Applied Evolutionary Algorithms in Java PDF
By:Robert Ghanea-Hercock
Published on 2003-04-30 by Springer Science & Business Media
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 This book is intended for students, researchers, and professionals interested in using evolutionary algorithms in their work. No mathematics beyond basic algebra and Cartesian graphs methods are required, as the aim is to encourage applying the Java toolkit to develop the power of these techniques.
This Book was ranked at 41 by Google Books for keyword Applied.
Book ID of Applied Evolutionary Algorithms in Java's Books is XY4rQJxHnisC, Book which was written byRobert Ghanea-Hercockhave ETAG "Bf7lGGwffQ0"
Book which was published by Springer Science & Business Media since 2003-04-30 have ISBNs, ISBN 13 Code is 9780387955681 and ISBN 10 Code is 0387955682
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Book which have "219 Pages" is Printed at BOOK under CategoryComputers
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