ENGLISH

Metaheuristics for Hard Optimization: Simulated Annealing, Tabu Search, Evolutionary and Genetic Algorithms, Ant Colonies,… Methods and Case Studies

By Johann Dréo , Alain Pétrowski , Professor Patrick Siarry , Professor Eric Taillard (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2006
ISBN
978-3-540-23022-9, 978-3-540-30966-6
DOI
10.1007/3-540-30966-7
Language
english
Format
PDF
Filesize
6 MB (6100959 bytes)
Edition
1
Pages
372\350
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
LogisticsMarketing; Control EngineeringOptimization; Operations Research/Decision Theory;Organization

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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