• DocumentCode
    2688124
  • Title

    Study on water resources optimal allocation based on agent technology

  • Author

    Niu, Wenjuan ; Wang, Huimin ; Qiu, Lei

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    8-10 June 2009
  • Firstpage
    346
  • Lastpage
    352
  • Abstract
    With the development of society and economy, the problem of water resources optimal allocation has increasingly presented the features of complex system, such as large scale, multi-object, multi-agent, multi-dimension, non-linear, dynamic, evolution, and so on, that makes the water resources optimal allocation methods based on pure analytical mathematical models confronted with difficulties. At the same time, the researches on complexity and complex system are being carried out more and more deeply and thoroughly. In complexity science researches, the agent-based modeling simulation technology is being paid more attention. These studies provide the complex problem of water resources optimal allocation with an effective way. Based on the basic idea of complex adaptive system theory, the method of water resources optimal allocation based on agent technology is proposed. The agent software structure, communication mechanisms among agents, multi-agent cooperation model, model algorithm and programming implementation approach, etc. are discussed in detail. Lastly, an application instance of the water resources optimal allocation method is performed. The study shows that the method based on agent technology proposed by the paper is feasible and effective for water resources complex allocation.
  • Keywords
    environmental science computing; multi-agent systems; water resources; adaptive system theory; agent software structure; agent-based modeling simulation technology; analytical mathematical models; communication mechanisms; multi-agent cooperation model; programming implementation approach; water resources optimal allocation; Adaptive systems; Content addressable storage; Laboratories; Large-scale systems; Mathematical model; Nonlinear dynamical systems; Resource management; Rivers; Software algorithms; Water resources; Agent Technology; Complex Adaptive System; Water Resources Optimal Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2009. ICSSSM '09. 6th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3661-3
  • Electronic_ISBN
    978-1-4244-3662-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2009.5174906
  • Filename
    5174906