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中文摘要：
多目标智能优化算法种类繁多,不断涌现,在水库优化调度中得到了广泛应用,但多目标智能优化技术仍然是目前水库群综合利用优化调度研究中的热点和难点之一。已有的研究算法大多是关于水库优化调度中适用性的应用研究,且实际问题简化多,在算法算子的选择、算法性能的探讨和比较、特别是多目标优化等方面还不够深入。为此,选择应用较为广泛的NSGA-Ⅱ和DEMO算法,从变量规模、约束处理技术等方面,对其在水库多目标优化调度中的应用效果进行初步分析、比较和评估,为水库多目标优化调度算法的选择提供了参考。
英文摘要：
Multi-objective intelligent optimization algorithms have been widely used in reservoir management and op-eration.However,selection of various emerging algorithms is still one of the research hotspots during reservoir man-agement and operation.With highly simplified problems,many studies emphasized on the practicability of algo-rithms in reservoir optimization operation.Further studies are still needed in algorithm selection,algorithm perform-ance and multi-objective optimization,especially.In this paper we selected some widely used multi-objective algo-rithms,i.e.NSGA-II and DEMO,and analysed,compared and evaluated their applications in terms of the number of decision variables and the constraint handling.This study helps to select proper optimization algorithms in reser-voir optimization operation.
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