• DocumentCode
    2999957
  • Title

    Vehicle routing problem research based on genetic-ant colony algorithm

  • Author

    Liangzhi, Zhang ; Yimeng, Hou ; Peide, Li

  • Author_Institution
    Dept. of Traffic & Logistic, Shandong Jiaotong Univ., Jinan
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    1946
  • Lastpage
    1950
  • Abstract
    To resolve vehicle routing problem in logistic field, genetic arithmetic and ant colony arithmetic are often employed, and each runs with merit and defect. In the paper, two algorithm thinking are integrated based on each trait. Firstly a rapid and excellent solution arises in anterior genetic operation, and initial information elements derive from the solution, and then ant colony arithmetic starts. Varietal genetic operation is also introduced to ant computing to avoid immersing into local top. Simulate test prove validity and efficiency of the arithmetic.
  • Keywords
    arithmetic; cooperative systems; genetic algorithms; logistics; transportation; ant colony arithmetic; anterior genetic operation; genetic arithmetic; genetic-ant colony Algorithm; logistic field; vehicle routing problem; Arithmetic; Automation; Computational modeling; Costs; Genetic algorithms; Logistics; Routing; Testing; Transportation; Vehicles; ant colony arithmetic; combination of arithmetic; genetic arithmetic; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636479
  • Filename
    4636479