• DocumentCode
    509110
  • Title

    Improved Integrated Optimization Model Research of Mode and Route in Multimodal Transportation

  • Author

    Kai, Kang ; Haijiao, Niu ; Yuejie, Zhu ; Weicun, Zhang

  • Author_Institution
    Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    26-27 Dec. 2009
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    The transport mode and transport path in the multimodal transport have an effect on the benefits of the carriers and customers. According to feature in the relationship between the transport mode selection and the transport path optimization, a integrated model which can be used to select the transport mode and optimize the transport path synthetically was proposed to fit the diversification of the transport path and the transport process practically. Then, the solving method about the integrated model was achieved by the PSO-ACO double-layer optimization algorithm. The upper layer searched optimal transport nodes sequence and the lower layer solved the optimal transport mode and path combination in the selected nodes. Integrated optimization problems of the multi-node, multi-mode, multi-path can be solved by this model, and experiment shows that the result is superior to ACO´s.
  • Keywords
    particle swarm optimisation; transportation; PSO-ACO double-layer optimization algorithm; improved integrated optimization model; multimodal transportation; transport mode selection; transport path optimization; Conference management; Continuous improvement; Cost function; Engineering management; Industrial engineering; Information management; Innovation management; Logistics; Optimization methods; Road transportation; integrated optimization; multimodal transportation; transport mode; transport path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3876-1
  • Type

    conf

  • DOI
    10.1109/ICIII.2009.155
  • Filename
    5369232