• DocumentCode
    1805621
  • Title

    Vehicle route optimization in logistics distribution based on extension-coded particle swarm algorithm

  • Author

    Tang, Huijun

  • Author_Institution
    Fac. of Inf. Eng., Ningbo Dahongying Coll., Ningbo, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2350
  • Lastpage
    2354
  • Abstract
    Particle swarm optimization algorithm is employed to solve the vehicle scheduling problem in logistics distribution. According to the limitation of vehicle capability and the route in vehicle scheduling, a new extension-coded particle swarm optimization algorithm which is based on the theory of extension is proposed to solve this problem better .The new algorithm is used to optimize the vehicle routing problems. Compared with the genetic algorithm and the general particle swarm algorithm, the computational results show that the new algorithm can effectively optimize the vehicle scheduling problem in logistics distribution.
  • Keywords
    goods distribution; logistics; particle swarm optimisation; scheduling; vehicles; extension coded particle swarm optimization; extension theory; logistics distribution; vehicle capability; vehicle routing problem; vehicle scheduling problem; Digital TV; extension; particle swarm optimization; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182444
  • Filename
    6182444