| 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 | 243 | 2022 |
| 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 | 158 | 2022 |
| Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution J Liang, K Qiao, K Yu, S Ge, B Qu, R Xu, K Li Solar Energy 207, 336-346, 2020 | 147 | 2020 |
| 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 53 (6), 3873-3886, 2022 | 126 | 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 | 126 | 2021 |
| Dynamic auxiliary task-based evolutionary multitasking for constrained multiobjective optimization K Qiao, K Yu, B Qu, J Liang, H Song, C Yue, H Lin, KC Tan IEEE Transactions on Evolutionary Computation 27 (3), 642-656, 2022 | 115 | 2022 |
| Evolutionary multi-task optimization for parameters extraction of photovoltaic models J Liang, K Qiao, M Yuan, K Yu, B Qu, S Ge, Y Li, G Chen Energy Conversion and Management 207, 112509, 2020 | 112 | 2020 |
| 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 | 72 | 2022 |
| A self-adaptive evolutionary multi-task based constrained multi-objective evolutionary algorithm K Qiao, J Liang, K Yu, M Wang, B Qu, C Yue, Y Guo IEEE Transactions on Emerging Topics in Computational Intelligence 7 (4 …, 2023 | 59 | 2023 |
| 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 27 (5), 1398-1412, 2022 | 59 | 2022 |
| Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning Y Hu, B Qu, J Wang, J Liang, Y Wang, K Yu, Y Li, K Qiao Applied Energy 285, 116415, 2021 | 49 | 2021 |
| Multiobjective differential evolution with speciation for constrained multimodal multiobjective optimization J Liang, H Lin, C Yue, K Yu, Y Guo, K Qiao IEEE Transactions on Evolutionary Computation 27 (4), 1115-1129, 2022 | 40 | 2022 |
| Differential evolution with rankings-based fitness function for constrained optimization problems J Liang, X Ban, K Yu, B Qu, K Qiao Applied Soft Computing 113, 108016, 2021 | 37 | 2021 |
| Evolutionary multitasking with global and local auxiliary tasks for constrained multi-objective optimization K Qiao, J Liang, Z Liu, K Yu, C Yue, B Qu IEEE/CAA Journal of Automatica Sinica 10 (10), 1951-1964, 2023 | 36 | 2023 |
| Evolutionary constrained multiobjective optimization: Scalable high-dimensional constraint benchmarks and algorithm K Qiao, J Liang, K Yu, C Yue, H Lin, D Zhang, B Qu IEEE Transactions on Evolutionary Computation, 2023 | 36 | 2023 |
| A landscape-aware particle swarm optimization for parameter identification of photovoltaic models Y Li, K Yu, J Liang, C Yue, K Qiao Applied Soft Computing 131, 109793, 2022 | 35 | 2022 |
| Feature extraction for recommendation of constrained multiobjective evolutionary algorithms K Qiao, K Yu, B Qu, J Liang, C Yue, X Ban IEEE Transactions on Evolutionary Computation 27 (4), 949-963, 2022 | 23 | 2022 |
| Differential evolution with level-based learning mechanism K Qiao, J Liang, B Qu, K Yu, C Yue, H Song Complex System Modeling and Simulation 2 (1), 35-58, 2022 | 23 | 2022 |
| Benchmark problems for large-scale constrained multi-objective optimization with baseline results K Qiao, J Liang, K Yu, W Guo, C Yue, B Qu, PN Suganthan Swarm and Evolutionary Computation 86, 101504, 2024 | 22 | 2024 |
| Dynamic feature selection algorithm based on Q-learning mechanism R Xu, M Li, Z Yang, L Yang, K Qiao, Z Shang Applied Intelligence, 1-12, 2021 | 22 | 2021 |
J Liang (梁静)Zhengzhou UniversityE-mailová adresa ověřena na: zzu.edu.cn