• DocumentCode
    532425
  • Title

    Application and research on Vehicle Routing Problem with Time Window based on dynamic adaptive ant colony algorithm

  • Author

    Hongling, Wang ; Yueshun, He ; Gang, Zheng

  • Author_Institution
    East China Inst. of Technol., Nanchang, China
  • Volume
    7
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Ant Colony Algorithm(ACO)has much more advantages in solving Vehicle Routing Problem with Time Window(VRPTW). However, with the increasing scale of the problem, ACO algorithm is liable to present some defects such as the long searching time and the high possibility of stagnation. To avoid these problems and solve the multi-objectives VRPTW problem, a new dynamic adaptive ACO algorithm which makes probability of the transfer and pheromone gene adapt to the searching process for optimality automatically is proposed in this paper. Simulation results show the adaptive ACO is very effective in solving VRPTW problem.
  • Keywords
    optimisation; search problems; transportation; vehicles; ACO algorithm; dynamic adaptive ant colony algorithm; multi-objectives VRPTW problem; searching process; time window; vehicle routing problem; Silicon; ACO; Adaptation; VRPTW; pheromone gene; transfer probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620501
  • Filename
    5620501