Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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About this book
Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics.
The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.
This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.
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Keywords
Table of contents (21 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Metaheuristics for Hard Optimization
Editors: Patrick Siarry, Zbigniew Michalewicz
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-540-72960-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-72959-4Published: 19 November 2007
Softcover ISBN: 978-3-642-09206-0Published: 22 November 2010
eBook ISBN: 978-3-540-72960-0Published: 06 December 2007
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XVI, 481
Number of Illustrations: 167 b/w illustrations
Topics: Optimization, Artificial Intelligence, Operations Research, Management Science, Engineering Design, Theory of Computation