Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Preciado:2014:HIC,

• 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 = "broken July 2020 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

Citations