A multirobot target searching method based on bat algorithm in unknown environments

作者：

Highlights：

• An improved bat algorithm is proposed for target searching in unknown environments.

• Adaptive inertial weight helps robot improve diversity and escape from local optima.

• The method uses Doppler effect to improve the frequency formula and avoid premature.

• Multiswarm strategy in the method improves diversity and enlarge robot search area.

摘要

•An improved bat algorithm is proposed for target searching in unknown environments.•Adaptive inertial weight helps robot improve diversity and escape from local optima.•The method uses Doppler effect to improve the frequency formula and avoid premature.•Multiswarm strategy in the method improves diversity and enlarge robot search area.

论文关键词：Bat algorithm,Adaptive robotic BA,Doppler effect,Multirobot,Target searching

论文评审过程：Received 20 November 2018, Revised 14 August 2019, Accepted 7 September 2019, Available online 10 September 2019, Version of Record 18 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112945