DocumentCode
1652028
Title
A comparison of stochastic local search and population based search
Author
Mühlenbein, Heinz ; Mahnig, Thilo
Volume
1
fYear
2002
Firstpage
255
Lastpage
260
Abstract
For discrete optimization, the two basic search principles prevailing are stochastic local search and population based search. Local search has difficulties to get out of local optima. Here variable neighborhood search outperforms stochastic local search methods which accept worse points with a certain probability. Population based search performs best on problems with sharp gaps. It is outperformed by stochastic local search only when there are many paths to good local optima
Keywords
genetic algorithms; probability; search problems; discrete optimization; genetic algorithms; local optima; population based search; probability; stochastic local search; univariate marginal distribution algorithm; variable neighborhood search; Bayesian methods; Couplings; Genetic algorithms; Genetic mutations; Maximum likelihood estimation; Optimization methods; Physics; Probability distribution; Search methods; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006243
Filename
1006243
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