Modelling Chlorine Decay in Water Networks with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{jonkergouw:2005:icannga,
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author = "Philip Jonkergouw and Ed Keedwell and Soon-Thiam Khu",
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title = "Modelling Chlorine Decay in Water Networks with
Genetic Programming",
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pages = "206--209",
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booktitle = "Adaptive and Natural Computing Algorithms",
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year = "2005",
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editor = "Bernardete Ribeiro and Rudof F. Albrecht and
Andrej Dobnikar and David W. Pearson and Nigel C. Steele",
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series = "Springer Computer Series",
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publisher = "Springer",
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ISBN = "3-211-24934-6",
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address = "Coimbra, Portugal",
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month = "21-23 " # mar,
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keywords = "genetic algorithms, genetic programming",
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notes = "http://icannga05.dei.uc.pt/",
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DOI = "doi:10.1007/3-211-27389-1_49",
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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