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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Vydáno v:	Expert systems with applications Ročník 213; s. 119015
Hlavní autoři:	Houssein, Essam H., Oliva, Diego, Çelik, Emre, Emam, Marwa M., Ghoniem, Rania M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2023
Témata:	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
On-line přístup:	Získat plný text
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