Metaheuristics for Hard Optimization: Methods and Case Studies - Hardcover

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

Hardcover

ISBN 10: 354023022X ISBN 13: 9783540230229

Publisher: Springer, 2005

Synopsis

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 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.

Edition details

• Publisher: Springer
• Publication date: 2005
• Language: English
• ISBN 10: 354023022X
• ISBN 13: 9783540230229
• Binding: Hardcover
• Number of pages: 384