Metaheuristics for Hard Optimization : Methods and Case Studies
Language: English
Published by Springer, 2010
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 53.67
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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 posedand solution methods are discussed. The last part concentrates onthree case studies from telecommunications, air traffic control, and vehicle routing.
Seller Inventory # 9783642061943
- Title
- Metaheuristics for Hard Optimization : Methods and Case Studies
- Author
- Alain Pétrowski
- Publisher
- Springer
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 364206194X
- ISBN 13
- 9783642061943
- Item weight
- 581 grams
- Dimensions
- 235x155x21 mm
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.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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