Genetic Algorithms in Optimisation, Simulation and Modelling

Front Cover
Joachim Stender, E. Hillebrand, J. Kingdon
IOS Press, 1994 - Computers - 261 pages
One common criticism of Artificial Intelligence (AI) is the brittleness of the solutions it produces. The suggestion is that AI systems have not scaled well beyond the relatively limited domains to which they have been applied. In recent years there has been a marked trend in the AI community towards real-world applications. Techniques, inspired by AI's wider ambition to produce more intelligent machines, are not only gaining acceptance in other fields of scientific research, but also in areas such as business, commerce and industry. Moreover, there is a tendency for the techniques themselves to be developed, tested and refined within such applications. The contemporary theme seems to be, if a technique represents a genuine advance in software engineering, then by definition it has commercial advantage. Nowhere is this trend more evident than in the application of genetic algorithms (GAs). What has marked out as GAs as compared to other techniques is the surprising speed with which commercial organisations have shown an interest. One of the reasons for this is that GAs seem to offer an extremely effective, general-purpose, means for dealing with both complexity and scale. This book present a snapshot of some of the GA research taking place within Europe. In summery, the book attempts to emphasise the diversity of the GA approach by presenting detailed descriptions of GAs used for real-world optimisation and for complex modelling problems.
 

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Contents

Preface
1
Development Needs for Diverse Genetic Algorithm Design L Dekker and J Kingdon
9
The Theory of Breeding and the Breeder Genetic Algorithm H Mühlenbein
27
Motivation Architecture and Applications
65
Parallel Genetic Approach to Solve Automatic Process Allocation Within Massively
95
GAMEs Parallel Programming Model J L Ribeiro Filho and P Treleaven
111
Genetic Algorithms in Business E W Haasdijk R F Walker D Barrow
157
Genetic Rule Induction for Financial Decision Making S Goonatilake
185
Searching Favorable Protein Conformations with a Genetic Algorithm and a Multi
202
Local Modelling of the Brandenburg Area Using Genetic Algorithms
219
Author Index
261
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