Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS)
Version 1.0.2 (1,33 MB) von
Satyam Sharma
This is the Matlab Code for AGWOCS.
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:
A Novel Hybrid Metaheuristic Based on Augmented Grey Wolf Optimizer and Cuckoo Search for Global Optimization (ISCCC 2021), India, 2021, pp.376-381, DOI: https://doi.org/10.1109/ICSCCC51823.2021.9478142
The original AGWO code is in: https://in.mathworks.com/matlabcentral/fileexchange/67029-augmented-gwo-algorithm
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.
Zitieren als
Satyam Sharma (2024). Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS) (https://github.com/satyamsharma1193/AGWOCS/releases/tag/1.0.2), GitHub. Abgerufen .
Kompatibilität der MATLAB-Version
Erstellt mit
R2017a
Kompatibel mit allen Versionen
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Version | Veröffentlicht | Versionshinweise | |
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1.0.2 | See release notes for this release on GitHub: https://github.com/satyamsharma1193/AGWOCS/releases/tag/1.0.2 |
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1.0.1 | . |
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1.0.0 |
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.