Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23) - Softcover

9789051991802: Genetic Algorithms in Optimisation, Simulation and Modelling, (Frontiers in Artificial Intelligence and Applications , Vol 23)

Softcover

ISBN 10: 9051991800 ISBN 13: 9789051991802

Publisher: IOS Press, 1994

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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About the Author

This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.

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