Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.
Surveys some of the most recent solution approaches involving genetic algorithms, simulated annealing, tabu search, evolutionary computation, greedy randomized adaptive search procedures (GRASP), scatter search, ant system, variable neighborhood search, guided local search, iterated local search, noising methods, threshold accepting, memetic algorithms, neural networks, and other hybrid and/or variant approaches for solving hard combinatorial problems
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Produktdetaljer
ISBN
9780387253824
Publisert
2005-05-06
Utgiver
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
12