• DocumentCode
    2487852
  • Title

    GA Applied VRP Solving method for a Cooperative Logistics Network

  • Author

    Onoyama, T. ; Maekawa, Takuya ; Komoda, Natsuki

  • Author_Institution
    Hitachi Software Eng. Co., Ltd., Tokyo
  • fYear
    2006
  • fDate
    20-22 Sept. 2006
  • Firstpage
    1101
  • Lastpage
    1106
  • Abstract
    A method of solving the vehicle routing problem (VRP) that can obtain a highly optimal solution to achieve steady logistics operation is required to optimize a cooperative logistics network. To satisfy this requirement, a multi-stage GA and a method of multipoint evaluation are proposed. The multi-stage GA enables us to obtain an accurate solution under various conditions. Moreover, the method of multi-point evaluation can generate a delivery schedule that enables stable logistics operation. The experimental results revealed the method we propose can obtain accurate solutions to achieve stable operation.
  • Keywords
    genetic algorithms; logistics; vehicles; cooperative logistics network; multistage genetic algorithm; vehicle routing problem; Costs; Logistics; Optimization methods; Procurement; Production facilities; Routing; Software engineering; Supply chains; Transportation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2006. ETFA '06. IEEE Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    0-7803-9758-4
  • Type

    conf

  • DOI
    10.1109/ETFA.2006.355445
  • Filename
    4178278