• DocumentCode
    2583707
  • Title

    A Genetic algorithm for a vehicle routing problem on a real application of Bakery delivery

  • Author

    Tunjongsirigul, Bell ; Pongchairerks, Pisut

  • Author_Institution
    Ind. Eng. Program, Thammasat Univ., Pathum Thani, Thailand
  • fYear
    2010
  • fDate
    7-10 May 2010
  • Firstpage
    214
  • Lastpage
    217
  • Abstract
    This research considers a vehicle routing problem of a real application taken from Thai Bakery Company. This vehicle routing problem is to find a route for delivering bakeries from a single depot to the company´s customers. The objective of the problem is to the delivery route such that minimize the total distance and, as a consequence, minimize the total number of vehicles used. To achieve the objective, this research applies Genetic algorithm (GA). Genetic algorithm (GA) has been applied to develop a modified-GA approach to make the routing in order to minimize the total corresponding distance. The GA proposed in this research is evaluated by using data taken from the real situation and compared with the typical routing technique. The comparison result reveals that the proposed GA generates better solution than the typical routing technique.
  • Keywords
    genetic algorithms; minimisation; transportation; Thai Bakery Company; bakery delivery application; distance minimization; genetic algorithm; vehicle minimization; vehicle routing problem; Electronic mail; Genetic algorithms; Industrial engineering; Routing; Vehicles; Bakery Delivery; Modified Genetic Algorithm; Single Depot Vehicle Routing Problem (SDVRP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Computer Technology (ICECT), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7404-2
  • Electronic_ISBN
    978-1-4244-7406-6
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2010.5479956
  • Filename
    5479956