• DocumentCode
    519701
  • Title

    Application of adaptive hybrid sequences niche artificial fish swarm algorithm in vehicle routing problem

  • Author

    Ma, Xin

  • Author_Institution
    Sch. of Manage. & Economic, North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    Analysis the general vehicle routing problem (VRP) of distribution in logistics, and the corresponding mathematical model is established. The adaptive hybrid sequences niche artificial fish swarm algorithm (AHSN-AFSA) is introduced, and study on how to apply the algorithm to solve the vehicle routing problem. The concept of ecological niche is also being introduced in order to overcome the shortcoming of traditional artificial fish swarm algorithm to obtain optimal solution. Simulation results show that the new algorithm has solved fast, stable performance and so on.
  • Keywords
    logistics; mathematical analysis; particle swarm optimisation; AHSN-AFSA; adaptive hybrid sequences niche; artificial fish swarm algorithm; ecological niche; logistics; mathematical model; vehicle routing problem; Costs; Energy management; Logistics; Marine animals; Marine vehicles; Mathematical model; Mathematics; Optimal scheduling; Routing; Time factors; Vehicle Routing Problem (VRP); adaptive hybrid sequences niche artificial fish swarm algorithm; combinational optimization; logistics distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497704
  • Filename
    5497704