Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces

作者：

Highlights：

• Feature selection algorithms based SOS algorithm are presented.

• Four different algorithms are improved in order to select of optimal features.

• MOSOS algorithm is the best to maximize accuracy while minimizing feature number.

• Performance of the improved algorithms is evaluated on two well-known datasets.

摘要

•Feature selection algorithms based SOS algorithm are presented.•Four different algorithms are improved in order to select of optimal features.•MOSOS algorithm is the best to maximize accuracy while minimizing feature number.•Performance of the improved algorithms is evaluated on two well-known datasets.

论文关键词：Feature selection,Symbiotic search organism algorithm,Multi-objective optimization,Brain computer interface

论文评审过程：Received 16 May 2019, Revised 15 August 2020, Accepted 18 August 2020, Available online 31 August 2020, Version of Record 14 September 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113907