• DocumentCode
    2842010
  • Title

    A model of the emporium selecting the superior from multi-vendor based on genetic algorithms

  • Author

    Bao-zheng, Liu ; Ding-wei, Wang

  • Author_Institution
    Sch. of Math. & Syst. Sci., Liaocheng Univ., Liaocheng, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    3812
  • Lastpage
    3814
  • Abstract
    The stock optimization problem of the key enterprise of commodity vendition type is researched in this paper. Aim at the logistics key enterprise having many provider, the commodity stock optimization evaluating system of multiple objectives is upbuilt, and the fuzzy optimization model is founded. The Genetic Algorithm is fetched in to solve model. By cutting-set guide line, we get the satisfaction solution. Through example the model application is more explained. The method foundation is offered for the enterprise of commodity vendition type.
  • Keywords
    fuzzy set theory; genetic algorithms; stock markets; commodity stock optimization evaluating system; commodity vendition type; emporium selection; fuzzy optimization model; genetic algorithm; logistics key enterprise; multicommodity selection; stock optimization problem; Fuzzy systems; Genetic algorithms; Information science; Logistics; Mathematical model; Mathematics; Genetic Algorithm; Multi-commodity Selection Optimum; Multi-objective Optimization; Satisfactory Solution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498483
  • Filename
    5498483