STA.rar_sta_坐标变换_旋转变换算子_旋转算子_状态转移算法

This is a vector version of STA, in which, the function that needs to be optimized can be written in vector type, i.e., the input decision variable is a vector and not a matrix. Moreover, an initial point can be provided by the user. Please cite the references included if you use STA. Address£º 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 Please do not hesitate to contact me if you have any further questions. [1]X. J. Zhou, C. H. Yang, W. H. Gui, State transition algorithm. Journal of Industrial and Management Optimization, 2012, 8(4): 1039-1056. [2]X.J. Zhou, C.H. Yang, W.H. Gui, Nonlinear system identification and control usingstate transition algorithm. Applied Mathematics and Computation, 2014,226: 169-179. [3]X.J. Zhou, D.Y. Gao, C.H. Yang, W.H. Gui, Discrete state transition algorithm for unconstrained integer optimization problems. Neurocomputing, 2016, 173, 864-874. [4]X.J. Zhou£¬D.Y. Gao, A. R. Simpson, Optimal design of water distribution networks by discrete state transition algorithm. Engineering Optimization, 2016, 48(4): 603-628. [5]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, 2018, 273: 237-250. [5]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, 2016,doi: 10.1007/s00521-016-2605-0 [6]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 [7]J. Han, C.H. Yang, X.J. Zhou, W.H. Gui, Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy. Hydrometallurgy, 2017, 173: 134-148. [8]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, 2017, 44: 588-601 [9]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, 2017, doi: 10.1007/s12555-016-0338-6