Selected Journal Papers:
H.Zhang, and A. Zhou, Tree-structured decomposition and adaptation in MOEA/D, in Parallel Problem Solving From Nature (PPSN XV),2018. (accepted)
J. Zhang, A. Zhou, K. Tang, and G. Zhang, Preselectionvia classification: A case study on evolutionary multiobjective optimization, InformationSciences, 2018. (accepted)
X. Chen, C. Shi, A. Zhou, and B. Wu, A multiobjective evolutionary algorithm based on hybridindividual selection mechanism, Journal of Software, 2018. (accepted,in Chinese)
D. Ding, Q. Zhang, L. Yang, A. Zhou, and J. Xia, Wiggly parallel-coupled line design by usingmultiobjective evolutionay algorithm, IEEE Microwave and Wireless Components Letters, 2018. (accepted)
J. Sun, H. Zhang, A. Zhou, Q. Zhang, and K. Zhang, A new learning-based adaptivemulti-objective evolutionary algorithm, Swarm and Evolutionary Computation, 2018. (accepted)
J. Zhang, A. Zhou, and G. Zhang, Preselection via classification: a case study on global optimization, International Journal of Bio-Inspired Computation, 2018. (accepted)
H. Fang, A. Zhou, and H. Zhang, Information fusion in offspring generation: A case studyin DE and EDA, Swarm and Evolutionary Computation, 2018. (accepted)
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, 29(4):1187-1199, 2018.
 J. Zhang, A. Zhou, G. Zhang, and H. Zhang, A clustering based mate selection for evolutionary optimization, Big Data and Information Analytics, 2(1):77-85, 2017.
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.
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, Q. Zhang, Y. Jin, B. Sendhoff, and E. Tsang, Modelling the populationdistribution in multi-objective optimization by generative topographic mapping,in Parallel Problem Solving From Nature(PPSN IX), LNCS(4193), Reykjavik, Iceland: Springer-Verlag, 2006, pp.443-452.
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.
lHaoyin Zhao (2018-), Hanwei Zhang (2015-), Yi Chen (2015-).
lJinyuan Zhang (2013-2018), Chunzhi Li (2011-2014), Cong Liu (2010-2013).
lJunchen Li (2018-), Zhenhao Qiu (2018-), Hao Hao (2017-), Dedong Li(2017-), Lunbiao Duan(2017-), Shukai Zhao (2016-), Yanfeng Liu (2016-).
lHui Fang (2015-2018), Bin Dong (2014-2017), Xinqi Dong (2014-2017), Chupeng Zeng (2013-2017), 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, 2016, 2018.
2. Frontier of Artificial Intelligence, 2018.
3. Optimization Methods, 2016.
4. Computational Intelligence, 2012, 2013, 2015, 2016, 2017.
5. Windows Programming, 2012.
6. C/C++ Programming (laboratory course), 2010, 2011, 2012.