Dimensional Learning Strategy-Based Grey Wolf Optimizer for Solving the Global Optimization Problem

Grey wolf optimizer (GWO) is an up-to-date nature-inspired optimization algorithm which has been used for solving many of the real-world applications since it was proposed. In the standard GWO, individuals are guided by the three dominant wolves alpha, beta, and delta in the leading hierarchy of the...

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Detalles Bibliográficos
Autores principales: Liu, Xinyang, Wang, Yifan, Zhou, Miaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818440/
https://www.ncbi.nlm.nih.gov/pubmed/35140767
http://dx.doi.org/10.1155/2022/3603607

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818440/
https://www.ncbi.nlm.nih.gov/pubmed/35140767
http://dx.doi.org/10.1155/2022/3603607

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