• DocumentCode
    2231419
  • Title

    The summary of differential evolution algorithm and its improvements

  • Author

    Li Gao-yang ; Liu Ming-guang

  • Author_Institution
    Civil Eng. Coll. of Water Conservancy, South China Agric. Univ., Guangzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Differential evolution algorithm as a global optimization method in engineering field has broad applicability. In order to facilitate researchers studying differential evolution algorithm, this paper expounds, comparatives and analyses the differential evolution algorithm and its improved measures based on researching materials of differential evolution algorithm at home and abroad. It shows that differential evolution algorithm is simple, easy to use, various improvements have improved differential evolution algorithm´s optimization capability in varying degrees. The future should strengthen the basic theory and collaborative optimization ways research of differential evolution algorithm.
  • Keywords
    evolutionary computation; collaborative optimization; differential evolution algorithm; global optimization method; Biological system modeling; Chromium; Computational modeling; Evolutionary computation; differential evolution; improvements; principle; summary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579677
  • Filename
    5579677