• DocumentCode
    1956973
  • Title

    An improved ant colony optimization algorithm for the vehicle routing problems with time windows

  • Author

    Wang, Bi ; Yu, Hewei

  • Author_Institution
    Sch. of Software Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    6-9 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents an improved scheme for the vehicle routing problems with time windows based on ant colony optimization algorithm. The new scheme makes the change of heuristic message fast and speeds the convergence process by improving updating method of global pheromone and visibility strategy. Simulation results from eight groups of vehicle transportation case show that the new scheme performs better in vehicle routing problems. It can reduce the iteration times and make optimization solution in a short time.
  • Keywords
    optimisation; transportation; vehicles; ant colony optimization; convergence process; vehicle routing; vehicle transportation; Algorithm design and analysis; Ant colony optimization; Complexity theory; Computational modeling; Optimization; Routing; Vehicles; ant colony optimization; pheromone; time windows; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-962-367-696-0
  • Type

    conf

  • Filename
    5681707