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 beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Qasem Al-Tashi, Said Jadid Abdulkadir, Helmi Md Rais, Seyedali Mirjalili, Hitham Alhussian, Mohammed G. Ragab, Alawi Alqushaibi
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2020-01-01
Serie:IEEE Access
Ämnen:
Feature selection
grey wolf optimizer
multi-objective optimization
classification
Länkar:https://ieeexplore.ieee.org/document/9108264/

Internet

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

Liknande verk