博士 研究员（直聘） 博士生导师
Email：chenkezixf@zzu.edu.cn
陈科，毕业于山东大学，目前就职于郑州大学，研究方向为长期从事复杂数据信息挖掘、进化特征选择、进化迁移优化、多目标优化、智能故障诊断等。近年来，在IEEE TEVC、IEEE TCYB、IEEE TSMC等高水平学术期刊和会议上发表论文40余篇，4篇入选ESI高被引论文；申请发明专利18项，其中授权7项。担任教育部学位论文评审专家、河南省科技项目评审专家、中国仿真学会智能仿真优化与调度专委会委员等，担任包括IEEE TEVC、IEEE TCYB、IEEE TSMC、IEEE TAI等20余个高水平期刊/会议特邀审稿人。入选河南省高层次人才、中原青年博士后创新人才、中原青年拔尖人才和河南省科协青年托举人才。主持国家自然科学基金面上项目、青年项目、中国博士后科学基金特别资助等国家/省部级项目7项。获得河南省教育厅科技学术论文类一等奖2次、中国自动化学会优秀博士学位论文提名奖、河南省博士后创新创业大赛最佳创意奖、郑州大学“三育人”先进个人。担任期刊《Intelligent Marine Technology and Systems》青年编委、期刊《Computers & Electrical Engineering》Associate Editor、期刊《信息与控制》青年顾问团专家。
主要发表论文：
[1] Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou*. An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification [J]. IEEE Transactions on Cybernetics, 2022, 52(7): 7172-7186.
[2] Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou*. Evolutionary Multitasking for Feature Selection in High-dimensional Classification via Particle Swarm Optimisation [J]. IEEE Transactions on Evolutionary Computation, 2022, 26(3): 446-460.
[3] Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou*. Correlation-Guided Updating Strategy for Feature Selection in Classification with Surrogate-Assisted Particle Swarm Optimisation [J]. IEEE Transactions on Evolutionary Computation, 2022, 26(5): 1015-1029.
[4] Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen*, Kunjie Yu, Caitong Yue, A Multiform Framework for Multiobjective Feature Selection in Unbalanced Classification: Combining Oversampling and Cost-Sensitive Learning [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(8): 5717 - 5729.
[5] Ke Chen, Mingyang Dao, Ying Bi*, Jing Liang, Zhenlong Wu, Peng Wang, A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification [J]，Knowledge-Based Systems, 2025, 319: 113643.
[6] Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen*, Mengjie Zhang, Phenotype and Genotype Based Sample Aware Surrogate-Assisted Genetic Programming in Dynamic Flexible Job Shop Scheduling [J]. IEEE Transactions on Artificial Intelligence, 2025, Oline, doi: 10.1109/TAI.2025.3562161.
[7] Ke Chen, Wenjie Wang, Fangfang Zhang, Jing Liang, Kunjie Yu*. Correlation-Guided Particle Swarm Optimization Approach for Feature Selection in Fault Diagnosis [J]. IEEE/CAA Journal of Automatica Sinica, 2025, 10.1109/JAS.2025.125306.
[8] Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen*, Boyang Qu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan. A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54(12): 7305-7317.
[9] Jing Liang, Yuyang Zhang, Boyang Qu, Ke Chen*, Kunjie Yu, Caitong Yue. A Multiform Optimization Framework for Multi-objective Feature Selection in Classification. IEEE Transactions on Evolutionary Computation, 2024, 28(4): 1024-1038.
[10] 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.
[11] Kunjie Yu, Shaoru Sun, Jing Liang, Ke Chen*, Boyang Qu, Caitong Yue, Ling Wang. A bidirectional dynamic grouping multi-objective evolutionary algorithm for feature selection on high-dimensional classification. Information Sciences, 2023, 648: 119619.
[12] Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou*. Novel Chaotic Grouping Particle Swarm Optimization with A Dynamic Regrouping Strategy for Solving Numerical Optimization Tasks [J]. Knowledge-Based Systems, 2020, p. 105568.
[13] Ke Chen, Fengyu Zhou*, Xianfeng Yuan. Hybrid Particle Swarm Optimization with Spiral-Shaped Mechanism for Feature Selection [J]. Expert Systems with Applications, 2019, 128: 140-156.
[14] Ke Chen, Fengyu Zhou*, Lei Yin, Shuqian Wang, Yugang Wang, Fang Wan. A Hybrid Particle Swarm Optimizer with Sine Cosine Acceleration Coefficients [J]. Information Sciences, 2018, 422: 218-241.
[15] Ke Chen, Fengyu Zhou*, Aling Liu. Chaotic Dynamic Weight Particle Swarm Optimization for Numerical Function Optimization [J]. Knowledge-Based Systems, 2018, 139: 23-40.
[16] Ke Chen, Fengyu Zhou*, Yugang Wang, Lei Yin. An Ameliorated Particle Swarm Optimizer for Solving Numerical Optimization Problems [J]. Applied Soft Computing, 2018, 73: 482-496.
[17] Peifeng Niu, Ke Chen*, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li. Model Turbine Heat Rate by Fast Learning Network with Tuning Based on Ameliorated Krill Herd Algorithm [J]. Knowledge-Based Systems, 2017, 118: 80-92.
[18] Jing Liang, Yuyang Zhang, Ke Chen*, Boyang Qu, Kunjie Yu, Caitong Yue, Ponnuthurai Nagaratnam Suganthan. An evolutionary multi-objective method based on dominance and decomposition for feature selection in classification[J]. Science China Information Sciences, 2024, 67: 120101.
[19] Jing Liang, Hao Guo, Ke Chen*, Kunjie Yu, Caitong Yue, Xia Li. An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics [J]. Robotica, 2023;41(4):1087-1097.
[20] Jing Liang, Hao Guo, Ke Chen*, Kunjie Yu, Caitong Yue, Yunpeng Ma. A Survey on Intelligent Optimization Approaches to Boiler Combustion Optimization. CAAI Artificial Intelligence Research, 2023, 2: 9150014.