Comparative Study of Optimization Algorithms for The Optimal Reservoir Operation

摘要：

　　Apart from traditional optimization techniques,e.g.progressive optimality algorithm (POA),modern intelligence algorithms,like genetic algorithms,differential evolution have been widely used to solve optimization problems.This paper deals with comparative analysis of POA,GA and DE and their applications in a reservoir operation problem.The results show that both GA and DES are feasible to reservoir operation optimization,but they display different features.GA and DE have many parameters and are difficult in determination of these parameter values.For simple problems with mall number of decision variables,GA and DE are better than POA when adopting appropriate parameter values and constraint handling methods.But for complex problem with large number of variables,POA combined with simplex method are much superior to GA and DE in time-assuming and quality of optimal solutions.This study helps to select proper optimization algorithms and parameter values in reservoir operation.

作者: Xinyuan Liu Yonghui Zhu Lingyun Li Lu Chen

作者单位: Key Laboratory of River Regulation and Flood Control of MWR,Changjiang River Scientific Research Institute,Wuhan 430010,China College of Hydropower & Information Engineering,Huazhong University of Science & Technology,Wuhan,430074,China

会议类型: 国际会议

会议名称: 2018 International Symposium on Water System Operations(ISWRSO 2018)(2018年水资源系统及调度国际研讨会)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）