Application of PSO Algorithm in MAV Swarm Parallel Simulation
Wei Ou · Jisuanji fangzhen · 2009
It is safe,quick,and efficient to perform a reconnaissance mission with MAV swarms.They have an important role to play in both military and civil usage and can not be substituted.Because MAV swarm's flying capability is limited,also considering the need to improve their searching efficiency,it is important to find a shortest route before starting a reconnaissance mission.Numerous methods have been proposed to find a shortest route,but this paper tries to solve this problem with Particle Swarm Optimization Algorithm.Particle Swarm Optimization Algorithm is simpler,more robust,and more intelligent than other methods.Most importantly,it is naturally suitable for parallel computation,and can be easily parallelized and used in Parallel Simulation.This paper provides a parallel flow chart of PSO algorithm and proves its correctness with experiments.