• DocumentCode
    1684920
  • Title

    Simulation-based optimization of vehicle routing problem with multiple vehicle frequencies and vehicle classes

  • Author

    Zhang, Yu ; Li, W.F. ; Yan, X.-P.

  • Author_Institution
    Sch. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • Firstpage
    2372
  • Lastpage
    2376
  • Abstract
    The actual express delivery network problem is to find a minimum-time tour solution and obtain vehicle classes and frequencies of mail routes. In order to solve the actual problem, the vehicle routing problem with multiple vehicle classes and vehicle frequencies is presented and described, and simulation-based optimization model of the actual problem is developed. With respect to huge perturbation of mail production between different regions, the code based hub and the GA algorithm using a special partition method are designed. Finally, several tests of an actual express delivery network of one province are performed to discuss the effectiveness of this approach.
  • Keywords
    genetic algorithms; postal services; transportation; GA algorithm; code based hub; express delivery network problem; mail production; mail routes; minimum-time tour solution; multiple vehicle frequencies; simulation-based optimization model; special partition method; vehicle classes; vehicle routing problem; Artificial intelligence; Logistics; Optimization; Partitioning algorithms; Postal services; Routing; Vehicles; multiple vehicle classes; optimization; simulation; vehicle frequency; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554345
  • Filename
    5554345