• DocumentCode
    468383
  • Title

    VRP Based on Improved Niche Isolation Genetic Algorithm

  • Author

    Chen, Zixia ; Xuan, Youshi

  • Author_Institution
    Zhejiang Gongshang Univ., Hangzhou
  • Volume
    3
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    724
  • Lastpage
    730
  • Abstract
    With the problems that traditional genetic algorithm is easy to converge untimely, and its searching efficiency will be lower in later stage of evolution, the paper designs an improved niche isolation genetic algorithm. This algorithm is based on niche isolation genetic algorithm and adopts migrating operator and simulated annealing theory. It not only keeps the diversity of the group, but also avoids getting into partial optimization. Simulation experiments and validity analysis of the algorithm are also given. The results prove it has good performance in solving vehicle routing problems (VRP).
  • Keywords
    genetic algorithms; mathematical operators; simulated annealing; transportation; vehicles; migrating operator; niche isolation genetic algorithm; simulated annealing theory; vehicle routing problems; Algorithm design and analysis; Biological system modeling; Computational biology; Evolution (biology); Genetic algorithms; Logistics; Mathematical model; Sequences; Simulated annealing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.612
  • Filename
    4406332