• DocumentCode
    3067130
  • Title

    Genetic Algorithm in Vehicle Routing Problem

  • Author

    Zhang, Yueqin ; Liu, Jinfeng ; Duan, Fu ; Ren, Jing

  • Author_Institution
    Taiyuan Univ. of Technol., Taiyuan
  • Volume
    2
  • fYear
    2007
  • fDate
    26-28 Nov. 2007
  • Firstpage
    578
  • Lastpage
    581
  • Abstract
    Genetic Algorithm is an excellent approach to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. Currently, There are many papers doing research on introducing genetic algorithm into VRP and most of them un-emphasize the limitations of the network. In this condition it has more freedom in the production of the initial individual population and in the process of evolution to implement VRP. Larruping, on the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton(FA) to produce individual population and proposes a new evolution way enlightened by hermaphrodites. The analyses of experiment results are also shown at the end of the paper.
  • Keywords
    finite automata; genetic algorithms; logistics; transportation; vehicles; NP-complete problem; finite automaton; genetic algorithm; hermaphrodite; logistics; vehicle routing problem; Biological cells; Constraint optimization; Costs; Genetic algorithms; Logistics; NP-complete problem; Optimized production technology; Routing; Software; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2007. IIHMSP 2007. Third International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-2994-1
  • Type

    conf

  • DOI
    10.1109/IIHMSP.2007.4457776
  • Filename
    4457776