• DocumentCode
    3226558
  • Title

    Research on ACA Optimization in the Logistics Distribution System

  • Author

    Sun Yunshan ; Zhang Liyi ; Zhang Yan ; Li Ronghua ; Li Wei ; Li He

  • Author_Institution
    Coll. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    654
  • Lastpage
    658
  • Abstract
    Ant colony algorithm is a new simulation-biological evolution algorithm. ACA Applications in the logistics distribution system were analyzed. During the process of constructing the logistics distribution system, logistics center location was optimized by ACA, which guarantees highly effective logistics supply. Logistics route optimization offers the optimization route of goods transportation. And it is the precondition for obtaining the best economic efficiency. Logistics distribution vehicles optimization dispatch makes vehicles dispatch accord with the largest supply capacity of logistics center, simultaneously satisfies the largest request of the customer service.
  • Keywords
    goods distribution; logistics; optimisation; ACA optimization; ant colony algorithm; customer service; goods transportation; logistics distribution system; simulation-biological evolution algorithm; Ant colony optimization; Automation; Business; Costs; Distributed computing; Educational institutions; Food technology; Logistics; Sun; Vehicles; Ant Colony Algorithm; Logistics Distribution System; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.289
  • Filename
    4659843