An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection

To overcome the lack of flexibility of Harris Hawks Optimization (HHO) in switching between exploration and exploitation, and the low efficiency of its exploitation phase, an efficient improved greedy Harris Hawks Optimizer (IGHHO) is proposed and applied to the feature selection (FS) problem. IGHHO...

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Detalles Bibliográficos
Autores principales: Zou, Lewang, Zhou, Shihua, Li, Xiangjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407072/
https://www.ncbi.nlm.nih.gov/pubmed/36010729
http://dx.doi.org/10.3390/e24081065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407072/
https://www.ncbi.nlm.nih.gov/pubmed/36010729
http://dx.doi.org/10.3390/e24081065

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