Symbiotic organisms search algorithm using random walk and adaptive Cauchy mutation on the feature selection of sleep staging

作者：

Highlights：

• Symbiotic organism search algorithm with random walk and mutation is proposed.

• A wrapper feature selection approach containing 20 conversion methods is proposed.

• The proposed algorithm is applied to the feature selection of sleep staging.

• The proposed algorithm is compared with recent state-of-the-art algorithms.

• A superior performance of the proposed algorithm in sleep staging is proved.

摘要

•Symbiotic organism search algorithm with random walk and mutation is proposed.•A wrapper feature selection approach containing 20 conversion methods is proposed.•The proposed algorithm is applied to the feature selection of sleep staging.•The proposed algorithm is compared with recent state-of-the-art algorithms.•A superior performance of the proposed algorithm in sleep staging is proved.

论文关键词：Sleep staging,Feature selection,Symbiotic organisms search algorithm,Random walk,Adaptive Cauchy mutation

论文评审过程：Received 23 November 2019, Revised 13 January 2021, Accepted 6 March 2021, Available online 11 March 2021, Version of Record 3 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114887