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  • Conference proceedings
  • © 1994

Parallel Problem Solving from Nature - PPSN III

International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9 - 14, 1994. Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 866)

Conference series link(s): PPSN: International Conference on Parallel Problem Solving from Nature

Conference proceedings info: PPSN 1994.

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Table of contents (61 papers)

  1. Front Matter

  2. Lamarckian evolution, the Baldwin effect and function optimization

    • Darrell Whitley, V. Scott Gordon, Keith Mathias
    Pages 5-15
  3. Control of parallel population dynamics by social-like behavior of GA-individuals

    • Dirk C. Mattfeld, Herbert Kopfer, Christian Bierwirth
    Pages 16-25
  4. Co-evolutionary constraint satisfaction

    • Jan Paredis
    Pages 46-55
  5. Genetic algorithms with multi-parent recombination

    • A. E. Eiben, P. -E. Raué, Zs. Ruttkay
    Pages 78-87
  6. Estimating the heritability by decomposing the genetic variance

    • Hideki Asoh, Heinz Mühlenbein
    Pages 98-107
  7. Convergence models of genetic algorithm selection schemes

    • Dirk Thierens, David Goldberg
    Pages 119-129
  8. Optimal population size under constant computation cost

    • Ryohei Nakano, Yuval Davidor, Takeshi Yamada
    Pages 130-138
  9. Long path problems

    • Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb
    Pages 149-158
  10. A modified edge recombination operator for the Travelling Salesman Problem

    • Anthony Yiu-Cheung Tang, Kwong-Sak Leung
    Pages 180-188
  11. Step-size adaptation based on non-local use of selection information

    • Andreas Ostermeier, Andreas Gawelczyk, Nikolaus Hansen
    Pages 189-198

Other Volumes

  1. Parallel Problem Solving from Nature — PPSN III

About this book

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.

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access