Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection

作者：

Highlights：

• Propose a novel FS method, called ISSAFD, which improves Salp Swarm Algorithm (SSA).

• ISSAFS enhanced the followers in SSA using SCA and Disrupt operator (DO).

• Evaluating the influence of the operators of SCA on the behavior of leaders in SSA.

• Comparing the performance of ISSAFD with swarm intelligence (SI).

• The proposed ISSAFD provided better results in terms of performance measures.

摘要

•Propose a novel FS method, called ISSAFD, which improves Salp Swarm Algorithm (SSA).•ISSAFS enhanced the followers in SSA using SCA and Disrupt operator (DO).•Evaluating the influence of the operators of SCA on the behavior of leaders in SSA.•Comparing the performance of ISSAFD with swarm intelligence (SI).•The proposed ISSAFD provided better results in terms of performance measures.

论文关键词：Feature Selection (FS),Disruption Operator (Dop),Salp Swarm Algorithm (SSA),Sine Cosine Algorithm (SCA),Metaheuristics (MH)

论文评审过程：Received 2 May 2019, Revised 25 November 2019, Accepted 25 November 2019, Available online 26 November 2019, Version of Record 2 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113103