• DocumentCode
    1598191
  • Title

    An Improved Ant Algorithm for VRP with the Shortest Delivery Time In Distribution Center

  • Author

    Chen, Zixia

  • Author_Institution
    Zhejiang Gongshang Univ., Hangzhou
  • Volume
    4
  • fYear
    2007
  • Firstpage
    761
  • Lastpage
    765
  • Abstract
    An improved ant algorithm is brought up to minimize the delivery time of vehicle routing problem (VRP) in distribution center. Firstly VRP whose objective is to minimize the delivery time is given, then the optimal vehicle distribution route division approach of distribution center for given customer array is defined, and the ant colony algorithm for VRP with objective to minimize the delivery time is presented. The research of this paper is based on the information and application case of tobacco network in Hangzhou city. By investigating, we created two different system models. One is division of distribution route of distribution center, and the other is optimization of single vehicle route. The computational example tests and verifies the solution.
  • Keywords
    combinatorial mathematics; minimisation; tobacco industry; transportation; vehicles; Hangzhou city; ant colony algorithm; combinatorial optimization; delivery time minimisation; distribution center; optimal vehicle distribution route division approach; shortest delivery time; tobacco network; vehicle routing problem; Cities and towns; Costs; Elasticity; Knowledge management; Partitioning algorithms; Routing; Testing; Time factors; Transportation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.204
  • Filename
    4344774