Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems

Abstract Feature selection (FS) is a critical process in classification tasks within artificial intelligence, aimed at identifying a minimal yet highly informative subset of features to maximize classification accuracy. As a combinatorial NP-hard problem, FS necessitates using powerful metaheuristic...

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Hlavní autoři:	Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2025-06-01
Edice:	Journal of Big Data
Témata:	Horned Lizard Optimization Algorithm Feature selection Local escaping operator Orthogonal learning
On-line přístup:	https://doi.org/10.1186/s40537-025-01205-7
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