Investigation and Demonstration of an Evolutionary Computation-Based Model Correction Procedure for a Numerical Simulation Model

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@InProceedings{Zechman:2005:WWERC,
  author =       "Emily Zechman and G. Mahinthakumar and 
                 S. Ranji Ranjithan",
  title =        "Investigation and Demonstration of an Evolutionary
                 Computation-Based Model Correction Procedure for a
                 Numerical Simulation Model",
  booktitle =    "World Water and Environmental Resources Congress
                 2005",
  year =         "2005",
  editor =       "Raymond Walton",
  address =      "Anchorage, Alaska, USA",
  publisher_address = "Reston, Va, USA",
  month =        may # " 15-19",
  organisation = "American Society Civil Engineering",
  keywords =     "genetic algorithms, genetic programming, Computation,
                 Groundwater pollution, Hydrologic models, Numerical
                 models, Simulation models",
  isbn13 =       "978-0-7844-0792-9",
  DOI =          "doi:10.1061/40792(173)346",
  abstract =     "Traditional model calibration attempts to correct a
                 model so that the model output will match a set of
                 system observations by tweaking a set of model
                 parameters. Potential model structural error limits,
                 however, the effectiveness and accuracy of calibration,
                 undermining the predictive capabilities of the
                 calibrated model. An evolutionary computation-based
                 model error correction procedure that couples an
                 evolutionary algorithm and a genetic program was
                 previously developed and tested for two analytical
                 models. Due to nonuniqueness in the solution space,
                 numerous forms of correction terms that similarly fit
                 the observation data were found. This procedure is
                 further investigated to explore and identify
                 alternative correction terms that not only provide a
                 good fit but also results in good prediction
                 performance. This approach is then demonstrated using a
                 numerical groundwater contaminant transport simulation
                 model.",
  notes =        "Environmental and Water Resources Institute (EWRI) of
                 ASCE.

                 OCLC Number: 66144369

                 c2005 ASCE",
}

Genetic Programming entries for Emily M Zechman G (Kumar) Mahinthakumar S Ranji Ranjithan

Citations