Understanding Water Level Residuals in Malacca Strait Using Genetic Programming

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@Article{Tay:2016:PE,
  author =       "Serene Hui Xin Tay and Vladan Babovic",
  title =        "Understanding Water Level Residuals in Malacca Strait
                 Using Genetic Programming",
  journal =      "Procedia Engineering",
  volume =       "154",
  pages =        "1267--1274",
  year =         "2016",
  note =         "12th International Conference on Hydroinformatics (HIC
                 2016) - Smart Water for the Future",
  ISSN =         "1877-7058",
  DOI =          "doi:10.1016/j.proeng.2016.07.458",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1877705816318471",
  abstract =     "Hydrodynamics are highly complex in Malacca Strait as
                 it is where tides from Indian Ocean and South China Sea
                 interact. Highly varying topography and geometry, river
                 discharges from land and seasonal monsoon climate
                 contribute further complication to the local flow
                 dynamics and usually requires numerical model to
                 resolve. However, no matter how well the numerical
                 model is calibrated, residual will exist due to
                 imperfect description of underlying physics and lack of
                 high quality input data. Numerous studies have applied
                 data-driven methods to correct numerical model
                 prediction by forecasting the residuals, and shown that
                 these methods are undeniably effective and efficient
                 and being great value to more traditional modelling
                 approaches. However, in complex hydrodynamic system of
                 Malacca Strait, instead of simply treating numerical
                 model residual as a numerical mismatch and addressing
                 it as a time series problem by local correction, in
                 this paper a more interesting and meaningful effort to
                 uncover the underlying dynamics is attempted. This
                 paper explores the ability of genetic programming to
                 unearth the embedded components or dependencies of the
                 numerical model residual in Malacca Strait.",
  keywords =     "genetic algorithms, genetic programming, water level,
                 residuals, Malacca Strait",
}

Genetic Programming entries for Serene Hui Xin Tay Vladan Babovic

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