Comparison of multi-objective genetic algorithms for optimization of cascade reservoir systems

Multi-objective genetic algorithms (MOGAs) are widely used for multi-reservoir systems’ optimization due to their high efficiency and fast convergence. However, the computational cost grows exponentially with the expansion of multi-reservoir systems and the increased dimensions of optimization probl...

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Veröffentlicht in:	Journal of water and climate change Jg. 13; H. 11; S. 4069 - 4086
Hauptverfasser:	Wang, Manlin, Zhang, Yu, Lu, Yan, Wan, Xinyu, Xu, Bin, Yu, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London IWA Publishing 01.11.2022
Schlagworte:	Algorithms cascade reservoir systems Climate change Computer applications Dimensions Evolutionary algorithms genetic algorithm Genetic algorithms Hydroelectric power Hydrology hydropower system Linear programming Mathematical models multi-objective optimization Multiple objective analysis Numerical experiments Objectives Optimization models Optimization techniques Performance evaluation Reservoir operation Reservoirs Runoff Sorting algorithms yalong river China
ISSN:	2040-2244, 2408-9354
Online-Zugang:	Volltext
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