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Kunjie Yu
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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
4592017
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
3602016
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
3422019
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
3072018
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
2362017
Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters
X Chen, K Yu
Solar Energy 180, 192-206, 2019
2262019
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
1742020
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
1672019
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
1452016
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
1212022
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
1132020
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
1102019
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
1072021
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
1042021
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
982020
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
952018
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
892020
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
822021
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
802022
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
712022
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