Grey Wolf Optimization algorithm based on Cauchy-Gaussian mutation and improved search strategy

The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation. However, in actual optimization projects, there are problems of slow convergence speed and easy to fall into local opti...

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Detalles Bibliográficos
Autores principales: Li, Kewen, Li, Shaohui, Huang, Zongchao, Zhang, Min, Xu, Zhifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643465/
https://www.ncbi.nlm.nih.gov/pubmed/36348083
http://dx.doi.org/10.1038/s41598-022-23713-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643465/
https://www.ncbi.nlm.nih.gov/pubmed/36348083
http://dx.doi.org/10.1038/s41598-022-23713-9

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