| State transition algorithm X Zhou, C Yang, W Gui Journal of Industrial and Management Optimization 8 (4), 1039-1056, 2012 | 197 | 2012 |
| A hybrid feature selection method based on binary state transition algorithm and ReliefF Z Huang, C Yang, X Zhou, T Huang IEEE Journal of Biomedical and Health Informatics 23 (5), 1888--1898, 2019 | 107 | 2019 |
| Nonlinear system identification and control using state transition algorithm X Zhou, C Yang, W Gui Applied Mathematics and Computation 226, 169-179, 2014 | 99 | 2014 |
| Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm Y Dong, H Zhang, C Wang, X Zhou Neurocomputing 462, 169-184, 2021 | 97 | 2021 |
| Discrete state transition algorithm for unconstrained integer optimization problems X Zhou, DY Gao, C Yang, W Gui Neurocomputing 173, 864-874, 2016 | 90 | 2016 |
| A new multi-threshold image segmentation approach using state transition algorithm J Han, C Yang, X Zhou, W Gui Applied Mathematical Modelling 44, 588–601, 2017 | 83 | 2017 |
| A novel hybrid model based on Bernstein polynomial with mixture of Gaussians for wind power forecasting Y Dong, H Zhang, C Wang, X Zhou Applied Energy 286, 116545, 2021 | 79 | 2021 |
| A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties Y Dong, H Zhang, P Ma, C Wang, X Zhou Energy 274, 127267, 2023 | 74 | 2023 |
| A statistical study on parameter selection of operators in continuous state transition algorithm X Zhou, C Yang, W Gui IEEE Transactions on Cybernetics 49 (10), 3722 - 3730, 2019 | 73 | 2019 |
| Fractional-order PID controller tuning using continuous state transition algorithm F Zhang, C Yang, X Zhou, W Gui Neural Computing and Applications 29, 795-804, 2018 | 72 | 2018 |
| Event based guaranteed cost consensus for distributed multi-agent systems X Zhou, P Shi, CC Lim, C Yang, W Gui Journal of the Franklin Institute 352 (9), 3546-3563, 2015 | 70 | 2015 |
| A novel modularity-based discrete state transition algorithm for community detection in networks X Zhou, K Yang, Y Xie, C Yang, T Huang Neurocomputing 334, 89-99, 2019 | 69 | 2019 |
| Review on interpretable machine learning in smart grid C Xu, Z Liao, C Li, X Zhou, R Xie Energies 15 (12), 4427, 2022 | 68 | 2022 |
| Optimal design of water distribution networks by a discrete state transition algorithm X Zhou, DY Gao, AR Simpson Engineering Optimization 48 (4), 603-628, 2016 | 66 | 2016 |
| Set-point tracking and multi-objective optimization-based PID control for the goethite process X Zhou, J Zhou, C Yang, W Gui IEEE Access 6, 36683 - 36698, 2018 | 57 | 2018 |
| A dynamic state transition algorithm with application to sensor network localization X Zhou, P Shi, CC Lim, C Yang, W Gui Neurocomputing 273, 237-250, 2018 | 55 | 2018 |
| Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy J Han, C Yang, X Zhou, W Gui Hydrometallurgy 173, 134-148, 2017 | 55 | 2017 |
| Initial version of state transition algorithm X Zhou, C Yang, W Gui 2011 Second International Conference on Digital Manufacturing & Automation …, 2011 | 54 | 2011 |
| A two-stage state transition algorithm for constrained engineering optimization problems J Han, C Yang, X Zhou, W Gui International Journal of Control, Automation and Systems 16 (2), 522-534, 2018 | 48 | 2018 |
| Finite-time H∞ control for linear systems with semi-Markovian switching X Liu, X Yu, X Zhou, H Xi Nonlinear Dynamics 85 (4), 2297-2308, 2016 | 44 | 2016 |
Chunhua YangCentral South UniversityPatvirtintas el. paštas csu.edu.cn