Multi-objective feature selection algorithm using Beluga Whale Optimization

The advancement of science and technology has resulted in large datasets with noisy or redundant features that hamper classification. In feature selection, relevant attributes are selected to reduce dimensionality, thereby improving classification accuracy. Multi-objective optimization is crucial in...

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Bibliographic Details

Published in:	Chemometrics and intelligent laboratory systems Vol. 257; p. 105295
Main Authors:	Kouhpah Esfahani, Kiana, Mohammad Hasani Zade, Behnam, Mansouri, Najme
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.02.2025
Subjects:	Beluga Whale Optimization Feature selection Multi-objective optimization Random forest Beluga Whale Optimization Feature selection Multi-objective optimization Random forest
ISSN:	0169-7439
Online Access:	Get full text
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