Particle swarm optimization based path planning for reconnaissance of unmanned air vehicles
Lei Hu-min · Electronics Optics & Control · 2007
We studied Particle Swarm Optimization(PSO) algorithm and used it in path planning of unmanned air vehicles.Two concepts of exchange index and mutation operator are introduced to solve the problem that PSO easily falls into a local extremum.The approach of the scheme is described.A reference path is obtained in Matlab simulation environment.Result shows that the improved PSO is brief and effective,and enhances the reconnaissance efficiency of the UAVs greatly.