• DocumentCode
    2246913
  • Title

    Optimization of logistics distribution routing problem based on improved ant colony algorithm

  • Author

    Han, Na ; Ji, Xiang-Jun

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    5
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2261
  • Lastpage
    2265
  • Abstract
    The optimization of logistics distribution routing, which played an important role in the logistics distribution system, needed to be solved by a fast and effective algorithm. Based on analyzing the optimization question of logistics distribution routing and the basic model of ant colony algorithm the paper improved many aspects of the ant colony algorithm to optimize the searching ability and speed up the convergence rate. Satisfied computational results on given problems were reported, which showed that the improved ant colony algorithm was useful and effective.
  • Keywords
    goods distribution; logistics; optimisation; ant colony algorithm; logistics distribution routing problem; optimization; searching ability; Algorithm design and analysis; Heuristic algorithms; Logistics; Machine learning; Optimization; Routing; Vehicles; Ant colony algorithm; Logistics distribution; Routing optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580646
  • Filename
    5580646