• DocumentCode
    2416534
  • Title

    An Emprical Study on Optimization Method of Allocation Water Resources

  • Author

    Huang, Wei

  • Author_Institution
    Sch. of Manage. & Econ., North China Water Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    725
  • Lastpage
    728
  • Abstract
    The issue of Water Security has increasingly gained the global concern. Henan province is presently confronted with the severe imbalance in water resources distribution and drinking water security, which is extremely detrimental to agricultural production. In the study of regional water resources optimization, with the guide of systmetic theory, based on improved adaptive genetic algorithm, corresponding mathematical model is established in this article to deal with some problems which include precocious or non-global convergence or slow convergence. The result shows that the improved algorithm has good global search ability and rapid convergence rate, which lays a theoretical foundation for global optimization problem of water resources allocation, which has been already adopted by Water Conservancy Bureau of Anyang city, and good effects have beed brought.
  • Keywords
    agricultural safety; genetic algorithms; water resources; adaptive genetic algorithm; drinking water security; global optimization problem; global search ability; non-global convergence; rapid convergence rate; regional water resources optimization; water conservancy bureau of Anyang city; water resources allocation; water resources distribution imbalance; Biological system modeling; Economics; Optimization; Resource management; Rivers; Water conservation; Water resources; GA; Henan provinc; Optimization; water resource;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.189
  • Filename
    5591683