| Evolutionary multi-task optimization for parameters extraction of photovoltaic models J Liang, K Qiao, M Yuan, K Yu, B Qu, S Ge, Y Li, G Chen Energy Conversion and Management 207, 112509, 2020 | 98 | 2020 |
| Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning Y Hu, B Qu, J Wang, J Liang, Y Wang, K Yu, Y Li, K Qiao Applied Energy 285, 116415, 2021 | 39 | 2021 |
| A landscape-aware particle swarm optimization for parameter identification of photovoltaic models Y Li, K Yu, J Liang, C Yue, K Qiao Applied Soft Computing 131, 109793, 2022 | 24 | 2022 |
| Adaptive local landscape feature vector for problem classification and algorithm selection Y Li, J Liang, K Yu, K Chen, Y Guo, C Yue, L Zhang Applied Soft Computing 131, 109751, 2022 | 11 | 2022 |
| Mutation strategy selection based on fitness landscape analysis: A preliminary study J Liang, Y Li, B Qu, K Yu, Y Hu Bio-inspired Computing: Theories and Applications: 14th International …, 2020 | 8 | 2020 |
| A novel differential evolution algorithm based on local fitness landscape information for optimization problems J Liang, K Li, K Yu, C Yue, Y Li, H Song IEICE Transactions on Information and Systems 106 (5), 601-616, 2023 | 5 | 2023 |
| Keenness for characterizing continuous optimization problems and predicting differential evolution algorithm performance Y Li, J Liang, K Yu, C Yue, Y Zhang Complex & Intelligent Systems 9 (5), 5251-5266, 2023 | 3 | 2023 |
| 基于适应度地形分析的进化计算研究综述 李亚欣， 梁静， 岳彩通， 李珂 陕西师范大学学报 (自然科学版) 49 (5), 39-53, 2021 | 3 | 2021 |
| Collaborative resource allocation-based differential evolution for solving numerical optimization problems Y Li, J Liang, C Yue, K Yu, X Ban, P Chen Information Sciences 660, 120104, 2024 | 1 | 2024 |
| An incremental random walk algorithm for sampling continuous fitness landscapes Y Li, J Liang, C Yue, K Yu, H Guo Neurocomputing 553, 126549, 2023 | | 2023 |
J Liang (梁静)Zhengzhou UniversityVerified email at zzu.edu.cn
