• DocumentCode
    2740867
  • Title

    Dynamic Matching Operation in SDN

  • Author

    Liu, Caihong ; Xu, Fuyuan

  • Author_Institution
    Univ. of Shanghai for Sci. & Technol., Shanghai
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    486
  • Lastpage
    486
  • Abstract
    When a target is influenced by environment to change, its suitability will be changed to a degree. Under such circumstance, the traditional static linear matching method will lose its effectiveness as the accuracy of search is reduced. So, here, the thought of chaos genetic algorithms (CGA) is introduced to improve the matching accuracy in a dynamic environment. In view of the disadvantage of supply chain for its limit open and demonstrating competition excessively, which binds up its matching utility, the SDN is introduced as enterprises management model. Accordingly, the SDN enterprise management information system (MIS) will carry out the purpose of global supply and demand resources dynamic matching by the CGA method in SDN enterprises.
  • Keywords
    chaos; genetic algorithms; supply and demand; supply chain management; SDN enterprise; chaos genetic algorithm; dynamic matching; enterprise management information system; enterprises management model; static linear matching; supply and demand network; supply chain; Chaos; Fluctuations; Genetic algorithms; Humans; Management information systems; Nonlinear dynamical systems; Supply and demand; Supply chain management; Supply chains; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.275
  • Filename
    4428128