Optimal pipe replacement strategy based on break rate prediction through genetic programming for water distribution network

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@Article{Xu:2013:JHR,
  author =       "Qiang Xu and Qiuwen Chen and Jinfeng Ma and 
                 Koen Blanckaert",
  title =        "Optimal pipe replacement strategy based on break rate
                 prediction through genetic programming for water
                 distribution network",
  journal =      "Journal of Hydro-environment Research",
  volume =       "7",
  number =       "2",
  pages =        "134--140",
  year =         "2013",
  note =         "Special Issue of on Hydroinformatics 2010: Advances of
                 hydroinformatic techniques in hydro-environmental
                 research",
  keywords =     "genetic algorithms, genetic programming, Pipe break
                 rate prediction, Optimal pipe replacement strategy,
                 Water distribution system",
  ISSN =         "1570-6443",
  DOI =          "doi:10.1016/j.jher.2013.03.003",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1570644313000257",
  abstract =     "Pipe breaks often occur in water distribution networks
                 and result in large water loss and social-economic
                 damage. To reduce the water loss and maintain the
                 conveyance capability of a pipe network, pipes that
                 experienced a severe break history are often necessary
                 to be replaced. However, when to replace a pipe is a
                 difficult problem to the management of water
                 distribution system. This study took part of the water
                 distribution network of Beijing as a case and collected
                 the pipe properties and the pipe breaks data in recent
                 years (2008-2011). A prediction model of pipe beak rate
                 was first developed using genetic programming. Then, an
                 economically optimal pipe replacement model was set up.
                 Finally, the optimal pipe replacement time was
                 determined by the model. The results could help the
                 utility managers to make cost-effective pipe
                 maintenance plans.",
}

Genetic Programming entries for Qiang Xu Qiuwen Chen Jinfeng Ma Koen Blanckaert

Citations