Soft and hard computing approaches for real-time prediction of currents in a tide-dominated coastal area

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

@Article{Charhate:2007:JEME,
  author =       "S. B. Charhate and M. C. Deo and V. Sanil Kumar",
  title =        "Soft and hard computing approaches for real-time
                 prediction of currents in a tide-dominated coastal
                 area",
  journal =      "Proceedings of the Institution of Mechanical
                 Engineers, Part M: Journal of Engineering for the
                 Maritime Environment",
  year =         "2007",
  volume =       "221",
  number =       "4",
  pages =        "147--163",
  keywords =     "genetic algorithms, genetic programming, tidal
                 currents, neural networks, harmonic analysis, current
                 measurements",
  ISSN =         "1475-0902",
  DOI =          "doi:10.1243/14750902JEME77",
  size =         "19 pages",
  abstract =     "The prediction of tidal currents in the coastal region
                 on a real-time or online basis is useful in taking
                 operation- and planning-related decisions such as
                 towing of vessels and monitoring of oil slick
                 movements. Currently, however, this is done in offline
                 mode on the basis of the statistical method of harmonic
                 analysis involving fitting of harmonic functions to
                 measured data. Alternatively, numerical solutions of
                 hydrodynamic models can also provide spatial and
                 temporal information on currents. Owing to the complex
                 real sea conditions, such methods may not always yield
                 satisfactory results. This paper discusses a few
                 alternative approaches based on the soft computing
                 tools of artificial neural networks (ANNs) and genetic
                 programming (GP), as well as the hard mathematical
                 approaches of stochastic and statistical methods. The
                 suggested schemes use only a univariate time series of
                 currents to forecast their future values. The
                 measurements of coastal currents made at two locations
                 in the Gulf of Khambhat along the west coast of India
                 have been analysed. The current predictions over a time
                 step of 20 min, a few hours, and a day at the specified
                 locations were carried out. It was found that the soft
                 computing schemes of GP and ANN performed better than
                 the traditional hard technique of harmonic analysis in
                 the present application. This work should initiate more
                 application of GP in coastal engineering. Addressing
                 the problem of current predictions in real-time mode
                 based on analysis of observed time series of ocean
                 currents is a specialty of this work.",
  notes =        "ARIMA, ANN, GP. Department of Civil Engineering,
                 Indian Institute of Technology, Bombay",
}

Genetic Programming entries for S B Charhate M C Deo V Sanil Kumar

Citations