• DocumentCode
    498304
  • Title

    General Platform for Water Resources Optimal Operation: Lp_SolveJ

  • Author

    Xiaohui, Lei ; Yunzhong, Jiang ; Wei, Bai ; Jianshi, Zhao

  • Author_Institution
    Dept. of Water Resources, China Inst. of Water Resources & Hydropower Res., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    373
  • Lastpage
    377
  • Abstract
    The paper has successfully set up a general platform for Water Resources Optimal Operation System, Lp_SolveJ, through packaging the general optimization package of Lp_Solve which is open-source. The platform, which is developed with Java language, is entitled with most functions similar to GAMS. Meanwhile, the platform also packages the other functions which are common but useful for many water resources optimal allocation models. Moreover, the platform has been successfully applied to the Weihe Water Resources Optimal Operation System, and the high level of integration and rapid development of the software system are realized. The general platform has realized the reduction of development cost on water resource optimal allocation model, promotion of the efficiency of the models and other systems development and improvement of the software technologies of the models and related systems.
  • Keywords
    Java; environmental science computing; integrated software; public domain software; resource allocation; software engineering; software packages; water resources; GAMS; Java language; Lp_SolveJ; Weihe Water Resources Optimal Operation System; development cost reduction; open-source package; software development; software integration; water resources optimal allocation model; Agriculture; Application software; Cost function; Java; Large-scale systems; Open source software; Packaging; Resource management; Software packages; Water resources; Java; Lp_Solve; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.167
  • Filename
    5209141