Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS)

This is the Matlab Code for AGWOCS.
393 descargas
Actualizado 3 ago 2021
The AGWO is an augmentation of the original grey wolf optimizer(GWO) and was proposed by Mohammed H.Qais et al. Here, we have proposed a new hybrid meta-heuristic algorithm based on Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS) as shown in the attached files.
The research paper for AGWOCS algorithm:
The original AGWO algorithm is described in : https://doi.org/10.1016/j.asoc.2018.05.006
Please cite as :
S. Sharma, R. Kapoor and S. Dhiman, "A Novel Hybrid Metaheuristic Based on Augmented Grey Wolf Optimizer and Cuckoo Search for Global Optimization," 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), 2021, pp. 376-381, doi: 10.1109/ICSCCC51823.2021.9478142.

Citar como

Satyam Sharma (2024). Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS) (https://github.com/satyamsharma1193/AGWOCS/releases/tag/1.0.2), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2017a
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
1.0.2

See release notes for this release on GitHub: https://github.com/satyamsharma1193/AGWOCS/releases/tag/1.0.2

1.0.1

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1.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.