Evolutionary Computing

1. Front Matter

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2. Simulating pricing behaviours using a genetic algorithm

   • Sue Bedingfield, Stephen Huxford, Yen Cheung

   Pages 1-9

3. Biologically inspired computational ecologies: A case study

   • Paul Devine, Ray Paton

   Pages 11-29

4. Modelling bounded rationality using evolutionary techniques

   • Bruce Edmonds, Scott Moss

   Pages 31-42

5. The abstract theory of evolution of the living

   • V. L. Kalmykov

   Pages 43-51

6. An evolutionary algorithm for single objective nonlinear constrained optimization problems

   • Hunter T. Albright, James P. Ignizio

   Pages 53-64

7. On recombinative sampling

   • Ian R. East

   Pages 65-74

8. The evolution of mutation, plasticity and culture in cyclically changing environments

   • Tony Hirst

   Pages 75-90

9. On the structure and transformation of landscapes

   • Tony Hirst

   Pages 91-107

10. Island model genetic algorithms and linearly separable problems

    • Darrell Whitley, Soraya Rana, Robert B. Heckendorn

    Pages 109-125

11. Empirical validation of the performance of a class of transient detector

    • Philip J. Jacob, Andrew D. Ball

    Pages 127-145

12. The contruction and evaluation of decision trees: A comparison of evolutionary and concept learning methods

    • H. C. Kennedy, C. Chinniah, P. Bradbeer, L. Morss

    Pages 147-161

13. Parallel distributed genetic programming applied to the evolution of natural language recognisers

    • Riccardo Poli

    Pages 163-177

14. Scheduling planned maintenance of the South Wales region of the National Grid

    • W. B. Langdon

    Pages 179-197

15. Solving generic scheduling problems with a distributed genetic algorithm

    • M. McIlhagga

    Pages 199-212

16. Directing the search of evolutionary and neighbourhood-search optimisers for the flowshop sequencing problem with an idle-time heuristic

    • Peter Ross, Andrew Tuson

    Pages 213-225

17. Multiobjective genetic algorithms for pump scheduling in water supply

    • Dragan A. Savic, Godfrey A. Walters, Martin Schwab

    Pages 227-235

18. Use of rules and preferences for schedule builders in genetic algorithms for production scheduling

    • K. J. Shaw, P. J. Fleming

    Pages 237-250

19. A Voxel based approach to evolutionary shape optimisation

    • Peter Baron, Robert Fisher, Andrew Sherlock, Frank Mill, Andrew Tuson

    Pages 251-261

20. Phase transition networks: A modelling technique supporting the evolution of autonomous agents' tactical and operational activities

    • Anthony G. Deakin, Derek F. Yates

    Pages 263-273

This book constitutes the refereed post-workshop proceedings of the AISB International Workshop on Evolutionary Computing, held in Manchester, UK, in April 1997.
The 22 strictly reviewed and revised full papers presented were selected for inclusion in the book after two rounds of refereeing. The papers are organized in sections on evolutionary approaches to issues in biology and economics, problem structure and finite landscapes, evolutionary machine learning and classifier systems, evolutionary scheduling, and more techniques and applications of evolutionary algorithms.

• algorithm
• algorithms
• artificial intelligence
• biology
• evolution
• evolutionary algorithm
• evolutionary computation
• learning
• machine learning
• algorithm analysis and problem complexity

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