• DocumentCode
    2192133
  • Title

    A Route-Nearest Neighbor Algorithm for Large-Scale Vehicle Routing Problem

  • Author

    He, Ruhan ; Xu, Weibin ; Wang, Ying ; Zhan, Wei

  • Author_Institution
    Coll. Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
  • fYear
    2010
  • fDate
    2-4 April 2010
  • Firstpage
    390
  • Lastpage
    393
  • Abstract
    We present a new neighbor search algorithm named route-nearest neighbor (RNN) for searching the next node in large-scale vehicle routing problem (VRP). The RNN algorithm is used to divide the area customers into several routes. The key step in the route construction is how to search the next node (i.e., neighbor). Different from the Nearest Neighbor (NN) algorithm that search the neighbor of the current node, the RNN algorithm searches the neighbor of route. The objective of the route is to design a group of geographically closed customers within capacity. The experiments were carried out on a real dataset with 6772 tobacco customers. The results demonstrate that the RNN algorithm has better geographically closed customers than traditional NN algorithm.
  • Keywords
    search problems; transportation; geographically closed customers; large scale vehicle routing problem; neighbor search algorithm; route nearest neighbor algorithm; Automotive engineering; Computer security; Information technology; Intelligent vehicles; Large-scale systems; Nearest neighbor searches; Neural networks; Power engineering and energy; Recurrent neural networks; Routing; Nearest Neighbor (NN); Route-Nearest Neighbor (RNN); Vehicle Routing Problem (VRP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
  • Conference_Location
    Jinggangshan
  • Print_ISBN
    978-1-4244-6730-3
  • Electronic_ISBN
    978-1-4244-6743-3
  • Type

    conf

  • DOI
    10.1109/IITSI.2010.144
  • Filename
    5453600