Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification

Feature selection (FS) is an important technique in data preprocessing that aims to reduce the number of features for training while maintaining a high accuracy for classification. In recent studies, FS has been extended to optimize multiple objectives simultaneously in classification. To better sol...

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Veröffentlicht in:	Applied soft computing Jg. 143; S. 110360
Hauptverfasser:	Wei, Wenhong, Xuan, Manlin, Li, Lingjie, Lin, Qiuzhen, Ming, Zhong, Coello Coello, Carlos A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2023
Schlagworte:	Evolutionary algorithm Feature selection High-dimensional classification Multiobjective optimization Resource allocation Feature selection High-dimensional classification Multiobjective optimization Evolutionary algorithm Resource allocation
ISSN:	1568-4946
Online-Zugang:	Volltext
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