• DocumentCode
    493705
  • Title

    VRP Problem with Time Windows in the Logistics and Distribution Solved by Immune Ant Colony Algorithm

  • Author

    Jun, Zhi ; Jian-yong, Liu ; Jing, Yu ; Le, Jing ; Hai-lu, Du

  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    692
  • Lastpage
    696
  • Abstract
    Draw lessons from the immune mechanism of living beings and combine the principle that ants looking for food and put forward the immune ant colony algorithms to solve the logistics and distribution. Use immune mechanism to draw the vaccine while the ants search, and carry on immunity operation to the evolved population and raise the search ability and convergent of the ant colony algorithm to the optimum solve of the overall situation. It adopts the adaptive mutation, multiple point crossover, and the genetic tactic of protecting excellent between generations, it strengthens the stability and fast of evolution.
  • Keywords
    logistics; optimisation; transportation; VRP problem; genetic tactic; immune ant colony algorithm; search ability; time windows; Computer science education; Educational technology; Intelligent vehicles; Logistics; Marine vehicles; Mathematical model; Paper technology; Stability; Underwater vehicles; Vaccines; immune ant colony algorithm; time windows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.414
  • Filename
    4959129