AERPSO — An adaptive exploration robotic PSO based cooperative algorithm for multiple target searching

作者：

Highlights：

• To propose an adaptive exploration robotic PSO to search multiple targets.

• The method avoids local minima and keeps the diversity among the population.

• It enhances the exploration by adapting the inertia weights.

• The proposed algorithm deals with overshooting problem of PSO.

摘要

•To propose an adaptive exploration robotic PSO to search multiple targets.•The method avoids local minima and keeps the diversity among the population.•It enhances the exploration by adapting the inertia weights.•The proposed algorithm deals with overshooting problem of PSO.

论文关键词：Swarm intelligence,Target searching,Particle swarm optimization,AERPSO

论文评审过程：Received 4 July 2021, Revised 21 June 2022, Accepted 18 July 2022, Available online 23 July 2022, Version of Record 1 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118245