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机译:采用逐次逼近的进化算法提高大型梯级水库水电输出
State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Department of Bioenvironmental Systems Engineering National Taiwan University;
State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University;
Department of Bioenvironmental Systems Engineering National Taiwan University;
State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Department of Geosciences University of Oslo;
Hydropower output; Multi-objective optimization; Artificial Intelligence (AI); Non-Dominated Sorting Genetic Algorithm-II (NSGA-II); Cascade reservoirs; Yangtze River;
机译:使用改进的肾算法刺激Mega级联水库的水电输出
机译:基于改进的梯级水电站短期优化调度的成功逼近算法及软件开发
机译:在不增加大型梯级水库洪水风险的情况下提高水利用和水力发电的方法
机译:生态位混沌粒子群优化算法及其在梯级水库调度中的应用。
机译:梯级水库水电系统的建模与控制。
机译:利用进化算法优化Karun-4水库水库调度的数据
机译:级联水电站的多目标运作使用TOPSIS和引力搜索算法与反对派学习与突变
机译:非线性系统的分层逐次逼近算法:第二部分。基于Costate协调的算法