A velocity-based butterfly optimization algorithm for high-dimensional optimization and feature selection

作者：

Highlights：

• A velocity-based butterfly optimization algorithm is proposed.

• A modified position updated equation is designed.

• The refraction-based learning is introduced to enhance the diversity.

• The extensive results show the competitiveness of the proposed algorithm.

摘要

•A velocity-based butterfly optimization algorithm is proposed.•A modified position updated equation is designed.•The refraction-based learning is introduced to enhance the diversity.•The extensive results show the competitiveness of the proposed algorithm.

论文关键词：Butterfly optimization algorithm,High-dimensional optimization,Refraction-learning,Feature selection,Particle swarm optimization,Global optimization

论文评审过程：Received 2 December 2020, Revised 21 March 2022, Accepted 9 April 2022, Available online 13 April 2022, Version of Record 18 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117217