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Progress in Evolutionary Computation

AI '93 and AI '94 Workshops on Evolutionary Computation, Melbourne, Victoria, Australia, November 16, 1993, Armidale, NSW, Australia, November 21-22, 1994. Selected Papers

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Xin Yao
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 956)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: EvoWorkshops 1993. EvoWorkshops 1994.

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Table of contents (21 papers)

  1. Front Matter

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  2. The effect of function noise on GP efficiency

    • Jack Y. B. Lee, P. C. Wong
    Pages 1-16

  3. Genetic approaches to learning recursive relations

    • P. A. Whigham, R. I. McKay
    Pages 17-27

  4. An application of Genetic Programming to the 4-Op problem using map-trees

    • Tevfik Aytekin, E. Erkan Korkmaz, H. Altay Güvenir
    Pages 28-40

  5. Direct replacement: A Genetic Algorithm without mutation which avoids deception

    • Jon Rowe, Ian East
    Pages 41-48

  6. Competitive evolution: A natural approach to operator selection

    • Q. Tuan Pham
    Pages 49-60

  7. Emergent collective computational abilities in interacting particle systems

    • Zhong Zhang, Shuo Bai, Guojie Li
    Pages 61-72

  8. A perspective on evolutionary computation

    • Zbigniew Michalewicz
    Pages 73-89

  9. An experimental study of N-Person Iterated Prisoner's Dilemma games

    • Xin Yao, Paul J. Darwen
    Pages 90-108

  10. A systolic architecture for high speed hypergraph partitioning using a genetic algorithm

    • Heming Chan, Pinaki Mazumder
    Pages 109-126

  11. Development of hybrid optimisation techniques based on genetic algorithms and simulated annealing

    • Kit Po Wong, Yin Wa Wong
    Pages 127-154

  12. Development of parallel hybrid optimisation techniques based on genetic algorithms and simulated annealing

    • Kit Po Wong, Yin Wa Wong
    Pages 155-165

  13. Genetic algorithms for cutting stock problems: With and without contiguity

    • Robert Hinterding, Lutfar Khan
    Pages 166-186

  14. GASBOR: A genetic algorithm for switchbox routing in integrated circuits

    • Jens Lienig, K. Thulasiraman
    Pages 187-200

  15. The calculus of self-modifiable algorithm based evolutionary computer network routing

    • Davika Seunarine, Eugeniusz Eberbach
    Pages 201-224

  16. Evolving robot strategy for open ended game

    • Tomonori Sugiyama, Takashi Kido, Masakazu Nakanishi
    Pages 225-235

  17. An evolutionary approach to adaptive model-building

    • Zhengjun Pan, Lishan Kang, Jun He, Yong Liu
    Pages 236-244

  18. Training neural networks with influence diagrams

    • Alexei Manso CorrÊa Machado, Mário Fernando Montenegro Campos
    Pages 245-256

  19. A behavioural theory of intelligent machines as a framework for the analysis of adaptation

    • Craig A. Lindley
    Pages 257-275

  20. On evolving robust strategies for iterated prisoner's dilemma

    • P. J. Darwen, X. Yao
    Pages 276-292
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  1. Progress in Evolutionary Computation

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About this book

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.

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