• DocumentCode
    3389473
  • Title

    Special factor backtracking algorithm for optimizing

  • Author

    Li, Wang ; Dong, Li

  • Author_Institution
    Comput. Center of Qiqihar Univ., Qiqihar, China
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Firstpage
    27
  • Lastpage
    30
  • Abstract
    The ant colony algorithm has slow convergence speed and very easily falls in local optimal solutions. Based on the Max-Min Ant System and the mutation ant colony algorithm, a special factor backtracking algorithm has been developed in this work and is used after ant colony algorithm for optimal solutions. The experiments show that 2 percentage can be achieved by a special factor backtracking algorithm.
  • Keywords
    backtracking; convergence; minimax techniques; maxmin ant system; mutation ant colony algorithm; special factor backtracking algorithm; Intelligent computing; and special factor backtracking algorithm; ant colony algorithm; local optimal solution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-6834-8
  • Type

    conf

  • DOI
    10.1109/ICISS.2010.5655001
  • Filename
    5655001
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3389473