Decision support for irrigation project planning using a genetic algorithm
By S. Kuo, G. Merkley, Chen‐Wuing Liu. 2000
121 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Ocean Engineering, Soil Science
View Paper: https://www.semanticscholar.org/paper/8cd153c1fc92ce460bff8eb3913adbbfe0fd1d54
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In Artificial Intelligence
In Ocean Engineering
In Soil Science
Citations in the corpus
- Application of Differential Evolution for Irrigation Planning: An Indian Case Study (2007, background): “Kuo et al. (2000) developed on-farm irrigation scheduling and the Genetic Algorithm (GA) optimization model for irrigation project planning with the objective of optimizing economic profits.”
- Irrigation scheduling of a classical gravity network based on the Covariance Matrix Adaptation - Evolutionary Strategy algorithm (2014, methodology): “Several other studies (Chen, 1997; Raju and Kumar, 2004; Mathur et al.; 2009; Elferchichia et al., 2009; Sharif and Wardlaw, 2000; Kuo et al., 2000) demonstrated the efficiency and the strength of genetic algorithm approach as an optimization tool to provide good solutions for an irrigation scheduli”
- Irrigation planning using Genetic Algorithms (2004, methodology): “The results are compared with those obtained using Linear Programming (LP) method, to assess the relative validity of both the models for a real world planning problem.”