Genetic programming for real-time prediction of offshore wind

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Charhate:2009:SOS,
  author =       "S. B. Charhate and M. C. Deo and S. N. Londhe",
  title =        "Genetic programming for real-time prediction of
                 offshore wind",
  journal =      "Ships and Offshore Structures",
  year =         "2009",
  volume =       "4",
  number =       "1",
  pages =        "77--88",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, artificial
                 neural networks, wind speed, wind direction, wind
                 prediction",
  ISSN =         "1744-5302",
  DOI =          "doi:10.1080/17445300802492638",
  size =         "12 pages",
  abstract =     "Wind speed and its direction at two offshore locations
                 along the west coast of India are predicted over future
                 time-steps of 3 to 24 hrs based on a sequence past wind
                 measurements made by floating buoys. This is done based
                 on a relatively new soft computing tool using genetic
                 programming. The attention of investigators has
                 recently been drawn to the application of this approach
                 that differs from the well-known technique of genetic
                 algorithms in basic coding and application of genetic
                 operators. Unlike most of the past works dealing with
                 causative modelling or spatial correlations, this study
                 explores the usefulness of genetic programming to carry
                 out temporal regression. It is found that the resulting
                 predictions of wind movements rival those made by an
                 equivalent and more traditional artificial neural
                 network and sometimes appear more attractive when
                 multiple-error criteria were applied. The success of
                 genetic programming as a modelling tool reported in
                 this study may inspire similar applications in future
                 in the problem domain of offshore engineering, and more
                 research in the computing domain as well.",
  notes =        "Department of Civil Engineering, Indian Institute of
                 Technology Bombay, Mumbai, India",
}

Genetic Programming entries for S B Charhate M C Deo S N Londhe

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