Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization

The traditional particle swarm optimization algorithm is fast and efficient, but it easy to fall into a local optimum. An improved PSO proposed applied in 3D path planning of UAV solve the problem. Improvement methods are described as follows: combining with genetic (GA), setting dynamic inertia weight, adding sigmoid function improve crossover mutation probability algorithm, changing selection method. simulation results show that solves better route faster more stable.