| A hybrid particle swarm optimizer with sine cosine acceleration coefficients K Chen, F Zhou, L Yin, S Wang, Y Wang, F Wan Information Sciences 422, 218-241, 2018 | 180 | 2018 |
| Chaotic dynamic weight particle swarm optimization for numerical function optimization K Chen, F Zhou, A Liu Knowledge-Based Systems 139, 23-40, 2018 | 160 | 2018 |
| Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection K Chen, FY Zhou, XF Yuan Expert Systems with Applications 128, 140-156, 2019 | 154 | 2019 |
| A survey on evolutionary constrained multiobjective optimization J Liang, X Ban, K Yu, B Qu, K Qiao, C Yue, K Chen, KC Tan IEEE Transactions on Evolutionary Computation 27 (2), 201-221, 2022 | 132 | 2022 |
| An evolutionary multitasking-based feature selection method for high-dimensional classification K Chen, B Xue, M Zhang, F Zhou IEEE Transactions on Cybernetics 52 (7), 7172-7186, 2020 | 124 | 2020 |
| Evolutionary multitasking for feature selection in high-dimensional classification via particle swarm optimization K Chen, B Xue, M Zhang, F Zhou IEEE Transactions on Evolutionary Computation 26 (3), 446-460, 2021 | 83 | 2021 |
| An ameliorated particle swarm optimizer for solving numerical optimization problems K Chen, F Zhou, Y Wang, L Yin Applied Soft Computing 73, 482-496, 2018 | 65 | 2018 |
| Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem Z Miao, X Yuan, F Zhou, X Qiu, Y Song, K Chen Applied Soft Computing 96, 106602, 2020 | 58 | 2020 |
| Correlation-guided updating strategy for feature selection in classification with surrogate-assisted particle swarm optimization K Chen, B Xue, M Zhang, F Zhou IEEE Transactions on Evolutionary Computation 26 (5), 1015-1029, 2021 | 46 | 2021 |
| Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems C Liu, P Niu, G Li, Y Ma, W Zhang, K Chen Journal of Intelligent Manufacturing 29, 1133-1153, 2018 | 44 | 2018 |
| Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm P Niu, K Chen, Y Ma, X Li, A Liu, G Li Knowledge-Based Systems 118, 80-92, 2017 | 41 | 2017 |
| Co-attention networks based on aspect and context for aspect-level sentiment analysis MZ Liu, FY Zhou, K Chen, Y Zhao Knowledge-Based Systems 217, 106810, 2021 | 40 | 2021 |
| A correlation-guided layered prediction approach for evolutionary dynamic multiobjective optimization K Yu, D Zhang, J Liang, K Chen, C Yue, K Qiao, L Wang IEEE transactions on evolutionary computation, 2022 | 37 | 2022 |
| Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks K Chen, B Xue, M Zhang, F Zhou Knowledge-Based Systems 194, 105568, 2020 | 29 | 2020 |
| Adaptive local landscape feature vector for problem classification and algorithm selection Y Li, J Liang, K Yu, K Chen, Y Guo, C Yue, L Zhang Applied Soft Computing 131, 109751, 2022 | 10 | 2022 |
| Particle swarm optimization for feature selection with adaptive mechanism and new updating strategy K Chen, F Zhou, B Xue Australasian Joint Conference on Artificial Intelligence, 419-431, 2018 | 9 | 2018 |
| 基于量子自适应鸟群算法的锅炉 NOx 排放特性研究 牛培峰， 王丘亚， 马云鹏， 赵庆冲， 陈科， 赵振 计量学报 38 (6), 770-775, 2017 | 6 | 2017 |
| 基于电势场法的移动机器人全局路径规划算法 万方， 周风余， 尹磊， 王玉刚， 陈科， 沈冬冬 机器人 41 (6), 742-750, 2019 | 5 | 2019 |
| Study on NOx emission from boiler based on quantum adaptation bird swarm algorithm PF Niu, QY Wang, YP Ma, QC Zhao, K Chen, Z Zhao Acta Metrologica Sinica 38 (6), 770-775, 2017 | 5 | 2017 |
| An improved Kalman particle swarm optimization for modeling and optimizing of boiler combustion characteristics J Liang, H Guo, K Chen, K Yu, C Yue, X Li Robotica 41 (4), 1087-1097, 2023 | 4 | 2023 |
Caitong Yue (岳彩通)Zhengzhou UniversityVerified email at ntu.edu.sg
