A Master-Slave Binary Grey Wolf Optimizer for Optimal Feature Selection in Biomedical Data Classification

A new master-slave binary grey wolf optimizer (MSBGWO) is introduced. A master-slave learning scheme is introduced to the grey wolf optimizer (GWO) to improve its ability to explore and get better solutions in a search space. Five high-dimensional biomedical datasets are used to test the ability of...

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Detalles Bibliográficos
Autores principales: Momanyi, Enock, Segera, Davies
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526239/
https://www.ncbi.nlm.nih.gov/pubmed/34676261
http://dx.doi.org/10.1155/2021/5556941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526239/
https://www.ncbi.nlm.nih.gov/pubmed/34676261
http://dx.doi.org/10.1155/2021/5556941

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