战略随机搜索 (SRS) 算法matlab代码.zip

The Strategic Random Search (SRS) algorithm is a new global optimization algorithm to solve unconstrained single-objective optimization problems. Contains a total of 3 programs ("SRS.m", "Example.m" and "Compare.m") and 1 dataset ("DataPE.mat"): (1) "SRS.m" is the main program of the SRS algorithm, and the specific parameters of the algorithm are given. (2) "Example.m" gives an example of the use of the SRS algorithm for reference. (3) "Compare.m" compares the convergence of the four algorithms (SRS, SCE-UA, GA, PSO) in a specific situation on the hydrological model GR4J, and gives the calling methods of the four algorithms and the differences in the results. (4) "DataPE.mat" is the supporting data set of "Compare.m". Inventor of the SRS algorithm: Wei Haoshan