• DocumentCode
    507871
  • Title

    Application of Heuristic Genetic Algorithm for Optimal Layout of Flow Measurement Stations in Water Distribution Networks

  • Author

    Zhang, Hui ; Huang, Ting-lin ; He, Wen-Jie

  • Author_Institution
    Sch. of Environ. & Municipal Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    140
  • Lastpage
    143
  • Abstract
    The placement of flow measurement stations is very important for real-time monitoring of water distribution networks. In this paper the heuristic genetic algorithm was applied to get the optimal layout of flow measurement stations based on the monitoring scope method. Its specific implementation for the problem was designed, including problem representation, heuristic correction, fitness function and genetic operations. And a computer program based on the algorithm was developed with Delphi 7. Through the application on an existing network it is proved that the developed algorithm is robust and can work out the results in a few minutes. Therefore, the heuristic genetic algorithm is an effective approach to solve the problems of combinatorial optimization in water distribution networks.
  • Keywords
    flow measurement; genetic algorithms; optimisation; water supply; Delphi 7; fitness function; flow measurement stations optimal layout; genetic operations; heuristic correction; heuristic genetic algorithm; monitoring scope method; problem representation; real-time monitoring; water distribution networks; Application software; Computer applications; Computer architecture; Computer networks; Computerized monitoring; Distributed computing; Fluid flow measurement; Genetic algorithms; Genetic engineering; Robustness; flow measurement station; heuristic genetic algorithm; optima layout; water distribution network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.513
  • Filename
    5363681