• DocumentCode
    1885693
  • Title

    Research on Vehicle Routing Problem Based on Immune Genetic Algorithm

  • Author

    Li, Yongpan ; Liu, Yong

  • Author_Institution
    Sch. of Manage., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The vehicle routing problem is proved to be a kind of NP problem. Immune genetic algorithm is proposed based on genetic algorithm and the use of the biological and immune system in this paper. A kind of group diversity maintaining strategy based on the density of individual is constructed. An immune operator and a immune memory library are applied to the algorithm. The experimental results of a VRP instance show that the algorithm is a preferable scheme for the VRP which can avoid the problem of "premature convergence" and prevent the possibility of the degradation of the optimal solution effectively.
  • Keywords
    artificial immune systems; convergence; genetic algorithms; transportation; NP problem; VRP instance; biological system; group diversity maintaining strategy; immune genetic algorithm; immune memory library; immune operator; immune system; premature convergence; vehicle routing problem; Algorithm design and analysis; Immune system; Logistics; Optimization; Routing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5677690
  • Filename
    5677690