Multi-Objective Optimal Scheduling of Water Transmission and Distribution Channel Gate Groups Based on Machine Learning

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Bibliographische Detailangaben
Veröffentlicht in:	Agriculture vol. 15, no. 13 (2025), p. 1344-1367
1. Verfasser:	Du Yiying
Weitere Verfasser:	Zhang Chaoyue, Wei, Rong, Cao, Li, Zhao, Tiantian, Wang, Wene, Hu Xiaotao
Veröffentlicht:	MDPI AG
Schlagworte:	Water engineering Irrigation Water supply Algorithms Water shortages Optimization Water levels Open channels Multiple objective analysis Irrigation water Machine learning Pareto optimum Gates Energy consumption Prediction models Water distribution Efficiency Scheduling Water conservation Simulation Irrigation districts Artificial intelligence Global optimization Genetic algorithms Decision making Objective function Deviation Errors Hydraulics Operating costs Environmental
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