• DocumentCode
    1504318
  • Title

    On the performance of (1, λ)-evolution strategies for the ridge function class

  • Author

    Beyer, Hans-Georg

  • Author_Institution
    Dept. of Comput. Sci. XI, Dortmund Univ., Germany
  • Volume
    5
  • Issue
    3
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    218
  • Lastpage
    235
  • Abstract
    This paper presents the N-dependent analysis of the (1, λ)-evolution strategy (ES) with isotropic mutations for the ridge functions including the special cases of sharp and parabolic ridges. The new approach presented allows for the prediction of the dynamics in ridge direction as well as in radial direction. The central quantities are the corresponding progress rates which are determined in terms of analytical expressions. Its predictive quality is evaluated by ES simulations and the steady-state behavior is discussed in detail
  • Keywords
    genetic algorithms; statistical analysis; evolution strategy; induced order statistics; isotropic mutations; performance evaluation; progress rate; ridge function; scalability; Computer science; Electronic switching systems; Genetic mutations; Level set; Predictive models; Scalability; Solid modeling; Statistics; Steady-state; Testing;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/4235.930312
  • Filename
    930312