Applied Evolutionary Algorithms in Java - Rilegato

Ghanea-Hercock, Robert

Rilegato

ISBN 10: 0387955682 ISBN 13: 9780387955681

Casa editrice: Springer-Verlag New York Inc., 2003

Riassunto

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.

Su questo libro

Recensione

From the reviews:

"The book of Ghaenea Hercock gives a good overview of many artificial intelligence approaches, developed in the course of the years. ... Students and computer scientists, who look for an overview of evolutionary algorithms, will receive a well readable composition of the most important procedures." (W. Brecht, Zentralblatt MATH, Vol.1041 (16), 2004)

"This succinct volume from Springer aims to provide an introduction to evolutionary algorithms (both genetic algorithms and genetic programming) from an application point of view, with specific emphasis on the use of the Java programming language. The latter emphasis marks out the book from other more general introductions to the subject ... . In all this is a useful introduction to a fascinating subject. ... it serves as a useful adjunct for those interested in applications and/or Java implementations." (TechBookReport, October, 2003)

Contenuti

* Introduction to evolutionary computation * Principles of Principles of natural evolution * Genetic algorithms * Genetic programming * Engineering examples using genetic algorithms * Future directions in evolutionary computing * Future of evolutionary computing * Appendixes * Index

Dettagli dell'edizione

• Editore: Springer-Verlag New York Inc.
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 0387955682
• ISBN 13: 9780387955681
• Rilegatura: Copertina rigida
• Numero di pagine: 219
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania