Table of contents

  1. Front Matter
  2. Jack Y. B. Lee, P. C. Wong
    Pages 1-16
  3. P. A. Whigham, R. I. McKay
    Pages 17-27
  4. Tevfik Aytekin, E. Erkan Korkmaz, H. Altay Güvenir
    Pages 28-40
  5. Zbigniew Michalewicz
    Pages 73-89
  6. Tomonori Sugiyama, Takashi Kido, Masakazu Nakanishi
    Pages 225-235
  7. Zhengjun Pan, Lishan Kang, Jun He, Yong Liu
    Pages 236-244
  8. Alexei Manso CorrÊa Machado, Mário Fernando Montenegro Campos
    Pages 245-256

About these proceedings


This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia.
The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.


artificial intelligence combinatorial optimization evolution evolutionary computation genetic programming learning optimization programming robot

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-60154-8
  • Online ISBN 978-3-540-49528-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book