449] { An attempt to solve using GA [57] { An extended EP alg. for VLSI [395] { Extended distr. GA for [91] { Par. GA for
29 [187] [226] [271]
{ Restrictive with evol. prog. channel routing problem New GA for the Chapter Cerius2 Release 1.6, Drug Discovery
Workbench QSAR+ User's Reference, 16: Introduction to gen. function approximation [491] 12. The Evol. of Solid Object Designs using GAs [138] 29, Gen. alg. based design of an air-injected hydrocyclone [265] chennel routing A GA for in VLSI circuits [197] chip An appl. of GAs to solve the layer assignment problem in multi modules [115] assembly in the PLAYOUT VLSI design syst. [129] Chip-Assembly Strategien bei der Layout-Synthese nach Floorplan-Vorgaben [185] chromosome Macro-cell and module placement by gen. adaptive search with bitmap-represented [107] Chuck Karr and the design of an air-injected hydrocyclone [295] circuit A GA-based partitioner for MCMs [292] { An adaptive GA for VLSI partitioning [203] { GA ja piirisimulointi [GA and simulation] [93] { GAs and VLSI design [214] synthesis through gen. prog. [278] { Towards opt. layout using advanced search techniques [85] { Use of automatically de ned functions and architecture-altering operations in automated synthesis using gen. prog. [215] { VLSI synthesis using a par. GA [337] circuits A gen. appr. to test appl. time reduction for full scan [74] { Automated WYSIWYG design of both the topology and component values of electrical using gen. prog. [14] { GA based design opt. of CMOS VLSI [182] { GAs for the opt. of integrated synthesis [354] { Gen. synthesis techniques for low-power digital signal processing [391] { Gen. synthesis techniques for low-power digital signal processing [276, 167] civil The GA and eng. design [79] classical Comparison of the dumped least squares and GA in the opt. of the doublet [210] Classi er design using EP [482] classi er system A learning for three-dimensional shape opt. [483] { Three-dimensional shape opt. utilizing a learning [469] Classi er System Zeroth-Order Shape Opt. Utilizing a Learning [494] classi er systems Learning in design opt. [200] closed Polygonal approximation of curve by GA [362] { Shape opt. of slot type permanent magnet motors for cogging torque reduction using ES [327] cluster Design of a compact structure by using GAs [273] clusters Computer-assisted drug design: GAs and structures of molecular of aromatic hydrocarbons and actinomycin D-deoxyguanosine [50] CMOS DARWIN: opamp synthesis by means of a GA [14] { GA based design opt. of VLSI circuits [174] coded Opt. multilayer lter design using real GAs [311] codesign Soft computing appr. to hardware software [255] coding Context dependent in GAs for the design of fuzzy syst. [229] { Pioneer: A new tool for of multi-level nite state machines based on evol. prog. [99] coecients Multiplier-less FIR lter design with power-of-two [352] co-evolution A preliminary study on designing arti cial neural networks using [323] Coevolution syst. for economic design [78] cogging Opt. pole shape design for the reduction of torque of brushless DC motor using ES [362] { Shape opt. of closed slot type permanent magnet motors for torque reduction using ES [179] coil Opt. design of capasitor-driven gun [463, 474] column Proposal of constructive alg. and discrete shape design of the strongest [181] Combinatorial opt. by stochastic evol. [305] { Using a GA to suggest libraries [420] combining Opt. of the layout of trusses strategies based on Mitchell's theorem and on the biological principles of evol. [403] communication GAs and link speed design: constraints and operators [402] { GAs and link speed design: theoretical considerations
30 [454] { The design of a multipoint line topology for a network using GAs [361] communication netwodk A distr. GA over a transputer based par. machine for survivable Design [327] compact Design of a cluster structure by using GAs [409] Compaction of symbolic layout using GAs [96] Comparative A Evaluation of Search Methods Appl. to Parametric Design of Aircraft [315] comparison A study of GAs in feedback cntr. design [120] of dierent opt. strategies in the design of electromagnetic devices [188] of global search methods for design opt. using simulation [79] of the classical dumped least squares and GA in the opt. of the doublet [211] complete GA for embedding a graph in a hypercube with a VLSI appl. [415] complex The Wright brothers, GAs, and the design of syst. [212] compliance GA-based structural topology design with and manufacturability considerations [176] component Analog placement by GAs | part I: Partitioning [74] { Automated WYSIWYG design of both the topology and values of electrical circuits using gen. prog. [397] sel. opt. using GAs [487] { Two Appl. of GAs to design [27] composite Gate location opt. in liquid moulding using GAs [55] { Using GAs to design laminated structures [382] composition GA-based appr. to cell and layout design problems [54] computation Gen. of geodesics on three-dimensional curved surfaces [318] { Human behavior, and the design of manufacturing syst. [468] computational GAs appl. in uid dynamics [117, 118] { GAs as a theory of conceptual design [146] { GAs as a tool for design [121] { Global opt. methods for electromagnetics [131] computer-aided Neural network and gen. learning alg. for design and pattern recognition [81] Computer-aided Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en design of manipulators with GAs] [198] computer-aided Some remarks on design of optical lens syst. [60] { Use of gen. and neural technologies in oil equipment design [143] Computer-Algorithmen Entwicklung von zur Opt. von Strukturkomponenten nach der Evol. stheorie [273] Computer-assisted drug design: GAs and structures of molecular clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine [232] concentrator Solving location-problems using GAs [80] conceptual GA in the role of a shell for structural evol. simulation at the design stage [117, 118] { GAs as a computational theory of design [46] { New appr. to opt. in aerospace design [492] evol. design by GAs [12, 106] { The potential of GAs for design of rotor syst. [349] { Toward a mechanics of machines [43] { Using GAs as an automated methodology for design of rotorcraft [164] concrete The arch dam, An evol. model of the design process [29] concurrent Evol. al opt. of product design based on processing of design and manufacturing info [33] { Framework of design environment [282] concurrent engineering A constraint-based GA for [76] conditions Opt. of injection molding using GA [102] Con guration A GA Appr. to the of Stack Filters [23] { A gen. methodology for design [242] { Opt. based using evol. alg. [400] { Solving xed problems with gen. search [9] Constrained gas network pipe sizing with GAs [269] { The development of a directed gen. search technique for heavily design spaces [379] constraint An immune network model for satisfaction in eng. design [53] constraint problems Use of fuzzy logic to overcome in GAs [282] constraint-based A GA for concurrent eng. [403] constraints GAs and communication link speed design: and operators
Genetic algorithms and CAD [25] { GAs versus simulated annealing { satisfaction of large sets of algebraic mechanical design [82] construction A GA for the of small and highly testable OKFDD circuits [463, 474] constructive Proposal of alg. and discrete shape design of the strongest column [356] contact Solving pattern nesting problems with GAs employing task decomposition and detection [255] Context dependent coding in GAs for the design of fuzzy syst. [442] contiguity Evol. network design & the problem [456] continuous GA with qqualitative knowledge enchancement for layout design under space formulation [127] Control Locating Pressure Elements for Leakage Minimization in Water Supply Networks by GAs [221] { Neural-network designs with gen. learning for of a single link exible manipulator [488] controlled Fuzzy GA search for shape opt. [178] { Opt. placement of actuators in actively structures using GAs [315] controller A comparison study of GAs in feedback design [139] { Design of and adaptive fuzzy logic using a GA [69] { Multiobjective gas turbine engine design using GAs [303] controls GA appr. for opt. cntr. problems with linearly appearing [312] counterweight Multiobjective design opt. of balancing of a robot arm using GAs [20] Creative design using a GA [183] criterion Model-based matching using a minimum Rep. size and a hybrid GA [222] crossover operations Study of gen. on the facilities layout problem [462] Cross-sectional and geometrical shape opt. by means of GA [266] current The integration of adaptive search with eng. design practice [256] curve GAs in free-form design [200] { Polygonal approximation of closed by GA [54] curved Gen. computation of geodesics on threedimensional surfaces [123] dam Appl. of the GA to easthetic design of structures [164] { The concrete arch An evol. model of the design process [289] Darwin Architects build on [66] DARWIN analogue circuit synthesis based on GAs [50] CMOS opamp synthesis by means of a GA [270] database A nested GA for distr. design [208] { GAs for opt. logical design [285] Datapath synthesis using a problem-space GA [78] DC motor Opt. pole shape design for the reduction of cogging torque of brushless using ES [273] D-deoxyguanosine Computer-assisted drug design: GAs and structures of molecular clusters of aromatic hydrocarbons and actinomycin [275] decision Adaptive search techniques for support during preliminary eng. design [207] decoder GAP: a GA appr. to optimize two-bit PLAs [363] decomposition GA's in based design - Subsyst. interactions through immune network simulation [356] { Solving pattern nesting problems with GAs employing task and contact detection [85] de ned Use of automatically functions and architecture-altering operations in automated circuit synthesis using gen. prog. [264] de nition Automatic of modular neural networks [108] delegation Evol. inheritance and as mechanisms in knowledge prog. for eng. product design [248] Demand/supply relationship in transportation network design problems: A GA appr. [370] de novo design Appl. of GAs to of therapeutic peptides [Abstract of a poster] [255] dependent Context coding in GAs for the design of fuzzy syst. [96] Design A Comparative Evaluation of Search Methods Appl. to Parametric of Aircraft [315] { A comparison study of GAs in feedback cntr. [361] { A distr. GA over a transputer based par. machine for survivable communication netwodk [398] { A GA Appr. to Visual Model-based Half-tone Pattern [170] { A GA based preliminary syst. [191] { A GA for mixed-parameter appl. [404] { A GA for survivable network [372] { A GA for VLSI physical automation
Permuted title index [394] { A GAic framework for process and opt. [23] { A gen. methodology for con guration [142] { A Multi-Pop. GA and its Appl. to of Manipulators [190] { A multi-stage adaptive-coding GA for appl. [270] { A nested GA for distr. database [195] { A novel methodology using GAs for the of caches and cache replacement policy [116] { A role for GAs in a preliminary environment [495] { A study on gen. shape [259] { Adaptive search and eng. [369] { Adaptive search strategies to maintain diverse global search for preliminary and whole syst. [275] { Adaptive search techniques for decision support during preliminary eng. [274] { Adaptive search tools and their integration with eng. [34, 150] { Adaptive using a GA [258] { An appr. to a problem in network using GAs [401] { An evol. standing on the of redundant manipulators [71] { An evol. alg. for opt. of microsyst. [300] { An evol. model for non-routine [357] { An evol. for f ? lenses [268] { An experimental perspective on GAs [168] { An expert syst. for ergonomic workplace using a GA [379] { An immune network model for constraint satisfaction in eng. [59] { Appl. of a GA to wind turbine [304] { Appl. of GA for responce surface modeling in opt. statistical [317] { Appl. of GA to aesthetic of bridge structures [332] { Appl. of GA to neural networks [324] { Appl. of GA to of arti cial ground [296] { Appl. of GAs in sliding mode [123] { Appl. of the GA to easthetic of dam structures [166] Design Applying the GA to design problems: Progress at the Plymouth Eng. Center [166] design Applying the GA to problems: Progress at the Plymouth Eng. Design Center [364] { Automated knowledge [74] { Automated WYSIWYG of both the topology and component values of electrical circuits using gen. prog. [39] { Automatic hardware with an evol. process [15] { Automatic of hierarchical fuzzy cntr. using GAs [316] { Biodiversity in via Internet [138] { Chapter 29, Gen. alg. based of an air-injected hydrocyclone [115] { Chip assembly in the PLAYOUT VLSI syst. [107] { Chuck Karr and the of an air-injected hydrocyclone [210] { Classi er using EP [323] { Coevol. syst. for economic [120] { Comparison of dierent opt. strategies in the of electromagnetic devices [188] { Comparison of global search methods for opt. using simulation [175] { Computer aided opt. of structural syst. using GAs [492] { Conceptual evol. by GAs [255] { Context dependent coding in GAs for the of fuzzy syst. [20] { Creative using a GA [248] { Demand/supply relationship in transportation network problems: A GA appr. [145] { Designer GAs: Gen. Alg. in Structure [336] { Developing an integrated framework for the of manufacturing syst. using the gen. recombination technique [63] { Developments in the use of the GA in eng. [105] { Distr. GAs for the oorplan problem [114] { Distribution-syst. harmonic worst-case using a GA [334] { Diverse evol. search for preliminary whole syst. [440] { EnGENEous domain independent, machine learning for opt. [171] { EnGENous: a uni ed appr. to opt. [284] { Evol. prog. for of rectilinear branched networks [29] { Evol. al opt. of product based on concurrent processing of and manufacturing info [310] { Evol. alg. in neural network and training { A review [36] { Evol. automated hardware syst. with HDL [325] { Evol. case based [438] { Evol. eng. using the GA [108] { Evol. inheritance and delegation as mechanisms in knowledge prog. for eng. product [13] { Evol. learning of novel grammars for improvement [442] { Evol. network & the contiguity problem [165] { Evol. techniques and their appl. to eng. [412] { Evol. for the opt. layout of tree networks [230] { Evol. of appl. tailored neural networks
31 [314] { Evol. of appl. -speci c neural networks: A gen. appr. [307] { Evol. of molecules with desired properties using the GA [64] { Evolving cases [19] { Feature sequencing in the Rapid Syst. using a GA [103, 104] { Floorplan using distr. GAs [33] { Framework of concurrent environment [73] { Fuzzy tness function for electric machine by GA [363] { GA's in decomposition based - Subsyst. interactions through immune network simulation [490] { Generic Evol. of Solid Objects using a GA [14] { GA based opt. of CMOS VLSI circuits [67] { GA for distr. syst. topology [101] { GA for node partitioning problem and appl. in VLSI [51] { GA for open-loop distribution syst. [80] { GA in the role of a shell for structural evol. simulation at the conceptual stage [189] { GA in the of FIR lters [84] { GA opt. for aerospace electromagnetic and analysis [30] { GA techniques for 3-valued transistor [456] { GA with qqualitative knowledge enchancement for layout under continuous space formulation [212] { GA-based structural topology with compliance and manufacturability considerations [403] { GAs and communication link speed constraints and operators [402] { GAs and communication link speed theoretical considerations [93] { GAs and VLSI circuit [459, 335] { GAs appl. to the aerodynamic of transonic airfoils [366] { GAs appl. to the physical of VLSI circuits: A survey [117, 118] { GAs as a computational theory of conceptual [146] { GAs as a computational tool for [208] { GAs for opt. logical database [450] { GAs, function opt. , and facility [256] { GAs in free-form curve [89] { GAs in industrial [473] { GAs in multidisciplinary rotor blade [147] { GAs in optical [97] { GAs in Parametric of Aircraft [477] { GAs in the opt. of electromagnetic devices [25] { GAs versus simulated annealing { satisfaction of large sets of algebraic mechanical constraints [153] { Gen. and learning automata alg. for adaptive lter [98] { Gen. appr. to of multiplierless FIR lters [281] { Gen. search for facility layout under inter ows uncertainty [125] { Gen. search strategies in multicriterion opt. [267] { Gen. of dynamically opt. four-bar linkages [237] { Gen. of sparse feedforward neural networks [302] { Gen. of VLSI-layouts [423] { Gen. prog. appl. to neural network [461] { Headway in cavity through GAs [318] { Human behavior, computation, and the of manufacturing syst. [481] { Improving of cam shape used in valvetrain of internalcombustion engine using a GA [432] { Integrating stages of fuzzy syst. using GA [358] { Interactive evol. in eng. [65] { Interactive evol. alg. in [172] { Interdigitation: A Hybrid Technique for Eng. Opt. Employing GAs, Expert Syst. , and Numerical Optimization [173] { Inter-GEN: A hybrid appr. to eng. opt. [486] { Investigating a par. breeder GA on the inverse aerodynamic [408] { Knowledge based assistance of gen. search in large space [494] { Learning classi er syst. in opt. [328] { Manufacturing cell using an integer-based GA [381] { MCM/IC timing-driven placement alg. featuring explicit space exploration [26] { Multidisciplinary opt. using GAs [Abstract only] [69] { Multiobjective gas turbine engine cntr. using GAs [312] { Multiobjective opt. of counterweight balancing of a robot arm using GAs [99] { Multiplier-less FIR lter with power-of-two coef cients [131] { Neural network and gen. learning alg. for computeraided and pattern recognition [422] { New appr. for the nesting of two-dimensional shapes for press tool [46] { New appr. to opt. in aerospace conceptual [134] appl. of GAs [405] by nat. sel.
32 [225] neural networks with GAs for fault section estimation [327] of a compact cluster structure by using GAs [41] of an air-injected hydrocyclone using a GA [139] of and adaptive fuzzy logic cntr. using a GA [61] of astronomical telescopes of two mirrors using GA in the stage of opt. [148] of Digital Filters with Evol. Alg. [239] of HDL prog. for digital-syst. using GAs [157] of lightweight, broad-band microwave absorbers using GAs [10] opt. with advanced gen. search strategies [388] space exploration using the GA [35] { Non-linear lter using GA [396] { [Optical [365] { Optical with the aid of a GA [119] { Opt. magnet for NMR [174] { Opt. multilayer lter using real coded GAs [78] { Opt. pole shape for the reduction of cogging torque of brushless DC motor using ES [162] { Opt. sizing, geometrical and topological using a GA [219] { Opt. tolerancing: the link between and manufacturing productivity [179] { Opt. of capasitor-driven coil gun [194] { Opt. of machine elements using GAs [68] { Overview of a generic evol. syst. [383] { Par. opt. statistical method based on GA [75] { Par. isation of GA for aerodynamic opt. [374] { Partial automated opt. based on adaptive search techniques [21] { Production GAs for automated hardware through an evol. process [463, 474] { Proposal of constructive alg. and discrete shape of the strongest column [81] { Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en [Computer-aided of manipulators with GAs] [406] { Recursive adaptive lter using an adaptive GA [466] { Robust GAs for opt. problems in aerodynamic [198] { Some remarks on computer-aided of optical lens syst. [455] { Stepwise-overlapped par. annealing and its appl. to
oorplan [378] { Structural cell-based VLSI circuit using a GA [22] { Syst. under uncertainty: Evol. opt. of the gravity probe-B spacecraft [272] { Techniques to aid global search in eng. [164] { The concrete arch dam, An evol. model of the process [269] { The development of a directed gen. search technique for heavily constrained spaces [86] { The development of a dual-agent strategy for ecient search across whole syst. eng. hierarchies [276, 167] { The GA and civil eng. [233] { The impl. of adaptive search tools to promote global search in eng. [266] { The integration of adaptive search with current eng. practice [12, 106] { The potential of GAs for conceptual of rotor syst. [464] { The potential of GAs for subsonic wing [42] { The table: An illustration of evol. using GAs [141] { The use of a GA for minimum length nozzle - A process overview [460] { The use of GAs in shape opt. [454] { The of a multipoint line topology for a communication network using GAs [52] { The of active sonar plot-association gates using a GA [415] { The Wright brothers, GAs, and the of complex syst. [479] { Transonic airfoil by means of a GA [122] { Turbine preliminary using arti cial intelligence and numerical opt. [90] { Turbine preliminary using GAs [487] { Two Appl. of GAs to component [249] { Uni ed multidisciplinary optimum method using GAs [60] { Use of gen. and neural technologies in oil equipment computer-aided [43] { Using GAs as an automated methodology for conceptual of rotorcraft [11] { Using GAs for opt. of trusses [55] { Using GAs to laminated composite structures [144] { Using GAs to structures [353] { Using Pareto GA for preliminary subsonic wing [371] { VLSI Physical Automation, Theory and Practice [338] { VLSI Physical Automaton: Theory and Practice [421] { Why nature knows best about [414] design/con guring Experimentation with an adaptive search strategy for solving a key-board problem [145] Designer GAs: Gen. Alg. in Structure Design
Genetic algorithms and CAD [352] designing A preliminary study on arti cial neural networks using co-evol. [218] { Modular scheme for special purpose associative memories and beyond [223] { Neurogen. learning: An integrated method of and training NNs [435, 436] appl. -speci c neural networks using the structured GA [133] Biomorphs with an Interactive GA [277] GAs for the state assignment problem [287] max-min propagation NNs by hyperplane switching [343] molecules with GAs [184] multiplierless digital lters using GAs [209] neural networks by adaptively building blocks in cascades [201] designs A study on heredity and evol. of by using GAs [491] { Chapter 12. The Evol. of Solid Object using GAs [44] { Multi-element diractive optical using EP [221] { Neural-network with gen. learning for cntr. of a single link exible manipulator [290] { Polycell placement for analog LSI chip by GAs and tabu search [319] { Study on heredity and evol. of by using GAs [393] design-space Integrated sch. , allocation and module sel. for exploration in high-level synthesis [307] desired Evol. design of molecules with properties using the GA [110] detailed A router based on simulated evol. [356] detection Solving pattern nesting problems with GAs employing task decomposition and contact [336] Developing an integrated framework for the design of manufacturing syst. using the gen. recombination technique [32] development HDL-prog. modeled upon embryonic [269] { The of a directed gen. search technique for heavily constrained design spaces [86] { The of a dual-agent strategy for ecient search across whole syst. eng. design hierarchies [63] Developments in the use of the GA in eng. design [163] device The utilization of the GA for the opt. -design of a pneumatic hydropower [120] devices Comparison of dierent opt. strategies in the design of electromagnetic [477] { GAs in the design opt. of electromagnetic [149] { Higher order evol. strategies for the global opt. of electromagnetic [18] diagrams Automating the layout of network with speci ed visual organization [489] diesel Shape opt. of fuel injection cam by GA [480] diesel engine Shape opt. of camshaft by GA [44] diractive Multi-element optical designs using EP [148] Digital Design of Filters with Evol. Alg. [184] { Designing multiplierless lters using GAs [354] { Gen. synthesis techniques for low-power signal processing circuits [391] { Gen. synthesis techniques for low-power signal processing circuits [152] digital ltering Gen. and annealing appr. to adaptive [239] digital-systems Design of HDL prog. for using GAs [158] dimension A gen. appr. to the drawing problem [246] dimensional Simultaneous type and synthesis of mechanisms by GAs [269] directed The development of a gen. search technique for heavily constrained design spaces [271] Discovery Cerius2 Release 1.6, Drug Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [161] Discrete opt. -design using a GA [463, 474] { Proposal of constructive alg. and shape design of the strongest column [306] discrete variable Survey of opt. for structural design [270] distributed A nested GA for database design [434] { A GA for standard cell placement on a network of workstations [361] { A GA over a transputer based par. machine for survivable communication netwodk Design [395] { Extended GA for channel routing [103, 104] { Floorplan design using GAs [67] { GA for syst. topology design [105] GAs for the oorplan design problem [227] distribution Gen. evol. of the topology and weight of neural networks [95] { Opt. capasitor placement in syst. by GA
Permuted title index [376] { Selecting and applying opt. methods [51] distribution system GA for open-loop design [114] Distribution-system harmonic worst-case design using a GA [369] diverse Adaptive search strategies to maintain global search for preliminary and whole syst. design [334] evol. search for preliminary whole syst. design [298] evol. search for preliminary whole syst. design [135] docking A GA-based method for exible molecules [440] domain EnGENEous independent, machine learning for design opt. [79] doublet Comparison of the classical dumped least squares and GA in the opt. of the [158] drawing A gen. appr. to the dimension problem [345] driven Perf. standard-cell placement using the GA [301] { Timing GA for standard-cell placement [271] Drug Cerius2 Release 1.6, Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [273] drug design Computer-assisted GAs and structures of molecular clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine [220] { Structure-based ten years on [380] DSP Gen. framework for the high level opt. of low power VLSI syst. [355] DSP systems A gen. framework for the high-level opt. of low power VLSI [86] dual-agent The development of a strategy for ecient search across whole syst. eng. design hierarchies [79] dumped Comparison of the classical least squares and GA in the opt. of the doublet [213, 262] dynamic Gen. search and the facility layout problem [373] dynamical Evol. synthesis of object emulator based on RBF neural network [267] dynamically Gen. design of opt. four-bar linkages [468] dynamics GAs appl. in computational uid [100] dynamique Alg. genetiques paralleles pour la plani cation de trajectoires de robots en environnement [123] easthetic Appl. of the GA to design of dam structures [323] economic Coevol. syst. for design [86] ecient The development of a dual-agent strategy for search across whole syst. eng. design hierarchies [159] electric Appl. of a GA to meter allocation in power syst. [73] electric machine Fuzzy tness function for design by GA [74] electrical Automated WYSIWYG design of both the topology and component values of circuits using gen. prog. [120] electromagnetic Comparison of dierent opt. strategies in the design of devices [84] { GA opt. for aerospace design and analysis [477] { GAs in the design opt. of devices [149] { Higher order evol. strategies for the global opt. of devices [121] electromagnetics Global opt. methods for computational [279] elements Appl. of mutants as operators of GAs for optimising of VLSI and PCB placement on the basis of scanning area method [127] { Locating Pressure Cntr. for Leakage Minimization in Water Supply Networks by GAs [194] { Opt. design of machine using GAs [211] embedding GA for a complete graph in a hypercube with a VLSI appl. [32] embryonic HDL-prog. development modeled upon development [228] empirical Hybrid GAs with hyperplane synthesis: A theoretical and study [373] emulator Evol. synthesis of dynamical object based on RBF neural network [456] enchancement GA with qqualitative knowledge for layout design under continuous space formulation [72] Encoding scheme issues for open-ended arti cial evol. [224] energy Using an annealing GA to solve global minimization problem in molecular binding [440] EnGENEous domain independent, machine learning for design opt. [171] EnGENous a uni ed appr. to design opt. [481] engine Improving design of cam shape used in valvetrain of internal-combustion using a GA [69] { Multiobjective gas turbine cntr. design using GAs [259] engineering Adaptive search and design [275] { Adaptive search techniques for decision support during preliminary design
33 [274] { Adaptive search tools and their integration with design [379] { An immune network model for constraint satisfaction in design [166] Engineering Applying the GA to design problems: Progress at the Plymouth Design Center [63] engineering Developments in the use of the GA in design [108] { Evol. inheritance and delegation as mechanisms in knowledge prog. for product design [165] { Evol. techniques and their appl. to design [438] { Evol. design using the GA [358] { Interactive evol. in design [172] { Interdigitation: A Hybrid Technique for Design Opt. Employing GAs, Expert Syst. , and Numerical Optimization [173] { Inter-GEN: A hybrid appr. to design opt. [156] opt. s using the structured GA [272] { Techniques to aid global search in design [86] { The development of a dual-agent strategy for ecient search across whole syst. design hierarchies [276, 167] { The GA and civil design [233] { The impl. of adaptive search tools to promote global search in design [266] { The integration of adaptive search with current design practice [392] { Using gen. to nd modular structures and activation functions for architectures of arti cial neural networks [143] Entwicklung von Computer-Algorithmen zur Opt. von Strukturkomponenten nach der Evol. stheorie [81] Entwurfsmethodik Rechnergestiutzte fur Handhabungsgerate mit genetischen Alg. en [Computer-aided design of manipulators with GAs] [419] Entwurfstheorie Untersuchungen zur Anwendung einer grundlegenden auf praktische Probleme der Leichtbaukonstruktion [116] environment A role for GAs in a preliminary design [33] { Framework of concurrent design [348] { Multirow machine layout problem in fuzzy using GAs [100] environnement Alg. genetiques paralleles pour la plani cation de trajectoires de robots en dynamique [57] EP An extended alg. for VLSI channel routing [299] Epistasis in GAs: An experimental design perspective [478] equations Par. solution of opt. shape design problem governed by Helmholtz/potential ow [60] equipment Use of gen. and neural technologies in oil computer-aided design [168] ergonomic An expert syst. for workplace design using a GA [444] Erlangen Massiv par. e genetische Algorithmen, Beitrage zum Tag der Informatik 1993 [427] Esp A new standard cell placement package using simulated evol. [428] Placement by simulated evol. [225] estimation Design neural networks with GAs for fault section [37] { Superquadrics parameter from shading image using GA [96] Evaluation A Comparative of Search Methods Appl. to Parametric Design of Aircraft [283] { Impl. and of GAs for syst. partitioning [110] evolution A detailed router based on simulated [201] { A study on heredity and of designs by using GAs [401] { An standing on the design of redundant manipulators [193] { Applying simulated to high level synthesis [491] { Chapter 12. The of Solid Object Designs using GAs [181] { Comb. opt. by stochastic [72] { Encoding scheme issues for open-ended arti cial [80] { GA in the role of a shell for structural simulation at the conceptual design stage [227] { Gen. of the topology and weight distribution of neural networks [196] { Gen. -synthesis: Perf. -driven logic synthesis using gen. [38] { Hardware { an HDL appr. [358] { Interactive in eng. design [284] prog. for design of rectilinear branched networks [78] { Opt. pole shape design for the reduction of cogging torque of brushless DC motor using strategy [429] { Opt. by simulated with appl. to standard cell placement [420] { Opt. of the layout of trusses combining strategies based on Mitchell's theorem and on the biological principles of [202] { Perf. -driven global routing based on simulated
34 [229] { Pioneer: A new tool for coding of multi-level nite state machines based on prog. [187] { Restrictive channel routing with prog. [427] { Esp: A new standard cell placement package using simulated [428] { Esp: Placement by simulated [362] { Shape opt. of closed slot type permanent magnet motors for cogging torque reduction using strategy [111] { SILK: Simulated router [199] { Solving gate-matrix layout problems by simulated [443] { Stochastic a fast eective heuristics for some generic layout problems [319] { Study on heredity and of designs by using GAs [430] evolutionarer Auslegung eines Rechnernetzwerkes mit minimalem Kommunikationsaufwand mittels Algorithmen [149] evolution strategies Higher order for the global opt. of electromagnetic devices [29] Evolutional opt. of product design based on concurrent processing of design and manufacturing info [484] evolutionary A growth model for form generation using a hierarchical appr. [71] { An alg. for design opt. of microsyst. [377] { An appr. to hardware/software partitioning [375, 385] { An appr. to syst. -level synthesis [357] { An design for f ? lenses [24] { An method for automatic wire routing [300] { An model for non-routine design [39] { Automatic hardware design with an process [210] { Classi er design using prog. [492] { Conceptual design by GAs [148] { Design of Digital Filters with Alg. [334] { Diverse search for preliminary whole syst. design [298] { Diverse search for preliminary whole syst. design [490] { Generic Design of Solid Objects using a GA [65] { Interactive alg. in design [70] { Learning heuristics for OBDD minimization by alg. [44] { Multi-element diractive optical designs using prog. [310] alg. in neural network design and training { A review [36] automated hardware design syst. with HDL [325] case based design [412] design for the opt. layout of tree networks [230] design of appl. tailored neural networks [314] design of appl. -speci c neural networks: A gen. appr. [307] design of molecules with desired properties using the GA [438] eng. design using the GA [108] inheritance and delegation as mechanisms in knowledge prog. for eng. product design [13] learning of novel grammars for design improvement [442] network design & the contiguity problem [253] structuring of neural networks by solving a binary problem [373] synthesis of dynamical object emulator based on RBF neural network [165] techniques and their appl. to eng. design [309] { Opt. feeder routing and opt. substation sizing and placement using guided SA [242] { Opt. based con guration using alg. [68] { Overview of a generic design syst. [21] { Production GAs for automated hardware design through an process [470] { Shape Rep. for opt. and ident. in structural mechanics [22] { Syst. design under uncertainty: opt. of the gravity probe-B spacecraft [164] { The concrete arch dam, An model of the design process [42] { The table: An illustration of design using GAs [180] evolution-based An appr. to partitioning ASIC syst. [143] Evolutionstheorie Entwicklung von ComputerAlgorithmen zur Opt. von Strukturkomponenten nach der [389] Evolving adaptive computer syst. [64] design cases [410] layout [17] expansions Using a GA for opt. zed polarity ReedMuller of Boolean functions [268] experimental An design perspective on GAs [299] experimental design Epistasis in GAs: An perspective [414] Experimentation with an adaptive search strategy for solving a key-board design/con guring problem [172] Expert Interdigitation: A Hybrid Technique for Eng. Design Opt. Employing GAs, Syst. , and Numerical Optimization
Genetic algorithms and CAD [168] expert system An for ergonomic workplace design using a GA [381] explicit MCM/IC timing-driven placement alg. featuring design space exploration [388] exploration Design space using the GA [393] { Integrated sch. , allocation and module sel. for designspace in high-level synthesis [381] { MCM/IC timing-driven placement alg. featuring explicit design space [286] expressions A GA for minimization of xed polarity Reed-Muller [357] f ? An evol. design for lenses [453] facilities GA opt. appl. to variations of the unequal area layout problem [222] { Study of gen. crossover operations on the layout problem [451] facility A GA appr. to the layout problem [340] { A GA for layout [457] { A new Opt. for the layout problem [291] { A study of GA hybrids for layout problems [450] { GAs, function opt. , and design [213, 262] { Gen. search and the dynamic layout problem [281] { Gen. search for layout design under inter ows uncertainty [341] { Unequal-area layout by gen. search [313] facility layout design Skeleton-based using GAs [351] factorial On interval GA in global opt. [257] Fast and stable hybrid GA for the ratio-cut partitioning problem on hypergraphs [443] { Stochastic evol. : a eective heuristics for some generic layout problems [225] fault Design neural networks with GAs for section estimation [416] feasibility A study of gen. placement [19] Feature sequencing in the Rapid Design Syst. using a GA [381] featuring MCM/IC timing-driven placement alg. explicit design space exploration [315] feedback A comparison study of GAs in cntr. design [309] feeder Opt. routing and opt. substation sizing and placement using guided evol. SA [237] feedforward Gen. design of sparse neural networks [153] lter Gen. and learning automata alg. for adaptive design [99] { Multiplier-less FIR design with power-of-two coef cients [35] { Non-linear design using GA [174] { Opt. multilayer design using real coded GAs [406] { Recursive adaptive design using an adaptive GA [407] ltering A survey of IIR adaptive alg. [102] Filters A GA Appr. to the Con guration of Stack [148] { Design of Digital with Evol. Alg. [184] { Designing multiplierless digital using GAs [439] { Fittest in real world [189] { GA in the design of FIR [98] { Gen. appr. to design of multiplierless FIR [229] nite Pioneer: A new tool for coding of multi-level state machines based on evol. prog. [189] FIR GA in the design of lters [98] { Gen. appr. to design of multiplierless lters [99] { Multiplier-less lter design with power-of-two coef cients [73] tness function Fuzzy for electric machine design by GA [439] Fittest lters in real world [286] xed A GA for minimization of polarity Reed-Muller expressions [251] { OFDD based minimization of polarity Reed-Muller expressions using hybrid GAs [400] { Solving con guration problems with gen. search [17] { Using a GA for opt. polarity Reed-Muller expansions of Boolean functions [135] exible A GA-based method for docking molecules [221] { Neural-network designs with gen. learning for cntr. of a single link manipulator [247] exible manufacturing system Opt. layout with GAs [346] oor Opt. of plate structure in railway passenger train by GA [235] oorplan A GA for area opt. [105] { Distr. GAs for the design problem [260] area opt. using GAs [103, 104] design using distr. GAs [455] { Stepwise-overlapped par. annealing and its appl. to design
Permuted title index [350] oorplanner Timing in uenced general-cell gen. [130] Floorplanning by improved simulated annealing based on GAs [129] Floorplan-Vorgaben Chip-Assembly Strategien bei der Layout-Synthese nach [478] ow Par. solution of opt. shape design problem governed by Helmholtz/potential equations [471] { The reconstruction of an airfoil in 2D potential using a GA on a par. computer [468] uid GAs appl. in computational dynamics [484] form A growth model for generation using a hierarchical evol. appr. [360] Form/function/cost tradeos through adaptive search [177] formulation Analogue placement by of macrocomponents and gen. partitioning [456] { GA with qqualitative knowledge enchancement for layout design under continuous space [267] four-bar Gen. design of dynamically opt. linkages [243] FPGAs Opt. techniques based on the use of GAs (GAs) for logic impl. on [280] FPGA's TRACER-fpga: a router for RAM-based [394] framework A GAic for process design and opt. [355] { A gen. for the high-level opt. of low power VLSI DSP syst. [336] { Developing an integrated for the design of manufacturing syst. using the gen. recombination technique [380] { Gen. for the high level opt. of low power VLSI DSP syst. [33] of concurrent design environment [256] free-form GAs in curve design [231] FSM State assignment for low-power synthesis using gen. local search [489] fuel injection cam Shape opt. of diesel by GA [271] function Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. approximation [450] { GAs, opt. , and facility design [85] functions Use of automatically de ned and architecture-altering operations in automated circuit synthesis using gen. prog. [392] { Using gen. eng. to nd modular structures and activation for architectures of arti cial neural networks [326] fuzzy An integrated shape opt. appr. using GAs and rule-based syst. [432] { Integrating design stages of syst. using GA [348] { Multirow machine layout problem in environment using GAs [488] cntr. GA search for shape opt. [73] tness function for electric machine design by GA [15] fuzzy controllers Automatic design of hierarchical using GAs [139] fuzzy logic Design of and adaptive cntr. using a GA [53] { Use of to overcome constraint problems in GAs [255] fuzzy systems Context dependent coding in GAs for the design of [207] GAP a GA appr. to optimize two-bit decoder PLAs [9] gas Constrained network pipe sizing with GAs [363] GA's in decomposition based design - Subsyst. interactions through immune network simulation [367] gas Spacial reasoning with GAs, An appl. in planning of safe liquid petroleum site [69] gas turbine Multiobjective engine cntr. design using GAs [447] Gasp - a GA for standard cell placement [240] gate Gen. beam search for matrix layout [27] location opt. in liquid composite moulding using GAs [294] { The GA appl. to sizing [448] gate matrix Gen. beam search for layout [204] { On the synthesis of layout [199] gate-matrix Solving layout problems by simulated evol. [52] gates The design of active sonar plot-association using a GA [390] geentic Structural synthesis of cell-based VLSI circuits using a multi-objective alg. [350] general-cell Timing in uenced gen. oorplanner [484] generation A growth model for form using a hierarchical evol. appr. [45] Generic building product model incorporating building type info [490] Evol. Design of Solid Objects using a GA [68] { Overview of a evol. design syst. [443] { Stochastic evol. : a fast eective heuristics for some layout problems
35 [196] Genetic-synthesis Perf. -driven logic synthesis using gen. evol. [308] Genrouter a GA for channel routing-problems [54] geodesics Gen. computation of on three-dimensional curved surfaces [462] geometrical Cross-sectional and shape opt. by means of GA [162] { Opt. sizing, and topological design using a GA [128] global A GA for improvement of macrocell layouts [40] { A macro-cell router based on two GAs [369] { Adaptive search strategies to maintain diverse search for preliminary and whole syst. design [217] { Adaptive opt. with local search [188] { Comparison of search methods for design opt. using simulation [149] { Higher order evol. strategies for the opt. of electromagnetic devices [485] { Hybrid methods using GAs for opt. [121] opt. methods for computational electromagnetics [351] { On interval factorial GA in opt. [250] { Optical packages look for minima [202] { Perf. -driven routing based on simulated evol. [272] { Techniques to aid search in eng. design [233] { The impl. of adaptive search tools to promote search in eng. design [224] { Using an annealing GA to solve energy minimization problem in molecular binding [478] governed Par. solution of opt. shape design problem by Helmholtz/potential ow equations [58] Gplace GA for placement opt. [13] grammars Evol. learning of novel for design improvement [211] graph GA for embedding a complete in a hypercube with a VLSI appl. [433] Graphic object layout with interactive GAs [252] graphs Gen. sch. of task [22] gravity Syst. design under uncertainty: Evol. opt. of the probe-B spacecraft [324] ground Appl. of GA to design of arti cial [484] growth A model for form generation using a hierarchical evol. appr. [419] grundlegenden Untersuchungen zur Anwendung einer Entwurfstheorie auf praktische Probleme der Leichtbaukonstruktion [309] guided Opt. feeder routing and opt. substation sizing and placement using evol. SA [179] gun Opt. design of capasitor-driven coil [398] Half-tone A GA Appr. to Visual Model-based Pattern Design [81] Handhabungsgerate Rechnergestiutzte Entwurfsmethodik fur mit genetischen Alg. en [Computer-aided design of manipulators with GAs] [39] hardware Automatic design with an evol. process [36] { Evol. automated design syst. with HDL [38] evol. { an HDL appr. [21] { Production GAs for automated design through an evol. process [311] { Soft computing appr. to software codesign [377] hardware/software An evol. appr. to partitioning [114] harmonic Distribution-syst. worst-case design using a GA [239] HDL Design of prog. for digital-syst. using GAs [36] { Evol. automated hardware design syst. with [38] { Hardware evol. { an appr. [32] HDL-program development modeled upon embryonic development [461] Headway in cavity design through GAs [269] heavily The development of a directed gen. search technique for constrained design spaces [478] Helmholtz/potential Par. solution of opt. shape design problem governed by ow equations [201] heredity A study on and evol. of designs by using GAs [319] { Study on and evol. of designs by using GAs [70] heuristics Learning for OBDD minimization by evol. alg. [443] { Stochastic evol. : a fast eective for some generic layout problems [484] hierarchical A growth model for form generation using a evol. appr. [15] { Automatic design of fuzzy cntr. using GAs [86] hierarchies The development of a dual-agent strategy for ecient search across whole syst. eng. design [355] high-level A gen. framework for the opt. of low power VLSI DSP syst.
36 [393] { Integrated sch. , allocation and module sel. for designspace exploration in synthesis [347] synthesis of data paths for easy testability [322] synthesis sch. and allocation using GAs [297] synthesis using GA [318] Human behavior, computation, and the design of manufacturing syst. [476] hybrid Aerodynamic shape opt. by means of GA [257] { Fast and stable GA for the ratio-cut partitioning problem on hypergraphs [172] { Interdigitation: A Technique for Eng. Design Opt. Employing GAs, Expert Syst. , and Numerical Optimization [173] { Inter-GEN: A appr. to eng. design opt. [183] { Model-based matching using a minimum Rep. size criterion and a GA [411] appr. for opt. nesting using a GA and a local minimization alg. [467] GA for multi objective aerodynamic shape opt. [228] GAs with hyperplane synthesis: A theoretical and empirical study [485] methods using GAs for global opt. [251] { OFDD based minimization of xed polarity ReedMuller expressions using GAs [293] { VLSI standard-cell placement by par. simulatedannealing and GA [291] hybrids A study of GA for facility layout problems [273] hydrocarbons Computer-assisted drug design: GAs and structures of molecular clusters of aromatic and actinomycin D-deoxyguanosine [140] Hydrocyclone Air-Injected Opt. via GA [137] { Analysis and opt. of an air-injected [138] { Chapter 29, Gen. alg. based design of an air-injected [107] { Chuck Karr and the design of an air-injected [41] { Design of an air-injected using a GA [163] hydropower The utilization of the GA for the opt. design of a pneumatic device [211] hypercube GA for embedding a complete graph in a with a VLSI appl. [257] hypergraphs Fast and stable hybrid GA for the ratiocut partitioning problem on [287] hyperplane Designing max-min propagation NNs by switching [228] { Hybrid GAs with synthesis: A theoretical and empirical study [136] identi cation Sensor placement for on-orbit modal of large space structure via a GA [470] { Shape Rep. for evol. opt. and in structural mechanics [407] IIR A survey of adaptive ltering alg. [42] illustration The table: An of evol. design using GAs [37] image Superquadrics parameter estimation from shading using GA [379] immune network An model for constraint satisfaction in eng. design [363] { GA's in decomposition based design - Subsyst. interactions through simulation [283] Implementation and evaluation of GAs for syst. partitioning [243] { Opt. techniques based on the use of GAs (GAs) for logic on FPGAs [233] { The of adaptive search tools to promote global search in eng. design [368] implemented Par. GAs on transputers [440] independent EnGENEous domain machine learning for design opt. [89] industrial GAs in design [350] in uenced Timing general-cell gen. oorplanner [444] Informatik Massiv par. e genetische Algorithmen, Beitrage zum Tag der Erlangen 1993 [29] information Evol. al opt. of product design based on concurrent processing of design and manufacturing [45] { Generic building product model incorporating building type [108] inheritance Evol. and delegation as mechanisms in knowledge prog. for eng. product design [76] injection Opt. of molding conditions using GA [241] Inspection allocation in manufacturing syst. : A GA appr. [328] integer-based Manufacturing cell design using an GA [326] integrated An shape opt. appr. using GAs and fuzzy rule-based syst. [336] { Developing an framework for the design of manufacturing syst. using the gen. recombination technique
Genetic algorithms and CAD [182] { GAs for the opt. of circuits synthesis [223] { Neurogen. learning: An method of designing and training NNs [393] sch. , allocation and module sel. for design-space exploration in high-level synthesis [216] integrated circuits GAs in computer aided design of [432] Integrating design stages of fuzzy syst. using GA [274] integration Adaptive search tools and their with eng. design [266] { The of adaptive search with current eng. design practice [363] interactions GA's in decomposition based design Subsyst. through immune network simulation [133] Interactive Designing Biomorphs with an GA [433] { Graphic object layout with GAs [358] evol. in eng. design [65] evol. alg. in design [172] Interdigitation A Hybrid Technique for Eng. Design Opt. Employing GAs, Expert Syst. , and Numerical Optimization [281] inter ows Gen. search for facility layout design under uncertainty [173] Inter-GEN A hybrid appr. to eng. design opt. [481] internal-combustion Improving design of cam shape used in valvetrain of engine using a GA [316] Internet Biodiversity in design via [351] interval On factorial GA in global opt. [271] Introduction Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: to gen. function approximation [465] inverse GA for aerodynamic opt. problem [486] { Investigating a par. breeder GA on the aerodynamic design [486] Investigating a par. breeder GA on the inverse aerodynamic design [107] Karr Chuck and the design of an air-injected hydrocyclone [437] keyboard Appl. of GAs to the opt. problem [414] key-board Experimentation with an adaptive search strategy for solving a design/con guring problem [160] Keyboard opt. using gen. techniques [364] knowledge Automated design [108] { Evol. inheritance and delegation as mechanisms in prog. for eng. product design [456] { GA with qqualitative enchancement for layout design under continuous space formulation [408] based assistance of gen. search in large design space [169] knowledge-based A syst. for opt. workplace layouts using a GA [430] Kommunikationsaufwand Auslegung eines Rechnernetzwerkes mit minimalem mittels evol. arer Algorithmen [92] laminate GA Rep. for layups [55] laminated Using GAs to design composite structures [197] layer An appl. of GAs to solve the assignment problem in multi chip modules [261] { MCM assignment using gen. search [451] layout A GA appr. to the facility problem [340] { A GA for facility [457] { A new Opt. for the facility problem [424] { A Par. GA for Network-Diagram [452] { A quantitative appr. to the plant problem using GAs [18] { Automating the of network diagrams with speci ed visual organization [409] { Compaction of symbolic using GAs [412] { Evol. design for the opt. of tree networks [410] { Evolving [453] { GA opt. appl. to variations of the unequal area facilities problem [456] { GA with qqualitative knowledge enchancement for design under continuous space formulation [240] { Gen. beam search for gate matrix [448] { Gen. beam search for gate matrix [213, 262] { Gen. search and the dynamic facility problem [281] { Gen. search for facility design under inter ows uncertainty [433] { Graphic object with interactive GAs [348] { Multirow machine problem in fuzzy environment using GAs [204] { On the synthesis of gate matrix [431] { Opt. of tree networks using GAs [420] { Opt. of the of trusses combining strategies based on Mitchell's theorem and on the biological principles of evol. [247] { Opt. exible manufacturing syst. with GAs
Permuted title index [199] { Solving gate-matrix problems by simulated evol. [443] { Stochastic evol. : a fast eective heuristics for some generic problems [222] { Study of gen. crossover operations on the facilities problem [278] { Towards opt. circuit using advanced search techniques [341] { Unequal-area facility by gen. search [382] layout design GA-based appr. to cell composition and problems [291] layout problems A study of GA hybrids for facility [128] layouts A GA for global improvement of macrocell [169] { A knowledge-based syst. for opt. workplace using a GA [129] Layout-Synthese Chip-Assembly Strategien bei der nach Floorplan-Vorgaben [92] layups GA Rep. for laminate [127] Leakage Locating Pressure Cntr. Elements for Minimization in Water Supply Networks by GAs [482] learning A classi er syst. for three-dimensional shape opt. [13] { Evol. of novel grammars for design improvement [153] { Gen. and automata alg. for adaptive lter design [131] { Neural network and gen. alg. for computer-aided design and pattern recognition [221] { Neural-network designs with gen. for cntr. of a single link exible manipulator [223] { Neurogen. An integrated method of designing and training NNs [494] classi er syst. in design opt. [70] heuristics for OBDD minimization by evol. alg. [483] { Three-dimensional shape opt. utilizing a classi er syst. [469] { Zeroth-Order Shape Opt. Utilizing a Classi er Syst. [79] least squares Comparison of the classical dumped and GA in the opt. of the doublet [419] Leichtbaukonstruktion Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf praktische Probleme der [141] length The use of a GA for minimum nozzle design A process overview [198] lens Some remarks on computer-aided design of optical syst. [357] lenses An evol. design for f ? [193] level Applying simulated evol. to high synthesis [380] { Gen. framework for the high opt. of low power VLSI DSP syst. [305] libraries Using a GA to suggest comb. [157] lightweight Design of broad-band microwave absorbers using GAs [454] line The design of a multipoint topology for a communication network using GAs [303] linearly GA appr. for opt. cntr. problems with appearing controls [403] link GAs and communication speed design: constraints and operators [402] { GAs and communication speed design: theoretical considerations [221] { Neural-network designs with gen. learning for cntr. of a single exible manipulator [219] { Opt. tolerancing: the between design and manufacturing productivity [267] linkages Gen. design of dynamically opt. four-bar [27] liquid Gate location opt. in composite moulding using GAs [367] { Spacial reasoning with GAs, An appl. in planning of safe petroleum gas site [411] local Hybrid appr. for opt. nesting using a GA and a minimization alg. [231] { State assignment for low-power FSM synthesis using gen. search [217] local search Adaptive global opt. with [127] Locating Pressure Cntr. Elements for Leakage Minimization in Water Supply Networks by GAs [206] location Appl. of GA for the support opt. of beams [27] { Gate opt. in liquid composite moulding using GAs [232] location-problems Solving concentrator using GAs [196] logic Gen. -synthesis: Perf. -driven synthesis using gen. evol. [243] { Opt. techniques based on the use of GAs (GAs) for impl. on FPGAs [208] logical GAs for opt. database design [354] low-power Gen. synthesis techniques for digital signal processing circuits
37 [391] { Gen. synthesis techniques for digital signal processing circuits [231] { State assignment for FSM synthesis using gen. local search [290] LSI chip Polycell placement for analog designs by GAs and tabu search [361] machine A distr. GA over a transputer based par. for survivable communication netwodk Design [348] { Multirow layout problem in fuzzy environment using GAs [194] { Opt. design of elements using GAs [440] machine learning EnGENEous domain independent, for design opt. [229] machines Pioneer: A new tool for coding of multi-level nite state based on evol. prog. [349] { Toward a mechanics of conceptual [109] macro A GA for cell placement [128] macrocell A GA for global improvement of layouts [40] macro-cell A global router based on two GAs [185] and module placement by gen. adaptive search with bitmap-represented chromosome [263] { SAGA: a uni cation of the GA with simulated annealing and its appl. to placement [177] macrocomponents Analogue placement by formulation of and gen. partitioning [119] magnet Opt. design for NMR [369] maintain Adaptive search strategies to diverse global search for preliminary and whole syst. design [221] manipulator Neural-network designs with gen. learning for cntr. of a single link exible [142] Manipulators A Multi-Pop. GA and its Appl. to Design of [401] { An evol. standing on the design of redundant [81] { Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en [Computer-aided design of with GAs] [212] manufacturability GA-based structural topology design with compliance and considerations [336] manufacturing Developing an integrated framework for the design of syst. using the gen. recombination technique [29] { Evol. al opt. of product design based on concurrent processing of design and info [318] { Human behavior, computation, and the design of syst. [241] { Inspection allocation in syst. : A GA appr. [328] cell design using an integer-based GA [219] { Opt. tolerancing: the link between design and productivity [329] mapping Improved technology using a new appr. to Boolean matching [444] Massiv par. e genetische Algorithmen, Beitrage zum Tag der Informatik Erlangen 1993 [329] matching Improved technology mapping using a new appr. to Boolean [183] { Model-based using a minimum Rep. size criterion and a hybrid GA [240] matrix Gen. beam search for gate layout [287] max-min Designing propagation NNs by hyperplane switching [245] MCM GA for partitioning [261] layer assignment using gen. search [381] MCM/IC timing-driven placement alg. featuring explicit design space exploration [295] MCMs A GA-based circuit partitioner for [25] mechanical GAs versus simulated annealing { satisfaction of large sets of algebraic design constraints [470] mechanics Shape Rep. for evol. opt. and ident. in structural [349] { Toward a of conceptual machines [108] mechanisms Evol. inheritance and delegation as in knowledge prog. for eng. product design [246] { Simultaneous type and dimensional synthesis of by GAs [445] Meta-Genetic A Gen. Appr. to Standard Cell Placement Using Parameter Opt. [236] metaphors Some non-biological for GAs [159] meter Appl. of a GA to allocation in electric power syst. [135] method A GA-based for docking exible molecules [24] { An evol. for automatic wire routing [279] { Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area
38 [223] { Neurogen. learning: An integrated of designing and training NNs [383] { Par. opt. statistical design based on GA [249] { Uni ed multidisciplinary optimum design using GAs [23] methodology A gen. for con guration design [195] { A novel using GAs for the design of caches and cache replacement policy [342] { Two-stage simulated annealing [43] { Using GAs as an automated for conceptual design of rotorcraft [96] Methods A Comparative Evaluation of Search Appl. to Parametric Design of Aircraft [188] { Comparison of global search for design opt. using simulation [121] { Global opt. for computational electromagnetics [485] { Hybrid using GAs for global opt. [376] { Selecting and applying distribution opt. [71] microsystems An evol. alg. for design opt. of [157] microwave Design of lightweight, broad-band absorbers using GAs [250] minima Optical packages look for global [430] minimalem Auslegung eines Rechnernetzwerkes mit Kommunikationsaufwand mittels evol. arer Algorithmen [286] minimization A GA for of xed polarity Reed-Muller expressions [411] { Hybrid appr. for opt. nesting using a GA and a local alg. [70] { Learning heuristics for OBDD by evol. alg. [127] { Locating Pressure Cntr. Elements for Leakage in Water Supply Networks by GAs [251] { OFDD based of xed polarity Reed-Muller expressions using hybrid GAs [224] { Using an annealing GA to solve global energy problem in molecular binding [183] minimum Model-based matching using a Rep. size criterion and a hybrid GA [141] { The use of a GA for length nozzle design - A process overview [192] minimum-time A GA for trajectories [61] mirrors Design of astronomical telescopes of two using GA in the stage of opt. [420] Mitchell's Opt. of the layout of trusses combining strategies based on theorem and on the biological principles of evol. [191] mixed-parameter A GA for design appl. [136] modal Sensor placement for on-orbit ident. of large space structure via a GA [296] mode Appl. of GAs in sliding design [484] model A growth for form generation using a hierarchical evol. appr. [300] { An evol. for non-routine design [379] { An immune network for constraint satisfaction in eng. design [164] { The concrete arch dam, An evol. of the design process [398] Model-based A GA Appr. to Visual Half-tone Pattern Design [183] matching using a minimum Rep. size criterion and a hybrid GA [32] modeled HDL-prog. development upon embryonic development [238] Modi ed gen. channel router [264] modular Automatic de nition of neural networks [218] scheme for designing special purpose associative memories and beyond [392] { Using gen. eng. to nd structures and activation functions for architectures of arti cial neural networks [16] module A placement using GAs [234] { GAs for the orientation problem [393] { Integrated sch. , allocation and sel. for design-space exploration in high-level synthesis [185] { Macro-cell and placement by gen. adaptive search with bitmap-represented chromosome [197] modules An appl. of GAs to solve the layer assignment problem in multi chip [76] molding Opt. of injection conditions using GA [273] molecular Computer-assisted drug design: GAs and structures of clusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine [224] { Using an annealing GA to solve global energy minimization problem in binding [135] molecules A GA-based method for docking exible [343] { Designing with GAs [307] { Evol. design of with desired properties using the GA [113] Monte-Carlo Opt. tolerance allotment using a GA and truncated simulation
Genetic algorithms and CAD [362] motors Shape opt. of closed slot type permanent magnet for cogging torque reduction using ES [27] moulding Gate location opt. in liquid composite using GAs [197] multi An appl. of GAs to solve the layer assignment problem in chip modules [467] multi objective Hybrid GA for aerodynamic shape opt. [125] multicriterion Gen. search strategies in opt. design [473] multidisciplinary GAs in rotor blade design [26] design opt. using GAs [Abstract only] [249] { Uni ed optimum design method using GAs [359] multi-element Navier-Stokes/gen. opt. of airfoils [44] diractive optical designs using EP [174] multilayer Opt. lter design using real coded GAs [229] multi-level Pioneer: A new tool for coding of nite state machines based on evol. prog. [312] Multiobjective design opt. of counterweight balancing of a robot arm using GAs [69] gas turbine engine cntr. design using GAs [390] multi-objective Structural synthesis of cell-based VLSI circuits using a geentic alg. [386] { Structural synthesis of cell-based VLSI circuits using a GA [184] multiplierless Designing digital lters using GAs [98] { Gen. appr. to design of FIR lters [99] Multiplier-less FIR lter design with power-of-two coecients [454] multipoint The design of a line topology for a communication network using GAs [142] Multi-Population A GA and its Appl. to Design of Manipulators [348] Multirow machine layout problem in fuzzy environment using GAs [190] multi-stage A adaptive-coding GA for design appl. [339] multiway Gen. partitioning [279] mutants Appl. of as operators of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area method [405] natural Design by sel. [421] nature Why knows best about design [359] Navier-Stokes/genetic opt. of multi-element airfoils [270] nested A GA for distr. database design [411] nesting Hybrid appr. for opt. using a GA and a local minimization alg. [422] { New appr. for the of two-dimensional shapes for press tool design [356] { Solving pattern problems with GAs employing task decomposition and contact detection [48] { The of two-dimensional shapes using GAs [434] network A distr. GA for standard cell placement on a of workstations [404] { A GA for survivable design [258] { An appr. to a problem in design using GAs [18] { Automating the layout of diagrams with speci ed visual organization [9] { Constrained gas pipe sizing with GAs [248] { Demand/supply relationship in transportation design problems: A GA appr. [442] { Evol. design & the contiguity problem [454] { The design of a multipoint line topology for a communication using GAs [154, 155] { Wolverines: standard cell placement on a of workstations [424] Network-Diagram A Par. GA for Layout [287] networks Designing max-min propagation neural by hyperplane switching [284] { Evol. prog. for design of rectilinear branched [412] { Evol. design for the opt. layout of tree [127] { Locating Pressure Cntr. Elements for Leakage Minimization in Water Supply by GAs [223] { Neurogen. learning: An integrated method of designing and training neural [431] { Opt. layout of tree using GAs [77] { Usage of back propagation in a CAD/CAM syst. [31] { Use of recurrent and GAs for solving standard cell placement problem [287] neural Designing max-min propagation networks by hyperplane switching [223] { Neurogen. learning: An integrated method of designing and training networks [60] { Use of gen. and technologies in oil equipment computer-aided design [310] neural network Evol. alg. in design and training { A review
Permuted title index [373] { Evol. synthesis of dynamical object emulator based on RBF [423] { Gen. prog. appl. to design [131] and gen. learning alg. for computer-aided design and pattern recognition [352] neural networks A preliminary study on designing arti cial using co-evol. [332] { Appl. of GA to design [264] { Automatic de nition of modular [225] { Design with GAs for fault section estimation [435, 436] { Designing appl. -speci c using the structured GA [209] { Designing by adaptively building blocks in cascades [230] { Evol. design of appl. tailored [314] { Evol. design of appl. -speci c A gen. appr. [253] { Evol. structuring of by solving a binary problem [237] { Gen. design of sparse feedforward [227] { Gen. evol. of the topology and weight distribution of [392] { Using gen. eng. to nd modular structures and activation functions for architectures of arti cial [221] Neural-network designs with gen. learning for cntr. of a single link exible manipulator [223] Neurogenetic learning: An integrated method of designing and training NNs [320] neuroverkkojen Geneettiset alg. it opetuksessa ja rakenteen suunnittelussa [119] NMR Opt. magnet design for [101] node partitioning GA for problem and appl. in VLSI design [236] non-biological Some metaphors for GAs [124] nonconvex Gen. search | An appr. to the opt. problem [35] Non-linear lter design using GA [300] non-routine An evol. model for design [141] nozzle The use of a GA for minimum length design A process overview [172] Numerical Interdigitation: A Hybrid Technique for Eng. Design Opt. Employing GAs, Expert Syst. , and Optimization [122] { Turbine preliminary design using arti cial intelligence and opt. [70] OBDD Learning heuristics for minimization by evol. alg. [491] Object Chapter 12. The Evol. of Solid Designs using GAs [373] { Evol. synthesis of dynamical emulator based on RBF neural network [433] { Graphic layout with interactive GAs [254] objectives GA for test sch. with dierent [490] Objects Generic Evol. Design of Solid using a GA [251] OFDD based minimization of xed polarity ReedMuller expressions using hybrid GAs [60] oil Use of gen. and neural technologies in equipment computer-aided design [82] OKFDD circuits A GA for the construction of small and highly testable [136] on-orbit Sensor placement for modal ident. of large space structure via a GA [50] opamp DARWIN: CMOS synthesis by means of a GA [72] open-ended Encoding scheme issues for arti cial evol. [51] open-loop GA for distribution syst. design [85] operations Use of automatically de ned functions and architecture-altering in automated circuit synthesis using gen. prog. [279] operators Appl. of mutants as of GAs for optimising of VLSI and PCB elements placement on the basis of scanning area method [403] { GAs and communication link speed design: constraints and [49] { Gen. for two-dimensional shape opt. [320] opetuksessa Geneettiset alg. it neuroverkkojen ja rakenteen suunnittelussa [147] optical GAs in design [44] { Multi-element diractive designs using EP [396] Optical design] [365] Optical design with the aid of a GA [250] packages look for global minima [198] { Some remarks on computer-aided design of lens syst. [304] optimal Appl. of GA for responce surface modeling in statistical design [87] { Appl. of gen. based alg. to capacitor placement [175] { Computer aided design of structural syst. using GAs [412] { Evol. design for the layout of tree networks [208] { GAs for logical database design
39 [267] { Gen. design of dynamically four-bar linkages [125] { Gen. search strategies in multicriterion design [411] { Hybrid appr. for nesting using a GA and a local minimization alg. [95] capasitor placement in distribution syst. by GA [179] design of capasitor-driven coil gun [194] design of machine elements using GAs [309] feeder routing and opt. substation sizing and placement using guided evol. SA [431] layout of tree networks using GAs [119] magnet design for NMR [174] multilayer lter design using real coded GAs [178] placement of actuators in actively cntr. structures using GAs [78] pole shape design for the reduction of cogging torque of brushless DC motor using ES [162] sizing, geometrical and topological design using a GA [113] tolerance allotment using a GA and truncated MonteCarlo simulation [219] tolerancing: the link between design and manufacturing productivity [309] { Opt. feeder routing and substation sizing and placement using guided evol. SA [478] { Par. solution of shape design problem governed by Helmholtz/potential ow equations [383] { Par. statistical design method based on GA [278] { Towards circuit layout using advanced search techniques [11] { Using GAs for design of trusses [303] optimal control problems GA appr. for with linearly appearing cntr. s [161] optimal-design Discrete using a GA [163] { The utilization of the GA for the of a pneumatic hydropower device [143] Optimierung Entwicklung von Computer-Algorithmen zur von Strukturkomponenten nach der Evol. stheorie [355] optimisation A gen. framework for the high-level of low power VLSI DSP syst. [288] { A par. GA for transonic airfoil [475] { Alg. genetiques et topologique [462] { Cross-sectional and geometrical shape by means of GA [380] { Gen. framework for the high level of low power VLSI DSP syst. [75] { Par. isation of GA for aerodynamic design [56] { Shape Rep. for [279] optimising Appl. of mutants as operators of GAs for of VLSI and PCB elements placement on the basis of scanning area method [235] optimization A GA for oorplan area [394] { A GAic framework for process design and [445] { A Gen. Appr. to Standard Cell Placement Using MetaGenetic Parameter [482] { A learning classi er syst. for three-dimensional shape [217] { Adaptive global with local search [493] { Aerodynamic shape by means of a GA [476] { Aerodynamic shape by means of hybrid GA [140] { Air-Injected Hydrocyclone via GA [384] { An adaptive par. GA for VLSI-layout [71] { An evol. alg. for design of microsyst. [326] { An integrated shape appr. using GAs and fuzzy rulebased syst. [137] { Analysis and of an air-injected hydrocyclone [437] { Appl. of GAs to the keyboard problem [206] { Appl. of GA for the support location of beams [472, 331] { Appl. of GA to aerodynamic shape [181] { Comb. by stochastic evol. [120] { Comparison of dierent strategies in the design of electromagnetic devices [188] { Comparison of global search methods for design using simulation [79] { Comparison of the classical dumped least squares and GA in the of the doublet [397] { Component sel. using GAs [61] { Design of astronomical telescopes of two mirrors using GA in the stage of [10] { Design with advanced gen. search strategies [440] { EnGENEous domain independent, machine learning for design [171] { EnGENous: a uni ed appr. to design [29] { Evol. al of product design based on concurrent processing of design and manufacturing info [260] { Floorplan area using GAs [488] { Fuzzy cntr. GA search for shape
40 [27] { Gate location in liquid composite moulding using GAs [14] { GA based design of CMOS VLSI circuits [465] { GA for aerodynamic inverse problem [453] { GA appl. to variations of the unequal area facilities layout problem [84] { GA for aerospace electromagnetic design and analysis [182] { GAs for the of integrated circuits synthesis [450] { GAs, function and facility design [126] { GAs in structural topology [477] { GAs in the design of electromagnetic devices [49] { Gen. operators for two-dimensional shape [124] { Gen. search | An appr. to the nonconvex problem [121] { Global methods for computational electromagnetics [149] { Higher order evol. strategies for the global of electromagnetic devices [467] { Hybrid GA for multi objective aerodynamic shape [485] { Hybrid methods using GAs for global [172] { Interdigitation: A Hybrid Technique for Eng. Design Employing GAs, Expert Syst. , and Numerical [173] { Inter-GEN: A hybrid appr. to eng. design [160] { Keyboard using gen. techniques [494] { Learning classi er syst. in design [26] { Multidisciplinary design using GAs [Abstract only] [312] { Multiobjective design of counterweight balancing of a robot arm using GAs [359] { Navier-Stokes/gen. of multi-element airfoils [46] { New appr. to in aerospace conceptual design [242] based con guration using evol. alg. [429] by simulated evol. with appl. to standard cell placement [346] of oor plate structure in railway passenger train by GA [244] of GAs using the Taguchi method [76] of injection molding conditions using GA [151] of process plans by GAs [420] of the layout of trusses combining strategies based on Mitchell's theorem and on the biological principles of evol. [243] techniques based on the use of GAs (GAs) for logic impl. on FPGAs [351] { On interval factorial GA in global [374] { Partial automated design based on adaptive search techniques [62] { Perf. and area of VLSI syst. using GAs [344] { Perf. and area of VLSI syst. using GAs [466] { Robust GAs for problems in aerodynamic design [58] { Gplace: GA for placement [376] { Selecting and applying distribution methods [470] { Shape Rep. for evol. and ident. in structural mechanics [362] { Shape of closed slot type permanent magnet motors for cogging torque reduction using ES [489] { Shape of diesel fuel injection cam by GA [480] { Shape of diesel engine camshaft by GA [94] { Standard Cell Routing Using A GA [426] { Structural with the GA [306] { Survey of discrete variable for structural design [22] { Syst. design under uncertainty: Evol. of the gravity probe-B spacecraft [460] { The use of GAs in shape design [483] { Three-dimensional shape utilizing a learning classi er syst. [132] { Tolerance using GA and approximated simulation [425] { Towards structural via the GA [122] { Turbine preliminary design using arti cial intelligence and numerical [156] optimizations Eng. using the structured GA [207] optimize GAP: a GA appr. to two-bit decoder PLAs [457] optimizer A new for the facility layout problem [169] optimizing A knowledge-based syst. for workplace layouts using a GA [247] exible manufacturing syst. layout with GAs [17] { Using a GA for zed polarity Reed-Muller expansions of Boolean functions [249] optimum Uni ed multidisciplinary design method using GAs [149] order Higher evol. strategies for the global opt. of electromagnetic devices [18] organization Automating the layout of network diagrams with speci ed visual [234] orientation GAs for the module problem [458] Ottimizzazione di cavita RF per acceleratori di particelle [361] over A distr. GA a transputer based par. machine for survivable communication netwodk Design
Genetic algorithms and CAD [53] overcome Use of fuzzy logic to constraint problems in GAs [68] Overview of a generic evol. design syst. [141] { The use of a GA for minimum length nozzle design - A process [427] package Esp: A new standard cell placement using simulated evol. [250] packages Optical look for global minima [83] packing On GAs for the of polygons [100] paralleles Alg. genetiques pour la plani cation de trajectoires de robots en environnement dynamique [361] parallel A distr. GA over a transputer based machine for survivable communication netwodk Design [424] { A GA for Network-Diagram Layout [288] { A GA for transonic airfoil opt. [384] { An adaptive GA for VLSI-layout opt. [486] { Investigating a breeder GA on the inverse aerodynamic design [91] GA for channel routing [368] GAs implemented on transputers [383] opt. statistical design method based on GA [478] solution of opt. shape design problem governed by Helmholtz/potential ow equations [455] { Stepwise-overlapped annealing and its appl. to
oorplan design [471] { The reconstruction of an airfoil in 2D potential ow using a GA on a computer [215] { VLSI circuit synthesis using a GA [293] { VLSI standard-cell placement by hybrid simulatedannealing and GA [444] parallele Massiv genetische Algorithmen, Beitrage zum Tag der Informatik Erlangen 1993 [75] Parallelisation of GA for aerodynamic design opt. [445] Parameter A Gen. Appr. to Standard Cell Placement Using Meta-Genetic Opt. [37] { Superquadrics estimation from shading image using GA [96] Parametric A Comparative Evaluation of Search Methods Appl. to Design of Aircraft [97] { GAs in Design of Aircraft [353] Pareto Using GA for preliminary subsonic wing design [374] Partial automated design opt. based on adaptive search techniques [458] particelle Ottimizzazione di cavita RF per acceleratori di [295] partitioner A GA-based circuit for MCMs [292] partitioning An adaptive GA for VLSI circuit [377] { An evol. appr. to hardware/software [180] { An evol. -based appr. to ASIC syst. [176] { Analog component placement by GAs | part I: [177] { Analogue placement by formulation of macrocomponents and gen. [257] { Fast and stable hybrid GA for the ratio-cut problem on hypergraphs [245] { GA for MCM [339] { Gen. multiway [283] { Impl. and evaluation of GAs for syst. [346] passenger Opt. of oor plate structure in railway train by GA [347] paths High-level synthesis of data for easy testability [398] Pattern A GA Appr. to Visual Model-based Half-tone Design [131] { Neural network and gen. learning alg. for computeraided design and recognition [356] { Solving nesting problems with GAs employing task decomposition and contact detection [279] PCB Appl. of mutants as operators of GAs for optimising of VLSI and elements placement on the basis of scanning area method [370] peptides Appl. of GAs to de novo design of therapeutic [Abstract of a poster] [62] Performance and area opt. of VLSI syst. using GAs [344] and area opt. of VLSI syst. using GAs [345] driven standard-cell placement using the GA [196] Performance-driven Gen. -synthesis: logic synthesis using gen. evol. [202] global routing based on simulated evol. [362] permanent magnet Shape opt. of closed slot type motors for cogging torque reduction using ES [268] perspective An experimental design on GAs [299] { Epistasis in GAs: An experimental design [367] petroleum Spacial reasoning with GAs, An appl. in planning of safe liquid gas site [372] physical A GA for VLSI design automation [366] { GAs appl. to the design of VLSI circuits: A survey
Permuted title index [371] { VLSI Design Automation, Theory and Practice [338] { VLSI Design Automaton: Theory and Practice [203] piirisimulointi GA ja [GA and circuit simulation] [229] Pioneer A new tool for coding of multi-level nite state machines based on evol. prog. [9] pipe Constrained gas network sizing with GAs [205] pipelining Software a GA appr. [434] placement A distr. GA for standard cell on a network of workstations [416] { A feasibility study of gen. [109] { A GA for macro cell [445] { A Gen. Appr. to Standard Cell Using Meta-Genetic Parameter Opt. [16] { A module using GAs [28] { A study on appl. of GA to automatic of parts on printed circuit boards [176] { Analog component by GAs | part I: Partitioning [177] { Analogue by formulation of macrocomponents and gen. partitioning [87] { Appl. of gen. based alg. to opt. capacitor [279] { Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements on the basis of scanning area method [417, 418] { Block by improved simulated annealing based on GA [321] { Cell by GA [399] { Gen. [185] { Macro-cell and module by gen. adaptive search with bitmap-represented chromosome [381] { MCM/IC timing-driven alg. featuring explicit design space exploration [95] { Opt. capasitor in distribution syst. by GA [309] { Opt. feeder routing and opt. substation sizing and using guided evol. SA [178] { Opt. of actuators in actively cntr. structures using GAs [429] { Opt. by simulated evol. with appl. to standard cell [345] { Perf. driven standard-cell using the GA [290] { Polycell for analog LSI chip designs by GAs and tabu search [263] { SAGA: a uni cation of the GA with simulated annealing and its appl. to macro-cell [427] { Esp: A new standard cell package using simulated evol. [428] { Esp: by simulated evol. [447] { Gasp - a GA for standard cell [58] { Gplace: GA for opt. [136] { Sensor for on-orbit modal ident. of large space structure via a GA [446] { Standard Cell and the GA [301] { Timing driven GA for standard-cell [293] { VLSI standard-cell by par. hybrid simulatedannealing and GA [154, 155] { Wolverines: standard cell on a network of workstations [112] placing GAs for actuators on space structures [100] plani cation Alg. genetiques paralleles pour la de trajectoires de robots en environnement dynamique [47] planning GA appl. to radiotherapy treatment [367] { Spacial reasoning with GAs, An appl. in of safe liquid petroleum gas site [151] plans Opt. of process by GAs [452] plant A quantitative appr. to the layout problem using GAs [207] PLAs GAP: a GA appr. to optimize two-bit decoder [346] plate Opt. of oor structure in railway passenger train by GA [115] PLAYOUT Chip assembly in the VLSI design syst. [52] plot-association The design of active sonar gates using a GA [166] Plymouth Applying the GA to design problems: Progress at the Eng. Design Center [163] pneumatic The utilization of the GA for the opt. design of a hydropower device [286] polarity A GA for minimization of xed Reed-Muller expressions [251] { OFDD based minimization of xed Reed-Muller expressions using hybrid GAs [17] { Using a GA for opt. zed Reed-Muller expansions of Boolean functions [78] pole Opt. shape design for the reduction of cogging torque of brushless DC motor using ES [195] policy A novel methodology using GAs for the design of caches and cache replacement
41 [290] Polycell placement for analog LSI chip designs by GAs and tabu search [200] Polygonal approximation of closed curve by GA [83] polygons On GAs for the packing of [441] populations Using GAs with small [471] potential The reconstruction of an airfoil in 2D ow using a GA on a par. computer [12, 106] { The of GAs for conceptual design of rotor syst. [464] { The of GAs for subsonic wing design [355] power A gen. framework for the high-level opt. of low VLSI DSP syst. [159] { Appl. of a GA to meter allocation in electric syst. [380] { Gen. framework for the high level opt. of low VLSI DSP syst. [99] power-of-two Multiplier-less FIR lter design with coecients [419] praktische Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf Probleme der Leichtbaukonstruktion [422] press New appr. for the nesting of two-dimensional shapes for tool design [127] Pressure Locating Cntr. Elements for Leakage Minimization in Water Supply Networks by GAs [28] printed circuit boards A study on appl. of GA to automatic placement of parts on [22] probe-B Syst. design under uncertainty: Evol. opt. of the gravity spacecraft [451] problem A GA appr. to the facility layout [158] { A gen. appr. to the dimension drawing [457] { A new Opt. for the facility layout [452] { A quantitative appr. to the plant layout using GAs [197] { An appl. of GAs to solve the layer assignment in multi chip modules [258] { An appr. to a in network design using GAs [437] { Appl. of GAs to the keyboard opt. [88] { Applying GAs to the state assignment a case study [277] { Designing GAs for the state assignment [105] { Distr. GAs for the oorplan design [442] { Evol. network design & the contiguity [253] { Evol. structuring of neural networks by solving a binary [414] { Experimentation with an adaptive search strategy for solving a key-board design/con guring [257] { Fast and stable hybrid GA for the ratio-cut partitioning on hypergraphs [465] { GA for aerodynamic inverse opt. [101] { GA for node partitioning and appl. in VLSI design [453] { GA opt. appl. to variations of the unequal area facilities layout [234] { GAs for the module orientation [124] { Gen. search | An appr. to the nonconvex opt. [213, 262] { Gen. search and the dynamic facility layout [348] { Multirow machine layout in fuzzy environment using GAs [222] { Study of gen. crossover operations on the facilities layout [224] { Using an annealing GA to solve global energy minimization in molecular binding [419] Probleme Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf praktische der Leichtbaukonstruktion [166] problems Applying the GA to design Progress at the Plymouth Eng. Design Center [248] { Demand/supply relationship in transportation network design A GA appr. [382] { GA-based appr. to cell composition and layout design [466] { Robust GAs for opt. in aerodynamic design [400] { Solving xed con guration with gen. search [199] { Solving gate-matrix layout by simulated evol. [356] { Solving pattern nesting with GAs employing task decomposition and contact detection [443] { Stochastic evol. : a fast eective heuristics for some generic layout [285] problem-space Datapath synthesis using a GA [394] process A GAic framework for design and opt. [39] { Automatic hardware design with an evol. [151] { Opt. of plans by GAs [21] { Production GAs for automated hardware design through an evol. [164] { The concrete arch dam, An evol. model of the design [141] { The use of a GA for minimum length nozzle design - A overview
42 [29] processing Evol. al opt. of product design based on concurrent of design and manufacturing info [354] { Gen. synthesis techniques for low-power digital signal circuits [29] product Evol. al opt. of design based on concurrent processing of design and manufacturing info [108] { Evol. inheritance and delegation as mechanisms in knowledge prog. for eng. design [45] product model Generic building incorporating building type info [21] Production GAs for automated hardware design through an evol. process [219] productivity Opt. tolerancing: the link between design and manufacturing [210] programming Classi er design using evol. [108] { Evol. inheritance and delegation as mechanisms in knowledge for eng. product design [44] { Multi-element diractive optical designs using evol. [229] { Pioneer: A new tool for coding of multi-level nite state machines based on evol. [166] Progress Applying the GA to design problems: at the Plymouth Eng. Design Center [233] promote The impl. of adaptive search tools to global search in eng. design [287] propagation Designing max-min NNs by hyperplane switching [307] properties Evol. design of molecules with desired using the GA [463, 474] Proposal of constructive alg. and discrete shape design of the strongest column [456] qqualitative GA with knowledge enchancement for layout design under continuous space formulation [271] QSAR+ Cerius2 Release 1.6, Drug Discovery Workbench User's Reference, Chapter 16: Introduction to gen. function approximation [452] quantitative A appr. to the plant layout problem using GAs [47] radiotherapy GA appl. to treatment planning [346] railway Opt. of oor plate structure in passenger train by GA [320] rakenteen Geneettiset alg. it neuroverkkojen opetuksessa ja suunnittelussa [280] RAM-based TRACER-fpga: a router for FPGA's [257] ratio-cut Fast and stable hybrid GA for the partitioning problem on hypergraphs [373] RBF Evol. synthesis of dynamical object emulator based on neural network [439] real Fittest lters in world [174] { Opt. multilayer lter design using coded GAs [367] reasoning Spacial with GAs, An appl. in planning of safe liquid petroleum gas site [81] Rechnergestiutzte Entwurfsmethodik fur Handhabungsgerate mit genetischen Alg. en [Computer-aided design of manipulators with GAs] [430] Rechnernetzwerkes Auslegung eines mit minimalem Kommunikationsaufwand mittels evol. arer Algorithmen [131] recognition Neural network and gen. learning alg. for computer-aided design and pattern [336] recombination Developing an integrated framework for the design of manufacturing syst. using the gen. technique [471] reconstruction The of an airfoil in 2D potential ow using a GA on a par. computer [284] rectilinear Evol. prog. for design of branched networks [31] recurrent Use of networks and GAs for solving standard cell placement problem [406] Recursive adaptive lter design using an adaptive GA [337] reduction A gen. appr. to test appl. time for full scan circuits [78] { Opt. pole shape design for the of cogging torque of brushless DC motor using ES [362] { Shape opt. of closed slot type permanent magnet motors for cogging torque using ES [401] redundant An evol. standing on the design of manipulators [286] Reed-Muller A GA for minimization of xed polarity expressions [17] { Using a GA for opt. zed polarity expansions of Boolean functions [251] Reed-Muller expressions OFDD based minimization of xed polarity using hybrid GAs [271] Reference Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User's Chapter 16: Introduction to gen. function approximation
Genetic algorithms and CAD [248] relationship Demand/supply in transportation network design problems: A GA appr. [271] Release Cerius2 1.6, Drug Discovery Workbench QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [198] remarks Some on computer-aided design of optical lens syst. [195] replacement A novel methodology using GAs for the design of caches and cache policy [183] representation Model-based matching using a minimum size criterion and a hybrid GA [470] { Shape for evol. opt. and ident. in structural mechanics [56] { Shape for opt. [92] representations GA for laminate layups [304] responce surface modeling Appl. of GA for in opt. statistical design [187] Restrictive channel routing with evol. prog. [310] review Evol. alg. in neural network design and training {A [458] RF Ottimizzazione di cavita per acceleratori di particelle [312] robot Multiobjective design opt. of counterweight balancing of a arm using GAs [100] robots Alg. genetiques paralleles pour la plani cation de trajectoires de en environnement dynamique [466] Robust GAs for opt. problems in aerodynamic design [116] role A for GAs in a preliminary design environment [80] { GA in the of a shell for structural evol. simulation at the conceptual design stage [12, 106] rotor The potential of GAs for conceptual design of syst. [473] rotor blade GAs in multidisciplinary design [43] rotorcraft Using GAs as an automated methodology for conceptual design of [110] router A detailed based on simulated evol. [40] { A macro-cell global based on two GAs [238] { Modi ed gen. channel [111] { SILK: Simulated evol. [280] { TRACER-fpga: a for RAM-based FPGA's [413] routing A GA for the of VLSI circuits [333] { New GA for single row [309] { Opt. feeder and opt. substation sizing and placement using guided evol. SA [202] { Perf. -driven global based on simulated evol. [94] { Standard Cell Opt. Using A GA [308] routing-problems Genrouter: a GA for channel [333] row New GA for single routing [326] rule-based An integrated shape opt. appr. using GAs and fuzzy syst. [367] safe Spacial reasoning with GAs, An appl. in planning of liquid petroleum gas site [263] SAGA a uni cation of the GA with simulated annealing and its appl. to macro-cell placement [379] satisfaction An immune network model for constraint in eng. design [25] { GAs versus simulated annealing { of large sets of algebraic mechanical design constraints [337] scan A gen. appr. to test appl. time reduction for full circuits [279] scanning Appl. of mutants as operators of GAs for optimising of VLSI and PCB elements placement on the basis of area method [254] scheduling GA for test with dierent objectives [252] { Gen. of task graphs [322] { High-level synthesis and allocation using GAs [393] { Integrated allocation and module sel. for designspace exploration in high-level synthesis [72] scheme Encoding issues for open-ended arti cial evol. [218] { Modular for designing special purpose associative memories and beyond [96] Search A Comparative Evaluation of Methods Appl. to Parametric Design of Aircraft [259] { Adaptive and eng. design [369] { Adaptive strategies to maintain diverse global for preliminary and whole syst. design [275] { Adaptive techniques for decision support during preliminary eng. design [274] { Adaptive tools and their integration with eng. design [188] { Comparison of global methods for design opt. using simulation [10] { Design opt. with advanced gen. strategies [334] { Diverse evol. for preliminary whole syst. design [298] { Diverse evol. for preliminary whole syst. design
Permuted title index [414] { Experimentation with an adaptive strategy for solving a key-board design/con guring problem [360] { Form/function/cost tradeos through adaptive [488] { Fuzzy cntr. GA for shape opt. [240] { Gen. beam for gate matrix layout [124] { Gen. | An appr. to the nonconvex opt. problem [213, 262] { Gen. and the dynamic facility layout problem [281] { Gen. for facility layout design under inter ows uncertainty [125] { Gen. strategies in multicriterion opt. design [408] { Knowledge based assistance of gen. in large design space [185] { Macro-cell and module placement by gen. adaptive with bitmap-represented chromosome [261] { MCM layer assignment using gen. [374] { Partial automated design opt. based on adaptive techniques [400] { Solving xed con guration problems with gen. [231] { State assignment for low-power FSM synthesis using gen. local [272] { Techniques to aid global in eng. design [269] { The development of a directed gen. technique for heavily constrained design spaces [86] { The development of a dual-agent strategy for ecient across whole syst. eng. design hierarchies [233] { The impl. of adaptive tools to promote global in eng. design [266] { The integration of adaptive with current eng. design practice [278] { Towards opt. circuit layout using advanced techniques [341] { Unequal-area facility layout by gen. [225] section Design neural networks with GAs for fault estimation [376] Selecting and applying distribution opt. methods [397] selection Component opt. using GAs [405] { Design by nat. [393] { Integrated sch. , allocation and module for designspace exploration in high-level synthesis [136] Sensor placement for on-orbit modal ident. of large space structure via a GA [387] sequencing A GA for data [19] { Feature in the Rapid Design Syst. using a GA [25] sets GAs versus simulated annealing { satisfaction of large of algebraic mechanical design constraints [37] shading Superquadrics parameter estimation from image using GA [482] shape A learning classi er syst. for three-dimensional opt. [495] { A study on gen. design [493] { Aerodynamic opt. by means of a GA [476] { Aerodynamic opt. by means of hybrid GA [326] { An integrated opt. appr. using GAs and fuzzy rulebased syst. [472, 331] { Appl. of GA to aerodynamic opt. [462] { Cross-sectional and geometrical opt. by means of GA [488] { Fuzzy cntr. GA search for opt. [49] { Gen. operators for two-dimensional opt. [467] { Hybrid GA for multi objective aerodynamic opt. [481] { Improving design of cam used in valvetrain of internal-combustion engine using a GA [362] opt. of closed slot type permanent magnet motors for cogging torque reduction using ES [489] opt. of diesel fuel injection cam by GA [480] opt. of diesel engine camshaft by GA [470] Rep. for evol. opt. and ident. in structural mechanics [56] Rep. for opt. [78] { Opt. pole design for the reduction of cogging torque of brushless DC motor using ES [463, 474] { Proposal of constructive alg. and discrete design of the strongest column [460] { The use of GAs in design opt. [483] { Three-dimensional opt. utilizing a learning classi er syst. [478] shape design problem Par. solution of opt. governed by Helmholtz/potential ow equations [469] Shape Optimization Zeroth-Order Utilizing a Learning Classi er Syst. [422] shapes New appr. for the nesting of two-dimensional for press tool design [48] { The nesting of two-dimensional using GAs [80] shell GA in the role of a for structural evol. simulation at the conceptual design stage [354] signal Gen. synthesis techniques for low-power digital processing circuits
43 [391] signal processing Gen. synthesis techniques for lowpower digital circuits [111] SILK Simulated evol. router [110] simulated A detailed router based on evol. [193] { Applying evol. to high level synthesis [309] { Opt. feeder routing and opt. substation sizing and placement using guided evol. annealing [429] { Opt. by evol. with appl. to standard cell placement [202] { Perf. -driven global routing based on evol. [427] { Esp: A new standard cell placement package using evol. [428] { Esp: Placement by evol. [111] { SILK: evol. router [199] { Solving gate-matrix layout problems by evol. [417, 418] simulated annealing Block placement by improved based on GA [130] { Floorplanning by improved based on GAs [25] { GAs versus { satisfaction of large sets of algebraic mechanical design constraints [263] { SAGA: a uni cation of the GA with and its appl. to macro-cell placement [342] { Two-stage methodology [293] simulated-annealing VLSI standard-cell placement by par. hybrid and GA [188] simulation Comparison of global search methods for design opt. using [203] { GA ja piirisimulointi [GA and circuit [363] { GA's in decomposition based design - Subsyst. interactions through immune network [80] { GA in the role of a shell for structural evol. at the conceptual design stage [113] { Opt. tolerance allotment using a GA and truncated Monte-Carlo [132] { Tolerance opt. using GA and approximated [246] Simultaneous type and dimensional synthesis of mechanisms by GAs [221] single Neural-network designs with gen. learning for cntr. of a link exible manipulator [333] { New GA for row routing [367] site Spacial reasoning with GAs, An appl. in planning of safe liquid petroleum gas [183] { Model-based matching using a minimum Rep. criterion and a hybrid GA [9] sizing Constrained gas network pipe with GAs [309] { Opt. feeder routing and opt. substation and placement using guided evol. SA [162] { Opt. geometrical and topological design using a GA [294] { The GA appl. to gate [313] Skeleton-based facility layout design using GAs [296] sliding Appl. of GAs in mode design [362] slot Shape opt. of closed type permanent magnet motors for cogging torque reduction using ES [311] Soft computing appr. to hardware software codesign [205] Software pipelining: a GA appr. [311] { Soft computing appr. to hardware codesign [491] Solid Chapter 12. The Evol. of Object Designs using GAs [490] { Generic Evol. Design of Objects using a GA [478] solution Par. of opt. shape design problem governed by Helmholtz/potential ow equations [197] solve An appl. of GAs to the layer assignment problem in multi chip modules [449] { An attempt to channel routing using GA [224] { Using an annealing GA to global energy minimization problem in molecular binding [253] solving Evol. structuring of neural networks by a binary problem [414] { Experimentation with an adaptive search strategy for a key-board design/con guring problem [232] concentrator location-problems using GAs [400] xed con guration problems with gen. search [199] gate-matrix layout problems by simulated evol. [356] pattern nesting problems with GAs employing task decomposition and contact detection [31] { Use of recurrent networks and GAs for standard cell placement problem [52] sonar The design of active plot-association gates using a GA [388] space Design exploration using the GA [456] { GA with qqualitative knowledge enchancement for layout design under continuous formulation [112] { GAs for placing actuators on structures [408] { Knowledge based assistance of gen. search in large design
44 [381] { MCM/IC timing-driven placement alg. featuring explicit design exploration [136] { Sensor placement for on-orbit modal ident. of large structure via a GA [22] spacecraft Syst. design under uncertainty: Evol. opt. of the gravity probe-B [269] spaces The development of a directed gen. search technique for heavily constrained design [367] Spacial reasoning with GAs, An appl. in planning of safe liquid petroleum gas site [237] sparse Gen. design of feedforward neural networks [18] speci ed Automating the layout of network diagrams with visual organization [403] speed GAs and communication link design: constraints and operators [402] { GAs and communication link design: theoretical considerations [257] stable Fast and hybrid GA for the ratio-cut partitioning problem on hypergraphs [102] Stack A GA Appr. to the Con guration of Filters [61] stage Design of astronomical telescopes of two mirrors using GA in the of opt. [80] { GA in the role of a shell for structural evol. simulation at the conceptual design [432] stages Integrating design of fuzzy syst. using GA [445] Standard A Gen. Appr. to Cell Placement Using Meta-Genetic Parameter Opt. [446] Cell Placement and the GA [94] Cell Routing Opt. Using A GA [429] { Opt. by simulated evol. with appl. to cell placement [427] { Esp: A new cell placement package using simulated evol. [447] { Gasp - a GA for cell placement [154, 155] { Wolverines: cell placement on a network of workstations [434] standard cell A distr. GA for placement on a network of workstations [31] standard cell placement problem Use of recurrent networks and GAs for solving [345] standard-cell Perf. driven placement using the GA [301] { Timing driven GA for placement [293] { VLSI placement by par. hybrid simulated-annealing and GA [401] standing An evol. on the design of redundant manipulators [88] state Applying GAs to the assignment problem: a case study [277] { Designing GAs for the assignment problem [231] assignment for low-power FSM synthesis using gen. local search [229] { Pioneer: A new tool for coding of multi-level nite machines based on evol. prog. [304] statistical Appl. of GA for responce surface modeling in opt. design [383] { Par. opt. design method based on GA [455] Stepwise-overlapped par. annealing and its appl. to
oorplan design [181] stochastic Comb. opt. by evol. [443] evol. : a fast eective heuristics for some generic layout problems [129] Strategien Chip-Assembly bei der Layout-Synthese nach Floorplan-Vorgaben [369] strategies Adaptive search to maintain diverse global search for preliminary and whole syst. design [120] { Comparison of dierent opt. in the design of electromagnetic devices [10] { Design opt. with advanced gen. search [125] { Gen. search in multicriterion opt. design [420] { Opt. of the layout of trusses combining based on Mitchell's theorem and on the biological principles of evol. [414] strategy Experimentation with an adaptive search for solving a key-board design/con guring problem [78] { Opt. pole shape design for the reduction of cogging torque of brushless DC motor using evol. [362] { Shape opt. of closed slot type permanent magnet motors for cogging torque reduction using evol. [86] { The development of a dual-agent for ecient search across whole syst. eng. design hierarchies [463, 474] strongest Proposal of constructive alg. and discrete shape design of the column [175] structural Computer aided opt. design of syst. using GAs [80] { GA in the role of a shell for evol. simulation at the conceptual design stage
Genetic algorithms and CAD [212] { GA-based topology design with compliance and manufacturability considerations [126] { GAs in topology opt. [378] cell-based VLSI circuit design using a GA [426] opt. with the GA [390] synthesis of cell-based VLSI circuits using a multiobjective geentic alg. [386] synthesis of cell-based VLSI circuits using a multiobjective GA [470] { Shape Rep. for evol. opt. and ident. in mechanics [425] { Towards opt. via the GA [306] structural design Survey of discrete variable opt. for [327] structure Design of a compact cluster by using GAs [145] { Designer GAs: Gen. Alg. in Design [346] { Opt. of oor plate in railway passenger train by GA [136] { Sensor placement for on-orbit modal ident. of large space via a GA [220] Structure-based drug design ten years on [435, 436] structured Designing appl. -speci c neural networks using the GA [156] { Eng. opt. s using the GA [317] structures Appl. of GA to aesthetic design of bridge [123] { Appl. of the GA to easthetic design of dam [273] { Computer-assisted drug design: GAs and of molecular clusters of aromatic hydrocarbons and actinomycin Ddeoxyguanosine [112] { GAs for placing actuators on space [178] { Opt. placement of actuators in actively cntr. using GAs [55] { Using GAs to design laminated composite [144] { Using GAs to design [392] { Using gen. eng. to nd modular and activation functions for architectures of arti cial neural networks [253] structuring Evol. of neural networks by solving a binary problem [143] Strukturkomponenten Entwicklung von ComputerAlgorithmen zur Opt. von nach der Evol. stheorie [464] subsonic The potential of GAs for wing design [353] { Using Pareto GA for preliminary wing design [309] substation Opt. feeder routing and opt. sizing and placement using guided evol. SA [363] Subsystem GA's in decomposition based design - interactions through immune network simulation [305] suggest Using a GA to comb. libraries [37] Superquadrics parameter estimation from shading image using GA [127] Supply Locating Pressure Cntr. Elements for Leakage Minimization in Water Networks by GAs [275] support Adaptive search techniques for decision during preliminary eng. design [206] { Appl. of GA for the location opt. of beams [54] surfaces Gen. computation of geodesics on threedimensional curved [407] survey A of IIR adaptive ltering alg. [366] { GAs appl. to the physical design of VLSI circuits: A [306] of discrete variable opt. for structural design [361] survivable A distr. GA over a transputer based par. machine for communication netwodk Design [404] { A GA for network design [320] suunnittelussa Geneettiset alg. it neuroverkkojen opetuksessa ja rakenteen [287] switching Designing max-min propagation NNs by hyperplane [409] symbolic Compaction of layout using GAs [375, 385] synthesis An evol. appr. to syst. -level [193] { Applying simulated evol. to high level [214] { Circuit through gen. prog. [66] { DARWIN: analogue circuit based on GAs [50] { DARWIN: CMOS opamp by means of a GA [285] { Datapath using a problem-space GA [373] { Evol. of dynamical object emulator based on RBF neural network [182] { GAs for the opt. of integrated circuits [354] { Gen. techniques for low-power digital signal processing circuits [391] { Gen. techniques for low-power digital signal processing circuits [196] { Gen. -synthesis: Perf. -driven logic using gen. evol. [347] { High-level of data paths for easy testability [322] { High-level sch. and allocation using GAs [297] { High-level using GA [228] { Hybrid GAs with hyperplane A theoretical and empirical study
Permuted title index [393] { Integrated sch. , allocation and module sel. for designspace exploration in high-level [204] { On the of gate matrix layout [246] { Simultaneous type and dimensional of mechanisms by GAs [231] { State assignment for low-power FSM using gen. local search [390] { Structural of cell-based VLSI circuits using a multiobjective geentic alg. [386] { Structural of cell-based VLSI circuits using a multiobjective GA [85] { Use of automatically de ned functions and architecture-altering operations in automated circuit using gen. prog. [215] { VLSI circuit using a par. GA [375, 385] system-level An evol. appr. to synthesis [42] table The An illustration of evol. design using GAs [290] tabu search Polycell placement for analog LSI chip designs by GAs and [444] Tag Massiv par. e genetische Algorithmen, Beitrage zum der Informatik Erlangen 1993 [244] Taguchi method Opt. of GAs using the [230] tailored Evol. design of appl. neural networks [252] task Gen. sch. of graphs [356] { Solving pattern nesting problems with GAs employing decomposition and contact detection [275] techniques Adaptive search for decision support during preliminary eng. design [165] { Evol. and their appl. to eng. design [30] { GA for 3-valued transistor design [354] { Gen. synthesis for low-power digital signal processing circuits [391] { Gen. synthesis for low-power digital signal processing circuits [160] { Keyboard opt. using gen. [243] { Opt. based on the use of GAs (GAs) for logic impl. on FPGAs [374] { Partial automated design opt. based on adaptive search [278] { Towards opt. circuit layout using advanced search [60] technologies Use of gen. and neural in oil equipment computer-aided design [329] technology Improved mapping using a new appr. to Boolean matching [61] telescopes Design of astronomical of two mirrors using GA in the stage of opt. [337] test A gen. appr. to appl. time reduction for full scan circuits [254] { GA for sch. with dierent objectives [347] testability High-level synthesis of data paths for easy [82] testable A GA for the construction of small and highly OKFDD circuits [420] theorem Opt. of the layout of trusses combining strategies based on Mitchell's and on the biological principles of evol. [402] theoretical GAs and communication link speed design: considerations [228] { Hybrid GAs with hyperplane synthesis: A and empirical study [117, 118] theory GAs as a computational of conceptual design [371] { VLSI Physical Design Automation, and Practice [338] { VLSI Physical Design Automaton: and Practice [370] therapeutic Appl. of GAs to de novo design of peptides [Abstract of a poster] [482] three-dimensional A learning classi er syst. for shape opt. [54] { Gen. computation of geodesics on curved surfaces [483] shape opt. utilizing a learning classi er syst. [337] time A gen. appr. to test appl. reduction for full scan circuits [301] Timing driven GA for standard-cell placement [350] in uenced general-cell gen. oorplanner [381] timing-driven MCM/IC placement alg. featuring explicit design space exploration [132] Tolerance opt. using GA and approximated simulation [113] { Opt. allotment using a GA and truncated MonteCarlo simulation [219] tolerancing Opt. the link between design and manufacturing productivity [146] tool GAs as a computational for design [422] { New appr. for the nesting of two-dimensional shapes for press design [229] { Pioneer: A new for coding of multi-level nite state machines based on evol. prog.
45 [274] tools Adaptive search and their integration with eng. design [233] { The impl. of adaptive search to promote global search in eng. design [162] topological Opt. sizing, geometrical and design using a GA [475] topologique Alg. genetiques et Opt. [74] topology Automated WYSIWYG design of both the and component values of electrical circuits using gen. prog. [67] { GA for distr. syst. design [212] { GA-based structural design with compliance and manufacturability considerations [126] { GAs in structural opt. [227] { Gen. evol. of the and weight distribution of neural networks [454] { The design of a multipoint line for a communication network using GAs [78] torque Opt. pole shape design for the reduction of cogging of brushless DC motor using ES [362] { Shape opt. of closed slot type permanent magnet motors for cogging reduction using ES [280] TRACER-fpga a router for RAM-based FPGA's [360] tradeos Form/function/cost through adaptive search [346] train Opt. of oor plate structure in railway passenger by GA [310] training Evol. alg. in neural network design and { A review [223] { Neurogen. learning: An integrated method of designing and NNs [100] trajectoires Alg. genetiques paralleles pour la plani cation de de robots en environnement dynamique [192] trajectories A GA for minimum-time [30] transistor GA techniques for 3-valued design [288] transonic A par. GA for airfoil opt. [459, 335] { GAs appl. to the aerodynamic design of airfoils [479] airfoil design by means of a GA [248] transportation Demand/supply relationship in network design problems: A GA appr. [361] transputer A distr. GA over a based par. machine for survivable communication netwodk Design [368] transputers Par. GAs implemented on [47] treatment GA appl. to radiotherapy planning [412] tree Evol. design for the opt. layout of networks [431] { Opt. layout of networks using GAs [113] truncated Opt. tolerance allotment using a GA and Monte-Carlo simulation [420] trusses Opt. of the layout of combining strategies based on Mitchell's theorem and on the biological principles of evol. [11] { Using GAs for opt. design of [122] Turbine preliminary design using arti cial intelligence and numerical opt. [90] preliminary design using GAs [207] two-bit GAP: a GA appr. to optimize decoder PLAs [49] two-dimensional Gen. operators for shape opt. [422] { New appr. for the nesting of shapes for press tool design [48] { The nesting of shapes using GAs [342] Two-stage simulated annealing methodology [45] type Generic building product model incorporating building info [362] { Shape opt. of closed slot permanent magnet motors for cogging torque reduction using ES [246] { Simultaneous and dimensional synthesis of mechanisms by GAs [281] uncertainty Gen. search for facility layout design under inter ows [22] { Syst. design under Evol. opt. of the gravity probe-B spacecraft [453] unequal GA opt. appl. to variations of the area facilities layout problem [341] Unequal-area facility layout by gen. search [263] uni cation SAGA: a of the GA with simulated annealing and its appl. to macro-cell placement [171] uni ed EnGENous: a appr. to design opt. [249] multidisciplinary optimum design method using GAs [419] Untersuchungen zur Anwendung einer grundlegenden Entwurfstheorie auf praktische Probleme der Leichtbaukonstruktion [77] Usage of back propagation networks in a CAD/CAM syst. [163] utilization The of the GA for the opt. -design of a pneumatic hydropower device
46 [483] utilizing Three-dimensional shape opt. a learning classi er syst. [469] { Zeroth-Order Shape Opt. a Learning Classi er Syst. [74] values Automated WYSIWYG design of both the topology and component of electrical circuits using gen. prog. [481] valvetrain Improving design of cam shape used in of internal-combustion engine using a GA [453] variations GA opt. appl. to of the unequal area facilities layout problem [398] Visual A GA Appr. to Model-based Half-tone Pattern Design [18] { Automating the layout of network diagrams with speci ed organization [372] VLSI A GA for physical design automation [355] { A gen. framework for the high-level opt. of low power DSP syst. [292] { An adaptive GA for circuit partitioning [57] { An extended EP alg. for channel routing [279] { Appl. of mutants as operators of GAs for optimising of and PCB elements placement on the basis of scanning area method [115] { Chip assembly in the PLAYOUT design syst. [14] { GA based design opt. of CMOS circuits [211] { GA for embedding a complete graph in a hypercube with a appl. [101] { GA for node partitioning problem and appl. in design [93] { GAs and circuit design [380] { Gen. framework for the high level opt. of low power DSP syst. [215] circuit synthesis using a par. GA [371] VLSI Physical Design Automation, Theory and Practice [338] Physical Design Automaton: Theory and Practice [293] VLSI standard-cell placement by par. hybrid simulatedannealing and GA [62] { Perf. and area opt. of syst. using GAs [378] VLSI circuit Structural cell-based design using a GA [265] VLSI circuits A GA for chennel routing in [413] { A GA for the routing of [366] { GAs appl. to the physical design of A survey [390] { Structural synthesis of cell-based using a multiobjective geentic alg.
Genetic algorithms and CAD [386] { Structural synthesis of cell-based using a multiobjective GA [344] VLSI systems Perf. and area opt. of using GAs [384] VLSI-layout An adaptive par. GA for opt. [302] VLSI-layouts Gen. design of [127] Water Locating Pressure Cntr. Elements for Leakage Minimization in Supply Networks by GAs [227] weight Gen. evol. of the topology and distribution of neural networks [369] whole Adaptive search strategies to maintain diverse global search for preliminary and syst. design [334] { Diverse evol. search for preliminary syst. design [298] { Diverse evol. search for preliminary syst. design [86] { The development of a dual-agent strategy for ecient search across syst. eng. design hierarchies [59] wind turbine Appl. of a GA to design [464] wing The potential of GAs for subsonic design [353] { Using Pareto GA for preliminary subsonic design [24] wire routing An evol. method for automatic [154, 155] Wolverines standard cell placement on a network of workstations [271] Workbench Cerius2 Release 1.6, Drug Discovery QSAR+ User's Reference, Chapter 16: Introduction to gen. function approximation [169] workplace A knowledge-based syst. for opt. layouts using a GA [168] { An expert syst. for ergonomic design using a GA [434] workstations A distr. GA for standard cell placement on a network of [154, 155] { Wolverines: standard cell placement on a network of [439] world Fittest lters in real [114] worst-case Distribution-syst. harmonic design using a GA [415] Wright The brothers, GAs, and the design of complex syst. [74] WYSIWYG Automated design of both the topology and component values of electrical circuits using gen. prog. [220] years Structure-based drug design ten on [469] Zeroth-Order Shape Opt. Utilizing a Learning Classi er Syst.
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[450] Kar Yan Tam. Genetic algorithms, function optimization, and facility design. European Journal of Operational Research, 63(2):322{346, December 1992. ga:Tam92a. [451] Kar Yan Tam. A genetic algorithm approach to the facility layout problem. In K. H. Phua, C. M. Wang, W. Y. Yeong, T. Y. Leong, H. T. Loh, K. C. Tan, and F. S. Chou, editors, Optimization Techniques and Applications (ICOTA'92), Proceedings, volume 2, pages 976{981, Singapore, 3.-5. June 1992. World Scienti c, Singapore. ga:Tam92b. [452] H. Tansri and K. C. Chan. A quantitative approach to the plant layout problem using genetic algorithms. In P. W. H. Chung, G. Lovegrove, and M. Ali, editors, Proceedings of the Sixth International Conference in Industrial and Engineering Applications of Arti cial Intelligence and Expert Systems, pages 403{406, Edinburgh, Scotland, 1.-4. June 1993. Gordon and Breach Science, Langhorne. y(P62941/95) ga:Tansri93a. [453] David M. Tate and Alice E. Smith. Genetic algorithm optimization applied to variations of the unequal area facilities layout problem. In D. A. Mitta, L. I. Burke, J. R. English, J. Gallimore, G. A. Klutke, and G. L. Tonkay, editors, 2nd Industrial Engineering Research Conference Proceedings, pages 335{339, Los Angeles, CA, 26.-27. May 1993. Industrial Engineering & Management Press. y(P57840/93 EI M067946/94) ga:Tate93c. [454] Faris M. Abuali, Dale A. Schoenefeld, and Roger L. Wainwright. The design of a multipoint line topology for a communication network using genetic algorithms. In Proceedings of the Seventh Oklahoma Conference on Arti cialBLIntelligence, pages 101{110, Stillwater, OK, 18.-19 November 1993. y(Wainwright) ga:Wainwright93c. [455] Youngtak Kim, Yuongjo Jang, and Myunghwan Kim. Stepwise-overlapped parallel annealing and its application to oorplan design. Computer Aided Design, 23(2):133{144, March 1991. y(EEA 37425/91) ga:YKim91. [456] Yejin Zhou. Genetic algorithm with qqualitative knowledge enchancement for layout design under continuous space formulation. PhD thesis, University of Illinois at Chicago, 1993. y(DAI 54/12) ga:YZhouThesis. [457] P. P. C. Yip and Yoh-Han Pao. A new optimizer for the facility layout problem. In IJCNN'93 [512], pages 1573{1576. y(CCA 36476/95) ga:Yip93b. [458] A. Chincarini. Ottimizzazione di cavita RF per acceleratori di particelle. Master's thesis, University of Genova?, Instituto Nazionale di Fisica Nucleare, 1994. y([461]) ga94aChincarini. [459] Domenico Quagliarella and A. DellaCioppa. Genetic algorithms applied to the aerodynamic design of transonic airfoils. In ?, editor, Proceedings of the 12th AIAA Applied Aerodynamics Conference, volume AIAA-94-1896, page ?, Colorado Springs, CO, ? 1994. American Institute of Aeronautics and Astronautics (AIAA). y([467]) ga94aQuagliarella. [460] Richard A. Smith. The use of genetic algorithms in shape design optimization. Internal Report 19, University of Edinburgh, Manufacturing Planning Group, 1994. y([56]) ga94aRASmith. [461] A. Chincarini, P. Fabbricatore, G. Gemme, R. Musenich, R. Parodi, and B. Zhang. Headway in cavity design through genetic algorithms. IEEE Transactions on Magnetics, 31(3):1566{1569, May 1995. (Proceedings og the Sixth Biennial IEEE Conference on Electromagnetics Field Computation (CEFC'94), Grenoble (France), 5.-7. July 1994) ga95aChincarini. [462] Georges Duponcheele and Derek G. Tilley. Cross-sectional and geometrical shape optimisation by means of genetic algorithm. In Alander [514], pages 43{68. ( available via anonymous ftp site ftp.uwasa.fi directory cs/1NWGA le Duponcheele.ps.Z ) ga95aDuponcheele. [463] Ryohei Ishida and Yoshihiko Sugiyama. Proposal of constructive algorithm and discrete shape design of the strongest column. AIAA Journal on Disc, 1(1):?, ? 1995. y(EI M112472/95 A95-19125) ga95aIshida. [464] Murray B. Anderson. The potential of genetic algorithms for subsonic wing design. In Proceedings of the Aircraft Engineering, Technology, and Operations Congress, page 12, Los Angeles, CA, 19.-21. September 1995. AIAA. y(A95-42794) ga95aMBAnderson. [465] Shigeru Obayashi and Susumu Takanashi. Genetic algorithm for aerodynamic inverse optimization problem. In IEE/IEEE Sheeld '95 [498], pages 7{12. y(ssq) ga95aObayashi. [466] J. Periaux, M. Sefrioui, B. Stouet, B. Mantel, and E. Laporte. Robust genetic algorithms for optimization problems in aerodynamic design. In Winter et al. [521], pages 371{396. ga95aPeriaux. [467] Carlo Poloni. Hybrid GA for multi objective aerodynamic shape optimization. In Winter et al. [521], pages 397{415. ga95aPoloni. [468] Domenico Quagliarella. Genetic algorithms applications in computational uid dynamics. In Winter et al. [521], pages 417{442. ga95aQuagliarella. [469] Robert A Richards. Zeroth-Order Shape Optimization Utilizing a Learning Classi er System. PhD thesis, Stanford University, 1995. y([483]) ga95aRichards.
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Notations
y(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, CCA = Computers & Control Abstracts, CTI = Current Technology Index, EI = The Engineering Index (A = Annual, M = Monthly), DAI = Dissertation Abstracts International, P = Index to Scienti c & Technical Proceedings, BackBib = Thomas Back's unpublished bibliography, Fogel/Bib = David Fogel's EA bibliography, etc * = only abstract seen. ? = data of this eld is missing (BiBTeX-format). The last eld in each reference item in Teletype font is the BiBTEXkey of the corresponding reference.
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Appendix A
Abbreviations
The following other abbreviations were used to compress the titles of articles in the permutation title index: 75
76
Genetic algorithms and CAD AI Alg. AL ANN(s) Appl. Appr. Cntr. Coll. Comb. Conf. CS(s) Distr. Eng. EP ES Evol. ExS(s) FF(s) GA(s) Gen. GP Ident. Impl. Int. ImPr JSS ML Nat. NN(s) Opt. OR Par. Perf. Pop. Proc. Prog. Prob. QAP Rep. SA Sch. Sel. Symp. Syst. Tech. TSP
= Arti cial Intelligence = Algorithm(s) = Arti cial Life = Arti cial Neural Net(work)(s) = Application(s), Applied = Approach(es) = Control, Controlled, Controlling, Controller(s) = Colloquium = Combinatorial = Conference = Classi er System(s) = Distributed = Engineering = Evolutionary Programming = Evolutionsstrategie(n), Evolution(ary) strategies = Evolution, Evolutionary = Expert System(s) = Fitness Function(s) = Genetic Algorithm(s) = Genetic(s), Genetical(ly) = Genetic Programming = Identi cation = Implementation(s) = International = Image Processing = Job Shop Scheduling = Machine Learning = Natural = Neural Net(work)(s) = Optimization, Optimal, Optimizer(s), Optimierung = Operation(s) Research = Parallel, Parallelism = Performance = Population(s), Populational(ly) = Proceedings = Programming, Program(s), Programmed = Problem(s) = Quadratic Assignment Problem = Representation(s), Representational(ly) = Simulated Annealing = Scheduling, Schedule(s) = Selection, Selectionism = Symposium = System(s) = Technical, Technology = Travel(l)ing Salesman Problem
Appendix B
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 diculties in interpreting the entries. For those not so familiar with BibTeX are given the following formats of the most common entry types. The optional elds are enclosed by "[ ]" in the format description. Unknown elds are shown by "?". y 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 Arti cial Systems. The University of Michigan Press, Ann Arbor, 1975.
Journal article
Author(s), Title, Journal, volume(number): rst 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. y.
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 Arti cial Intelligence (IJCAI-89), pages 768{774, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA. y.
Technical report
Author(s), Title, type and number, institute, year.
Example 77
78
Genetic algorithms and CAD Thomas Back, Frank Homeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms. Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992.