• DocumentCode
    2918686
  • Title

    Ant Colony System Algorithm for the Vehicle Routing Problem with Simultaneous Delivery and Pick-Up

  • Author

    Cabrera G, G. ; Peralta, Felipe

  • Author_Institution
    Inf. Eng. Sch., Pontificia Univ. Catolica de Valparaiso, Valparaiso, Chile
  • fYear
    2009
  • fDate
    24-26 Nov. 2009
  • Firstpage
    1575
  • Lastpage
    1580
  • Abstract
    Due to the increased demands for distribution/redistribution, recycling and repacking, there has been a significant change in the logistics process. This article presented an ant colony system (ACS) algorithm to solve a vehicle routing problem with simultaneous delivery and pick-up (VRPSDP). The objective of this problem is to determine the optimal set of routes to totally satisfy both the delivery and pick-up demand of the customer population. To solve the VRPSDP model, ACS approach is based in the pheromone strategy, inspired in the natural Ants behavior. This behavior is assigned to vehicles, which move along the route on which the pheromone intensity is strong. The ACS algorithm provides good solutions and shows that it is a competitive method related with other heuristics or meta-heuristics that have been proposed in literature.
  • Keywords
    goods distribution; logistics; optimisation; transportation; vehicles; ant colony system algorithm; customer population; distribution/redistribution; logistics process; natural ants behavior; pheromone intensity; pheromone strategy; recycling; repacking; simultaneous delivery and pick-up; vehicle routing problem; Automotive engineering; Distributed computing; Informatics; Information technology; Libraries; Logistics; Partitioning algorithms; Recycling; Routing; Vehicles; Ant Colony Systems (ACS); Vehicle Routing Problem with Simultaneous Pick-up and Delivery (VRPSDP); logistics process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5244-6
  • Electronic_ISBN
    978-0-7695-3896-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2009.264
  • Filename
    5369505