• DocumentCode
    3192143
  • Title

    A new coding method for genetic algorithm in vehicle routing problem

  • Author

    Jiajiao, Qin ; Yong, Zhang ; Jianlin, Mao ; Lixia, Fu

  • Author_Institution
    Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2011
  • fDate
    20-23 March 2011
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Genetic algorithm is widely used to solve optimization problems for its characteristic, especially vehicle routing problem. By using this algorithm to solve the vehicle scheduling problem, determine the solution coding method is a very crucial basic work, because it will directly influence the algorithm to realize and the inferiority of algorithm performance. This paper presents a new coding method - the client direct arrangement and grouping randomized. Firstly, produce customer arrangement without repeating, and than put it into small groups randomly which is serviced by a vehicle separately. It represents a solution or a route. In the final, it is proved that the genetic algorithm with new coding has good performance through experiment.
  • Keywords
    combinatorial mathematics; encoding; genetic algorithms; transportation; vehicles; client direct arrangement method; combinatorial optimization problem; customer arrangement; genetic algorithm; grouping randomized method; solution coding method; vehicle routing problem; Biological cells; Encoding; Genetic algorithms; Heuristic algorithms; Optimization; Routing; Vehicles; coding; genetic algorithm; random; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2011 IEEE International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-61284-910-2
  • Type

    conf

  • DOI
    10.1109/CYBER.2011.6011793
  • Filename
    6011793