Representations for Genetic and Evolutionary Algorithms / Edition 2

Representations for Genetic and Evolutionary Algorithms / Edition 2

by Franz Rothlauf
     
 

ISBN-10: 3642064108

ISBN-13: 9783642064104

Pub. Date: 10/14/2010

Publisher: Springer Berlin Heidelberg

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

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Overview

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.

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Product Details

ISBN-13:
9783642064104
Publisher:
Springer Berlin Heidelberg
Publication date:
10/14/2010
Edition description:
Softcover reprint of hardcover 2nd ed. 2006
Pages:
325
Product dimensions:
6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

Introduction.- Representations for Genetic and Evolutionary Algorithms.- Three Elements of a Theory of Representations.- Time-Quality Framework for a Theory-Based Analysis and Design of Representations.- Analysis of Binary Representations of Integers.- Analysis and Design of Representations for Trees.- Analysis and Design of Search Operators for Trees.- Performance of Genetic and Evolutionary Algorithms on Tree Problems.- Summary and Conclusions.

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