于坤杰，博士后
E-mail：yukunjie@zzu.edu.cn
于坤杰，博士，副教授，博士生导师，中原英才计划（育才系列）-中原青年拔尖人才、河南省优青、河南省高校科技创新人才、河南省优化与智能控制技术工程研究中心副主任、河南省高等学校青年骨干教师、河南省青年人才托举工程入选者、河南省青少年科技创新奖获得者、郑州大学高层次人才、郑州大学青年人才创新团队支持计划入选者。长期从事进化计算理论与应用方面的研究，发表SCI期刊论文49篇（中科院一区29篇），其中第一/通讯作者SCI论文22篇（中科院一区17篇，单篇影响因子最高19.118），申请和已授权发明专利共8项，入选2022年斯坦福大学全球前2%顶尖科学家榜单，已发表论文谷歌总引用3100余次，H-index=27，入选ESI前1%高被引论文7篇。
先后主持国家自然科学基金项目2项（面上、青年），中国博士后科学基金面上项目2项，省部级人才及科研项目5项（中原青年拔尖人才、河南省优青、河南省高校科技创新人才、河南省青年托举工程等），获得第五届河南省自然科学优秀学术论文一等奖（第一）、河南省教育厅科技成果奖优秀科技论文一等奖2次（第一），担任国际SCI期刊《Swarm and Evolutionary Computation》（中科院一区Top、影响因子10.267）的Associate Editor、《郑州大学学报》客座主编、中国仿真学会智能仿真优化与调度专业委员会委员、中国人工智能学会青年工作委员会委员。【以上数据截止到2023年3月】
主要发表论文：
[1] Kunjie Yu, Dezheng Zhang, Jing Liang, Ke Chen*, Caitong Yue, Kangjia Qiao, Ling Wang. A Correlation-Guided Layered Prediction Approach for Evolutionary Dynamic Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3193287.
[2] Jing Liang, Kangjia Qiao, Kunjie Yu*, Boyang Qu, Caitong Yue, Weifeng Guo, Ling Wang. Utilizing the relationship between unconstrained and constrained Pareto fronts for constrained multiobjective optimization. IEEE Transactions on Cybernetics, 2022, doi: 10.1109/TCYB.2022.3163759.
[3] Jing Liang, Xuanxuan Ban, Kunjie Yu*, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan. A Survey on Evolutionary Constrained Multi-objective Optimization. IEEE Transactions on Evolutionary Computation, 2022, doi: 10.1109/TEVC.2022.3155533.
[4] Kunjie Yu, Jing Liang*, Boyang Qu, Yong Luo, Caitong Yue. Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(5): 2954 - 2965.
[5] Kunjie Yu, Jing Liang*, Boyang Qu, Caitong Yue. Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization. Swarm and Evolutionary Computation, 2021,60: 100799.
[6] Kangjia Qiao, Jing Liang, Kunjie Yu*, Minghua Yuan, Boyang Qu, Caitong Yue. Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization. Knowledge-Based Systems, 2022, 235: 107653.
[7] Jing Liang, Xuanxuan Ban, Kunjie Yu*, Kangjia Qiao, Boyang Qu. Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism. Knowledge-Based Systems, 2022: 109105.
[8] Jing Liang, Xuanxuan Ban, Kunjie Yu*, Boyang Qu, Kangjia Qiao. Differential evolution with rankings-based fitness function for constrained optimization problems. Applied Soft Computing, 2021, 113 : 108016.
[9] Jing Liang, Guanlin Chen, Boyang Qu, Kunjie Yu*, Caitong Yue, Kangjia Qiao, Hua Qian*. Cooperative co-evolutionary comprehensive learning particle swarm optimizer for formulation design of explosive simulant. Memetic Computing, 2020, 12: 331–341.
[10] Jing Liang, Kangjia Qiao, Kunjie Yu*, Shile Ge, Boyang Qu, Ruohao Xu, Ke Li. Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution. Solar Energy, 2020, 207: 336-346.
[11] Jing Liang, Kangjia Qiao, Minghua Yuan, Kunjie Yu*, Boyang Qu, Shile Ge, Yaxin Li, Guanlin Chen. Evolutionary multi-task optimization for parameters extraction of photovoltaic models. Energy Conversion and Management, 2020, 207, 112509.
[12] Jing Liang, Shile Ge, Boyang Qu, Kunjie Yu*, Fengjiao Liu, Haotian Yang, Panpan Wei, Zhimeng Li. Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models. Energy Conversion and Management, 2020, 203, 112138.
[13] Kunjie Yu, Boyang Qu, Caitong Yue, Shilei Ge, Xu Chen, Jing Liang*, A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module, Applied Energy, 2019, 237: 241-257.
[14] Kunjie Yu, Lyndon While, Mark Reynolds, Xin Wang, J.J. Liang, Liang Zhao*, Zhenlei Wang*. Multiobjective optimization of ethylene cracking furnace system using self-adaptive multiobjective teaching-learning-based optimization. Energy, 2018, 148: 469-481.
[15] Kunjie Yu, J.J. Liang*, B.Y. Qu, Zhiping Cheng, Heshan Wang. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models. Applied Energy, 2018, 226: 408-422.
[16] Kunjie Yu, J.J. Liang*, B.Y. Qu, Xu Chen, Heshan Wang. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm. Energy Conversion and Management, 2017, 150: 742-753.
[17] Kunjie Yu, Xu Chen, Xin Wang, Zhenlei Wang*. Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization. Energy Conversion and Management, 2017, 145: 233-246.
[18] Kunjie Yu, Xin Wang, Zhenlei Wang*. Constrained optimization based on improved teaching-learning-based optimization algorithm. Information Sciences, 2016, 352-353: 61-78.
[19] Kunjie Yu, Lyndon While, Mark Reynolds, Xin Wang, Zhenlei Wang. Cyclic Scheduling for an Ethylene Cracking Furnace System using Diversity Learning Teaching-learning-based Optimization. Computers & Chemical Engineering, 2017, 99: 314-324.
[20] Kunjie Yu, Xin Wang, Zhenlei Wang*. An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems. Journal of Intelligent Manufacturing, 2016, 27(4): 831-843.
[21] Kunjie Yu, Xin Wang, Zhenlei Wang. Multiple learning particle swarm optimization with space transformation perturbation and its application in ethylene cracking furnace optimization. Knowledge-Based Systems, 2016, 96: 156-170.
[22] Kunjie Yu, Xin Wang, Zhenlei Wang. Self-adaptive multi-objective teaching-learning-based optimization and its application in ethylene cracking furnace operation optimization. Chemometrics and Intelligent Laboratory Systems, 2015, 146: 198-210.
[23] 于坤杰, 王昕, 王振雷.基于反馈的精英教学优化算法.自动化学报, 2014, 40(9): 1976-1983.
[24] 于坤杰, 王昕, 王振雷.改进的教学优化算法及其应用.化工进展, 2014, 33(4): 850-854.
[25] 梁静, 葛士磊, 瞿博阳, 于坤杰*. 求解电力系统经济调度问题的改进粒子群优化算法.控制与决策, 2020, 35 (8): 1813-1822.