• DocumentCode
    2113948
  • Title

    A modified contract mapping genetic algorithm

  • Author

    Dunwei Gong ; Xiaoyan Sun

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Jiangsu
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    353
  • Abstract
    A novel closed crossing avoidance strategy is put forth considering the relation between diversity of evolution population and evolution times. Based on it, a modified contract mapping genetic algorithm (MCMGA) is presented. Not only can the algorithm converge to globally optimal solution but also it improves the speed of convergence. It is shown from simulation that the algorithm presented in this paper is efficient contrast with simple genetic algorithm and former contract mapping genetic algorithm.
  • Keywords
    convergence of numerical methods; genetic algorithms; closed crossing avoidance strategy; convergence speed; evolution population; evolution times; modified contract mapping genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7369-3
  • Type

    conf

  • DOI
    10.1109/ISIE.2002.1026092
  • Filename
    1026092
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2113948