Boosted sooty tern optimization algorithm for global optimization and feature selection

Feature selection (FS) represents an optimization problem that aims to simplify and improve the quality of highly dimensional datasets through selecting prominent features and eliminating redundant and irrelevant data to classify results better. The goals of FS comprise dimensionality reduction and...

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Veröffentlicht in:	Expert systems with applications Jg. 213; S. 119015
Hauptverfasser:	Houssein, Essam H., Oliva, Diego, Çelik, Emre, Emam, Marwa M., Ghoniem, Rania M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2023
Schlagworte:	Dimensionality reduction Feature selection Metaheuristics Optimization algorithm Sooty Tern Optimization Algorithm (STOA) Dimensionality reduction Sooty Tern Optimization Algorithm (STOA) Feature selection Optimization algorithm Metaheuristics
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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