于坤杰，教授，博士生导师
E-mail：yukunjie@zzu.edu.cn
于坤杰，郑州大学特聘教授、博导，河南省优化与智能控制技术工程研究中心副主任，入选中原青年拔尖人才、河南省优青、河南省高校科技创新人才、河南省青年人才托举工程、河南省高等学校青年骨干教师、美国斯坦福大学全球前2%顶尖科学家榜单（连续5年）。围绕群体智能优化及应用开展研究，在IEEE 汇刊及中科院一区等期刊发表SCI收录论文60余篇，Google学术引用6800余次，H指数39，ESI高被引论文14篇、ESI热点论文1篇，出版学术专著1部。主持国家自然科学基金项目3项、河南省重点研发专项等省部级项目10项。现任3个国际SCI期刊编委、中国仿真学会智能仿真优化与调度专委会副秘书长、中国自动化学会青工委委员、中国人工智能学会青工委委员等。获得第二届博士后创新创业大赛金奖、河南省人社厅给予个人记大功、河南省教育厅科技成果一等奖、河南省自然科学学术论文一等奖、智能优化与调度学术会议青年科学家奖等荣誉奖项。指导学生获得国家级大学生创新创业训练计划项目、第三届中国大学生智能照明和智能穿戴创新创业大赛智能照明组特等奖、研究生国家奖学金、国际会议最佳论文奖等。
发表论文（20篇代表性）：
[1] Dezheng Zhang, Kai Zhang, Kunjie Yu*, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue. Dynamic Constrained Multiobjective Evolutionary Algorithm with Multipopulation Prediction and Dynamic Fusion Ranking. IEEE Transactions on Evolutionary Computation, 2025, DOI: 10.1109/TEVC.2025.3569387.
[2] Kunjie Yu, Xuyang Zhang, Dezheng Zhang, Jing Liang, Yumeng Li, Heshan Wang*, Ke Chen, Caitong Yue. Historical Information-assisted Dynamic Response Integration and Adaptive Niche Methods for Dynamic Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 2024, DOI: 10.1109/TEVC.2025.3527478.
[3] Kunjie Yu, Fan Chen, Jing Liang, Mingyuan Yu*, Ke Chen, Caitong Yue, Ying Bi. Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, DOI: 10.1109/TSMC.2025.3573195
[4] Ke Chen, Wenjie Wang, Fangfang Zhang, Jing Liang, Kunjie Yu*. Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis. IEEE/CAA Journal of Automatica Sinica, 2025, DOI: 10.1109/JAS.2025.125306.
[5] Dezheng Zhang, Kunjie Yu*, Jing Liang, Kangjia Qiao, Boyang Qu, Ke Chen, Caitong Yue, Ling Wang. History-Assisted Two-State Auxiliary Task Collaboration Approach for Dynamic Constrained Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 2024, DOI: 10.1109/TEVC.2024.3425756.
[6] Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen*, Boyang Qu, Caitong Yue, P. N. Suganthan. A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54(12): 7305-7317.
[7] Kunjie Yu, Jintao Lian, Ying Bi*, Jing Liang, Bing Xue, Mengjie Zhang. An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming. IEEE Transactions on Evolutionary Computation, 2024, DOI: 10.1109/TEVC.2024.3459096.
[8] Kunjie Yu, Dezheng Zhang, Jing Liang*, Boyang Qu, Mengnan Liu, Ke Chen, Caitong Yue, Ling Wang. A framework based on historical evolution learning for dynamic multiobjective optimization. IEEE Transactions on Evolutionary Computation, 2024, 28(4): 1127-1140.
[9] 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, 2023, 27 (5): 1398-1412.
[10] 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, 2023, 53 (6): 3873-3886.
[11] 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, 2023, 27(2): 201-221.
[12] 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.
[13] Heshan Wang, Mengmeng Chen, Kunjie Yu*, Jing Liang, Zhaomin Lv, Zhong Zhang. KT-RC: Kernel time-delayed reservoir computing for time series prediction. IEEE/CAA Journal of Automatica Sinica, 2024, DOI: 10.1109/JAS.2024.124986.
[14] 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.
[15] 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.
[16] Jing Liang, Leiyu Zhang, Kunjie Yu*, Boyang Qu, Fuxing Shang, Kangjia Qiao, Interactive niching-based two-stage evolutionary algorithm for constrained multiobjective optimization. Swarm and Evolutionary Computation, 2023, 83: 101402.
[17] 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.
[18] 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.
[19] 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.
[20] 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.