Table of contents

  1. Front Matter
  2. Wolfgang Banzhaf, Frank Eeckman
    Pages 1-6
  3. W. J. Ewens, Alan Hastings
    Pages 7-17
  4. Guillemette Duchateau-Nguyen, Gérard Weisbuch, Luca Peliti
    Pages 27-52
  5. Eric Mjolsness, Charles D. Garrett, John Reinitz, David H. Sharp
    Pages 103-122
  6. Hans -Michael Voigt
    Pages 123-141
  7. Heinz Mühlenbein, Dirk Schlierkamp-Voosen
    Pages 142-168
  8. Back Matter

About these proceedings

Introduction

This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July 1992. This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index.

Keywords

algorithm algorithms artificial life computer evolution evolutionary algorithm game theory genetics optimization

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-59046-3
  • Copyright Information Springer-Verlag 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-59046-0
  • Online ISBN 978-3-540-49176-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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