Metaheuristics for Hard Optimization : Methods and Case Studies
Language: English
Published by Springer, 2005
- Hardcover
- Used
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Used - Fine
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Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | 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.
Seller Inventory # 2921424/2
- Title
- Metaheuristics for Hard Optimization : Methods and Case Studies
- Author
- Pétrowski, Alain
- Publisher
- Springer
- Publication year
- 2005
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 354023022X
- ISBN 13
- 9783540230229
- Seller catalogs
- Bücher
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.
"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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