Complex autonomous dynamical systems require sophisticated optimization methods that encompass environment awareness,path planning,and decision-making.swarm intelligence algorithms,inspired by natural phenomena such a...Complex autonomous dynamical systems require sophisticated optimization methods that encompass environment awareness,path planning,and decision-making.swarm intelligence algorithms,inspired by natural phenomena such as bird flocks and fish schools,have undergone significant advancements over recent decades.This paper provides a comprehensive review of particle swarm optimization(PSO)in the context of autonomous systems.We specifically examine the application of PSO to multi-agent dynamical systems,reviewing how PSO variants are employed to tackle diverse optimization challenges across various platforms,including ground vehicles,autonomous underwater vehicles,and unmanned aerial vehicles.Additionally,we delve into the use of PSO within swarm robotics and multi-agent systems.The paper concludes with an outline of potential future research directions,particularly focusing on the application of PSO to the multi-agent rendezvous problem in autonomous systems.展开更多
基金supported in part by the NASA South Carolina Space Grant Consortium(5121383-UG-SC-006).Recommended by Associate Editor Xin Luo.
文摘Complex autonomous dynamical systems require sophisticated optimization methods that encompass environment awareness,path planning,and decision-making.swarm intelligence algorithms,inspired by natural phenomena such as bird flocks and fish schools,have undergone significant advancements over recent decades.This paper provides a comprehensive review of particle swarm optimization(PSO)in the context of autonomous systems.We specifically examine the application of PSO to multi-agent dynamical systems,reviewing how PSO variants are employed to tackle diverse optimization challenges across various platforms,including ground vehicles,autonomous underwater vehicles,and unmanned aerial vehicles.Additionally,we delve into the use of PSO within swarm robotics and multi-agent systems.The paper concludes with an outline of potential future research directions,particularly focusing on the application of PSO to the multi-agent rendezvous problem in autonomous systems.
