Wave simulation and forecasting using wind time history and data-driven methods

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "A. R. Kambekar and M. C. Deo",
  title =        "Wave simulation and forecasting using wind time
                 history and data-driven methods",
  journal =      "Ships and Offshore Structures",
  year =         "2010",
  volume =       "5",
  number =       "3",
  month =        "253--266",
  keywords =     "genetic algorithms, genetic programming, wave
                 simulation, wave forecasting, wind time history, model
  ISSN =         "1744-5302",
  DOI =          "doi:10.1080/17445300903439223",
  size =         "14 pages",
  abstract =     "Simulation and forecasting of significant wave heights
                 and average zero-cross wave periods in real time are
                 done for a specified location, given the past observed
                 sequence of wind speed and wind direction. This is
                 based on time series forecasting implemented using the
                 two recent data-driven methods of genetic programming
                 (GP) and model trees (MT). The wave buoy measurements
                 made at eight different offshore locations around the
                 west as well as the east coast in India are considered.
                 Both genetic programming and model trees perform
                 satisfactorily in the given task of wind-wave
                 simulation and forecasting as reflected in the values
                 of the six different error statistics employed to
                 assess the performance of developed models over testing
                 sets of data. Although the magnitudes of error
                 statistics do not indicate a significant difference
                 between the performance of GP and MT, qualitative
                 scatter diagrams and time histories showed the tendency
                 of MT to estimate higher waves more correctly.",
  notes =        "Department of Civil Engineering, Indian Institute of
                 Technology-Bombay, Powai, Mumbai 400 076, India",

Genetic Programming entries for A R Kambekar M C Deo