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Evolutionary Computing

AISB Workshop, Brighton, U.K., April 1 - 2, 1996. Selected Papers

  • Conference proceedings
  • © 1996

Overview

Editors:
  1. Terence C. Fogarty
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1143)

Included in the following conference series:

Conference proceedings info: AISB EC 1996.

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Table of contents (23 papers)

  1. Front Matter

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  2. Fast evolutionary learning of minimal radial basis function neural networks using a genetic algorithm

    • Brian Carse, Terence C. Fogarty
    Pages 1-22

  3. Evolutionary design of synthetic routes in chemistry

    • Hugh M. Cartwright, Julie A. Hopkins
    Pages 23-38

  4. A genetic algorithm for job-shop problems with various schedule quality criteria

    • Hsiao -Lan Fang, David Corne, Peter Ross
    Pages 39-49

  5. Two applications of genetic algorithms to component design

    • Phil Husbands, Giles Jermy, Malcolm McIlhagga, Robert Ives
    Pages 50-61

  6. Characterizing signal behaviour using genetic programming

    • Per Jonsson, Jonas Barklund
    Pages 62-72

  7. Spatial reasoning with genetic algorithms an application in planning of safe Liquid Petroleum Gas sites

    • Ken Lunn, Caroline Johnson
    Pages 73-84

  8. Restricted evaluation genetic algorithms with Tabu search for optimising Boolean functions as multi-level AND-EXOR networks

    • Julian. F. Miller, Peter Thomson
    Pages 85-101

  9. Generation of structured process models using Genetic Programming

    • Hartmut Pohlheim, Peter Marenbach
    Pages 102-109

  10. Genetic Programming for feature detection and image segmentation

    • Riccardo Poli
    Pages 110-125

  11. A temporal view of selection and populations

    • Sam Sandqvist
    Pages 126-136

  12. Evolving software test data — GA's learn self expression

    • Jim Smith, T. C. Fogarty
    Pages 137-146

  13. Efficient Evolution Strategies for Exploration in mobile robotics

    • J. C. W. Sullivan, A. G. Pipe
    Pages 147-161

  14. Learning the “next” dimension

    • G. Bilchev, I. C. Parmee
    Pages 162-174

  15. Global selection methods for massively parallel computers

    • Jürgen Branke, Hans Christian Andersen, Hartmut Schmeck
    Pages 175-188

  16. Investigating multiploidy's niche

    • David Corne, Emma Collingwood, Peter Ross
    Pages 189-197

  17. Evolutionary divide and conquer for the set-covering problem

    • Luis F. González Hernández, David W. Corne
    Pages 198-208

  18. The simulation of localised interaction and learning in artificial adaptive agents

    • Robert Hoffmann, Nigel Waring
    Pages 209-222

  19. The Royal Road functions: description, intent and experimentation

    • R. J. Quick, V. J. Rayward-Smith, G. D. Smith
    Pages 223-235

  20. Adaptive Restricted Tournament Selection for the identification of multiple sub-optima in a multi-modal function

    • R. Roy, I. C. Parmee
    Pages 236-256
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About this book

This book contains a selection of papers presented at a workshop on evolutionary computing sponsored by the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996.
The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques.

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