Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Margarita Preciado and Maritza L. Arganis and 
                 Alfredo Ocon and Ramon {Dominguez Mora} and Katya Rodriguez",
  title =        "Rainfall Interpolation Models Obtained By Means Of
                 Evolutionary Computing",
  booktitle =    "11th International Conference on Hydroinformatics",
  year =         "2014",
  address =      "New York, USA",
  month =        aug # " 17-21",
  organisation = "IAHR/IWA Joint Committee on Hydroinformatics",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-692-28129-1",
  URL =          "http://www.hic2014.org/xmlui/Preciado_2014_HIC.pdf",
  size =         "8 pages",
  abstract =     "Complete missing records is a matter of great
                 importance in hydrology problems. In this work we
                 applied genetic algorithms and genetic programming
                 models for precipitation in Cutzamala River Basin,
                 Mexico, such models depend on the geographical
                 coordinates and altitude of climatologic stations
                 currently in operation. The obtained models were
                 applied to interpolate 24 hours rainfalls for three
                 analysed storms. The Genetic programming model
                 outperformed the genetic algorithm in the estimation of
                 precipitation 24 hours estimated on a site, with
                 respect to the measured data.",
  notes =        "http://www.hic2014.org/xmlui/",

Genetic Programming entries for Margarita Elizabeth Preciado Jimenez Maritza Liliana Arganis Juarez Alfredo Ocon Ramon Dominguez Mora Katya Rodriguez-Vazquez