| Differential evolution with ranking-based mutation operators W Gong, Z Cai IEEE Transactions on Cybernetics 43 (6), 2066-2081, 2013 | 436 | 2013 |
| DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization W Gong, Z Cai, CX Ling Soft Computing 15, 645-665, 2010 | 418 | 2010 |
| Parameter extraction of solar cell models using repaired adaptive differential evolution W Gong, Z Cai Solar Energy 94, 209-220, 2013 | 385 | 2013 |
| 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 |
| Enhanced differential evolution with adaptive strategies for numerical optimization W Gong, Z Cai, CX Ling, H Li IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 265 | 2010 |
| 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 | 259 | 2020 |
| A real-coded biogeography-based optimization with mutation W Gong, Z Cai, CX Ling, H Li Applied Mathematics and Computation 216 (9), 2749-2758, 2010 | 187 | 2010 |
| Adaptive ranking mutation operator based differential evolution for constrained optimization W Gong, Z Cai, D Liang IEEE transactions on cybernetics 45 (4), 716-727, 2014 | 184 | 2014 |
| Adaptive strategy selection in differential evolution for numerical optimization: an empirical study W Gong, A Fialho, Z Cai, H Li Information Sciences 181 (24), 5364-5386, 2011 | 181 | 2011 |
| 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 | 180 | 2019 |
| A clustering-based differential evolution for global optimization Z Cai, W Gong, CX Ling, H Zhang Applied Soft Computing 11 (1), 1363-1379, 2011 | 166 | 2011 |
| 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 |
| Enhancing the performance of differential evolution using orthogonal design method W Gong, Z Cai, L Jiang Applied Mathematics and Computation 206 (1), 56-69, 2008 | 154 | 2008 |
| 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 | 153 | 2021 |
| A multioperator search strategy based on cheap surrogate models for evolutionary optimization W Gong, A Zhou, Z Cai IEEE transactions on Evolutionary Computation 19 (5), 746-758, 2015 | 143 | 2015 |
| A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling R Li, W Gong, C Lu Expert Systems with Applications 203, 117380, 2022 | 136 | 2022 |
| Finding multiple roots of nonlinear equation systems via a repulsion-based adaptive differential evolution W Gong, Y Wang, Z Cai, L Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (4), 1499-1513, 2018 | 127 | 2018 |
| A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time R Li, W Gong, C Lu, L Wang IEEE Transactions on Evolutionary Computation 27 (3), 610-620, 2022 | 126 | 2022 |
| An efficient multiobjective differential evolution algorithm for engineering design W Gong, Z Cai, L Zhu Structural and Multidisciplinary Optimization 38, 137-157, 2009 | 123 | 2009 |
| Repairing the crossover rate in adaptive differential evolution W Gong, Z Cai, Y Wang Applied Soft Computing 15, 149-168, 2014 | 118 | 2014 |
