Greedy Non‐Hierarchical Grey Wolf Optimizer (G-NHGWO)

Versione 1.0.3 (521 KB) da Ebrahim Akbari

An improved version of Grey Wolf Optimizer (GWO) introduced in a 2021 paper

Segui

0.0

(0)

355 download

Aggiornato 19 ott 2021

Visualizza la licenza

Grey wolf optimization (GWO) algorithm is a new emerging algorithm that is based on the social hierarchy of grey wolves as well as their hunting and cooperation strategies. Introduced in 2014, this algorithm has been used by a large number of researchers and designers, such that the number of citations to the original paper exceeded many other algorithms. In a recent study by Niu et al., one of the main drawbacks of this algorithm for optimizing real‐world problems was introduced. In summary, they showed that GWO's performance degrades as the optimal solution of the problem diverges from 0.

In Greedy Non‐Hierarchical Grey Wolf Optimizer (G-NHGWO), by introducing a straightforward modification to the original GWO algorithm, that is, neglecting its social hierarchy, we were able to largely eliminate this defect and open a new perspective for future use of this algorithm. The efficiency of the proposed method was validated by applying it to benchmark and real‐world engineering problems.

The reference paper (Open Access): http://dx.doi.org/10.1049/ell2.12176

Cita come

Ebrahim Akbari (2025). Greedy Non‐Hierarchical Grey Wolf Optimizer (G-NHGWO) (https://it.mathworks.com/matlabcentral/fileexchange/90802-greedy-non-hierarchical-grey-wolf-optimizer-g-nhgwo), MATLAB Central File Exchange. Recuperato novembre 4, 2025.

Akbari, Ebrahim, et al. “A Greedy Non-Hierarchical Grey Wolf Optimizer for Real-World Optimization.” Electronics Letters, Institution of Engineering and Technology (IET), Apr. 2021, doi:10.1049/ell2.12176.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2019a

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Tag Aggiungi tag

Community Treasure Hunt

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

Start Hunting!

G-NHGWO MATLAB Codes

Versione	Pubblicato	Note della release
1.0.3	19 ott 2021	Editing description.	Scarica
1.0.1	19 ott 2021	Mentioning that the reference paper is Open Access.	Scarica
1.0.0	20 apr 2021		Scarica

MLA	Akbari, Ebrahim, et al. “A Greedy Non-Hierarchical Grey Wolf Optimizer for Real-World Optimization.” Electronics Letters, Institution of Engineering and Technology (IET), Apr. 2021, doi:10.1049/ell2.12176.
APA	Akbari, E., Rahimnejad, A., & Gadsden, S. A. (2021). A greedy non-hierarchical grey wolf optimizer for real-world optimization. Electronics Letters. Institution of Engineering and Technology (IET). Retrieved from https://doi.org/10.1049%2Fell2.12176
BibTeX	@article{Akbari_2021, doi = {10.1049/ell2.12176}, url = {https://doi.org/10.1049%2Fell2.12176}, year = 2021, month = {apr}, publisher = {Institution of Engineering and Technology ({IET})}, author = {Ebrahim Akbari and Abolfazl Rahimnejad and Stephen Andrew Gadsden}, title = {A greedy non-hierarchical grey wolf optimizer for real-world optimization}, journal = {Electronics Letters} }