| A hybrid particle swarm optimization algorithm using adaptive learning strategy F Wang, H Zhang, K Li, Z Lin, J Yang, XL Shen Information Sciences 436, 162-177, 2018 | 276 | 2018 |
| A particle swarm optimization algorithm for mixed-variable optimization problems F Wang, H Zhang, A Zhou Swarm and Evolutionary Computation 60, 100808, 2021 | 239 | 2021 |
| Empirical analysis: stock market prediction via extreme learning machine X Li, H Xie, R Wang, Y Cai, J Cao, F Wang, H Min, X Deng Neural Computing and Applications 27, 67-78, 2016 | 180 | 2016 |
| Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest XL Shen, YJ Li, Y Sun, Z Chen, F Wang Information & Management 56 (2), 294-305, 2019 | 148 | 2019 |
| A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization F Wang, X Wang, S Sun Information Sciences 602, 298-312, 2022 | 109 | 2022 |
| An estimation of distribution algorithm for mixed-variable newsvendor problems F Wang, Y Li, A Zhou, K Tang IEEE Transactions on Evolutionary Computation 24 (3), 479-493, 2019 | 108 | 2019 |
| An ensemble learning based prediction strategy for dynamic multi-objective optimization F Wang, Y Li, F Liao, H Yan Applied Soft Computing 96, 106592, 2020 | 105 | 2020 |
| An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization F Wang, Y Li, H Zhang, T Hu, XL Shen Swarm and Evolutionary Computation 49, 220-233, 2019 | 81 | 2019 |
| Improving stock market prediction by integrating both market news and stock prices X Li, C Wang, J Dong, F Wang, X Deng, S Zhu Database and Expert Systems Applications: 22nd International Conference …, 2011 | 71 | 2011 |
| Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction F Wang, Y Zhang, Q Rao, K Li, H Zhang Soft computing 21 (12), 3193-3205, 2017 | 66 | 2017 |
| A new prediction strategy for dynamic multi-objective optimization using Gaussian Mixture Model F Wang, F Liao, Y Li, H Wang Information Sciences 580, 331-351, 2021 | 53 | 2021 |
| An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows F Wang, F Liao, Y Li, X Yan, X Chen Computers & Industrial Engineering 154, 107131, 2021 | 50 | 2021 |
| External archive matching strategy for MOEA/D F Wang, H Zhang, Y Li, Y Zhao, Q Rao Soft Computing 22 (23), 7833–7846, 2018 | 41 | 2018 |
| Artificial bee colony based on adaptive search strategy and random grouping mechanism T Zeng, W Wang, H Wang, Z Cui, F Wang, Y Wang, J Zhao Expert Systems with Applications 192, 116332, 2022 | 36 | 2022 |
| A multiobjective box-covering algorithm for fractal modularity on complex networks H Wu, L Kuang, F Wang, Q Rao, M Gong, Y Li Applied Soft Computing 61, 294-313, 2017 | 35 | 2017 |
| Stock market volatility prediction: a service-oriented multi-kernel learning approach F Wang, L Liu, C Dou 2012 IEEE ninth international conference on services computing, 49-56, 2012 | 32 | 2012 |
| Knowledge withholding in online knowledge spaces: Social deviance behavior and secondary control perspective XL Shen, YJ Li, Y Sun, J Chen, F Wang Journal of the Association for Information Science and Technology 70 (4 …, 2019 | 31 | 2019 |
| Software defect prediction based on collaborative representation classification XY Jing, ZW Zhang, S Ying, F Wang, YP Zhu Companion Proceedings of the 36th International Conference on Software …, 2014 | 30 | 2014 |
| Automated analog circuit design using two-layer genetic programming F Wang, Y Li, L Li, K Li Applied mathematics and computation 185 (2), 1087-1097, 2007 | 28 | 2007 |
| Opinion spreading and consensus formation on square lattice JG Liu, ZX Wu, F Wang International journal of modern physics c 18 (07), 1087-1094, 2007 | 27 | 2007 |
Xiaotie DengChair Professor of Computer Science, Peking University, Beijing, China在 pku.edu.cn 的电子邮件经过验证
