A novel hybrid feature selection method combining binary grey wolf optimization and cuckoo search

Abstract The increasing availability of high-dimensional data in modern applications poses serious challenges for machine learning models, including excessive computation, high memory demand, and degraded accuracy caused by redundant or irrelevant features. This paper introduces a novel feature sele...

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Bibliografiske detaljer

Principais autores:	Xiangling Liu, Hongwei Tian
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-11-01
Serier:	Scientific Reports
Fag:	Adaptive convergence factor Probabilistic variation operator Binary grey wolf optimization Cuckoo search Wrapper-based feature selection
Online adgang:	https://doi.org/10.1038/s41598-025-29018-x
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