Metaheuristics for Hard Optimization: Methods and Case Studies - Brossura

Dréo, Johann; Pétrowski, Alain; Siarry, Patrick; Taillard, Eric

Brossura

ISBN 10: 364206194X ISBN 13: 9783642061943

Casa editrice: Springer, 2010

Riassunto

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.

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Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 364206194X
• ISBN 13: 9783642061943
• Rilegatura: Copertina flessibile
• Numero di pagine: 384
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