• DocumentCode
    1644310
  • Title

    Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation

  • Author

    Hansen, Nikolaus ; Ostermeier, Andreas

  • Author_Institution
    Fachgebiet fur Bionik und Evolutionstechnik, Tech. Univ. Berlin, Germany
  • fYear
    1996
  • Firstpage
    312
  • Lastpage
    317
  • Abstract
    A new formulation for coordinate system independent adaptation of arbitrary normal mutation distributions with zero mean is presented. This enables the evolution strategy (ES) to adapt the correct scaling of a given problem and also ensures invariance with respect to any rotation of the fitness function (or the coordinate system). Especially rotation invariance, here resulting directly from the coordinate system independent adaptation of the mutation distribution, is an essential feature of the ES with regard to its general applicability to complex fitness functions. Compared to previous work on this subject, the introduced formulation facilitates an interpretation of the resulting mutation distribution, making sensible manipulation by the user possible (if desired). Furthermore it enables a more effective control of the overall mutation variance (expected step length)
  • Keywords
    genetic algorithms; matrix algebra; arbitrary normal mutation distributions; complex fitness functions; covariance matrix; covariance matrix adaptation; derandomised adaptation; evolution strategies; evolution strategy; evolutionary algorithms; mutation distribution; mutation distributions; rotation invariance; self-adaptation; strategy parameters; Covariance matrix; Electronic switching systems; Evolutionary computation; Genetic mutations; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-2902-3
  • Type

    conf

  • DOI
    10.1109/ICEC.1996.542381
  • Filename
    542381