Route Planning for Unmanned Aerial Vehicles Based on Adaptive Mutation Particle Swarm Optimization
Flight route planning is a key technology in low-altitude penetration, which is used for obtaining a safe, reliable and global optimal three-dimensional flight route. A new route planning method was put forward based on an adaptive mutation particle swarm optimization. The basic particle swarm optimization has some defects, such as being liable to get into local extremum, slow convergence velocity and low convergence precision in the late evolutionary. An adaptive mutation particle swarm optimization can overcome the defects of the basic particle swarm optimization. The simulation results demonstrated that this method can implement route planning rapidly and efficiently and get a desired 3D path.
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维普
