Development of rehabilitation plans for water mains replacement considering risk and cost-benefit assessment

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Giustolisi:2006:CEES,
  author =       "Orazio Giustolisi and Daniele Laucelli and 
                 Dragan A. Savic",
  title =        "Development of rehabilitation plans for water mains
                 replacement considering risk and cost-benefit
                 assessment",
  journal =      "Civil Engineering and Environmental Systems",
  year =         "2006",
  volume =       "23",
  number =       "6",
  pages =        "175--190",
  note =         "Special Issue: Papers selected from the Eighth
                 International Conference on Computing and Control for
                 the Water Industry",
  keywords =     "genetic algorithms, genetic programming, Pipe burst
                 modelling, Water mains rehabilitation,
                 Investment/benefit optimisation, Renewal planning",
  ISSN =         "1028-6608",
  DOI =          "doi:10.1080/10286600600789375",
  size =         "16 pages",
  abstract =     "The economic and social costs of pipe bursts in water
                 distribution networks (WDNs) are very significant.
                 Water managers need reliable replacement plans for
                 critical pipes, balancing investment with expected
                 benefits in a risk-based management scenario. Thus, a
                 robust and feasible decision support tool for water
                 system rehabilitation is required. This kind of tool
                 should incorporate (i) a model to forecast pipe
                 failures and (ii) a strategy to solve a multi-objective
                 optimisation problem trading investment vs. benefits.
                 The former requires the collection of company asset
                 data and the statistical modelling of pipe bursts. In
                 this article, the burst modelling is performed by the
                 evolutionary polynomial regression technique, providing
                 a symbolic model for predicting pipe bursts. The
                 benefits of burst reduction achieved by mains
                 rehabilitation are evaluated by a multi-objective
                 optimisation model over a short-term planning horizon
                 (taken to be one year in this study). The
                 multi-objective strategy is embedded in a genetic
                 algorithm search methodology. The procedure identifies
                 different subsets of pipes scheduled for
                 rehabilitation, ranging from no-replacement (i.e., no
                 reduction of the predicted number of bursts) to the
                 complete replacement scheme (i.e. maximum reduction of
                 the predicted number of bursts), trading cost of
                 rehabilitation against achieved benefits. The result of
                 the strategy is a Pareto (trade-off) front, which by
                 itself does not provide any prioritisation of pipes for
                 replacement. Thus, the article introduces a further
                 processing step by which pipes are prioritised for
                 rehabilitation based on the number of times each
                 belongs to a solution on the Pareto front. By
                 considering costs and such priority rating of each
                 main, an improved investments/benefit diagram is
                 constructed. The procedure is tested on a real-world UK
                 WDN.",
  notes =        "Papers using GP related results",
}

Genetic Programming entries for Orazio Giustolisi Daniele B Laucelli Dragan Savic

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