| A multiobjective particle swarm optimizer using ring topology for solving multimodal multiobjective problems C Yue, B Qu, J Liang IEEE Transactions on Evolutionary Computation 22 (5), 805-817, 2017 | 384 | 2017 |
| A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module K Yu, B Qu, C Yue, S Ge, X Chen, J Liang Applied energy 237, 241-257, 2019 | 347 | 2019 |
| Multimodal multi-objective optimization: A preliminary study JJ Liang, CT Yue, BY Qu 2016 IEEE congress on evolutionary computation (CEC), 2454-2461, 2016 | 225 | 2016 |
| Problem definitions and evaluation criteria for the CEC 2020 special session and competition on single objective bound constrained numerical optimization CT Yue, KV Price, PN Suganthan, JJ Liang, MZ Ali, BY Qu, NH Awad, ... Comput. Intell. Lab., Zhengzhou Univ., Zhengzhou, China, Tech. Rep 201911, 2019 | 187 | 2019 |
| Multimodal multiobjective optimization with differential evolution J Liang, W Xu, C Yue, K Yu, H Song, OD Crisalle, B Qu Swarm and evolutionary computation 44, 1028-1059, 2019 | 167 | 2019 |
| Problem definitions and evaluation criteria for the CEC 2019 special session on multimodal multiobjective optimization JJ Liang, BY Qu, DW Gong, C Yue Computational Intelligence Laboratory, Zhengzhou University, 353-370, 2019 | 133 | 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 | 129 | 2022 |
| Differential evolution using improved crowding distance for multimodal multiobjective optimization C Yue, PN Suganthan, J Liang, B Qu, K Yu, Y Zhu, L Yan Swarm and Evolutionary Computation 62, 100849, 2021 | 111 | 2021 |
| A novel scalable test problem suite for multimodal multiobjective optimization C Yue, B Qu, K Yu, J Liang, X Li Swarm and Evolutionary Computation 48, 62-71, 2019 | 111 | 2019 |
| Dynamic selection preference-assisted constrained multiobjective differential evolution K Yu, J Liang, B Qu, Y Luo, C Yue IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (5), 2954-2965, 2021 | 108 | 2021 |
| A self-organizing multi-objective particle swarm optimization algorithm for multimodal multi-objective problems J Liang, Q Guo, C Yue, B Qu, K Yu Advances in Swarm Intelligence: 9th International Conference, ICSI 2018 …, 2018 | 96 | 2018 |
| An evolutionary multitasking optimization framework for constrained multiobjective optimization problems K Qiao, K Yu, B Qu, J Liang, H Song, C Yue IEEE Transactions on Evolutionary Computation 26 (2), 263-277, 2022 | 86 | 2022 |
| A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems J Liang, K Qiao, C Yue, K Yu, B Qu, R Xu, Z Li, Y Hu Swarm and Evolutionary Computation 60, 100788, 2021 | 84 | 2021 |
| Differential evolution based on reinforcement learning with fitness ranking for solving multimodal multiobjective problems Z Li, L Shi, C Yue, Z Shang, B Qu Swarm and Evolutionary Computation 49, 234-244, 2019 | 81 | 2019 |
| Utilizing the relationship between unconstrained and constrained pareto fronts for constrained multiobjective optimization J Liang, K Qiao, K Yu, B Qu, C Yue, W Guo, L Wang IEEE transactions on cybernetics, 2022 | 78 | 2022 |
| Multimodal multiobjective optimization in feature selection CT Yue, JJ Liang, BY Qu, KJ Yu, H Song 2019 IEEE congress on evolutionary computation (CEC), 302-309, 2019 | 64 | 2019 |
| A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm Y Hu, J Wang, J Liang, K Yu, H Song, Q Guo, C Yue, Y Wang Science China information sciences 62, 1-17, 2019 | 61 | 2019 |
| Purpose-directed two-phase multiobjective differential evolution for constrained multiobjective optimization K Yu, J Liang, B Qu, C Yue Swarm and Evolutionary Computation 60, 100799, 2021 | 59 | 2021 |
| Dynamic auxiliary task-based evolutionary multitasking for constrained multi-objective optimization K Qiao, K Yu, B Qu, J Liang, H Song, C Yue, H Lin, KC Tan IEEE Transactions on Evolutionary Computation, 2022 | 50 | 2022 |
| Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization K Qiao, J Liang, K Yu, M Yuan, B Qu, C Yue Knowledge-Based Systems 235, 107653, 2022 | 48 | 2022 |
J Liang (梁静)Zhengzhou UniversityE-mail megerősítve itt: zzu.edu.cn
