Rainfall Runoff Modelling based on Genetic Programming

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

@Article{NordicHy,
  author =       "Vladan Babovic and Maarten Keijzer",
  title =        "Rainfall Runoff Modelling based on Genetic
                 Programming",
  journal =      "Nordic Hydrology",
  year =         "2002",
  volume =       "33",
  number =       "5",
  pages =        "331--346",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "0029-1277",
  URL =          "http://www.iwaponline.com/nh/033/0331/0330331.pdf",
  abstract =     "The runoff formation process is believed to be highly
                 non-linear, time varying, spatially distributed, and
                 not easily described by simple models. Considerable
                 time and effort has been directed to model this
                 process, and many hydrologic models have been built
                 specifically for this purpose. All of them, however,
                 require significant amounts of data for their
                 respective calibration and validation. Using physical
                 models raises issues of collecting the appropriate data
                 with sufficient accuracy. In most cases it is difficult
                 to collect all the data necessary for such a model.

                 By using data driven models such as genetic programming
                 (GP), one can attempt to model runoff on the basis of
                 available hydrometeorological data. This work addresses
                 use of genetic programming for creating rainfall-runoff
                 models on the basis of data alone, as well as in
                 combination with conceptual models (i.e taking
                 advantage of knowledge about the problem domain).",
}

Genetic Programming entries for Vladan Babovic Maarten Keijzer

Citations