• DocumentCode
    510131
  • Title

    The Research of the Logistics Distribution Routing Optimization Based on Immune Genetic Algorithm

  • Author

    Zhaoqiang, Chen ; Minde, Shen

  • Author_Institution
    Shandong Inst. of Light Ind., Jinan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    449
  • Lastpage
    452
  • Abstract
    The logistics distribution routing optimization is a very active domain. In view of the characteristics of the logistics distribution routing, it was discussed the routing optimization by the immune genetic algorithm. In this paper, the mathematical model was established, and the immune genetic algorithm was constructed for solving the optimization of the logistics distribution routing problem. Then the general steps of optimizing the vehicle routing based on immune genetic algorithm were designed. Finally, the algorithm was validated by experiment. By the experimental results, it was shown that the immune genetic algorithm was a feasible method for the optimization of the logistics distribution routing problem.
  • Keywords
    genetic algorithms; logistics; immune genetic algorithm; logistics distribution routing optimization; mathematical model; vehicle routing; Artificial intelligence; Computational intelligence; Computer industry; Evolution (biology); Genetic algorithms; Immune system; Logistics; Mathematical model; Routing; Vehicles; Antibody; Immune Genetic Algorithm; Mathematical Model; Routing Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.423
  • Filename
    5376263