Support Vector Machine with feature selection: A multiobjective approach

作者：

Highlights：

• The SVM with feature selection problem is considered from a bi-objective perspective.

• A metaheuristic to approximate the Pareto front has been designed and implemented.

• A computational experiment demonstrates the efficiency of our proposal.

• Some properties of the points of the Pareto frontier are also discussed.

摘要

•The SVM with feature selection problem is considered from a bi-objective perspective.•A metaheuristic to approximate the Pareto front has been designed and implemented.•A computational experiment demonstrates the efficiency of our proposal.•Some properties of the points of the Pareto frontier are also discussed.

论文关键词：Support vector machine,Feature selection,Multi-objective optimization,NSGA-II,AUGMECON2

论文评审过程：Received 8 September 2021, Revised 3 April 2022, Accepted 30 April 2022, Available online 11 May 2022, Version of Record 20 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117485