• DocumentCode
    3573543
  • Title

    Evolutionary algorithm based on degradation mechanism

  • Author

    Gao Jianhua ; Li Yuanxiang ; Wang Lingling

  • Author_Institution
    Comput. Sch., Wuhan Univ., Wuhan, China
  • fYear
    2014
  • Firstpage
    4951
  • Lastpage
    4954
  • Abstract
    In this paper degradation mechanism is discussed to deal with the problem of adaptive population size in evolutionary algorithm. A new evolutionary algorithm based on the degradation mechanism of population size is proposed according to a simplified strategy. The experimental results show that the new algorithm has better performance than an evolutionary algorithm with constant size of population.
  • Keywords
    evolutionary computation; adaptive population size; degradation mechanism; evolutionary algorithm; Algorithm design and analysis; Convergence; Degradation; Evolutionary computation; Heuristic algorithms; Sociology; Statistics; adaptive evolutionary algorithm; degradation mechanism; variable population size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053553
  • Filename
    7053553
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3573543