• DocumentCode
    1579460
  • Title

    Distribution route optimization of logistics enterprise based on genetic algorithm

  • Author

    Yijun, Wang

  • Author_Institution
    College of Adult and Further Education, Beihua University, Jilin, China
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Distribution route optimization of logistics enterprise is studied based on the Travelling salesman problem (TSP). The improved genetic algorithm is built that includes natural number coding, greedy crossover, reverse mutation, and 2-opt. Then VC + + and MATLAB is used to propose the improved genetic algorithm. Empirical analysis demonstrates the effectiveness of the algorithm. The results show that the optimal route is more reasonable, and it can effectively reduce logistics costs.
  • Keywords
    2-opt; genetic algorithm; mutation; route optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2012
  • Conference_Location
    Puerto Vallarta, Mexico
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4673-4497-5
  • Type

    conf

  • Filename
    6321260
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1579460