Overview
- Covers the important new developments in a fast-moving field
- New chapters on large neighborhood search, artificial immune systems and hybrid metaheuristics
- New editors are extremely prominent names in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 146)
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About this book
The rst edition of the Handbook of Metaheuristics was published in 2003 under the editorship of Fred Glover and Gary A. Kochenberger. Given the numerous - velopments observed in the eld of metaheuristics in recent years, it appeared that the time was ripe for a second edition of the Handbook. For different reasons, Fred and Gary were unable to accept Springer’s invitation to prepare this second e- tion and they suggested that we should take over the editorship responsibility of the Handbook. We are deeply honored and grateful for their trust. As stated in the rst edition, metaheuristics are “solution methods that orch- trate an interaction between local improvement procedures and higher level stra- gies to create a process capable of escaping from local optima and performing a robust search of a solution space. ” Although this broad characterization still holds today, many new and exciting developments and extensions have been observed in the last few years. We think in particular to hybrids, which take advantage of the strengths of each of their individual metaheuristic components to better explore the solution space. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to nd high-quality solutions to an ever-growing number of complex, ill-de ned re- world problems, in particular combinatorial ones.
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Keywords
Table of contents (21 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Metaheuristics
Editors: Michel Gendreau, Jean-Yves Potvin
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4419-1665-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 2
Number of Pages: XX, 648
Topics: Operations Research, Management Science, Artificial Intelligence, Operations Research/Decision Theory, Math Applications in Computer Science, Business and Management, general, Computational Science and Engineering