• DocumentCode
    3314658
  • Title

    Differential Evolution with Mixed Distribution Mutation Operation

  • Author

    Wang Shenwen ; Ding Lixin ; Yang Hua ; Xie Datong ; Guo Zhaolu ; Xie Chenwang

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    215
  • Lastpage
    218
  • Abstract
    To solve the premature convergence problem of the conventional differential evolution, an improved differential evolution algorithm is proposed in this paper. The proposed algorithm introduces mixed distribution mutation operation which combines gaussian distribution mutation and cauchy distribution mutation by a proportion for maintaining the balance of the exploration and exploitation. Experimental results show that the novel algorithm achieves better performance.
  • Keywords
    Gaussian distribution; convergence; differential equations; cauchy distribution mutation; conventional differential evolution,an; differential evolution; gaussian distribution mutation; mixed distribution mutation operation; premature convergence problem; Benchmark testing; Convergence; Educational institutions; Gaussian distribution; Optimization; Sociology; Statistics; Cauchy distribution; Differential Evolution; Gaussian distribution; Mix distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.130
  • Filename
    6300441