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Metaheuristics for Hard Optimization: Methods and Case Studies Softcover reprint of hardcover 1st ed. 2006 Edition
Author(s): Johann Dréo (Author), Alain Pétrowski (Author), Patrick Siarry (Author), Eric Taillard (Author), A. Chatterjee (Translator)
- Publisher: Springer
- Publication Date: 12 Feb. 2010
- Edition: Softcover reprint of hardcover 1st ed. 2006
- Language: English
- Print length: 384 pages
- ISBN-10: 364206194X
- ISBN-13: 9783642061943
Book Description
This text presents a family of advanced methods of optimization called Metaheuristics.
It covers a range of topics including simulated annealing, tabu search, evolutionary and genetic algorithms, and ant colony optimization. The book contains various case studies from engineering and operations research, and includes commented literature for each chapter.
Editorial Reviews
From the Back Cover
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.
