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...

Celý popis

Podrobná bibliografie

Vydáno v:	Applied soft computing Ročník 143; s. 110360
Hlavní autoři:	Wei, Wenhong, Xuan, Manlin, Li, Lingjie, Lin, Qiuzhen, Ming, Zhong, Coello Coello, Carlos A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.08.2023
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!