Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic

This research proposes a new type of Grey Wolf optimizer named Gradient-based Grey Wolf Optimizer (GGWO). Using gradient information, we accelerated the convergence of the algorithm that enables us to solve well-known complex benchmark functions optimally for the first time in this field. We also us...

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Detalles Bibliográficos
Autores principales: Khalilpourazari, Soheyl, Hashemi Doulabi, Hossein, Özyüksel Çiftçioğlu, Aybike, Weber, Gerhard-Wilhelm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997148/
https://www.ncbi.nlm.nih.gov/pubmed/33814731
http://dx.doi.org/10.1016/j.eswa.2021.114920

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997148/
https://www.ncbi.nlm.nih.gov/pubmed/33814731
http://dx.doi.org/10.1016/j.eswa.2021.114920

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