| Adaptive particle swarm optimization ZH Zhan, J Zhang, Y Li, HSH Chung IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 2416 | 2009 |
| Orthogonal learning particle swarm optimization ZH Zhan, J Zhang, O Liu Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 907 | 2009 |
| Particle swarm optimization with an aging leader and challengers WN Chen, J Zhang, Y Lin, N Chen, ZH Zhan, HSH Chung, Y Li, YH Shi IEEE transactions on evolutionary computation 17 (2), 241-258, 2012 | 663 | 2012 |
| Cloud computing resource scheduling and a survey of its evolutionary approaches ZH Zhan, XF Liu, YJ Gong, J Zhang, HSH Chung, Y Li ACM Computing Surveys (CSUR) 47 (4), 1-33, 2015 | 632 | 2015 |
| Genetic learning particle swarm optimization YJ Gong, JJ Li, Y Zhou, Y Li, HSH Chung, YH Shi, J Zhang IEEE transactions on cybernetics 46 (10), 2277-2290, 2015 | 594 | 2015 |
| A novel set-based particle swarm optimization method for discrete optimization problems WN Chen, J Zhang, HSH Chung, WL Zhong, WG Wu, YH Shi Evolutionary Computation, IEEE Transactions on 14 (2), 278-300, 2010 | 517 | 2010 |
| An ant colony optimization approach to a grid workflow scheduling problem with various QoS requirements WN Chen, J Zhang Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2009 | 464 | 2009 |
| Distributed evolutionary algorithms and their models: A survey of the state-of-the-art YJ Gong, WN Chen, ZH Zhan, J Zhang, Y Li, Q Zhang, JJ Li Applied Soft Computing 34, 286-300, 2015 | 454 | 2015 |
| An energy efficient ant colony system for virtual machine placement in cloud computing XF Liu, ZH Zhan, JD Deng, Y Li, T Gu, J Zhang IEEE transactions on evolutionary computation 22 (1), 113-128, 2016 | 445 | 2016 |
| Clustering-based adaptive crossover and mutation probabilities for genetic algorithms J Zhang, HSH Chung, WL Lo Evolutionary Computation, IEEE Transactions on 11 (3), 326-335, 2007 | 418 | 2007 |
| Fuzzy-based Pareto optimality for many-objective evolutionary algorithms Z He, GG Yen, J Zhang IEEE Transactions on Evolutionary Computation 18 (2), 269-285, 2013 | 376 | 2013 |
| Multiple populations for multiple objectives: A coevolutionary technique for solving multiobjective optimization problems ZH Zhan, J Li, J Cao, J Zhang, HSH Chung, YH Shi IEEE transactions on cybernetics 43 (2), 445-463, 2013 | 351 | 2013 |
| Evolutionary computation meets machine learning: A survey J Zhang, Z Zhan, Y Lin, N Chen, Y Gong, J Zhong, HSH Chung, Y Li, ... IEEE Computational Intelligence Magazine 6 (4), 68-75, 2011 | 321 | 2011 |
| Adaptive multimodal continuous ant colony optimization Q Yang, WN Chen, Z Yu, T Gu, Y Li, H Zhang, J Zhang IEEE Transactions on Evolutionary Computation 21 (2), 191-205, 2016 | 319 | 2016 |
| A survey on evolutionary computation for complex continuous optimization ZH Zhan, L Shi, KC Tan, J Zhang Artificial Intelligence Review 55 (1), 59-110, 2022 | 308 | 2022 |
| A level-based learning swarm optimizer for large-scale optimization Q Yang, WN Chen, J Da Deng, Y Li, T Gu, J Zhang IEEE Transactions on Evolutionary Computation 22 (4), 578-594, 2017 | 298 | 2017 |
| Comparison of performance between different selection strategies on simple genetic algorithms J Zhong, X Hu, J Zhang, M Gu International conference on computational intelligence for modelling …, 2005 | 293 | 2005 |
| Multiobjective cloud workflow scheduling: A multiple populations ant colony system approach ZG Chen, ZH Zhan, Y Lin, YJ Gong, TL Gu, F Zhao, HQ Yuan, X Chen, ... IEEE transactions on cybernetics 49 (8), 2912-2926, 2018 | 291 | 2018 |
| Coevolutionary particle swarm optimization with bottleneck objective learning strategy for many-objective optimization XF Liu, ZH Zhan, Y Gao, J Zhang, S Kwong, J Zhang IEEE Transactions on Evolutionary Computation 23 (4), 587-602, 2018 | 257 | 2018 |
| Adaptive distributed differential evolution ZH Zhan, ZJ Wang, H Jin, J Zhang IEEE transactions on cybernetics 50 (11), 4633-4647, 2019 | 245 | 2019 |
Zhi-Hui Zhan（詹志辉）Nankai University, South China University of Technology在 nankai.edu.cn 的电子邮件经过验证