The Strategic Random Search (SRS) algorithm

Version 1.0.3 (62,7 ko) par Haoshan Wei
The Strategic Random Search (SRS) is a new global optimization algorithm to solve unconstrained single-objective optimization problems.
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Mise à jour 2 nov. 2021

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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".

Citation pour cette source

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. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2018b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Remerciements

Inspiré par : Shuffled Complex Evolution (SCE-UA) Method

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Version Publié le Notes de version
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