• DocumentCode
    2806139
  • Title

    Research on Open Vehicle Routing Problem with Time Windows Based on Improved Genetic Algorithm

  • Author

    Li Guiyun

  • Author_Institution
    Coll. of Econ. & Trade, Hunan Univ., Changsha, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    According to the open vehicle routing problem (OVRP), a vehicle is not required to return to the distribution depot after servicing the last customer on its route. In this paper, the open vehicle routing problem with time windows (OVRPTW) is considered, and a mixed integer programming mathematic model of OVRPTW was proposed in detail. Meantime, an improved genetic algorithm (IGA) was proposed to overcome the shortcomings of premature convergence and slow convergence of conventional genetic algorithm (GA). The novel crossover-operator, swapping operator and inversion operator as the core of IGA were constructed to solve OVRPTW. The experiment results show that the IGA can solve OVRPTW effectively.
  • Keywords
    genetic algorithms; integer programming; transportation; vehicles; crossover-operator; distribution depot; improved genetic algorithm; inversion operator; mixed integer programming mathematic model; open vehicle routing problem; premature convergence; swapping operator; time windows; Algorithm design and analysis; Convergence; Cost function; Educational institutions; Genetic algorithms; Linear programming; Mathematical model; Mathematics; Routing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5362726
  • Filename
    5362726