Evolutionary Computing: AISB International Workshop Manchester, UK, April 7–8, 1997 Selected Papers

Sue Bedingfield, Stephen Huxford, Yen Cheung (auth.), David Corne, Jonathan L. Shapiro (eds.)3540634762, 9783540634768

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.

---

Table of contents :
Simulating pricing behaviours using a genetic algorithm….Pages 1-9
Biologically inspired computational ecologies: A case study….Pages 11-29
Modelling bounded rationality using evolutionary techniques….Pages 31-42
The abstract theory of evolution of the living….Pages 43-51
An evolutionary algorithm for single objective nonlinear constrained optimization problems….Pages 53-64
On recombinative sampling….Pages 65-74
The evolution of mutation, plasticity and culture in cyclically changing environments….Pages 75-90
On the structure and transformation of landscapes….Pages 91-107
Island model genetic algorithms and linearly separable problems….Pages 109-125
Empirical validation of the performance of a class of transient detector….Pages 127-145
The contruction and evaluation of decision trees: A comparison of evolutionary and concept learning methods….Pages 147-161
Parallel distributed genetic programming applied to the evolution of natural language recognisers….Pages 163-177
Scheduling planned maintenance of the South Wales region of the National Grid….Pages 179-197
Solving generic scheduling problems with a distributed genetic algorithm….Pages 199-212
Directing the search of evolutionary and neighbourhood-search optimisers for the flowshop sequencing problem with an idle-time heuristic….Pages 213-225
Multiobjective genetic algorithms for pump scheduling in water supply….Pages 227-235
Use of rules and preferences for schedule builders in genetic algorithms for production scheduling….Pages 237-250
A Voxel based approach to evolutionary shape optimisation….Pages 251-261
Phase transition networks: A modelling technique supporting the evolution of autonomous agents’ tactical and operational activities….Pages 263-273
An evolutionary, agent-assisted strategy for conceptual design space decomposition….Pages 275-286
Task scheduling with use of classifier systems….Pages 287-306