於坤傑

於坤傑，男，博士，畢業於華東理工大學，鄭州大學教授、博士生導師。

基本介紹

• 中文名：於坤傑
• 國籍：中國
• 民族：漢族
• 畢業院校：華東理工大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：工學
• 任職院校：鄭州大學

人物經歷

教育經歷

2012年9月-2017年6月，華東理工大學，信息科學與工程學院，博士

2015年10月-2016年10月，澳大利亞西澳大學，計算機科學與軟體工程學院，聯合培養博士

2008年9月-2012年6月，鄭州輕工業學院，電氣信息工程學院，學士

工作經歷

2024/02-至今，鄭州大學，電氣與信息工程學院，教授

2022/02-2024/01，鄭州大學，電氣與信息工程學院，副教授

2019/04-2022/01，鄭州大學，電氣工程學院，副教授

2017/06-2019/03，鄭州大學，電氣工程學院，講師

研究方向

進化計算，機器學習，複雜工業過程建模與最佳化

學術兼職

SCI期刊Swarm and Evolutionary Computation編委

SCI期刊Expert Systems with Applications編委

SCI期刊Computers and Electrical Engineering編委

EI期刊《複雜系統建模與仿真(英文)》青年編委

鄭州大學學報客座主編

中國仿真學會智慧型仿真最佳化與調度專委會委員

中國人工智慧學會青年工作委員會委員

河南省信息化專家諮詢委員會專家

代表性論著

[1] 梁靜, 於坤傑, 岳彩通, 瞿博陽.《約束進化最佳化》, 電子科技大學出版社, 2023. 12（學術專著）

[2] Kunjie Yu, DezhengZhang, Jing Liang*, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang. Aframework based on historical evolution learning for dynamic multiobjectiveoptimization. IEEE Transactions on Evolutionary Computation, 2023, DOI:10.1109/TEVC.2023.3290485.

[3] Kunjie Yu, DezhengZhang, Jing Liang, Ke Chen*, Caitong Yue, Kangjia Qiao, Ling Wang. ACorrelation-Guided Layered Prediction Approach for Evolutionary DynamicMultiobjective Optimization. IEEE Transactions on Evolutionary Computation, 2023,27 (5): 1398-1412.

[4] Jing Liang, Kangjia Qiao, Kunjie Yu*, Boyang Qu, Caitong Yue, Weifeng Guo, Ling Wang.Utilizing the relationship between unconstrained and constrained Pareto frontsfor constrained multiobjective optimization. IEEE Transactions on Cybernetics, 2023, 53 (6):3873-3886.

[5] Jing Liang, Xuanxuan Ban, Kunjie Yu*, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, KayChen Tan. A Survey on Evolutionary Constrained Multi-objective Optimization.IEEE Transactions on Evolutionary Computation, 2023, 27(2): 201-221.

[6] Kunjie Yu, JingLiang*, Boyang Qu, Yong Luo, Caitong Yue. Dynamic selection preference-assistedconstrained multiobjective differential evolution. IEEE Transactions onSystems, Man, and Cybernetics: Systems; 2022, 52(5): 2954-2965.

[7] Kangjia Qiao, KunjieYu, Boyang Qu, Jing Liang*, Hui Song, Caitong Yue. An EvolutionaryMultitasking Optimization Framework for Constrained Multi-objectiveOptimization Problems. IEEE Transactions on Evolutionary Computation, 2022,26(2): 263-277.

[8] Kangjia Qiao, KunjieYu, Boyang Qu, Jing Liang*, Hui Song, Caitong Yue, Hongyu Lin, Kay ChenTan. Dynamic Auxiliary Task-Based Evolutionary Multitasking for ConstrainedMulti-objective Optimization. IEEE Transactions on Evolutionary Computation, 2023,27(3): 642-656.

[9] Kangjia Qiao, KunjieYu, Boyang Qu, Jing Liang*, Caitong Yue, Xuanxuan Ban. Feature Extractionfor Recommendation of Constrained Multi-Objective Evolutionary Algorithms. IEEETransactions on Evolutionary Computation, 2023, 27(4): 949-963.

[10] Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen*, Boyang Qu,Caitong Yue, Ling Wang. A bidirectional dynamic grouping multi-objectiveevolutionary algorithm for feature selection on high-dimensionalclassification. Information Sciences, 2023, 648: 119619.

[11] Kunjie Yu, Jing Liang*, Boyang Qu, Caitong Yue. Purpose-directedtwo-phase multiobjective differential evolution for constrained multiobjectiveoptimization. Swarm and Evolutionary Computation, 2021, 60: 100799.

[12] Kangjia Qiao, Jing Liang, Kunjie Yu*,Minghua Yuan, Boyang Qu, Caitong Yue. Self-adaptive resources allocation-baseddifferential evolution for constrained evolutionary optimization.Knowledge-Based Systems, 2022, 235: 107653.

[13] Jing Liang, Leiyu Zhang, Kunjie Yu*,Boyang Qu, Fuxing Shang, Kangjia Qiao, Interactive niching-based two-stageevolutionary algorithm for constrained multiobjective optimization. Swarm andEvolutionary Computation, 2023, 83: 101402.

[14] Jing Liang, Kangjia Qiao, Minghua Yuan, Kunjie Yu*, Boyang Qu, Shile Ge, Yaxin Li, Guanlin Chen.Evolutionary multi-task optimization for parameters extraction of photovoltaicmodels. Energy Conversion and Management, 2020, 207, 112509.

[15] Kunjie Yu, Lyndon While, Mark Reynolds, Xin Wang, J.J.Liang, Liang Zhao*, Zhenlei Wang*. Multiobjective optimization of ethylenecracking furnace system using self-adaptive multiobjectiveteaching-learning-based optimization. Energy, 2018, 148: 469-481.

[16] Jing Liang, Shile Ge, Boyang Qu, KunjieYu*, Fengjiao Liu, Haotian Yang, Panpan Wei, Zhimeng Li. Classifiedperturbation mutation based particle swarm optimization algorithm forparameters extraction of photovoltaic models. Energy Conversion and Management,2020, 203, 112138.

[17] Kunjie Yu, Xin Wang, Zhenlei Wang*. Constrained optimizationbased on improved teaching-learning-based optimization algorithm. InformationSciences, 2016, 352-353: 61-78.

[18] Kunjie Yu, Boyang Qu, Caitong Yue, Shilei Ge, Xu Chen, JingLiang*. A performance-guided JAYA algorithm for parameters identification ofphotovoltaic cell and module, Applied Energy, 2019, 237: 241-257.

[19] Kunjie Yu, J.J. Liang*, B.Y. Qu, Xu Chen, Heshan Wang.Parameters identification of photovoltaic models using an improved JAYAoptimization algorithm. Energy Conversion and Management, 2017, 150: 742-753.

[20] Kunjie Yu, Lyndon While, Mark Reynolds, Xin Wang, ZhenleiWang*. Cyclic Scheduling for an Ethylene Cracking Furnace System usingDiversity Learning Teaching-learning-based Optimization. Computers &Chemical Engineering, 2017, 99: 314-324.

[21] Kunjie Yu, J.J. Liang*, B.Y. Qu, Zhiping Cheng, Heshan Wang.Multiple learning backtracking search algorithm for estimating parameters ofphotovoltaic models. Applied Energy, 2018, 226: 408-422.