Overview
Metaheuristics exhibit desirable properties like simplicity, parallelizability, and applicability
Contributing authors are leading researchers in the domain
Valuable for industrial practitioners, graduate students, and research academics
Includes supplementary material: sn.pub/extras
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Table of contents (16 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management.
The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics.
Reviews
“The book’s chapters are written by prominent researchers in the metaheuristics field. They include adequate references, and many contain annotated bibliographies. … This book will be useful for academicians, problem solvers in industry, practitioners, students, and researchers.” (S. V. Nagaraj, Computing Reviews, January, 2018)
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Metaheuristics
Editors: Patrick Siarry
DOI: https://doi.org/10.1007/978-3-319-45403-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-45401-6Published: 02 January 2017
Softcover ISBN: 978-3-319-83284-5Published: 07 July 2018
eBook ISBN: 978-3-319-45403-0Published: 24 December 2016
Edition Number: 1
Number of Pages: XVI, 489
Number of Illustrations: 112 b/w illustrations, 69 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Operations Research/Decision Theory, Optimization