Representations for Genetic and Evolutionary Algorithms

By:

Franz Rothlauf

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Hardback

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Description

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given. This book breaks with this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-readable style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.

Release date NZ

January 10th, 2006

Author

Franz Rothlauf

Audience

Professional & Vocational

Edition

2nd ed. 2006

Illustrations

XVII, 325 p.

Pages

325

Dimensions

156x234x20

ISBN-13

9783540250593

Product ID

3202801

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Representations for Genetic and Evolutionary Algorithms

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