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Artificial Evolution

European Conference, AE '95, Brest, France, September 4 - 6, 1995. Selected Papers.

  • Conference proceedings
  • © 1996

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Editors:
  1. Jean-Marc Alliot
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  2. Evelyne Lutton
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  3. Edmund Ronald
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  4. Marc Schoenauer
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  5. Dominique Snyers
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1063)

Included in the following conference series:

Conference proceedings info: AE 1995.

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About this book

This volume presents a collection of revised refereed papers selected from the contributions presented at the European Conference on Artificial Evolution, AE '95, held in Brest, France, in September 1995; also included are a few papers from the predecessor conference, AE '94.
Besides two invited surveys on evolution strategies and evolutionary programming, 24 full papers are presented. They are grouped into sections on evolutionary computation theory, genetic algorithm techniques, coevolution, neural networks, image processing, and applications to various optimization and other problems.

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Keywords

Table of contents (26 papers)

  1. Front Matter

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  2. Evolution strategies: An alternative evolutionary algorithm

    • Thomas Bäck
    Pages 1-20

  3. An introduction to evolutionary programming

    • David B. Fogel, Lawrence J. Fogel
    Pages 21-33

  4. An asymptotic theory for genetic algorithms

    • Raphaël Cerf
    Pages 35-53

  5. Towards a genetic theory of easy and hard functions

    • Gilles Venturini
    Pages 54-66

  6. GAS, a concept on modeling species in genetic algorithms

    • Márk Jelasity, József Dombi
    Pages 67-85

  7. A genetic algorithm with parallel steady-state reproduction

    • Cyril Godart, Martin Krüger
    Pages 86-99

  8. Induction-based control of genetic algorithms

    • Caroline Ravisé, Michèle Sebag, Marc Schoenauer
    Pages 100-119

  9. New multicriteria optimization method based on the use of a diploid genetic algorithm: Example of an industrial problem

    • Rémy Viennet, Christian Fonteix, Ivan Marc
    Pages 120-127

  10. Lotka Volterra coevolution at the edge of chaos

    • Paul Bourgine, Dominique Snyers
    Pages 129-144

  11. Evolution through cooperation: The Symbiotic Algorithm

    • Renaud Dumeur
    Pages 145-158

  12. The artificial evolution of cooperation

    • Nicolas Meuleau, Claude Lattaud
    Pages 159-180

  13. Immune system and fault-tolerant computing

    • S. Xanthakis, S. Karapoulios, R. Pajot, A. Rozz
    Pages 181-197

  14. Modular genetic neural networks for 6-Legged locomotion

    • Frédéric Gruau
    Pages 199-219

  15. An artificial life approach for the synthesis of autonomous agents

    • Olivier Michel
    Pages 220-231

  16. How long does it take to evolve a neural net?

    • Marc Schoenauer, Edmund Ronald
    Pages 232-244

  17. Mixed IFS: Resolution of the inverse problem using genetic programming

    • Guillaume Cretin, Evelyne Lutton, Jacques Levy-Vehel, Philippe Glevarec, Cédric Roll
    Pages 245-258

  18. Interactive evolution for simulated natural evolution

    • Jeanine Graf, Wolfgang Banzhaf
    Pages 259-272

  19. Building new tools for synthetic image animation by using evolutionary techniques

    • Jean Louchet, Michael Boccara, David Crochemore, Xavier Provot
    Pages 273-286

  20. A genetic algorithm with sharing for the detection of 2D geometric primitives in images

    • Evelyne Lutton, Patrice Martinez
    Pages 287-303
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