• DocumentCode
    3091371
  • Title

    The mixed algorithm for vehicle routing problem with simultaneous pick-up and delivery

  • Author

    Zhang, Tao ; Zhang, Yue-jie ; Chen, Qi ; Sun, Yan

  • Author_Institution
    Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., Shanghai, China
  • Volume
    4
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1871
  • Lastpage
    1876
  • Abstract
    This paper designs a mixed algorithm called PSO_ACS to solve the vehicle routing problem with simultaneous pick-up and delivery. The ACS and PSO are combined by defining information heuristic factor and expectation heuristic factor as the functions of the particle´s positions, and the PSO algorithm is adopted to improve the heuristics parameters self-adaptively. This algorithm improves the convergent speed through changing the inertial weight of the PSO. The results of the numerical experiments on the Dethloff instances show that the mixed algorithm could get better value in efficient time.
  • Keywords
    goods distribution; particle swarm optimisation; transportation; vehicles; PSO algorithm; PSO_ACS; expectation heuristic factor; information heuristic factor; mixed algorithm; simultaneous pick-up and delivery; vehicle routing problem; Cybernetics; Machine learning; Routing; Vehicles; Vehicle routing problem with simultaneous pickup and delivery (VRPSPD); ant colony system (ACS); mixed integer programming; particle swarm optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212205
  • Filename
    5212205