• DocumentCode
    2805261
  • Title

    Modified evolution strategies with a diversity-based parent-inclusion scheme

  • Author

    Huang, Tao-Yuan ; Chen, Yung-Yaw

  • Author_Institution
    Inst. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    379
  • Lastpage
    384
  • Abstract
    There are two major variants of evolution strategies: the (μ, λ) evolution strategy and the (μ+λ) evolution strategy. Back et al., in a survey paper (1997), suggested that preference of either strategy is most likely problem-dependent, and that both strategies are special cases of the general (μ, κ, λ) evolution strategy, where κ denotes the maximum life span of an individual. In this paper, a diversity-based fuzzy parent-inclusion scheme is devised to make compromises between both strategies and thus retain advantages from each. Simulation results provided do manifest the virtue of this modified evolution strategy
  • Keywords
    evolutionary computation; fuzzy set theory; diversity-based fuzzy parent-inclusion scheme; maximum life span; modified evolution strategies; problem-dependent strategy preference; Evolution (biology); Evolutionary computation; Flowcharts; Fuzzy control; Genetic algorithms; Genetic mutations; Genetic programming; Optimization methods; Random number generation; Search methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2000. Proceedings of the 2000 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-6562-3
  • Type

    conf

  • DOI
    10.1109/CCA.2000.897454
  • Filename
    897454