| Robot path planning in uncertain environment using multi-objective particle swarm optimization Y Zhang, D Gong, J Zhang Neurocomputing 103, 172-185, 2013 | 456 | 2013 |
| Binary differential evolution with self-learning for multi-objective feature selection Y Zhang, D Gong, X Gao, T Tian, X Sun Information Sciences 507, 67-85, 2020 | 368 | 2020 |
| Multi-objective particle swarm optimization approach for cost-based feature selection in classification Y Zhang, D Gong, J Cheng IEEE/ACM transactions on computational biology and bioinformatics 14 (1), 64-75, 2015 | 365 | 2015 |
| A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch Y Zhang, DW Gong, Z Ding Information sciences 192, 213-227, 2012 | 338 | 2012 |
| Variable-size cooperative coevolutionary particle swarm optimization for feature selection on high-dimensional data XF Song, Y Zhang, YN Guo, XY Sun, YL Wang IEEE Transactions on Evolutionary Computation 24 (5), 882-895, 2020 | 272 | 2020 |
| Feature selection algorithm based on bare bones particle swarm optimization Y Zhang, D Gong, Y Hu, W Zhang Neurocomputing 148, 150-157, 2015 | 263 | 2015 |
| A return-cost-based binary firefly algorithm for feature selection Y Zhang, X Song, D Gong Information Sciences 418, 561-574, 2017 | 223 | 2017 |
| Environmental/economic power dispatch using a hybrid multi-objective optimization algorithm D Gong, Y Zhang, C Qi International Journal of Electrical Power & Energy Systems 32 (6), 607-614, 2010 | 218 | 2010 |
| Asynchronous accelerating multi-leader salp chains for feature selection I Aljarah, M Mafarja, AA Heidari, H Faris, Y Zhang, S Mirjalili Applied Soft Computing 71, 964-979, 2018 | 202 | 2018 |
| Multidirectional prediction approach for dynamic multiobjective optimization problems M Rong, D Gong, Y Zhang, Y Jin, W Pedrycz IEEE transactions on cybernetics 49 (9), 3362-3374, 2018 | 199 | 2018 |
| Multiobjective particle swarm optimization for feature selection with fuzzy cost Y Hu, Y Zhang, D Gong IEEE Transactions on Cybernetics 51 (2), 874-888, 2020 | 198 | 2020 |
| Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm Y Zhang, S Cheng, Y Shi, D Gong, X Zhao Expert Systems with Applications 137, 46-58, 2019 | 196 | 2019 |
| A PSO-based multi-objective multi-label feature selection method in classification Y Zhang, D Gong, X Sun, Y Guo Scientific reports 7 (1), 376, 2017 | 166 | 2017 |
| A similarity-based cooperative co-evolutionary algorithm for dynamic interval multiobjective optimization problems D Gong, B Xu, Y Zhang, Y Guo, S Yang IEEE Transactions on Evolutionary Computation 24 (1), 142-156, 2019 | 158 | 2019 |
| Many-objective evolutionary optimization based on reference points Y Liu, D Gong, X Sun, Y Zhang Applied Soft Computing 50, 344-355, 2017 | 128 | 2017 |
| Hybrid bare-bones PSO for dynamic economic dispatch with valve-point effects Y Zhang, D Gong, N Geng, X Sun Applied Soft Computing 18, 248-260, 2014 | 119 | 2014 |
| Feature selection of unreliable data using an improved multi-objective PSO algorithm Z Yong, G Dun-wei, Z Wan-qiu Neurocomputing 171, 1281-1290, 2016 | 115 | 2016 |
| Multi-objective feature selection based on artificial bee colony: An acceleration approach with variable sample size X Wang, Y Zhang, X Sun, Y Wang, C Du Applied Soft Computing 88, 106041, 2020 | 100 | 2020 |
| Multi-objective Particle Swarm Optimization for Robot Path Planning in Environment with Danger Sources. D Gong, J Zhang, Y Zhang J. Comput. 6 (8), 1554-1561, 2011 | 98 | 2011 |
| A filter-based bare-bone particle swarm optimization algorithm for unsupervised feature selection Y Zhang, HG Li, Q Wang, C Peng Applied Intelligence 49, 2889-2898, 2019 | 92 | 2019 |
Xiaoyan SunMicrosoft Research Asia在 microsoft.com 的电子邮件经过验证
