• DocumentCode
    535913
  • Title

    Research on Multi-vehicle and Multi-depot Vehicle Routing Problem with Time Windows for Electronic Commerce

  • Author

    Chunyu, Ren ; Xiaobo, Wang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    552
  • Lastpage
    555
  • Abstract
    With the rapid development of electronic commerce and logistics distribution, multi-depot vehicle routing problem with time windows (MDVRPTW) as influencing electronic commerce more step development, has been paid more attentions. According to the characteristics of model, hybrid heuristic algorithm is used to get the optimization solution. First of all, use hybrid coding so as to simplify the problem, construct the pertinence of initial solution to enhance the feasibility of solutions. Secondly, using the best retain select method to ensure the diversity of groups. Improved ordinal crossover operators can avoid destroying good gene parts during the course of ordinal crossover. Adopt partial route overturn mutation operator to improve convergent speed. In the end, the test proves the validity of this improved algorithm combining with examples.
  • Keywords
    electronic commerce; heuristic programming; logistics data processing; optimisation; electronic commerce; good gene parts; hybrid coding; hybrid heuristic algorithm; logistics distribution; multidepot vehicle routing; optimization; ordinal crossover operators; time windows; Biological cells; Classification algorithms; Encoding; Heuristic algorithms; Optimization; Routing; Vehicles; hybrid coding; hybrid heuristic algorithm; improved ordinal crossover operators; multi-depot; vehicle routing problem with time window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.121
  • Filename
    5655391