Evolutionary algorithm for reference evapotranspiration analysis

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@Article{JOVIC:2018:CEA,

• author = "Srdjan Jovic and Blagoje Nedeljkovic and Zoran Golubovic and Nikola Kostic",
• title = "Evolutionary algorithm for reference evapotranspiration analysis",
• journal = "Computers and Electronics in Agriculture",
• volume = "150",
• pages = "1--4",
• year = "2018",
• keywords = "genetic algorithms, genetic programming, Evolutionary algorithm, Evapotranspiration, Estimation",
• ISSN = "0168-1699",
• DOI = "doi:10.1016/j.compag.2018.04.003",
• URL = "http://www.sciencedirect.com/science/article/pii/S0168169918303934",
• abstract = "Evapotranspiration of important indicator for management and planning of water resources. It is essential to analyze the evapotranspiration in order to improve water resources planning. The main goal of the study was to analyze the evapotranspiration based on several input parameters. It is important to estimate the influence of the input parameters on the evapotranspiration. For such a purpose evolutionary algorithm was applied. The algorithm applied in this article has space solution of genetic programs. Therefore this methodology is known as genetic programming. The input parameters in the model are monthly minimum and maximum air temperatures, sunshine hours, actual vapour pressure, minimum and maximum relative humidity and wind speed. Results presented in this study could be used for practical application of water resources planning and management based on the input parameters influence on the evapotranspiration",
• keywords = "genetic algorithms, genetic programming, Evolutionary algorithm, Evapotranspiration, Estimation",

}

Genetic Programming entries for Srdan Jovic Blagoje Nedeljkovic Zoran Golubovic Nikola Kostic

Citations