ENGLISH

Metaheuristics for Hard Optimization: Methods and Case Studies

By Johann Dréo , Alain Pétrowski , Patrick Siarry , Eric Taillard , A. Chatterjee

Book information

Publisher
Springer
Year
2005
ISBN
9783540230229, 3-540-23022-X
Open Library ID
OL9054975M
Language
english
Format
PDF
Filesize
4 MB (4676613 bytes)
Edition
1
Pages
372\372
Library
mexmat
Time added
2009-07-20 03:45:11

Description

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.

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