Effective memetic algorithm for multilabel feature selection using hybridization-based communication

作者：

Highlights：

• An effective memetic algorithm for multilabel feature selection is proposed.

• A communication process with a hybridized filter improves a search capability.

• Experimental results on 14 multilabel datasets demonstrate the effectiveness.

摘要

•An effective memetic algorithm for multilabel feature selection is proposed.•A communication process with a hybridized filter improves a search capability.•Experimental results on 14 multilabel datasets demonstrate the effectiveness.

论文关键词：Multilabel feature selection,Memetic algorithm,Feature subset refinement,Memetic communication process

论文评审过程：Received 19 September 2021, Revised 15 January 2022, Accepted 28 March 2022, Available online 10 April 2022, Version of Record 20 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117064