An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection

Recently, evolutionary multitasking (EMT) has been successfully used in the field of high-dimensional classification. However, the generation of multiple tasks in the existing EMT-based feature selection (FS) methods is relatively simple, using only the Relief-F method to collect related features wi...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 27; H. 4; S. 1
Hauptverfasser:	Li, Lingjie, Xuan, Manlin, Lin, Qiuzhen, Jiang, Min, Ming, Zhong, Tan, Kay Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Classification competitive swarm optimizer Convergence evolutionary algorithm Evolutionary algorithms evolutionary multitasking Feature extraction Feature selection Filtering Filtration high-dimensional classification Knowledge management Knowledge transfer Multitasking Production methods Search problems Task analysis
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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