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Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS)

version 1.0.2 (1.33 MB) by Satyam Sharma
This is the Matlab Code for AGWOCS.

82 Downloads

Updated 03 Aug 2021

From GitHub

View license on GitHub

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.

Cite As

Satyam Sharma (2021). Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS) (https://github.com/satyamsharma1193/AGWOCS/releases/tag/1.0.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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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.