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Könyv Metaheuristics for Hard Optimization Johann Dréo

Metaheuristics for Hard Optimization

Methods and Case Studies

Szerző: Johann Dréo, Alain Pétrowski, Patrick Siarry, Eric Taillard
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
18 946 Ft
Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the deta...

Információk a könyvről

Szerző
Johann Dréo, Alain Pétrowski, Patrick Siarry, Eric Taillard
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2005
oldal
372
EAN
9783540230229
ISBN
354023022X
Enbook ID
01559780
Kiadó
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Súly
1590
Méretek
155 x 235 x 26

Teljes leírás

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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