Evolutionary Computing in Hydrology

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{Babovic:2010:ECinH,
  author =       "Vladan Babovic and Raghuraj Rao",
  title =        "Evolutionary Computing in Hydrology",
  booktitle =    "Advances in Data-Based Approaches for Hydrologic
                 Modeling and Forecasting",
  publisher =    "World Scientific Publishing Co.",
  year =         "2010",
  editor =       "Bellie Sivakumar and Ronny Berndtsson",
  chapter =      "7",
  pages =        "347--369",
  address =      "Singapore",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "981-4307-97-1",
  URL =          "http://ebooks.worldscinet.com/ISBN/9789814307987/9789814307987_0007.html",
  DOI =          "doi:10.1142/9789814307987_0007",
  abstract =     "Many hydrologic processes are believed to be highly
                 complex, nonlinear, time-varying, and spatially
                 distributed. Hence, the governing mechanisms are not
                 easily described by simple models. With unprecedented
                 growth in instrumentation technology, recent
                 investigations in hydrology are supported with immense
                 quantities of data. In order to take full advantage of
                 the information contained in such data, scientists are
                 increasingly relying on a suite of data-driven
                 techniques to understand the complex hydrologic
                 processes. Evolutionary computing (EC) techniques, with
                 a host of optimisation and modelling tools, can
                 contribute significantly to achieve the objectives of
                 this knowledge-discovery exercise in hydrology. This
                 chapter discusses the utility of these EC techniques in
                 attempting data analysis and modeling problems
                 associated with hydrologic systems. It introduces the
                 concept and working principle of EC techniques in
                 general and reviews their applications to different
                 domains of hydrology. The study also illustrates
                 different case studies of genetic programming (GP)
                 technique as a modelling, data assimilation, and model
                 emulation tool",
  notes =        "http://www.worldscibooks.com/environsci/7783.html",
}

Genetic Programming entries for Vladan Babovic K Rao Raghuraj

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