改进的状态转换算法 (STA)附matlab代码.zip

This is a vector version of State Transition Algorithm The main function is Test_sta. You are suggested to cite the following references if you are using the basic STA. 1) X.J. Zhou, C.H. Yang and W.H. Gui, State Transition Algorithm, Journal of Industrial and Management Optimization 8(4): 1039-1056, 2012. 2) X.J. Zhou, C.H. Yang and W.H. Gui, Nonlinear system identification and control using state transition algorithm, Applied Mathematics and Computation, 226: 169--179, 2014. 3) X. J. Zhou, D.Y. Gao, C.H. Yang, W.H. Gui, Discrete state transition algorithm for unconstrained integer optimization problems, Neurocomputing, 173: 864-874, 2016. 4) X. J. Zhou, D.Y. Gao, A.R. Simpson, Optimal design of water distribution networks by discrete state transition algorithm, Engineering Optimization, 48(4):603-628,2016. 5) J. Han, C.H. Yang, X.J. Zhou*, W.H. Gui, A new multi-threshold image segmentation approach using state transition algorithm, Applied Mathematical Modelling, 44:588每601,2017. 6) X. J. Zhou, P Shi, C C Lim, C.H. Yang, W.H. Gui, A dynamic state transition algorithm with application to sensor network localization, Neurocomputing, 273:237-250,2018. 7) F.X. Zhang, C.H. Yang, X.J. Zhou*, W.H. Gui, Fractional-order PID controller tuning using continuous state transition algorithm, Neural Computing and Applications, 29(10):795-804,2018. 8) J. Han, C.H. Yang, X.J. Zhou*, W.H. Gui, A two-stage state transition algorithm for constrained engineering optimization problems, International Journal of Control Automation and Systems, 16(2):522每534, 2018. 9) M. Huang, X.J. Zhou*, T.W. Huang, C.H. Yang, W.H. Gui, Dynamic optimization based on state transition algorithm for copper removal process, Neural Computing and Applications, 2017, DOI: 10.1007/s00521-017-3232-0 10) Z.K. Huang, C.H. Yang, X.J. Zhou*, W.H. Gui, A novel cognitively-inspired state transition algorithm for solving the linear bi-level programming problem, Cognitive Computation, 2018, DOI: 10.1007/s12559-018-9561-1 11) X.J. Zhou, J.J. Zhou, C.H. Yang, W.H. Gui, Set-point tracking and multi-objective optimization-Based PID control for the goethite process, IEEE ACCESS, 6:36683-36698, 2018. 12) X.J. Zhou, C.H. Yang, W.H. Gui, A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm, IEEE Transactions on Cybernetics, 2018, DOI:10.1109/TCYB.2018.2850350 Contact Informationㄩ Dr. Xiaojun Zhou PhD School of Information Science and Engineering Central South University Changsha, Hunan, P.R. China 410083 michael.x.zhou@csu.edu.cn +86-13787052648 The matlab codes are run under the Matlab 2010b. Please do not hesitate to contact me if you have any further questions.