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Artificial Evolution

Third European Conference, AE '97, Nimes, France, October 22-24, 1997, Selected Papers

  • Conference proceedings
  • © 1998

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Editors:
  1. Jin-Kao Hao
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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 1363)

Included in the following conference series:

Conference proceedings info: AE 1997.

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the Third European Conference on Artificial Evolution, AE '97, held in Nimes, France, in October 1997. The volume presents 22 revised full papers carefully selected for inclusion together with an invited survey on the state-of-the-art in scatter search by Fred Glover. The papers are organized in topical sections on genetic-algorithm operators, applications in various areas, theoretical issues, methodologies, and evolvable hardware and robotics.

Keywords

Table of contents (23 papers)

  1. Front Matter

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  2. A template for scatter search and path relinking

    • Fred Glover
    Pages 1-51

  3. Representations, fitness functions and genetic operators for the satisfiability problem

    • Jens Gottlieb, Nico Voss
    Pages 53-68

  4. Genetic algorithms at the edge of a dream

    • Cathy Escazut, Philippe Collard
    Pages 69-80

  5. Mimetic evolution

    • Mathieu Peyral, Antoine Ducoulombier, Caroline Ravisé, Marc Schoenauer, Michéle Sebag
    Pages 81-94

  6. Adaptive penalties for evolutionary graph coloring

    • A. E. Eiben, J. K. van der Hauw
    Pages 95-106

  7. An agent system for learning profiles in broadcasting applications on the Internet

    • Cristina Cuenca, Jean-Claude Heudin
    Pages 107-121

  8. Application of evolutionary algorithms to protein folding prediction

    • A. Piccolboni, G. Mauri
    Pages 123-135

  9. Telephone network traffic overloading diagnosis and evolutionary computation techniques

    • Isabelle Servet, Louise Travé-Massuyès, Daniel Stern
    Pages 137-144

  10. Genetic algorithms for genetic mapping

    • Christine Gaspin, Thomas Schiex
    Pages 145-155

  11. Inverse problems for finite automata: A solution based on genetic algorithms

    • B. Leblanc, E. Lutton, J. -P. Allouche
    Pages 157-166

  12. Evolving Turing machines from examples

    • Julio Tanomaru
    Pages 167-180

  13. Genetic algorithms: Minimal conditions for convergence

    • Alexandru Agapie
    Pages 181-193

  14. An analysis of punctuated equilibria in simple genetic algorithms

    • Sangyeop Oh, Hyunsoo Yoon
    Pages 195-206

  15. SGA search dynamics on second order functions

    • Bart Naudts, Alain Verschoren
    Pages 207-221

  16. Asymptotical convergence rates of simple evolutionary algorithms under factorizing mutation distributions

    • Günter Rudolph
    Pages 223-233

  17. Wings were not designed to let animals fly

    • Eric Dedieu, Olivier Lebeltel, Pierre Bessière
    Pages 235-250

  18. Adaptation on the evolutionary time scale: A working hypothesis and basic experiments

    • Ralf Salomon, Peter Eggenberger
    Pages 251-262

  19. The frequency assignment problem: A look at the performance of evolutionary search

    • Christine Crisan, Heinz Mühlenbein
    Pages 263-273

  20. A critical and empirical study of epistasis measures for predicting GA performances: A summary

    • S. Rochet, G. Venturini, M. Slimane, E. M. El Kharoubi
    Pages 275-285
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