Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization

Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization

Feature selection is a preprocessing step for various classification tasks. Its objective is to identify the most optimal features in a dataset by eliminating redundant data while preserving the highest possible classification accuracy. Three improved binary Grey Wolf Optimization (GWO) approaches a...

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Bibliographic Details
Main Authors: Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
swarm intelligence
feature selection
particle swarm optimization
grey wolf optimization
Online Access:https://www.mdpi.com/2076-3417/15/2/489
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