Physical habitat simulations of the Dal River in Korea using the GEP Model

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@Article{Choi:2015:EE,
  author =       "Byungwoong Choi and Sung-Uk Choi",
  title =        "Physical habitat simulations of the Dal River in Korea
                 using the {GEP} Model",
  journal =      "Ecological Engineering",
  volume =       "83",
  pages =        "456--465",
  year =         "2015",
  ISSN =         "0925-8574",
  DOI =          "doi:10.1016/j.ecoleng.2015.06.042",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0925857415301038",
  abstract =     "The GEP model, a recently-developed robust artificial
                 intelligence technique, captures the benefits of both
                 genetic algorithm and genetic programming by using
                 chromosomes and expression trees. This paper presents a
                 physical habitat simulation using the GEP model. The
                 study area is a 2.5 km long reach of a stream, located
                 downstream from a dam in the Dal River in Korea. Field
                 monitoring revealed that Zacco platypus is the dominant
                 species in the study area. The CCHE2D model and the GEP
                 model were used for hydraulic and habitat simulations,
                 respectively. Since the GEP model belongs to the
                 data-driven approach, the model directly predicts the
                 composite suitability index using the monitoring data.
                 The GEP model is capable of considering correlations
                 between all physical habitat variables, which is a
                 clear advantage over knowledge-based models, such as
                 the habitat suitability index model. The model was
                 first validated using measured data. Distributions of
                 the composite suitability index were then predicted
                 using the GEP model for various flows. The predicted
                 results were compared with those obtained using the
                 habitat suitability index model. A sensitivity study of
                 the GEP model was also carried out. Finally, the GEP
                 model was used to construct habitat suitability curves
                 for each physical habitat variable. The resulting
                 habitat suitability curves were found to be very
                 similar to those constructed by the method of Gosse
                 (1982). The findings indicate that the conventional
                 multiplicative aggregation method consistently
                 underestimates the composite suitability index. Thus,
                 the geometric mean method is proposed for use with
                 calibrated coefficients.",
  keywords =     "genetic algorithms, genetic programming, Physical
                 habitat simulation, GEP model, Habitat suitability
                 index, Composite suitability index, The Dal River",
}

Genetic Programming entries for Byungwoong Choi Sung-Uk Choi

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