Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets
Abstract Due to the high-dimensional characteristics of dataset, we propose a new method based on the Wolf Search Algorithm (WSA) for optimising the feature selection problem. The proposed approach uses the natural strategy established by Charles Darwin; that is, ‘It is not the strongest of the spec...
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Auteurs principaux: | Jinyan Li, Simon Fong, Raymond K. Wong, Richard Millham, Kelvin K. L. Wong |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2017
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Accès en ligne: | https://doaj.org/article/b1be323aba084e8ea579cefa3cc848a8 |
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