Table of contents

  1. Front Matter
  2. Sue Bedingfield, Stephen Huxford, Yen Cheung
    Pages 1-9
  3. Bruce Edmonds, Scott Moss
    Pages 31-42
  4. Ian R. East
    Pages 65-74
  5. Darrell Whitley, Soraya Rana, Robert B. Heckendorn
    Pages 109-125
  6. Philip J. Jacob, Andrew D. Ball
    Pages 127-145
  7. Dragan A. Savic, Godfrey A. Walters, Martin Schwab
    Pages 227-235
  8. Peter Baron, Robert Fisher, Andrew Sherlock, Frank Mill, Andrew Tuson
    Pages 251-261

About these proceedings

Introduction

This book constitutes the refereed post-workshop proceedings of the AISB International Workshop on Evolutionary Computing, held in Manchester, UK, in April 1997.
The 22 strictly reviewed and revised full papers presented were selected for inclusion in the book after two rounds of refereeing. The papers are organized in sections on evolutionary approaches to issues in biology and economics, problem structure and finite landscapes, evolutionary machine learning and classifier systems, evolutionary scheduling, and more techniques and applications of evolutionary algorithms.

Keywords

algorithm algorithms artificial intelligence biology evolution evolutionary algorithm evolutionary computation learning machine learning

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0027161
  • Copyright Information Springer-Verlag 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-63476-8
  • Online ISBN 978-3-540-69578-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book