| Firefly algorithm with neighborhood attraction H Wang, W Wang, X Zhou, H Sun, J Zhao, X Yu, Z Cui Information Sciences 382, 374-387, 2017 | 360 | 2017 |
| Improving artificial bee colony algorithm using a new neighborhood selection mechanism H Wang, W Wang, S Xiao, Z Cui, M Xu, X Zhou Information Sciences 527, 227-240, 2020 | 174 | 2020 |
| A new dynamic firefly algorithm for demand estimation of water resources H Wang, W Wang, Z Cui, X Zhou, J Zhao, Y Li Information Sciences 438, 95-106, 2018 | 170 | 2018 |
| Firefly algorithm with adaptive control parameters H Wang, X Zhou, H Sun, X Yu, J Zhao, H Zhang, L Cui Soft computing 21, 5091-5102, 2017 | 160 | 2017 |
| Gaussian bare-bones artificial bee colony algorithm X Zhou, Z Wu, H Wang, S Rahnamayan Soft Computing 20, 907-924, 2016 | 92 | 2016 |
| Enhancing artificial bee colony algorithm with multi-elite guidance X Zhou, J Lu, J Huang, M Zhong, M Wang Information Sciences 543, 242-258, 2021 | 88 | 2021 |
| Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation S Xiao, H Wang, W Wang, Z Huang, X Zhou, M Xu Applied Soft Computing 100, 106955, 2021 | 86 | 2021 |
| Artificial bee colony algorithm based on knowledge fusion H Wang, W Wang, X Zhou, J Zhao, Y Wang, S Xiao, M Xu Complex & Intelligent Systems 7, 1139-1152, 2021 | 70 | 2021 |
| A novel self-adaptive multi-strategy artificial bee colony algorithm for coverage optimization in wireless sensor networks J Wang, Y Liu, S Rao, X Zhou, J Hu Ad Hoc Networks 150, 103284, 2023 | 67 | 2023 |
| Enhancing the modified artificial bee colony algorithm with neighborhood search X Zhou, H Wang, M Wang, J Wan Soft Computing 21 (10), 2733-2743, 2017 | 66 | 2017 |
| 一种精英反向学习的粒子群优化算法 周新宇， 吴志健， 王晖， 李康顺， 张浩宇 电子学报 41 (8), 1647-1652, 2013 | 61 | 2013 |
| Elite opposition-based differential evolution for solving large-scale optimization problems and its implementation on GPU X Zhou, Z Wu, H Wang 2012 13th international conference on parallel and distributed computing …, 2012 | 41 | 2012 |
| Artificial bee colony algorithm based on multiple neighborhood topologies X Zhou, Y Wu, M Zhong, M Wang Applied Soft Computing 111, 107697, 2021 | 36 | 2021 |
| Enhancing differential evolution with role assignment scheme X Zhou, Z Wu, H Wang, S Rahnamayan Soft Computing 18, 2209-2225, 2014 | 33 | 2014 |
| Micro multi-strategy multi-objective artificial bee colony algorithm for microgrid energy optimization H Peng, C Wang, Y Han, W Xiao, X Zhou, Z Wu Future Generation Computer Systems 131, 59-74, 2022 | 27 | 2022 |
| Artificial bee colony algorithm based on adaptive neighborhood topologies X Zhou, Y Wu, M Zhong, M Wang Information Sciences 610, 1078-1101, 2022 | 22 | 2022 |
| 基于正交实验设计的人工蜂群算法 周新宇， 吴志健， 王明文 软件学报 26 (9), 2167-2190, 2015 | 17 | 2015 |
| A new artificial bee colony based on multiple search strategies and dimension selection S Xiao, W Wang, H Wang, X Zhou IEEE Access 7, 133982-133995, 2019 | 15 | 2019 |
| Enhancing artificial bee colony algorithm with generalised opposition-based learning X Zhou, Z Wu, C Deng, H Peng International Journal of Computing Science and Mathematics 6 (3), 297-309, 2015 | 15 | 2015 |
| Accelerating artificial bee colony algorithm by using an external archive H Wang, Z Wu, X Zhou, S Rahnamayan 2013 IEEE Congress on Evolutionary Computation, 517-521, 2013 | 14 | 2013 |
Hui WangNanchang Institute of TechnologyPotvrđena adresa e-pošte na whu.edu.cn