• DocumentCode
    123460
  • Title

    Study on vehicle scheduling algorithm in distribution step

  • Author

    Pan Ling ; Sun Ying Wei

  • Author_Institution
    Coll. of Inf. Eng., Ningbo Dahongying Univ., Ningbo, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    659
  • Lastpage
    662
  • Abstract
    Vehicle scheduling problem in distribution step has always been the focus of domestic and overseas academic circles. Especially during recent years, with rising of logistics as a new industry, optimization of vehicle scheduling has become a hot issue. Optimization for vehicle scheduling in distribution step can not only save cost and improve economic returns for enterprises, but is also beneficial to realizing scientific logistics management. At present, there are many algorithms involved in vehicle scheduling and this paper chose two typical algorithms - traditional heuristics algorithm and genetic algorithm; characteristics of these two algorithms were discussed. Finally through comparison, it pointed out how to choose proper algorithm in solving practical problems.
  • Keywords
    economic indicators; genetic algorithms; logistics; scheduling; transportation; distribution step; domestic academic circles; economic returns; genetic algorithm; heuristics algorithm; optimization; overseas academic circles; scientific logistics management; vehicle scheduling algorithm; vehicle scheduling problem; Computers; Genetics; Logistics; genetic algorithm; heuristics algorithm; vehicle scheduling problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926543
  • Filename
    6926543