A GWO-based multi-robot cooperation method for target searching in unknown environments

作者：

Highlights：

• An improved grey wolf optimizer is proposed for target searching.

• This research uses best learning strategy to improve the position updating formula.

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

• This research adopts an adaptive speed adjustment strategy and an escape mechanism.

摘要

•An improved grey wolf optimizer is proposed for target searching.•This research uses best learning strategy to improve the position updating formula.•Adaptive inertial weight helps robot improve diversity and escape from local optima.•This research adopts an adaptive speed adjustment strategy and an escape mechanism.

论文关键词：Grey wolf optimizer,Adaptive inertial weight,Multi-robot,Target searching,Adaptive speed adjustment strategy

论文评审过程：Received 14 February 2020, Revised 30 July 2021, Accepted 21 August 2021, Available online 29 August 2021, Version of Record 3 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115795