HGAPSO

Versione 1.3 (7,46 KB) da Ahmed raafat
MatLab Optimzation Code
734 download
Aggiornato 6 feb 2019
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

Cita come

Ahmed raafat (2024). HGAPSO (https://github.com/AboLregal/HGAPSO/releases/tag/v1.3), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2018b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

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Versione Pubblicato Note della release
1.3

See release notes for this release on GitHub: https://github.com/AboLregal/HGAPSO/releases/tag/v1.3

1.2.1.1

fixing Summary error

1.2.1

GitHub

1.2.0

more speed to get the optimum

1.0.0

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.