Metaheuristics for Hard Optimization: Methods and Case Studies

Dréo, J. A. Pétrowski, P. Siarry & E. Taillard

ISBN 10: 354023022X / ISBN 13: 9783540230229

Published by Springer, 2005

About this Item

Hardcover, issued without a dustjacket, nearly new condition, a crossed-out name on the inside of the rear cover is the only remarkable flaw, illustrated throughout with diagrams ; ; 384 pages.

Seller Inventory # 053555

Bibliographic Details

• Title: Metaheuristics for Hard Optimization: Methods and Case Studies
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 354023022X
• ISBN 13: 9783540230229
• Binding: Hardcover
• Edition: 1st American Edition.
• Condition: Near Fine
• Seller catalogs:
  • Science

About this title

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.