Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection

Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection

Abstract Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, grey wolf optimizer (GWO) has received widespread at...

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Bibliographic Details
Main Authors: Zhiwei Ye, Ruoxuan Huang, Wen Zhou, Mingwei Wang, Ting Cai, Qiyi He, Peng Zhang, Yuquan Zhang
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-80648-z
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