Overview
- State of the art in knowledge incorporation in evolutionary computation
- Comprehensive and self-contained
- Includes a concise introduction to evolutionary algorithms as well as knowledge representation methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 167)
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Table of contents (24 chapters)
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Introduction
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Knowledge Incorporation in Initialization, Recombination and Mutation
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Knowledge Incorporation in Selection and Reproduction
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Knowledge Incorporation in Fitness Evaluations
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge Incorporation in Evolutionary Computation
Editors: Yaochu Jin
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-44511-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-22902-5Published: 20 October 2004
Softcover ISBN: 978-3-642-06174-5Published: 18 December 2010
eBook ISBN: 978-3-540-44511-1Published: 22 April 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIII, 548
Topics: Applications of Mathematics, Mathematical and Computational Engineering, Artificial Intelligence