• DocumentCode
    505195
  • Title

    On Optimal Method of Cargo Flows Distribution in Large Logistics Park Based on Random Decisive Genetic Algorithm

  • Author

    Yin, Hongjun

  • Author_Institution
    Sch. of Econ. & Manage., Chang´´an Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    10
  • Lastpage
    13
  • Abstract
    It is immediately significant of study on optimal method of cargo flows distribution in large logistics park. It becomes more complicated when the transportation of resources and destinations are all random variables and the transportation is limited by path capacities. This paper sets up a mathematics model through analysis to the transportation mode in large logistics park based on the random service process to solve the cargo asymmetric problems in large logistics park. Last we design the random decisive genetic algorithm to solve model and get satisfied result. Through analysis of problem, we can easily find the suitable transportation from the resource to destination and solve the bottlenecks in logistics park. Last the analysis result of an example indicates that the method is practical and handle.
  • Keywords
    genetic algorithms; goods distribution; logistics; random processes; transportation; cargo asymmetric problem; cargo flows distribution; large logistics park; mathematics model; optimal method; path capacity; random decisive genetic algorithm; resource transportation; Conference management; Cybernetics; Genetic algorithms; Intelligent systems; Logistics; Man machine systems; Mathematical model; Mathematics; Random variables; Road transportation; Cargo Transportation Distribution; Large Logistics Park; Optimization; Random Decisive Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.10
  • Filename
    5335904