• DocumentCode
    3470236
  • Title

    An Optimization Model of Container Marine Transport with COA Approach

  • Author

    Wang, Wenyuan ; Song, Xiangqun ; Guo, Zijian ; Fu, Boxin

  • Author_Institution
    Dalian Univ. of Technol., Dalian
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    704
  • Lastpage
    708
  • Abstract
    With the widespread utilization of mega- containerships, the economies of scale becomes more and more obviously. In order to get more benefits, a hub-and-spoke model for the container transportation network is provided here. Then the chaos optimization algorithm (COA) is applied to solve the complicated network optimization problem. Chaos has many good properties in nonlinear systems, such as ergodicity, stochastic properties and regularity. It is a chaotic motion which can go non-repeatedly through every state in a certain domain. Based on these properties, the effective optimization method is proposed in this paper to solve this complex optimization problem. The simulation results indicate that the COA can achieve a reasonable optimum transportation network, mostly the sea route, vessel volume and service frequency of the vessel, in the meantime, we provide a reference model for containers transportation network layout.
  • Keywords
    chaos; containers; nonlinear systems; optimisation; transportation; chaos optimization algorithm; chaotic motion; container marine transport; container transportation network; hub-and-spoke model; mega-containerships; nonlinear systems; Artificial intelligence; Automation; Chaos; Containers; Costs; Economies of scale; Logistics; Marine technology; Optimization methods; Transportation; Chaos Optimization Algorithm; Container; Marine Transport Network; Optimization Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338655
  • Filename
    4338655