| Multimodal multiobjective optimization with differential evolution J Liang, W Xu, C Yue, K Yu, H Song, OD Crisalle, B Qu Swarm and evolutionary computation 44, 1028-1059, 2019 | 192 | 2019 |
| An evolutionary multitasking optimization framework for constrained multiobjective optimization problems K Qiao, K Yu, B Qu, J Liang, H Song, C Yue IEEE Transactions on Evolutionary Computation 26 (2), 263-277, 2022 | 170 | 2022 |
| Dynamic auxiliary task-based evolutionary multitasking for constrained multiobjective optimization K Qiao, K Yu, B Qu, J Liang, H Song, C Yue, H Lin, KC Tan IEEE Transactions on Evolutionary Computation 27 (3), 642-656, 2022 | 125 | 2022 |
| Multimodal multiobjective optimization in feature selection CT Yue, JJ Liang, BY Qu, KJ Yu, H Song 2019 IEEE congress on evolutionary computation (CEC), 302-309, 2019 | 82 | 2019 |
| A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm Y Hu, J Wang, J Liang, K Yu, H Song, Q Guo, C Yue, Y Wang Science China Information Sciences 62, 1-17, 2019 | 73 | 2019 |
| Multitasking multi-swarm optimization H Song, AK Qin, PW Tsai, JJ Liang 2019 IEEE Congress on Evolutionary Computation (CEC), 1937-1944, 2019 | 59 | 2019 |
| Comparison of three different curves used in path planning problems based on particle swarm optimizer JJ Liang, H Song, BY Qu, ZF Liu Mathematical problems in engineering 2014 (1), 623156, 2014 | 24 | 2014 |
| Differential evolution with level-based learning mechanism K Qiao, J Liang, B Qu, K Yu, C Yue, H Song Complex System Modeling and Simulation 2 (1), 35-58, 2022 | 22 | 2022 |
| Multi-objective battery energy storage optimization for virtual power plant applications H Song, M Gu, C Liu, AM Amani, M Jalili, L Meegahapola, X Yu, ... Applied Energy 352, 121860, 2023 | 20 | 2023 |
| Multivariate electricity consumption prediction with extreme learning machine H Song, AK Qin, FD Salim 2016 International Joint Conference on Neural Networks (IJCNN), 2313-2320, 2016 | 20 | 2016 |
| Path planning based on dynamic multi-swarm particle swarm optimizer with crossover JJ Liang, H Song, BY Qu, XB Mao Intelligent Computing Theories and Applications: 8th International …, 2012 | 20 | 2012 |
| Multitasking recurrent neural network for photovoltaic power generation prediction H Song, N Al Khafaf, A Kamoona, SS Sajjadi, AM Amani, M Jalili, X Yu, ... Energy Reports 9, 369-376, 2023 | 18 | 2023 |
| Smart optimization in battery energy storage systems: An overview H Song, C Liu, AM Amani, M Gu, M Jalili, L Meegahapola, X Yu, ... Energy and AI, 100378, 2024 | 15 | 2024 |
| Technology balancing for reliable EV uptake in distribution grids: An Australian case study AM Amani, SS Sajjadi, N Al Khafaf, H Song, M Jalili, X Yu, ... Renewable Energy 206, 939-948, 2023 | 14 | 2023 |
| A knee point driven particle swarm optimization algorithm for sparse reconstruction C Yue, J Liang, B Qu, H Song, G Li, Y Han Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 14 | 2017 |
| Ensemble learning based on fitness Euclidean-distance ratio differential evolution for classification J Liang, Y Wei, B Qu, C Yue, H Song Natural Computing 20, 77-87, 2021 | 13 | 2021 |
| Neural network based on self-adaptive differential evolution for ultra-short-term power load forecasting W Liu, H Song, JJ Liang, B Qu, AK Qin International conference on intelligent computing, 403-412, 2014 | 13 | 2014 |
| Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling technique JJ Liang, B Zheng, FY Xu, BY Qu, H Song 2014 IEEE Congress on Evolutionary Computation (CEC), 445-450, 2014 | 13 | 2014 |
| Multi-resolution selective ensemble extreme learning machine for electricity consumption prediction H Song, AK Qin, FD Salim Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 12 | 2017 |
| Evolutionary model construction for electricity consumption prediction H Song, AK Qin, FD Salim Neural Computing and Applications, 1-18, 2019 | 11 | 2019 |
J Liang (梁静)Zhengzhou UniversityE-mailová adresa ověřena na: zzu.edu.cn
