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Table of contents (13 chapters)
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Front Matter
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Fundamental Concepts and Models of Optimization
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Front Matter
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Basic Artificial Neural Network Models
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Front Matter
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Neural Algorithms for Optimization
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Academy of Mathematics and Systems, Institute of Applied Mathematics, Chinese Academy of Sciences, China
Xiang-Sun Zhang
Bibliographic Information
Book Title: Neural Networks in Optimization
Authors: Xiang-Sun Zhang
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4757-3167-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2000
Hardcover ISBN: 978-0-7923-6515-0Published: 31 October 2000
Softcover ISBN: 978-1-4419-4836-6Published: 07 December 2010
eBook ISBN: 978-1-4757-3167-5Published: 09 March 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XII, 371
Topics: Complex Systems, Operations Research/Decision Theory, Theory of Computation, Optimization, Algorithms, Statistical Physics and Dynamical Systems