Quantum Chaotic Honey Badger Algorithm for Feature Selection

Quantum Chaotic Honey Badger Algorithm for Feature Selection

Determining the most relevant features is a critical pre-processing step in various fields to enhance prediction. To address this issue, a set of feature selection (FS) techniques have been proposed; however, they still have certain limitations. For example, they may focus on nearby points, which lo...

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Bibliographic Details
Main Authors:	Samah Alshathri, Mohamed Abd Elaziz, Dalia Yousri , Osama Farouk Hassan , Rehab Ali Ibrahim
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Electronics
Subjects:	feature selection honey badger algorithm (HBA) quantum-based optimization technique 2D chaotic Hénon map
Online Access:	https://www.mdpi.com/2079-9292/11/21/3463

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