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, . (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, . (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,.
[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,.
[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, .
[28]A. Zhou, Y. Wang, and J. Zhang, Objective extraction via Fuzzy clustering in evolutionary many-objective optimization,Information Sciences,509:343-355, .
[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, .(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, .
[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, .
[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, .(in Chinese)
[23]A. Zhou, J. Zhang, J. Sun, and G. Zhang, Fuzzy-classification assisted solution preselectionin evolutionary optimization, inAAAI,pp. 2403-2410, .
[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, .
[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, .
[20]H.Zhang, and A. Zhou, Tree-structured decomposition and adaptation in MOEA/D, inParallel Problem Solving From Nature (PPSN XV), pp.359-371, .
[19]J. Zhang, A. Zhou, K. Tang, and G. Zhang, Preselectionvia classification: A case study on evolutionary multiobjective optimization,Information Sciences, 465:388-403, .
[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, .
[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, .
[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, .
[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,.
[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,.
[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, .
[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, .
[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, .
[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, .
[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,.
[8]A. Zhou, Q. Zhang, and G. Zhang, A multiobjective evolutionary algorithm based on mixture Gaussian models,Journal of Software, 5:913-928, . (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, .
[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, .
[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,.
[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, .
[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, .
[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, .
[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, .
学位论文：
[2]博士论文: Estimation of distribution algorithms for continuous multiobjective optimization,University of Essex,,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, ,导师:康立山教授.
