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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| 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 |