%0 Journal Article
%A LIU Xin-yuan
%A ZHU Yong-hui
%A GUO Xiao-hu
%A QU Geng
%T Comparative Research on Multi-objective Optimization Algorithms for Optimal Reservoir Operation
%D 2015
%R 10.3969/j.issn.1001-5485.2015.07.003
%J Journal of Yangtze River Scientific Research Institute
%P 9-14
%V 32
%N 7
%X Multi-objective intelligent optimization algorithms have been widely used in reservoir management and operation. However, selection of various emerging algorithms is still one of the research hotspots during reservoir management and operation. With highly simplified problems, many studies emphasized on the practicability of algorithms in reservoir optimization operation. Further studies are still needed in algorithm selection, algorithm performance and multi-objective optimization, especially. In this paper we selected some widely used multi-objective algorithms, 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 reservoir optimization operation.
%U http://ckyyb.crsri.cn/EN/10.3969/j.issn.1001-5485.2015.07.003