• DocumentCode
    534938
  • Title

    Multi-ant colony optimization algorithm for the route optimization of logistic distribution

  • Author

    Li, Zhou-Fang ; Bai, Hao

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    A mathematical logistic distribution model with constraints was constructed, a multi-ant colony virtual parallel optimization algorithm was presented to solve the route optimization problem of logistic distribution. To enhance the self-adaptability of the ant colony algorithm and enhance the converging rate and global search capability ,pheromone updating strategy was improved. Experimental results show that the optimal or nearly optimal solutions to the logistic distribution routing can be quickly obtained by the improved multi-ant colony virtual parallel optimization algorithm.
  • Keywords
    goods distribution; logistics; optimisation; search problems; global search capability; logistic distribution routing; mathematical logistic distribution model; multiant colony virtual parallel optimization algorithm; pheromone updating strategy; route optimization; Modems; Optimization; Variable speed drives; Algorithm; Ant colony; Logistic distribution; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643874
  • Filename
    5643874