Binary butterfly optimization approaches for feature selection

作者：

Highlights：

• Two binary variants of the butterfly optimization algorithm (BOA) are proposed.

• Two transfer functions are used to map the continuous search space to discrete one.

• Twenty one UCI datasets are utilized in the experiments.

• A superior performance of the proposed binary variants is proved in the experiments.

摘要

•Two binary variants of the butterfly optimization algorithm (BOA) are proposed.•Two transfer functions are used to map the continuous search space to discrete one.•Twenty one UCI datasets are utilized in the experiments.•A superior performance of the proposed binary variants is proved in the experiments.

论文关键词：Binary butterfly optimization algorithm,Butterfly optimization algorithm,Feature selection,Bio-inspired optimization

论文评审过程：Received 27 March 2018, Revised 12 August 2018, Accepted 29 August 2018, Available online 1 September 2018, Version of Record 15 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.051