An improved bat algorithm hybridized with extremal optimization and Boltzmann selection

作者：

Highlights：

• An improved IBA-EO algorithm is proposed for continuous optimization.

• An improved update strategy is proposed to update the position of a bat.

• EO is introduced into BA for updating the position of bats.

• Boltzmann selection is employed to choose a bat for EO mutation.

• Four groups of experiments demonstrate its superiority.

摘要

•An improved IBA-EO algorithm is proposed for continuous optimization.•An improved update strategy is proposed to update the position of a bat.•EO is introduced into BA for updating the position of bats.•Boltzmann selection is employed to choose a bat for EO mutation.•Four groups of experiments demonstrate its superiority.

论文关键词：Bat algorithm,Extremal optimization,Boltzmann selection strategy,Continuous optimization problems

论文评审过程：Received 19 June 2019, Revised 26 February 2021, Accepted 27 February 2021, Available online 3 March 2021, Version of Record 24 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114812