Modelling Chlorine Decay in Water Networks with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{jonkergouw:2005:icannga,
  author =       "Philip Jonkergouw and Ed Keedwell and Soon-Thiam Khu",
  title =        "Modelling Chlorine Decay in Water Networks with
                 Genetic Programming",
  pages =        "206--209",
  booktitle =    "Adaptive and Natural Computing Algorithms",
  year =         "2005",
  editor =       "Bernardete Ribeiro and Rudof F. Albrecht and 
                 Andrej Dobnikar and David W. Pearson and Nigel C. Steele",
  series =       "Springer Computer Series",
  publisher =    "Springer",
  ISBN =         "3-211-24934-6",
  address =      "Coimbra, Portugal",
  month =        "21-23 " # mar,
  keywords =     "genetic algorithms, genetic programming",
  notes =        "http://icannga05.dei.uc.pt/",
  DOI =          "doi:10.1007/3-211-27389-1_49",
  abstract =     "The disinfection of water supplies for domestic
                 consumption is often achieved with the use of chlorine.
                 Aqueous chlorine reacts with many harmful
                 micro-organisms and other aqueous constituents when
                 added to the water supply, which causes the chlorine
                 concentration to decay over time. Up to a certain
                 extent, this decay can be modelled using various decay
                 models that have been developed over the last 50+
                 years. Assuming an accurate prediction of the chlorine
                 concentration over time, a measured deviation from the
                 values provided by such a decay model could be used as
                 an indicator of harmful (intentional) contamination.
                 However, current chlorine decay models have been based
                 on assumptions that do not allow the modelling of
                 another species, i.e. the species with which chlorine
                 is reacting, thereby limiting their use for modelling
                 the effect of a contaminant on chlorine. This paper
                 investigates the use of genetic programming as a method
                 for developing a mixed second-order chlorine decay
                 model.",
}

Genetic Programming entries for Philip Jonkergouw Ed Keedwell Soon-Thiam Khu

Citations