Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification

Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification

Feature selection or dimensionality reduction can be considered as a multi-objective minimization problem with two objectives: minimizing the number of features and minimizing the error rate simultaneously. Despite being a multi-objective problem, most existing approaches treat feature selection as...

Full description

Bibliographic Details
Main Authors: Qasem Al-Tashi, Said Jadid Abdulkadir, Helmi Md Rais, Seyedali Mirjalili, Hitham Alhussian, Mohammed G. Ragab, Alawi Alqushaibi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature selection
grey wolf optimizer
multi-objective optimization
classification
Online Access:https://ieeexplore.ieee.org/document/9108264/

Internet

https://ieeexplore.ieee.org/document/9108264/

Similar Items