Time-varying hierarchical chains of salps with random weight networks for feature selection

作者：

Highlights：

• An efficient wrapper feature selection approach is proposed.

• The approach combines random weight networks and a time-varying swarm algorithm.

• 20 well-known datasets are utilized for comparison purposes.

• Benchmark results confirm the effectiveness of the proposed model.

摘要

•An efficient wrapper feature selection approach is proposed.•The approach combines random weight networks and a time-varying swarm algorithm.•20 well-known datasets are utilized for comparison purposes.•Benchmark results confirm the effectiveness of the proposed model.

论文关键词：Feature selection,Salp swarm algorithm,Optimization,Evolutionary algorithms

论文评审过程：Received 15 October 2018, Revised 3 August 2019, Accepted 24 August 2019, Available online 25 August 2019, Version of Record 6 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112898