MatLab Optimzation Code
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The Idea of this Algorithm
first we generate random solutions
then we start the first part of iteration GA and compare GA results with PSO results and choose best
these solution go to PSO Algorithm and create new solution and compare the new solutios with GA and choose best
and so on like Cuckoo algorithm ( CA )
**update Notes : fixed an issue with Mutate.m for higher dimensions ( for some reasons it has been fixed on github , so here the line you need to write
y(j)=x(j)+sigma(j)*randn(size(j));
in Line 30
for more information
eng.abo.lregal@gmail.com
Cite As
Ahmed raafat (2026). HGAPSO (https://github.com/AboLregal/HGAPSO/releases/tag/v1.3), GitHub. Retrieved .
General Information
- Version 1.3 (7.46 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3 | See release notes for this release on GitHub: https://github.com/AboLregal/HGAPSO/releases/tag/v1.3 |
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| 1.2.1.1 | fixing Summary error |
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| 1.2.1 | GitHub |
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| 1.2.0 | more speed to get the optimum |
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| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
