• DocumentCode
    2845062
  • Title

    Applying genetic algorithm in optimal allocation of water resources based on water rights

  • Author

    Heliang, Ling ; Faliang, Gui

  • Author_Institution
    Dept. of Sci., Nanchang Inst. of Technol., Nanchang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5928
  • Lastpage
    5933
  • Abstract
    The model of the multi-objective optimal allocation of water resources with government system of water rights is a bi-level programming model. The function of water trade price is difficult to determine, and some factors are interactive such as water price, coefficient of water-saving and objective function, whose relationships are rather complex, so that it is attractive to study the model solution. In this paper, the solution to the bi-level programming model of the optimal allocation of water resources is put forward, in which the upper-level programming is solved by genetic algorithm and the lower-level programming is solved by simplex method, the values about water trade price and coefficient of water-saving are assigned via random-points in a certain range. The results show that the solution is reasonable, and it has been made great progress in ideas and methods to solve this model.
  • Keywords
    genetic algorithms; water resources; bi-level programming model; genetic algorithm; government system; lower-level programming; multiobjective optimal allocation; upper-level programming; water price; water resources; water rights; water-saving coefficient; Cities and towns; Forward contracts; Functional programming; Genetic algorithms; Genetic engineering; Government; Humans; Mathematical model; Resource management; Water resources; Bi-level Programming; Genetic Algorithm; Optimization; Water Resources Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5195262
  • Filename
    5195262