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Journal of water resources planning and management, 2004,130(1):73-82. 乔俊飞男.1968年生，教授博士生 [16]JIANG Siwei,CAI Zhihua,ZHANG Jie,et al.Multiob- 导师，主要研究方向为智能信息处理、 智能优化控制。近5年在Automat-- jective optimization by decomposition with Pareto-adapt- ica,IEEE Transactionson Control Sys- ive weight vectors[Cl//International Conference on Nat- tems Technology,Journal of Process ural Computation,Icnc 2011,Shanghai,China,26-28 Ju- Control、Control Engineering Practice、 y.DBLP,2011:1260-1264 自动化学报及电子学报等刊物上发表 [17]SEDKI A,OUAZAR D.Hybrid particle swarm optimiza- 学术论文近70篇，被SCI收录15篇。获教育部科技进步奖 tion and differential evolution for optimal design of water 一等奖和北京市科学技术奖三等奖各1项，获得授权国家发 distribution systems[J].Advanced engineering informat- 明专利12项。urban water distribution networks[D]. Shanghai: Tongji University, 2007, 5–7. LI Mingming, LIU Shuming, ZHANG Ling, et al. Non￾dominated sorting genetic algorithms-iibased on multi-ob￾jective optimization model in the water distribution system[J]. 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IEEE transactions on evolutionary compu￾tation, 2014, 18(4): 577–601. [14] PRASAD T D, PARK N S. Multiobjective genetic al￾gorithms for design of water distribution networks[J]. Journal of water resources planning and management, 2004, 130(1): 73–82. [15] JIANG Siwei, CAI Zhihua, ZHANG Jie, et al. Multiob￾jective optimization by decomposition with Pareto-adapt￾ive weight vectors[C]// International Conference on Nat￾ural Computation, Icnc 2011, Shanghai, China, 26–28 Ju￾ly. DBLP, 2011: 1260–1264. [16] SEDKI A, OUAZAR D. Hybrid particle swarm optimiza￾tion and differential evolution for optimal design of water distribution systems[J]. Advanced engineering informat- [17] ics, 2012, 26(3): 582–591. MA Xiaoliang, LIU Fang, QI Yutao, et al. A multiobject￾ive evolutionary algorithm based on decision variable analyses for multiobjective optimization problems with large-scale variables[J]. IEEE transactions on evolution￾ary computation, 2016, 20(2): 275–298. [18] TANG Lixin, WANG Xianpeng. A hybrid multiobjective evolutionary algorithm for multiobjective optimization problems[J]. IEEE transactions on evolutionary computa￾tion, 2013, 17(1): 20–45. [19] JIANG Shouyong, YANG Shengxing. Evolutionary dy￾namic multiobjective optimization: benchmarks and al￾gorithm comparisons[J]. IEEE transactions on cybernet￾ics, 2017, 47(1): 198–211. [20] 作者简介： 孟勤超，男，1993 年生，硕士研究 生，主要研究方向为智能优化算法及 其应用。 杨翠丽，女，1986 年生，讲师，博 士研究生，主要研究方向为进化算法 和智能信息处理。发表学术论文 10 余篇，其中 SCI 检索 7 篇，EI 检索 12 篇。 乔俊飞,男,1968 年生,教授,博士生 导师,主要研究方向为智能信息处理、 智能优化控制。近 5 年在 Automat￾ica、IEEE Transactionson Control Sys￾tems Technology、Journal of Process Control、Control Engineering Practice、 自动化学报及电子学报等刊物上发表 学术论文近 70 篇,被 SCI 收录 15 篇。获教育部科技进步奖 一等奖和北京市科学技术奖三等奖各 1 项,获得授权国家发 明专利 12 项。 ·124· 智 能 系 统 学 报 第 13 卷