• DocumentCode
    2674519
  • Title

    The Application of Genetic Algorithm in Vehicle Routing Problem

  • Author

    Zhang, Yueqin ; Chen, Shiying ; Liu, Jinfeng ; Duan, Fu

  • Author_Institution
    Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan
  • fYear
    2008
  • fDate
    3-5 Aug. 2008
  • Firstpage
    3
  • Lastpage
    6
  • Abstract
    Genetic Algorithms are excellent approaches to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. On the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton (FA) to produce individual population and implement a new evolution way using genetic algorithm. Besides, the paper shows the application in an urban public transportation system.
  • Keywords
    finite automata; genetic algorithms; transportation; vehicles; NP-complete problem; finite automaton; genetic algorithm; urban public transportation system; vehicle routing; Application software; Automata; Biological cells; Computer security; Costs; Electronic commerce; Genetic algorithms; Routing; Transportation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2008 International Symposium on
  • Conference_Location
    Guangzhou City
  • Print_ISBN
    978-0-7695-3258-5
  • Type

    conf

  • DOI
    10.1109/ISECS.2008.227
  • Filename
    4606013