Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites

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@InCollection{Esfahani:2015:hbgpa,
  author =       "Hamed Koohpayehzadeh Esfahani and Bithin Datta",
  title =        "Use of Genetic Programming Based Surrogate Models to
                 Simulate Complex Geochemical Transport Processes in
                 Contaminated Mine Sites",
  booktitle =    "Handbook of Genetic Programming Applications",
  publisher =    "Springer",
  year =         "2015",
  editor =       "Amir H. Gandomi and Amir H. Alavi and Conor Ryan",
  chapter =      "14",
  pages =        "359--379",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-20882-4",
  DOI =          "doi:10.1007/978-3-319-20883-1_14",
  abstract =     "Reactive transport of chemical species in contaminated
                 groundwater systems, especially with multiple species,
                 is a complex and highly non-linear geochemical process.
                 Simulation of such complex geochemical processes using
                 efficient numerical models is generally computationally
                 intensive. In order to increase the model reliability
                 for real field data, uncertainties in hydrogeological
                 parameters and boundary conditions are needed to be
                 considered as well. The development and performance
                 evaluation of ensemble Genetic Programming (GP) models
                 to serve as computationally efficient approximate
                 simulators of complex groundwater contaminant transport
                 process with reactive chemical species under aquifer
                 parameters uncertainties are presented. The GP models
                 are developed by training and testing of the models
                 using sets of random input contaminated sources and the
                 corresponding aquifer responses in terms of resulting
                 spatio-temporal concentrations of the contaminants
                 obtained as solution of the hydrogeological and
                 geochemical numerical simulation model. Three
                 dimensional transient flow and reactive contaminant
                 transport process is considered. Performance evaluation
                 of the ensemble GP models as surrogate models for the
                 reactive species transport in groundwater demonstrates
                 the feasibility of its use and the associated
                 computational advantages. The evaluation results show
                 that it is feasible to use ensemble GP models as
                 approximate simulators of complex hydrogeologic and
                 geochemical processes in a contaminated groundwater
                 aquifer incorporating uncertainties in describing the
                 physical system.",
}

Genetic Programming entries for Hamed Koohpayehzadeh Esfahani Bithin Datta

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