Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS)

バージョン 1.0.2 (1.33 MB) 作成者: Satyam Sharma
This is the Matlab Code for AGWOCS.
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更新 2021/8/3
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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 algorithm is described in : https://doi.org/10.1016/j.asoc.2018.05.006
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.

引用

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

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バージョン 公開済み リリース ノート
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

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