Metaheuristics for Hard Optimization e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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 ...
E-bog
436,85 DKK
Forlag
Springer
Udgivet
16 januar 2006
Genrer
Management and management techniques
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783540309666
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.