A Genetic Programming-Based Surrogate Model Development and Its Application to a Groundwater Source Identification Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Zechman:2005:WWREC2,
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author = "Emily Zechman and Baha Mirghani and
G. Mahinthakumar and S. Ranji Ranjithan",
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title = "A Genetic Programming-Based Surrogate Model
Development and Its Application to a Groundwater Source
Identification Problem",
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booktitle = "World Water and Environmental Resources Congress
2005",
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year = "2005",
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editor = "Raymond Walton",
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address = "Anchorage, Alaska, USA",
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publisher_address = "Reston, Va, USA",
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month = may # " 15-19",
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organisation = "American Society Civil Engineering",
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keywords = "genetic algorithms, genetic programming, Chemicals,
Groundwater management, Hydrologic models, Water
pollution, Wells",
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isbn13 = "978-0-7844-0792-9",
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DOI = "doi:10.1061/40792(173)341",
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abstract = "This paper investigates a groundwater source
identification problem in which chemical signals at
observation wells are used to reconstruct the pollution
loading scenario. This inverse problem is solved using
a simulation-optimisation approach that uses a genetic
algorithm to conduct the search. As the numerical
pollution-transport model is solved iteratively during
the heuristic search, the evolutionary search can be in
general computationally intensive. This is addressed by
constructing a surrogate modelling approach that is
able to predict quickly the concentration profiles at
the observation wells. A genetic program is used in the
development of the surrogate models that provides an
acceptable prediction performance. The surrogate model,
which replaces the numerical simulation model, is then
coupled with the evolutionary search procedure to solve
the inverse problem. The results will illustrate 1) the
performance of the surrogate model in predicting the
concentration compared with the predictions using the
original numerical model, and 2) the quality of the
solution to the inverse problem obtained using the
surrogate model to that obtained using the numerical
model.",
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notes = "Environmental and Water Resources Institute (EWRI) of
ASCE.
OCLC Number: 66144369
c2005 ASCE",
- }
Genetic Programming entries for
Emily M Zechman
Baha Y Mirghani
G (Kumar) Mahinthakumar
S Ranji Ranjithan
Citations