Selected Journal Papers:
J. Sun, A. Zhou, S. Keates, and S. Liao, Simultaneous Bayesian clustering and feature selection through student’s t mixtures model, IEEE Transactions on Neural Networks and Learning Systems, 2016. (accepted)
H. Zhang, A. Zhou, S. Song, Q. Zhang, X. Gao, and J. Zhang, A self-organizing multiobjective evolutionary algorithm, IEEE Transactions on Evolutionary Computation, 20(5):792-806, 2016.
L. Wang, Q. Zhang, A. Zhou, M. Gong, and L. Jiao, Constrained subproblems in decomposition based multiobjective evolutionary algorithm, IEEE Transactions on Evolutionary Computation, 20(3):475-480, 2016.
A. Zhou, and Q. Zhang, Are all the subproblems equally important? Resource allocation in decomposition based multiobjective evolutionary algorithms, IEEE Transactions on Evolutionary Computation, 20(1):52-64, 2016.
Z. Wang, Q. Zhang, A. Zhou, M. Gong, and L. Jiao, Adaptive replacement strategies for MOEA/D, IEEE Transactions on Cybernetics, 46 (2):474-486, 2016.
A. Zhou, J. Sun, and Q. Zhang, An estimation of distribution algorithm with cheap and expensive local search, IEEE Transactions on Evolutionary Computation, 19 (6): 807-822, 2015.
Y. Xiao, F. Fang, Q. Zhang, A. Zhou, and G. Zhang, Parameter selection for variational Pan-sharpening by using evolutionary algorithm, Remote Sensing Letters, 6(6):458-467, 2015.
C. Liu, A. Zhou, C. Wu, and G. Zhang, Image segmentation framework based on multiple feature spaces, IET Image Processing, 9(4):271-279, 2015.
W. Gong, A. Zhou, and Z. Cai, A multi-operator search strategy based on cheap surrogate models for evolutionary optimization, IEEE Transactions on Evolutionary Computation, 19 (5): 746-758, 2015.
G. Zhang, F. Fang, A. Zhou, and F. Li, Pan-sharpening of multi-spectral images using a new variational
model, International Journal of Remote Sensing, 9(4):271-279, 2015.
C. Li, A. Zhou, G. Zhang, and F. Fang, An antinoise method for hyperspectral unmixing, IEEE Geoscience and Remote Sensing Letters, 12(3):636-640, 2015.
A. Zhou, Y. Jin, and Q. Zhang, A population prediction strategy for evolutionary dynamic multiobjective optimization, IEEE Transactions on Cybernetics, 44(1):40-53,2014.
A. Zhou, Q. Zhang, and G. Zhang, A multiobjective evolutionary algorithm based on mixture Gaussian models, Journal of Software, 5:913-928, 2014. (in Chinese)
C. Liu, A. Zhou, Q. Zhang, and G. Zhang, Adaptive image segmentation by using mean-shift and evolutionary optimization, IET Image Processing, 8(6):327-333, 2014.
C. Li, F. Fang, A. Zhou, and G. Zhang, A novel blind spectral unmixing method based on error analysis of linear mixture model, IEEE Geoscience and Remote Sensing Letters, 11(7):1180-1184, 2014.
S. Jiang, Z. Dai, Y. Li, and A. Zhou, Data storage engine based on memory-mapped file for evolutionary algorithms, Computer Engineering and Applications, 2013. (in Chinese, accepted)
A. Zhou, F. Gao, and G. Zhang, A decomposition based estimation of distribution algorithm for multiobjective traveling salesman problems, Computers and Mathematics with Applications, 66:1857–1868, 2013.
C. Liu, A. Zhou, and G. Zhang, Automatic clustering method based on evolutionary optimization, IET Computer Vision, 7(4): 258–271, 2013.
A. Zhou, B. Qu, H. Li, S. Zhao, P. Suganthan, and Q. Zhang, Multiobjective evolutionary algorithms: A survey of the state of the art, Swarm and Evolutionary Computation, 1(1): 32–49, 2011.
A. Zhou, Q. Zhang and Y. Jin, Approximating the set of Pareto optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm,IEEE Transactions on Evolutionary Computation,13(5):1167-1189,2009.
Q. Zhang, A. Zhou, and Y. Jin, RM-MEDA: A regularity model based multiobjective estimation of distribution algorithm, IEEE Transactions on Evolutionary Computation,12(1):41-63, 2008.
A. Zhou, H. Cao, L. Kang, and Y. Huang, The automatic modelling of complex functions based on genetic programming, Journalof System Simulation, 15(6):797–799, 2003.
A. Zhou, L. Kang, Y. Chen, and Y. Huang, A new definition and calculation model for evolutionary multi-objective optimization, Journal of Wuhan University, 8(1B):189–194, 2003.
Yi Chen (2015-), Hanwei Zhang (2015-), Jinyuan Zhang (2013-).
Chunzhi Li (2011-2014), Cong Liu (2010-2013).
Shukai Zhao (2016-), Yanfeng Liu (2016-), Hui Fang (2015-), Bin Dong (2014-).
Xinqi Dong (2014-2016), Chupeng Zeng (2013-2016), Yannan Bai (2013-2015), Yang Li (2012-2015), Qiuxiao Liao (2012-2014), Jing Zhang (2011-2014), Qianlan Du (2011-2014), Zhenzhen Dai (2011-2014), Peng Ji (2011-2013), Sanyi Jiang (2011-2013), Feng Gao (2010-2013), Zhenyu Huang (2010-2013), Chenyin Zhong (2009-2012).
1. Artificial Intelligence, 2010, 2011, 2012, 2013, 2014, 2015.
2. Optimization Methods, 2016.
3. Computational Intelligence, 2012, 2013, 2015, 2016.
4. Windows Programming, 2012.
5. C/C++ Programming (laboratory course), 2010, 2011, 2012.