| 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 | 542 | 2017 |
| Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation X Chen, B Xu, C Mei, Y Ding, K Li Applied Energy 212, 1578-1588, 2018 | 426 | 2018 |
| 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 | 423 | 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 | 421 | 2019 |
| 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 | 259 | 2017 |
| Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters X Chen, K Yu Solar Energy 180, 192-206, 2019 | 257 | 2019 |
| Biogeography-based learning particle swarm optimization X Chen, H Tianfield, C Mei, W Du, G Liu Soft Computing 21, 7519-7541, 2017 | 253 | 2017 |
| A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction K Li, X Xie, W Xue, X Dai, X Chen, X Yang Energy and Buildings 174, 323-334, 2018 | 132 | 2018 |
| Multi-objective differential evolution with ranking-based mutation operator and its application in chemical process optimization X Chen, W Du, F Qian Chemometrics and Intelligent Laboratory Systems 136, 85-96, 2014 | 111 | 2014 |
| Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem X Chen, K Li, B Xu, Z Yang Knowledge-Based Systems 208, 106463, 2020 | 92 | 2020 |
| Self-adaptive differential artificial bee colony algorithm for global optimization problems X Chen, H Tianfield, K Li Swarm and Evolutionary Computation 45, 70-91, 2019 | 84 | 2019 |
| Biogeography-based optimization with covariance matrix based migration X Chen, H Tianfield, W Du, G Liu Applied Soft Computing 45, 71-85, 2016 | 76 | 2016 |
| Solving static and dynamic multi-area economic dispatch problems using an improved competitive swarm optimization algorithm X Chen, G Tang Energy 238, 122035, 2022 | 74 | 2022 |
| 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 | 71 | 2018 |
| Perturbed stochastic fractal search for solar PV parameter estimation X Chen, H Yue, K Yu Energy 189, 116247, 2019 | 70 | 2019 |
| Dynamic optimization of industrial processes with nonuniform discretization-based control vector parameterization X Chen, W Du, H Tianfield, R Qi, W He, F Qian IEEE Transactions on Automation Science and Engineering 11 (4), 1289-1299, 2013 | 69 | 2013 |
| Bee-foraging learning particle swarm optimization X Chen, H Tianfield, W Du Applied Soft Computing 102, 107134, 2021 | 66 | 2021 |
| Building’s hourly electrical load prediction based on data clustering and ensemble learning strategy K Li, J Zhang, X Chen, W Xue Energy and Buildings 261, 111943, 2022 | 50 | 2022 |
| Differential evolution with adaptive trial vector generation strategy and cluster-replacement-based feasibility rule for constrained optimization B Xu, X Chen, L Tao Information Sciences 435, 240-262, 2018 | 49 | 2018 |
| Teaching‐learning‐based optimization with learning enthusiasm mechanism and its application in chemical engineering X Chen, B Xu, K Yu, W Du Journal of Applied Mathematics 2018 (1), 1806947, 2018 | 49 | 2018 |
Kunjie YuZhengzhou UniversityVerified email at zzu.edu.cn
