State-of-art of genetic programming applications in water-resources systems analysis.

Clicks: 153
ID: 88661
2020
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Abstract
Evolutionary algorithms (EAs) have become competitive solvers of a wide variety of water-resources optimization problems. Genetic programming (GP) has become a leading EA since its inception in 1985. This paper reviews the state-of-the-art of GP and its applications in water-resources systems analysis. A comprehensive knowledge about GP's theory and modeling approach is essential for its successful application in water-resources systems analysis. This review presents variants of GP that have been proven useful in various applications to water resources problems. Several examples of applications of GP in water-resources systems analysis are herein presented. This review reveals GP's capability and superiority compared to other conventional methods, which makes it suitable for solving a wide variety of water-related problems including rainfall-runoff modeling, streamflow sediment prediction, flood prediction and routing, evaporation and evapotranspiration forecasting, reservoir operation, groundwater modeling, water quality modeling, water demand forecasting, and water distribution systems.
Reference Key
mohammadazari2020stateofartenvironmental Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mohammad-Azari, Sahar;Bozorg-Haddad, Omid;Loáiciga, Hugo A;
Journal Environmental monitoring and assessment
Year 2020
DOI
10.1007/s10661-019-8040-9
URL
Keywords
evolutionary programming fixed-length gene genetic programming gene-expression programming linear genetic programming

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