Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection

Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection

A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization (PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO is a new hybrid optimization algorithm that benefits from the strengths of both GWO and PSO. Despite the superior perfo...

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Bibliographic Details
Main Authors: Qasem Al-Tashi, Said Jadid Abdul Kadir, Helmi Md Rais, Seyedali Mirjalili, Hitham Alhussian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature selection
hybrid binary optimization
grey wolf optimization
particle swarm optimization
classification
Online Access:https://ieeexplore.ieee.org/document/8672550/

Internet

https://ieeexplore.ieee.org/document/8672550/

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