• DocumentCode
    2790557
  • Title

    Application in Vehicle Routing Problem of hybrid discrete particle swarm optimization

  • Author

    Wu, Huali ; Wu, Jinhua ; Shi, Jianhong

  • Author_Institution
    Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    Vehicle Routing Problem is the NP problem, and only can it get precise optimum when the problem is simple,so the intelligent elicitation algorithm becomes an important studied fleld.This paper adopts PSO to optimize VRP.The local search capacity of PSO is relatively weak,so this paper combines PSO with simulated annealing and designs the PSO based on SA using the characteristics that SA can accept some ungraded solution under the control of certain probability.Finally the algorithm is applied to the VRP,and the simulation results show that the PSO based on SA can get better optimization effect than SA or PSO single used,which validates the effectiveness of the method.
  • Keywords
    goods distribution; particle swarm optimisation; probability; search problems; simulated annealing; transportation; NP problem; PSO; intelligent elicitation algorithm; local search capacity; particle swarm optimization; simulated annealing; vehicle routing problem; Algorithm design and analysis; Particle swarm optimization; Routing; Search problems; Simulated annealing; Vehicles; Particle Swarm Optimization; Vehicle Routing Problem; optimization; simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5986865
  • Filename
    5986865