Articoli correlati a Applied Evolutionary Algorithms in Java
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2012
- ISBN 10 1468495267
- ISBN 13 9781468495263
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine236
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Applied Evolutionary Algorithms in Java
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Applied Evolutionary Algorithms in Java
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 236 pp. Englisch. Codice articolo 9781468495263
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Applied Evolutionary Algorithms in Java
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ISBN 10: 1468495267
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9781468495263
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 appliying t. Codice articolo 4205309
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