Table of contents

  1. Front Matter
  2. Gerrit A. Riessen, Graham J. Williams, Xin Yao
    Pages 35-45
  3. David McFadzean, Leigh Tesfatsion
    Pages 73-83
  4. Chris Clack, Tina Yu
    Pages 85-100
  5. Peter J. Angeline
    Pages 101-111
  6. John Polito, Jason M. Daida, Tommaso F. Bersano-Begey
    Pages 113-123
  7. John R. Koza, David Andre, Forrest H. Bennett III, Martin A. Keane
    Pages 125-135
  8. Shu-Heng Chen, Chia-Hsuan Yeh
    Pages 137-147
  9. Xin Yao, Yong Liu
    Pages 149-161
  10. Daniel Delahaye, Amedeo R. Odoni
    Pages 163-176
  11. Gerry Dozier, James Bowen, Abdollah Homaifar, Albert Esterline
    Pages 189-199
  12. Jinn-Moon Yang, Ying-Ping Chen, Jorng-Tzong Horng, Cheng-Yan Kao
    Pages 201-211
  13. Ben S. Hadad, Christoph F. Eick
    Pages 223-234
  14. Stephen A. Stanhope, Jason M. Daida
    Pages 235-245
  15. Michèle Sebag, Marc Schoenauer, Caroline Ravisé
    Pages 247-261
  16. Thomas M. English
    Pages 285-295
  17. Peter J. Angeline
    Pages 335-345
  18. John R. McDonnell, Ward C. Page, David B. Fogel, Lawrence J. Fogel
    Pages 373-381
  19. Shyh-Chang Lin, Erik D. Goodman, William F. Punch III
    Pages 383-393
  20. V. William Porto, Lawrence J. Fogel
    Pages 419-429
  21. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Programming, EP 97, held in Indianapolis, IN, USA, in April 1997.
The 36 revised full papers presented were carefully selected for inclusion in the proceedings. The papers are organized in sections on evolutionary methods for modeling and training, alternative frameworks for the computational study of evolutionary social systems, genetic programming: issues and applications, issues in evolutionary optimization, enhanced evolutionary operators, theory and analysis of evolutionary computations, issues in adaptability: theory and practice, and evolution and NP-hard problems.


Evolutionäres Lernen Evolutionäres Optimieren Evolutionäres Programmieren Genetische Algorithmen Genetisches Programm evolutionary learning evolutionary optimization evolutionary programming genetic algorithms genetic programming modeling programming

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-62788-3
  • Online ISBN 978-3-540-68518-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site