The Strategic Random Search (SRS) algorithm

Version 1.0.3 (62.7 KB) by Haoshan Wei
The Strategic Random Search (SRS) is a new global optimization algorithm to solve unconstrained single-objective optimization problems.
5.0
(1)
169 Downloads
Updated 2 Nov 2021

View License

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".

Cite As

Haoshan Wei (2024). The Strategic Random Search (SRS) algorithm (https://www.mathworks.com/matlabcentral/fileexchange/101373-the-strategic-random-search-srs-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Shuffled Complex Evolution (SCE-UA) Method

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
1.0.3

The annotations of the algorithm are slightly modified.
1.0.2

The annotations of the algorithm are slightly modified.
1.0.1

Modified the description of the algorithm
1.0.0