• 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