| Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization S Li, W Gong, X Yan, C Hu, D Bai, L Wang, L Gao Energy Conversion and Management 186, 293-305, 2019 | 292 | 2019 |
| An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models S Li, Q Gu, W Gong, B Ning Energy Conversion and Management 205, 112443, 2020 | 258 | 2020 |
| Parameter estimation of photovoltaic models with memetic adaptive differential evolution S Li, W Gong, X Yan, C Hu, D Bai, L Wang Solar Energy 190, 465-474, 2019 | 178 | 2019 |
| Optimal power flow by means of improved adaptive differential evolution S Li, W Gong, L Wang, X Yan, C Hu Energy 198, 117314, 2020 | 159 | 2020 |
| A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models S Li, W Gong, Q Gu Renewable and Sustainable Energy Reviews 141, 110828, 2021 | 151 | 2021 |
| A hybrid adaptive teaching–learning-based optimization and differential evolution for parameter identification of photovoltaic models S Li, W Gong, L Wang, X Yan, C Hu Energy Conversion and Management 225, 113474, 2020 | 115 | 2020 |
| Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models Z Hu, W Gong, S Li Energy Reports 7, 916-928, 2021 | 109 | 2021 |
| Multi-objective optimal power flow with stochastic wind and solar power S Li, W Gong, L Wang, Q Gu Applied Soft Computing 114, 108045, 2022 | 96 | 2022 |
| Adaptive constraint differential evolution for optimal power flow S Li, W Gong, C Hu, X Yan, L Wang, Q Gu Energy 235, 121362, 2021 | 77 | 2021 |
| Parameters extraction of photovoltaic models using triple-phase teaching-learning-based optimization Z Liao, Z Chen, S Li IEEE Access 8, 69937-69952, 2020 | 63 | 2020 |
| A simple two-stage evolutionary algorithm for constrained multi-objective optimization F Ming, W Gong, H Zhen, S Li, L Wang, Z Liao Knowledge-Based Systems 228, 107263, 2021 | 62 | 2021 |
| L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance Q Gu, S Li, W Gong, B Ning, C Hu, Z Liao Applied Soft Computing 143, 110386, 2023 | 59 | 2023 |
| Solving nonlinear equation systems based on evolutionary multitasking with neighborhood-based speciation differential evolution Q Gu, S Li, Z Liao Expert Systems with Applications 238, 122025, 2024 | 46 | 2024 |
| Multitasking optimization via an adaptive solver multitasking evolutionary framework Y Li, W Gong, S Li Information Sciences 630, 688-712, 2023 | 39 | 2023 |
| Adaptive teaching–learning-based optimization with experience learning to identify photovoltaic cell parameters X Mi, Z Liao, S Li, Q Gu Energy Reports 7, 4114-4125, 2021 | 36 | 2021 |
| Solving nonlinear equations systems with an enhanced reinforcement learning based differential evolution Z Liao, S Li Complex System Modeling and Simulation 2 (1), 78-95, 2022 | 32 | 2022 |
| An archive-based two-stage evolutionary algorithm for constrained multi-objective optimization problems Q Bao, M Wang, G Dai, X Chen, Z Song, S Li Swarm and Evolutionary Computation 75, 101161, 2022 | 23 | 2022 |
| An improved differential evolution to extract photovoltaic cell parameters Z Liao, Q Gu, S Li, Z Hu, BIN Ning IEEE Access 8, 177838-177850, 2020 | 20 | 2020 |
| Evolutionary multitasking via reinforcement learning S Li, W Gong, L Wang, Q Gu IEEE Transactions on Emerging Topics in Computational Intelligence 8 (1 …, 2023 | 19 | 2023 |
| A dual-population based bidirectional coevolution algorithm for constrained multi-objective optimization problems Q Bao, M Wang, G Dai, X Chen, Z Song, S Li Expert Systems with Applications 215, 119258, 2023 | 18 | 2023 |