中文

Journal Publications

[21]W.H. Gui, C.H. Yang, C C Lim, P Shi, X. J. Zhou.A dynamic state transition algorithm with application to sensor network localization[J].Neurocomputing, 2018, 273: 237-250.
[22]W.H. Gui, X.J. Zhou*, C.H. Yang, J. Han.A two-stage state transition algorithm for constrained engineering optimization problems[J].Int. Journal of Control Automation and Systems, 2018, 16 (2) : 522–534.
[23]W.H. Gui, X.J. Zhou, C.H. Yang, J. Han.Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy[J].Hydrometallurgy, 2017, 173: 134–148.
[24]W.H. Gui, X.J. Zhou, C.H. Yang, F.X. Zhang.Optimal control based on control period calculation for copper removal process of zinc solution purification[J].控制理论与应用, 2017, 34 (10) : 1388-1395.
[25]W.H. Gui, X.J. Zhou*, C.H. Yang, J. Han.A new multi-threshold image segmentation approach using state transition algorithm[J].Applied Mathematical Modelling, 2017, 44: 588–601.
[26]W.H. Gui, X.J. Zhou*, C.H. Yang, F.X. Zhang.Fractional-order PID controller tuning using continuous state transition algorithm[J].Neural Computing and Applications, 2018, 29 (10) : 795-804.
[27]H.S. Xi, X.J. Zhou, X.H. Yu, X.H. Liu.Finite-time H∞ control for linear systems with semi-Markovian switching[J].Nonlinear Dynamics, 2016, 85 (4) : 2297-2308.
[28]W.H. Gui, X.J. Zhou*, C.H. Yang, J. Han.Entropy-based estimation of bubble size distributions in froth flotation using B-spline functions[J].IFAC-PapersOnLine, 2016, 49 (20) : 96–101.
[29]W.H. Gui, X.J. Zhou*, C.H. Yang, T.X. Dong.A novel discrete state transition algorithm for staff assignment problem[J].控制理论与应用, 2016, 33 (10) : 1378-1388.
[30]W.H. Gui, C.H. Yang, X.J. Zhou.A matlab toolbox for continuous state transition algorithm[C].Proceedings of the 35th Chinese Control Conference, 2016: 9172-9177.
[31]W.H. Gui, C.H. Yang, X.J. Zhou.A Comparative Study of STA on Large Scale Global Optimization[C].World Congress on Intelligent Control & Automation, 2016: 2115 - 2119.
[32]W.H. Gui, C.H. Yang, D Y Gao, X. J. Zhou.Discrete state transition algorithm for unconstrained integer optimization problems[J].Neurocomputing, 2016, 173: 864-874.
[33]A. R. Simpson, D. Y. Gao, X. J. Zhou.Optimal design of water distribution networks by discrete state transition algorithm[J].Engineering Optimization, 2016, 48 (4) : 603-628.
[34]C.H. Yang, D.Y. Gao, X. J. Zhou.Global solutions to a class of CEC benchmark constrained optimization problems[J].Optimization Letters, 2016, 10 (3) : 457-472.
[35]Y.F. Xie, C.H. Yang, X.J. Zhou, H.M. He, Y.L. Wang.Optimization of both operating costs and energy efficiency in the alumina evaporation process by a multi-objective state transition algorithm[J].The Canadian Journal of Chemical Engineering, 2015, 94 (1) : 53-65.
[36]W.H. Gui, C.H. Yang, X. J. Zhou.Modeling and control of nonferrous metallurgical processes on the perspective of global optimization[J].控制理论与应用, 2015, 32 (9) : 1158-1169.
[37]M Q Xiao, T W Huang, C J Li, X. J. Zhou.Fast gradient-based distributed optimisation approach for model predictive control and application in four-tank benchmark[J].IET Control Theory & Applications, 2015, 9 (10) : 1579–1586.
[38]W.H. Gui, C.H. Yang, C C Lim, P Shi, X. J. Zhou.Event based guaranteed cost consensus for distributed multi-agent systems[J].Journal of the Franklin Institute, 2015, 352: 3546–3563.
[39]W.H. Gui, C.H. Yang, X.L. Tang, T.X. Dong, X. J. Zhou.A BMI approach to guaranteed cost control of discrete-time uncertain system with both state and input delays[J].Optimal Control Applications and Methods, 2015, 36 (6) : 844-852.
[40]D Y Gao, X. J. Zhou*, C J Li.Stable trajectory of logistic map[J].Nonlinear Dynamics, 2014, 78 (1) : 209-217.

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Michael X Zhou

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