1. Sen Zhang,Yongquan Zhou, Zhiming Li, Wei Pan. Grey wolf optimizer for unmanned combat aerial vehicle path planning. Advances in Engineering Software, 99: 1216 (2016)
2. Qifang Luo, Sen Zhang, Zhiming Li, Yongquan Zhou. A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm. Algorithms, 9(1): 4(2016）
3. Yongquan Zhou, Xin Chen, Guo Zhou:An improved monkey algorithm for a 0-1 knapsack problem. Appl. Soft Comput. 38: 817-830 (2016)
4. Qifang Luo, Mingzhi Ma, Yongquan Zhou. A novel animal migration algorithm for global numerical optimization. Comput. Sci. Inf. Syst. 13(1): 259-285
(2016)
5. Yongquan Zhou, Rui Wang, Qifang Luo. Elite opposition-based flower pollination algorithm. Neurocomputing, 188: 294-310 (2016)
6. Yongquan Zhou, Rui Wang. An Improved Flower Pollination Algorithm for Optimal Unmanned Undersea Vehicle Path Planning Problem. IJPRAI 30(4)
(2016)
7. Rui Wang, Yongquan Zhou, Shilei Qiao, Kang Huang. Flower Pollination Algorithm with Bee Pollinator for cluster analysis. Inf. Process. Lett.116(1): 1-14
(2016)
8. Yongquan Zhou, Liangliang Li, Mingzhi Ma. A Complex-valued Encoding Bat Algorithm for Solving 0-1 Knapsack Problem. Neural Processing Letters, 44
(2): 407-430 (2016)
9.Zhiming Li, Yongquan Zhou, Sen Zhang, and Junmin Song. Lévy-Flight Moth-Flame Algorithm for Function Optimization and Engineering Design Problems, Mathematical Problems in Engineering,Volume 2016 (2016), Article ID 1423930, 22 pages
10.Haizhou Wu, Yongquan Zhou, Qifang Luo, Mohamed Abdel-Baset. Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm, ,Computational Intelligence and Neuroscience, 2016
11.Xiuli Wu, Yongquan Zhou, Yuting Lu. Elite Opposition-based Water Wave Optimization Algorithm for Global Optimization, Mathematical Problems in Engineering, 2016
12. Yongquan Zhou, Zongfan Bao, Qifang Luo, Sen Zhang. A complex-valued encoding wind driven optimization for the 0-1 knapsack problem, Applied
Intelligence, 2016.
