Applied Evolutionary Algorithms in Java
By: by Robert Ghanea-Hercock
Publisher: Springer New York
Published: 2003
Place of publication: New York, NY
Language: eng
Format: [electronic resource] /
Number of pages: 219
ISBN-13: 9781468495263; 9780387216157
Subjects: Electronic data processing; Computer science; Artificial intelligence; Computer software
Description: 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.
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Mode of access: World Wide Web.
Table of contents: title: Introduction to evolutionary computation; title: Principles of evolutionary algorithms; title: Genetic algorithms; title: Genetic programming; title: Engineering examples using genetic algorithms; title: Future directions in evolutionary algorithms; title: Future of artificial evolution.