主要论文：

[33]F. Wang, H. Zhang, and A. Zhou, A particle swarm optimization algorithm for mixed-variable optimization problems,Swarm and Evolutionary Computation, 60:100808, 2021. (accepted)

[32]C. Liu, T. Bian, and A. Zhou, Multiobjective multiple features fusion: A case study in image segmentation,Swarm and Evolutionary Computation, 60:100792, 2021. (accepted)

[31]M. Yang, A. Zhou, X. Yao, and C. Li, An efficient recursive differential grouping for large-scale continuous problems,IEEE Transactions on Evolutionary Computation, 25(1):159-171,2021.

[30]H. Hao, J. Zhang, X. Lu, and A. Zhou, Binary relation learning and classifying for preselection in evolutionary algorithms,IEEE Transactions on Evolutionary Computation,24(6):1125-1139,2020.

[29]F. Wang, Y. Li, A. Zhou, and K. Tang, An estimation of distribution algorithm for mixed-variable Newsvendor problems,IEEE Transactions on Evolutionary Computation,24(3):479-493, 2020.

[28]A. Zhou, Y. Wang, and J. Zhang, Objective extraction via Fuzzy clustering in evolutionary many-objective optimization,Information Sciences, 509:343-355, 2020.

[27]J. Zhang, A. Zhou, and G. Zhang, A pre-selection based on one-class classification in evolutionary algorithms,Chinese Journal of Computers,43(2):233-249, 2020.(in Chinese)

[26]M. Yang, A. Zhou, C. Li, J. Guan, and X. Yan, CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization,Information Sciences, 512:64-79, 2020.

[25]H. Zhang, A. Zhou, and X. Lin. Interpretable policy derivation for reinforcement learning based on evolutionary feature synthesis,Complex & Intelligent Systems,6 (3):741-753, 2020.

[24]X. Chen, C. Shi, A. Zhou, and B. Wu, A multiobjective evolutionary algorithm based on hybridindividual selection mechanism,Journal of Software,30(12):3651-3664, 2019.(in Chinese)

[23]A. Zhou, J. Zhang, J. Sun, and G. Zhang, Fuzzy-classification assisted solution preselectionin evolutionary optimization, inAAAI, pp. 2403-2410, 2019.

[22]W. Hong, K.Tang, A. Zhou, H. Ishibuchi, and X. Yao, A scalable indicator-based evolutionary algorithm for large-scale multi-objective optimization,IEEE Transactions on Evolutionary Computation, 23(3):525-537, 2019.

[21]J. Sun, H. Zhang, A. Zhou, Q. Zhang, and K. Zhang, A new learning-based adaptive multi-objective evolutionary algorithm,Swarm and Evolutionary Computation, 44:304-319, 2019.

[20]H.Zhang, and A. Zhou, Tree-structured decomposition and adaptation in MOEA/D, inParallel Problem Solving From Nature (PPSN XV), pp.359-371, 2018.

[19]J. Zhang, A. Zhou, K. Tang, and G. Zhang, Preselectionvia classification: A case study on evolutionary multiobjective optimization,Information Sciences, 465:388-403, 2018.

[18]D. Ding, Q. Zhang, L. Yang, A. Zhou, and J. Xia, Wiggly parallel-coupled line design by usingmultiobjective evolutionary algorithm,IEEE Microwave and Wireless Components Letters, 28(8):648-650, 2018.

[17]H. Fang, A. Zhou, and H. Zhang, Information fusion in offspring generation: A case studyin DE and EDA,Swarm and Evolutionary Computation,42:92-108, 2018.

[16]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.

[15]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.

[14]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.

[13]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.

[12]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.

[11]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.

[10]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.

[9]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.

[8]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)

[7]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.

[6]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.

[5]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.

[4]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.

[3]A.Zhou, Q. Zhang, Y. Jin, B. Sendhoff, and E. Tsang, Modelling the populationdistribution in multi-objective optimization by generative topographic mapping,inParallel Problem Solving From Nature(PPSN IX), pp.443-452, 2006.

[2]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.

[1]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.

学位论文：

[2]博士论文: Estimation of distribution algorithms for continuous multiobjective optimization,University of Essex, 2009年,导师: Qingfu Zhang教授, Edward Tsang教授,Yaochu Jin教授(Honda Research Institute Europe), Bernhard Sendhoff博士(Honda Research Institute Europe).

[1]硕士论文:演化建模及其应用,武汉大学, 2003年,导师:康立山教授.