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Evolutionary Programming VI

6th International Conference, EP 97, Indianapolis, Indiana, USA, April 13-16, 1997, Proceedings

  • Conference proceedings
  • © 1997

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Editors:
  1. Peter J. Angeline
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  2. Robert G. Reynolds
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  3. John R. McDonnell
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  4. Russ Eberhart
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1213)

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Conference proceedings info: EP 1997.

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About this book

This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Programming, EP 97, held in Indianapolis, IN, USA, in April 1997.
The 36 revised full papers presented were carefully selected for inclusion in the proceedings. The papers are organized in sections on evolutionary methods for modeling and training, alternative frameworks for the computational study of evolutionary social systems, genetic programming: issues and applications, issues in evolutionary optimization, enhanced evolutionary operators, theory and analysis of evolutionary computations, issues in adaptability: theory and practice, and evolution and NP-hard problems.

Keywords

Table of contents (37 papers)

  1. Front Matter

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  2. Complexity formalisms, order and disorder in the structure of art

    • Mark W. Davis
    Pages 1-12

  3. Searching real-valued synaptic weights of Hopfield's associative memory using evolutionary programming

    • Akira Imada, Keijiro Araki
    Pages 13-22

  4. The application of evolutionary computation to selected problems in molecular biology

    • Gary B. Fogel
    Pages 23-33

  5. PEPNet: Parallel evolutionary programming for constructing artificial neural networks

    • Gerrit A. Riessen, Graham J. Williams, Xin Yao
    Pages 35-45

  6. Scaling behavior of the evolution strategy when evolving neuronal control architectures for autonomous agents

    • Ralf Salomon
    Pages 47-57

  7. Swarm: An object oriented simulation platform applied to markets and organizations

    • Benedikt Stefansson
    Pages 59-71

  8. An agent-based computational model for the evolution of trade networks

    • David McFadzean, Leigh Tesfatsion
    Pages 73-83

  9. Performance enhanced genetic programming

    • Chris Clack, Tina Yu
    Pages 85-100

  10. Comparing subtree crossover with macromutation

    • Peter J. Angeline
    Pages 101-111

  11. Musica ex machina: Composing 16th-century counterpoint with genetic programming and symbiosis

    • John Polito, Jason M. Daida, Tommaso F. Bersano-Begey
    Pages 113-123

  12. Design of a high-gain operational amplifier and other circuits by means of genetic programming

    • John R. Koza, David Andre, Forrest H. Bennett III, Martin A. Keane
    Pages 125-135

  13. Modeling speculators with genetic programming

    • Shu-Heng Chen, Chia-Hsuan Yeh
    Pages 137-147

  14. Fast evolution strategies

    • Xin Yao, Yong Liu
    Pages 149-161

  15. Airspace congestion smoothing by stochastic optimization

    • Daniel Delahaye, Amedeo R. Odoni
    Pages 163-176

  16. Evolian: Evolutionary optimization based on lagrangian with constraint scaling

    • Hyun Myung, Jong-Hwan Kim
    Pages 177-187

  17. Solving static and dynamic fuzzy constraint networks using evolutionary hill-climbing

    • Gerry Dozier, James Bowen, Abdollah Homaifar, Albert Esterline
    Pages 189-199

  18. Applying family competition to evolution strategies for constrained optimization

    • Jinn-Moon Yang, Ying-Ping Chen, Jorng-Tzong Horng, Cheng-Yan Kao
    Pages 201-211

  19. Multi-operator evolutionary programming: A preliminary study on function optimization

    • N. Saravanan, David B. Fogel
    Pages 213-221

  20. Supporting polyploidy in genetic algorithms using dominance vectors

    • Ben S. Hadad, Christoph F. Eick
    Pages 223-234
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