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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Bibliographic Details
Published in:	Journal of water and climate change 2022-11, Vol.13 (11), p.4069-4086
Main Authors:	Wang, Manlin, Zhang, Yu, Lu, Yan, Wan, Xinyu, Xu, Bin, Yu, Lei
Format:	Article
Language:	English
Subjects:	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
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