Modelling sewer failure by evolutionary computing

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@Article{Savic:2006:wama,
  author =       "Dragan Savic and Orazio Giustolisi and 
                 Luigi Berardi and Will Shepherd and Slobodan Djordjevic and 
                 Adrian Saul",
  title =        "Modelling sewer failure by evolutionary computing",
  journal =      "Proceedings of the Institution of Civil Engineers:
                 Water Management",
  year =         "2006",
  volume =       "159",
  number =       "2",
  pages =        "111--118",
  month =        "1 " # jun,
  keywords =     "genetic algorithms, genetic programming,
                 failures/mathematical modelling, sewers and drains",
  ISSN =         "1741-7589",
  DOI =          "doi:10.1680/wama.2006.159.2.111",
  size =         "8 pages",
  abstract =     "The sewer system is a service that is expected to
                 function without interruptions. Continuous assessment,
                 maintenance and rehabilitation are the key to
                 maintaining a required level of service at an
                 acceptable cost. An appropriate and cost effective
                 prioritisation scheme for periodical surveys could be
                 built based on failure data collected by sewerage
                 companies over time. Such a scheme could be achieved
                 using data-driven modelling techniques jointly with
                 engineering knowledge of the failure mechanisms. This
                 paper presents a descriptive analysis performed on a
                 real database containing collapse and blockage incident
                 records for a large sewer system in the UK. Starting
                 from a statistical study of both failure types, the
                 most important variables are identified and a
                 classification scheme is suggested. Then, using a
                 hybrid modelling technique, evolutionary polynomial
                 regression, two different formulas for blockage events
                 and collapse failures are obtained and their
                 engineering interpretation is offered.",
  notes =        "Paper 14342

                 Centre for Water Systems, University of Exeter,
                 UK

                 Civil and Environmental Engineering Department,
                 Technical University of Bari, Italy

                 Pennine Water Group, University of Sheffield, UK

                 Thomas Telford Ltd.",
}

Genetic Programming entries for Dragan Savic Orazio Giustolisi Luigi Berardi Will Shepherd Slobodan Djordjevic Adrian Saul

Citations