Table of contents

  1. Front Matter
  2. Bruno Beaufils, Jean-Paul Delahaye, Philippe Mathieu
    Pages 33-41
  3. Dan Ashlock, John E. Mayfield
    Pages 73-84
  4. Joseph L. Breeden
    Pages 95-102
  5. Xin Yao, Yong Liu
    Pages 103-112
  6. Thomas Bäck, Agoston E. Eiben, Marco E. Vink
    Pages 123-136
  7. Paul M. Chau, Gerald Clark, Anthony Sebald
    Pages 137-146
  8. Kumar Chellapilla, Rao Sathyanarayan. S., Ahmad Hoorfar
    Pages 157-166
  9. Witold Kosiński, Martyna Weigl, Zbigniew Michalewicz
    Pages 167-178
  10. Nestor Rychtyckyj, Robert G. Reynolds
    Pages 179-190
  11. Sushil J. Louis, George Bebis, Satish Uthiram, Yaakov Varol
    Pages 199-208
  12. Shinin Zhu, Robert G. Reynolds
    Pages 209-218
  13. Nicholas Gessler
    Pages 229-238
  14. Ko-Hsin Liang, Xin Yao, Yong Liu, Charles Newton, David Hoffman
    Pages 291-300
  15. William G. Macready
    Pages 355-364
  16. Isaac K. Evans
    Pages 377-386
  17. Seelan Sundaralingam, Ken Sharman
    Pages 397-406
  18. Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen
    Pages 407-416
  19. Daniel K. Gehlhaar, Djamal Bouzida, Paul A. Rejto
    Pages 449-461
  20. Jeffrey O. Pfaffmann, Michael Conrad
    Pages 463-472
  21. Jon Brewster, Michael Conrad
    Pages 473-482
  22. Klaus Jaffe
    Pages 483-492

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Evolutionary Programming, EP98, held in San Diego, CA, USA, in March 1998.
The volume presents 81 revised full papers selected from an overwhelming number of submissions. The papers are organized in topical sections on economics, emergence and complex systems; issues and innovations in evolutionary computation; applications; evolution-based approaches to engineering design; examining representations and operators; evolutionary computation theory; evolutionary computation and biological modeling; particle swarm; and combinations of evolutionary and neural computation.


Evolution Strategies Evolutionary Programming Genetic Algorithms Genetic Programming algorithms complex systems evolution evolutionary computation modeling programming

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64891-8
  • Online ISBN 978-3-540-68515-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site