| Incorporating objective function information into the feasibility rule for constrained evolutionary optimization Y Wang, BC Wang, HX Li, GG Yen IEEE Transactions on Cybernetics 46 (12), 2938-2952, 2015 | 223 | 2015 |
| Composite differential evolution for constrained evolutionary optimization BC Wang, HX Li, JP Li, Y Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018 | 202 | 2018 |
| Handling constrained multiobjective optimization problems via bidirectional coevolution ZZ Liu, BC Wang, K Tang IEEE Transactions on Cybernetics, 2021 | 155 | 2021 |
| Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization BC Wang, HX Li, Q Zhang, Y Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018 | 128 | 2018 |
| Indicator-based constrained multiobjective evolutionary algorithms ZZ Liu, Y Wang, BC Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (9), 5414-5426, 2019 | 107 | 2019 |
| Utilizing the correlation between constraints and objective function for constrained evolutionary optimization Y Wang, JP Li, X Xue, BC Wang IEEE Transactions on Evolutionary Computation 24 (1), 29-43, 2019 | 101 | 2019 |
| Brain stroke lesion segmentation using consistent perception generative adversarial network S Wang, Z Chen, S You, B Wang, Y Shen, B Lei Neural Computing and Applications 34 (11), 8657-8669, 2022 | 70 | 2022 |
| An improved teaching-learning-based optimization for constrained evolutionary optimization BC Wang, HX Li, Y Feng Information Sciences 456, 131-144, 2018 | 49 | 2018 |
| A sliding window based dynamic spatiotemporal modeling for distributed parameter systems with time-dependent boundary conditions BC Wang, HX Li IEEE Transactions on Industrial Informatics 15 (4), 2044-2053, 2018 | 44 | 2018 |
| Spatial correlation-based incremental learning for spatiotemporal modeling of battery thermal process BC Wang, HX Li, HD Yang IEEE Transactions on Industrial Electronics 67 (4), 2885-2893, 2019 | 41 | 2019 |
| An adaptive fuzzy penalty method for constrained evolutionary optimization BC Wang, HX Li, Y Feng, WJ Shen Information Sciences 571, 358-374, 2021 | 38 | 2021 |
| A surrogate-assisted teaching-learning-based optimization for parameter identification of the battery model Y Zhou, BC Wang, HX Li, HD Yang, Z Liu IEEE Transactions on Industrial Informatics 17 (9), 5909-5918, 2020 | 35 | 2020 |
| Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization BC Wang, ZY Shui, Y Feng, Z Ma Swarm and Evolutionary Computation, 101104, 2022 | 31 | 2022 |
| Combining Reduced-Order Model With Data-Driven Model for Parameter Estimation of Lithium-Ion Battery ZY Shui, XH Li, Y Feng, BC Wang, Y Wang IEEE Transactions on Industrial Electronics 70 (2), 1521-1531, 2022 | 30 | 2022 |
| Placement optimization for multi-IRS-aided wireless communications: An adaptive differential evolution algorithm PQ Huang, Y Zhou, K Wang, BC Wang IEEE Wireless Communications Letters 11 (5), 942-946, 2022 | 29 | 2022 |
| 3-D brain reconstruction by hierarchical shape-perception network from a single incomplete image B Hu, C Zhan, B Tang, B Wang, B Lei, SQ Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 23 | 2023 |
| Spatial decomposition-based fault detection framework for parabolic-distributed parameter processes Y Feng, Y Wang, BC Wang, HX Li IEEE Transactions on Cybernetics 52 (8), 7319-7327, 2021 | 23 | 2021 |
| Individual-dependent feasibility rule for constrained differential evolution BC Wang, Y Feng, HX Li Information Sciences 506, 174-195, 2020 | 21 | 2020 |
| Human-in-the-loop reinforcement learning in continuous-action space B Luo, Z Wu, F Zhou, BC Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 17 | 2023 |
| Physics-dominated neural network for spatiotemporal modeling of battery thermal process HP Deng, YB He, BC Wang, HX Li IEEE Transactions on Industrial Informatics 20 (1), 452-460, 2023 | 13 | 2023 |
HX LiCity University of Hong KongDirección de correo verificada de cityu.edu.hk