Single-objective and multi-objective mixed-variable grey wolf optimizer for joint feature selection and classifier parameter tuning

Hongjuan Li, Hui Kang, Jiahui Li, Yanyun Pang, Geng Sun, Shuang Liang

Abstract: Highlights•Propose a joint feature selection and classifier parameter tuning method.•Formulate a complex mixed-variable optimization problem.•Introduce a single-objective optimization method called MGWO.•Present a multi-objective optimization approach, namely IMOGWO.•Perform extensive simulations to validate the effectiveness of the proposed methods.