| Parameters identification of photovoltaic models using an improved JAYA optimization algorithm K Yu, JJ Liang, BY Qu, X Chen, H Wang Energy Conversion and Management 150, 742-753, 2017 | 393 | 2017 |
| Parameters identification of solar cell models using generalized oppositional teaching learning based optimization X Chen, K Yu, W Du, W Zhao, G Liu Energy 99, 170-180, 2016 | 308 | 2016 |
| 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 | 283 | 2019 |
| Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models K Yu, JJ Liang, BY Qu, Z Cheng, H Wang Applied energy 226, 408-422, 2018 | 247 | 2018 |
| Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization K Yu, X Chen, X Wang, Z Wang Energy Conversion and Management 145, 233-246, 2017 | 213 | 2017 |
| Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters X Chen, K Yu Solar Energy 180, 192-206, 2019 | 188 | 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 | 140 | 2019 |
| An improved teaching-learning-based optimization algorithm for numerical and engineering optimization problems K Yu, X Wang, Z Wang Journal of Intelligent Manufacturing 27, 831-843, 2016 | 136 | 2016 |
| Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models J Liang, S Ge, B Qu, K Yu, F Liu, H Yang, P Wei, Z Li Energy Conversion and Management 203, 112138, 2020 | 135 | 2020 |
| 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 | 86 | 2019 |
| 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 | 85 | 2018 |
| 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 | 79 | 2020 |
| A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems B Qu, C Li, J Liang, L Yan, K Yu, Y Zhu Applied Soft Computing 86, 105886, 2020 | 75 | 2020 |
| 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 | 74 | 2020 |
| Constrained optimization based on improved teaching–learning-based optimization algorithm K Yu, X Wang, Z Wang Information Sciences 352, 61-78, 2016 | 63 | 2016 |
| 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 | 59 | 2021 |
| Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization X Chen, C Mei, B Xu, K Yu, X Huang Knowledge-Based Systems 145, 250-263, 2018 | 57 | 2018 |
| 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 | 56 | 2021 |
| Perturbed stochastic fractal search for solar PV parameter estimation X Chen, H Yue, K Yu Energy 189, 116247, 2019 | 50 | 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 | 50 | 2019 |
B. Y. QuZhongyuan University of TechnologyVerified email at zut.edu.cn
