Parallel Problem Solving from Nature — PPSN IV

International Conference on Evolutionary Computation — The 4th International Conference on Parallel Problem Solving from Nature Berlin, Germany, September 22–26, 1996 Proceedings

  • Editors
  • Hans-Michael Voigt
  • Werner Ebeling
  • Ingo Rechenberg
  • Hans-Paul Schwefel
Conference proceedings PPSN 1996

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1141)

Table of contents

  1. Front Matter
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  2. Computational brittleness and the evolution of computer viruses
    Paul-Michael Agapow
    Pages 1-11
  3. Evolutionary computing in multi-agent environments: Speciation and symbiogenesis
    Lawrence Bull, Terence C. Fogarty
    Pages 12-21
  4. Evolution strategies with subjective selection
    Michael Herdy
    Pages 22-31
  5. Emergent cooperation for multiple agents using genetic programming
    Hitoshi Iba
    Pages 32-41
  6. Evolution programs evolved
    Christian Jacob
    Pages 42-51
  7. Encoding scheme issues for open-ended artificial evolution
    Nick Jakobi
    Pages 52-61
  8. Hardware evolution at function level
    Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Tatsumi Furuya, Masaya Iwata, Tetsuya Higuchi
    Pages 62-71
  9. Coevolutionary life-time learning
    J. Paredis
    Pages 72-80
  10. Genetic programs and co-evolution
    Andreas Ronge, Mats G. Nordahl
    Pages 81-90
  11. Self-assemblage of gene nets in evolution via recruiting of new netters
    Alexander V. Spirov
    Pages 91-100
  12. A survey of intron research in genetics
    Annie S. Wu, Robert K. Lindsay
    Pages 101-110
  13. Analytical and numerical investigations of evolutionary algorithms in continuous spaces
    T. Asselmeyer, W. Ebeling, H. Rosé
    Pages 111-121
  14. On the asymptotic behavior of multirecombinant Evolution Strategies
    Hans-Georg Beyer
    Pages 122-133
  15. Are long path problems hard for genetic algorithms?
    Christian Höhn, Colin Reeves
    Pages 134-143
  16. Random tree generation for genetic programming
    Hitoshi Iba
    Pages 144-153
  17. Implicit formae in genetic algorithms
    Márk Jelasity, József Dombi
    Pages 154-163
  18. A probabilistic database approach to the analysis of genetic algorithms
    Anil Menon, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka
    Pages 164-173
  19. Mean field analysis of tournament selection on a random manifold
    Lutz Molgedey
    Pages 174-177
  20. From recombination of genes to the estimation of distributions I. Binary parameters
    H. Mühlenbein, G. Paaß
    Pages 178-187

About these proceedings

Introduction

This book constitutes the refereed proceedings of the International Conference on Evolutionary Computation held jointly with the 4th Conference on Parallel Problem Solving from Nature, PPSN IV, in Berlin, Germany, in September 1996.
The 103 revised papers presented in the volume were carefully selected from more than 160 submissions. The papers are organized in sections on basic concepts of evolutionary computation (EC), theoretical foundations of EC, modifications and extensions of evolutionary algorithms, comparison of methods, other metaphors, and applications of EC in a variety of areas like ML, NNs, engineering, CS, OR, and biology. The book has a comprehensive subject index.

Keywords

Adaptive Systeme Adaptive Systems Evolutionary Algorithms Evolutionary Computing Evolutionäre Algorithmen Genetisches Programmieren Neural Computation Neuronales Rechnen Partition Permutation Scheduling complexity genetic algorithms neural network sets

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-61723-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 1996
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-61723-5
  • Online ISBN 978-3-540-70668-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site