The Strategic Random Search (SRS) algorithm
The Strategic Random Search (SRS) is a new global optimization algorithm to solve unconstrained single-objective optimization problems.
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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".
Citar como
Haoshan Wei (2026). The Strategic Random Search (SRS) algorithm (https://es.mathworks.com/matlabcentral/fileexchange/101373-the-strategic-random-search-srs-algorithm), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspirado por: Shuffled Complex Evolution (SCE-UA) Method
Información general
- Versión 1.0.3 (62,7 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
