| 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 | 364 | 2016 |
| 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 | 357 | 2018 |
| Biogeography-based learning particle swarm optimization X Chen, H Tianfield, C Mei, W Du, G Liu Soft Computing 21, 7519-7541, 2017 | 224 | 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 | 120 | 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 | 103 | 2014 |
| 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 | 81 | 2019 |
| 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 | 77 | 2020 |
| Biogeography-based optimization with covariance matrix based migration X Chen, H Tianfield, W Du, G Liu Applied Soft Computing 45, 71-85, 2016 | 73 | 2016 |
| 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 | 63 | 2018 |
| 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 | 61 | 2013 |
| Perturbed stochastic fractal search for solar PV parameter estimation X Chen, H Yue, K Yu Energy 189, 116247, 2019 | 59 | 2019 |
| Bee-foraging learning particle swarm optimization X Chen, H Tianfield, W Du Applied Soft Computing 102, 107134, 2021 | 49 | 2021 |
| Solving static and dynamic multi-area economic dispatch problems using an improved competitive swarm optimization algorithm X Chen, G Tang Energy 238, 122035, 2022 | 48 | 2022 |
| 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, 2018 | 46 | 2018 |
| 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 | 46 | 2018 |
| An improved particle swarm optimization with biogeography-based learning strategy for economic dispatch problems X Chen, B Xu, W Du Complexity 2018, 2018 | 44 | 2018 |
| Novel dual-population adaptive differential evolution algorithm for large-scale multi-fuel economic dispatch with valve-point effects X Chen Energy 203, 117874, 2020 | 42 | 2020 |
| 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 | 27 | 2022 |
| An enhanced exploratory whale optimization algorithm for dynamic economic dispatch W Yang, Z Peng, Z Yang, Y Guo, X Chen Energy Reports 7, 7015-7029, 2021 | 27 | 2021 |
| Hybrid gradient particle swarm optimization for dynamic optimization problems of chemical processes X Chen, W Du, R Qi, F Qian, H Tianfield Asia‐Pacific Journal of Chemical Engineering 8 (5), 708-720, 2013 | 27 | 2013 |
Wenli DuEast China University of Science and TechonologyVerified email at ecust.edu.cn
