Table of contents

  1. Front Matter
  2. Darrell Whitley, V. Scott Gordon, Keith Mathias
    Pages 5-15
  3. Dirk C. Mattfeld, Herbert Kopfer, Christian Bierwirth
    Pages 16-25
  4. Jan Paredis
    Pages 46-55
  5. A. E. Eiben, P. -E. Raué, Zs. Ruttkay
    Pages 78-87
  6. Hideki Asoh, Heinz Mühlenbein
    Pages 98-107
  7. Dirk Thierens, David Goldberg
    Pages 119-129
  8. Ryohei Nakano, Yuval Davidor, Takeshi Yamada
    Pages 130-138
  9. Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Pages 149-158
  10. Anthony Yiu-Cheung Tang, Kwong-Sak Leung
    Pages 180-188
  11. Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen
    Pages 189-198

About these proceedings

Introduction

This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994.
With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated.

Keywords

algorithm algorithms computer fuzzy fuzzy system fuzzy systems genetic algorithms genetic programming optimization programming

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-58484-6
  • Copyright Information Springer-Verlag 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-58484-1
  • Online ISBN 978-3-540-49001-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book