• DocumentCode
    2460187
  • Title

    Effective mutation rate for probabilistic models in evolutionary analog circuit design

  • Author

    Mühlenbein, Heinz ; Kureichik, Victor ; Zinchenko, Lyudmilla ; Mahnig, Thilo

  • Author_Institution
    GMD FZ Informationstechnik, Theor. Found. GMD Lab, St. Augustin, Germany
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    401
  • Lastpage
    406
  • Abstract
    This paper represents the following improvement of evolutionary analog circuit design on the base of the univariate marginal distribution algorithm. Experiments have indicated that the high mutation rate increases the success rate, although the computational expenses are increased as well. An effective mutation rate is considered with respect to a high success rate and small computational expenses. Experiments for analog arrays are discussed.
  • Keywords
    analogue integrated circuits; circuit CAD; circuit optimisation; evolutionary computation; probability; analog arrays; computational expense; computer aided circuit design; evolutionary analog circuit design; experiments; mutation rate; probabilistic models; univariate marginal distribution algorithm; Algorithm design and analysis; Analog circuits; Circuit optimization; Circuit synthesis; Circuit topology; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
  • Print_ISBN
    0-7695-1733-1
  • Type

    conf

  • DOI
    10.1109/ICAIS.2002.1048140
  • Filename
    1048140