• DocumentCode
    1896260
  • Title

    Particle Swarm Optimization in Solving Vehicle Routing Problem

  • Author

    Shen, Hai ; Zhu, Yunlong ; Liu, Ting ; Jin, Li

  • Author_Institution
    Key Lab. of Ind. Inf., Chinese Acad. of Sci., Shenyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    287
  • Lastpage
    291
  • Abstract
    The vehicle routing problem (VRP) is a NP complete problem and is also a hot topic in the operational research. But traditional methods might suffer from slow convergence and the curse of large sizes, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO) is known to effectively solve engineering optimization problems. In this paper, the PSO in solving VRP is comprehensive surveyed from two basic aspects: the improved PSO algorithms and the particle encoding method. For each application, technical details that are required are all discussed. Finally, a summary is given together with suggestions for future research.
  • Keywords
    convergence; encoding; particle swarm optimisation; road vehicles; NP complete problem; VRP; convergence; heuristics-based swarm intelligence; operational research; particle encoding method; particle swarm optimization; vehicle routing problem; Automation; Computer industry; Educational institutions; Encoding; Industrial control; Informatics; Laboratories; Particle swarm optimization; Routing; Vehicles; Particle Swarm Optimization(PSO); Vehicle Routing Problem (VRP); distrete optimization; encoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.77
  • Filename
    5287655