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...
