• DocumentCode
    2053658
  • Title

    Study on application of improved chaos ant colony algorithm in vehicle routing problem with time windows

  • Author

    Hai Yang

  • Author_Institution
    Coll. of Inf. Sci. & Electr. Eng., Shandong Jiaotong Univ. Jinan, Jinan, China
  • fYear
    2013
  • fDate
    29-31 Aug. 2013
  • Firstpage
    379
  • Lastpage
    382
  • Abstract
    This paper has analyzed the vehicle routing problem with time windows and proposed its mathematical model, then provided an improved chaos ant colony algorithm by introducing chaos perturbation and penalty function into basic ant colony algorithm. The results of simulation experiment show that the improved algorithm proposed in this paper is effective and has much higher capacity of global optimization than genetic algorithm and basic ant colony algorithm.
  • Keywords
    ant colony optimisation; chaos; vehicle routing; chaos perturbation; genetic algorithm; global optimization; improved chaos ant colony algorithm; mathematical model; penalty function; time windows; vehicle routing problem; Algorithm design and analysis; Chaos; Genetic algorithms; Heuristic algorithms; Optimization; Routing; Vehicles; chaos ant colony algorithm; genetic algorithm; penalty function; time window; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2013 Third International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4799-0047-3
  • Type

    conf

  • DOI
    10.1109/INTECH.2013.6653645
  • Filename
    6653645