陈科，博士
副研究员
Email：chenkezixf@zzu.edu.cn
陈科，2021年6月毕业于山东大学机器人研究中心，获工学博士学位；2018年11月—2020年11月通过国家留学基金委，赴新西兰惠灵顿维多利亚大学（Victoria University of Wellington）进行博士联合培养。2021年9月进入郑州大学电气工程学院工作。
一直从事进化计算、特征选择、机器学习、复杂工业系统建模和数值优化等方面的工作。在IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics、Information Sciences、Knowledge-Based Systems、Expert Systems with Applications、Applied Soft Computing、动力工程学报、计量学报等期刊上发表相关论文20余篇；申请发明专利6项，现已授权3项。参与国家重点研发计划1项、国家自然科学基金面上项目1项、国家自然科学基金青年项目1项、山东省自然科学基金1项、山东省农业应用技术创新重大项目1项。担任IEEE Transactions on Evolutionary Computation、IEEE Transactions on Cybernetics、Applied Soft Computing和Swarm and Evolutionary Computation等10余个国际知名期刊和会议的特邀审稿人。
主要发表论文：
[1] Chen K, Xue B, Zhang M, Zhou F. An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Transactions on Cybernetics, 2020. https://doi.org/10.1109/TCYB.2020.3042243
[2] Chen K, Xue B, Zhang M, Zhou F. Evolutionary Multitasking for Feature Selection in High-dimensional Classification via Particle Swarm Optimisation. IEEE Transactions on Evolutionary Computation. https//doi.org/10.1109/TEVC.2021.3100056
[3] Chen K, Zhou F, Yin L, et al. A Hybrid Particle Swarm Optimizer with Sine Cosine Acceleration Coefficients. Information Sciences, 2018, 422: 218-241.
[4] Chen K, Zhou F, Liu A. Chaotic Dynamic Weight Particle Swarm Optimization for Numerical Function Optimization. Knowledge-Based Systems, 2018, 139: 23-40.
[5] Chen K, Zhou F, Wang Y, et al. An Ameliorated Particle Swarm Optimizer for Solving Numerical Optimization Problems. Applied Soft Computing, 2018, 73: 482-496.
[6] Chen K, Xue B, Zhang M, Zhou F. Novel Chaotic Grouping Particle Swarm Optimization with A Dynamic Regrouping Strategy for Solving Numerical Optimization Tasks. Knowledge-Based Systems, 2020, p. 105568.
[7] Chen K, Zhou F, Yuan X. Hybrid Particle Swarm Optimization with Spiral-Shaped Mechanism for Feature Selection. Expert Systems with Applications, 2019, 128: 140-156.
[8] Niu P, Chen K*, Ma Y, et al. Model Turbine Heat Rate by Fast Learning Network with Tuning Based on Ameliorated Krill Herd Algorithm. Knowledge-Based Systems, 2017, 118: 80-92.
[9] Chen K, Zhou F, Xue B. Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy. Australasian Joint Conference on Artificial Intelligence. Springer, Cham, 2018: 419-431.
[10] Chen K, Xue B, Zhang M, Zhou F. Hybridising Particle Swarm Optimisation with Differential Evolution for Feature Selection in Classification. IEEE Congress on Evolutionary Computation, 2020: 1-8.
[11] Liu M, Zhou F, Chen K, Zhao Y. Co-Attention Networks Based on Aspect and Context for Aspect-Level Sentiment Analysis. Knowledge-Based Systems, 2021, p. 106810.
[12] 牛培峰, 陈科, 刘阿玲, 马云鹏，赵振，李国强. 基于磷虾群算法的汽轮机组最优初压研究[J]. 动力工程学报, 2017, 37(8): 615-621
[13] 牛培峰, 陈科, 马云鹏, 赵庆冲，李国强. 基于磷虾群算法的汽轮机热耗率建模应用[J]. 动力工程学报, 2016, 36(10): 781-787.
[14] 马云鹏, 牛培峰, 陈科, 闫姗姗，李国强. 基于混沌分组教与学优化算法锅炉 NOx 模型优化研究[J]. 计量学报, 2017, 39(1): 125-129.