Applied Evolutionary Algorithms in Java

Robert Ghanea-Hercock

ISBN 10: 0387955682 / ISBN 13: 9780387955681

Published by Springer-Verlag New York Inc., 2003

About this Item

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Bibliographic Details

• Title: Applied Evolutionary Algorithms in Java
• Publisher: Springer-Verlag New York Inc.
• Publication Date: 2003
• Language: English
• ISBN 10: 0387955682
• ISBN 13: 9780387955681
• Binding: Hardback
• Condition: New

About this title

Synopsis

Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The JAVA-based toolkit provides an easy-to-use and essential visual interface, with integrated graphing and analysis tools. Topics and features: inclusion of a complete JAVA toolkit for exploring evolutionary algorithms; strong use of visualization techniques, to increase understanding; coverage of all major evolutionary algorithms in common usage; broad range of industrially based example applications; includes examples and an appendix based on fuzzy logic.

Product Description

This book is intended for students, researchers, and professionals interested in evolutionary algorithms at graduate and postgraduate level. No mathematics beyond basic algebra and Cartesian graphs methods is required, as the aim is to encourage applying the JAVA toolkit to develop an appreciation of the power of these techniques.