Overview
Presents a family of advanced methods of optimization, called Metaheuristics
Includes simulated annealing, tabu search, evolutionary and genetic algorithms, ant colonies
Contains case studies from engineering and operations research
Includes commented literature for each chapter
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Table of contents (11 chapters)
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Front Matter
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Presentation of the Main Metaheuristics
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Variants, Extensions and Methodological Advices
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Back Matter
Keywords
About this book
Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of the four most widely known metaheuristics:
• the simulated annealing method,
• tabu search,
• the evolutionary algorithms,
• ant colony algorithms.
Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed. In the second part, the book presents some other less widespread metaheuristics, then, extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed. The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing.
Authors and Affiliations
Bibliographic Information
Book Title: Metaheuristics for Hard Optimization
Book Subtitle: Methods and Case Studies
Authors: Johann Dréo, Patrick Siarry, Alain Pétrowski, Eric Taillard
DOI: https://doi.org/10.1007/3-540-30966-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-23022-9Published: 24 November 2005
Softcover ISBN: 978-3-642-06194-3Published: 12 February 2010
eBook ISBN: 978-3-540-30966-6Published: 16 January 2006
Edition Number: 1
Number of Pages: XII, 372
Additional Information: Originally published in French "Métaheuristiques pour l'optimisation difficile", 2003, Eyrolles, Paris, France
Topics: Optimization, Operations Research/Decision Theory, Artificial Intelligence, Mathematical and Computational Engineering, Engineering Economics, Organization, Logistics, Marketing, Control, Robotics, Mechatronics