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Table of contents

  1. Front Matter
  2. Nicholas J. Radcliffe, Patrick D. Surry
    Pages 1-16
  3. Jonathan Shapiro, Adam Prügel-Bennett, Magnus Rattray
    Pages 17-27
  4. D. F. Yates, A. Fairley
    Pages 28-37
  5. John Coyne, Ray Paton
    Pages 103-114
  6. Colin R. Reeves
    Pages 115-130
  7. A. Kapsalis, G. D. Smith, V. J. Rayward-Smith
    Pages 131-149
  8. Mukesh J. Patel, Marco Dorigo
    Pages 180-194
  9. Dave Corne, Peter Ross, Hsiao-Lan Fang
    Pages 250-263
  10. Michael S. White, Stuart J. Flockton
    Pages 291-303
  11. David Beasley, David R. Bull, Ralph R. Martin
    Pages 304-319
  12. Back Matter

About these proceedings

Introduction

This volume is based on the Workshop on Evolutionary Computing held in Leeds, U.K. in April 1994 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behaviour. In addition to the 22 best papers presented at the workshop, there are two invited contributions by Ray Paton and Colin Reever.
The volume addresses several aspects of evolutionary computing, particularly genetic algorithms, and its applications, for example in search, robotics, signal processing, machine learning, and scheduling. The papers are organized in sections on theoretical and biological foundations, techniques, classifier systems, and applications.

Keywords

algorithm algorithms artificial intelligence evolution evolutionary computation genetic algorithm genetic algorithms intelligence learning machine learning robot robotics simulation

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-58483-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-58483-4
  • Online ISBN 978-3-540-48999-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site