• DocumentCode
    3354643
  • Title

    Logistic Distribution Vehicle Scheduling Research in E-Commerce Environment

  • Author

    Ailing, Chen

  • Author_Institution
    Sch. of Inf. Manage., Shandong Economic Univ., Jinan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-30 Oct. 2009
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    In order to solve the logistic distribution vehicle scheduling problem in e-commerce environment, a method was proposed by modifying particle swarm optimization algorithm. In the method, a novel particle presentation for the vehicle scheduling problem was proposed. Simulation results have shown that the algorithm is effective and efficient for the vehicle scheduling problem.
  • Keywords
    electronic commerce; optimisation; scheduling; e-commerce; logistic distribution vehicle scheduling research; particle presentation; particle swarm optimization algorithm; Automotive engineering; Computer science; Costs; Heuristic algorithms; Logistics; Particle swarm optimization; Processor scheduling; Routing; Scheduling algorithm; Vehicles; logistic distribution; vehicle scheduling problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3881-5
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.630
  • Filename
    5403447
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3354643