Hybrid Augmented Grey Wolf Optimizer & Cuckoo Search(AGWOCS)

버전 1.0.2 (1.33 MB) 작성자: Satyam Sharma
This is the Matlab Code for AGWOCS.
다운로드 수: 393
업데이트 날짜: 2021/8/3
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.

인용 양식

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

MATLAB 릴리스 호환 정보
개발 환경: R2017a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
버전 게시됨 릴리스 정보
1.0.2

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

1.0.1

.

1.0.0

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.