Unmanned aerial vehicle flight path planning method based on multi-target particle swarm optimization

The invention belongs to the technical field of unmanned aerial vehicle flight path planning, and particularly relates to an unmanned aerial vehicle flight path planning method based on multi-target particle swarm optimization. According to the invention, information such as unmanned aerial vehicle and user positions obtained through a 5G communication technology and a GPS positioning technology is transmitted back to a data processing server at the same time, a two-stage decomposition-based multi-target particle swarm optimization algorithm is used for carrying out feasible flight path planning, a group of feasible schemes are output, and then a data server side sends an instruction to the unmanned aerial vehicle in a current area; and thus the unmanned aerial vehicle executes the travel plan in sequence. The method can be organically combined with the technical directions of formation strategy, obstacle avoidance strategy, target detection, three-dimensional path planning and the like, so that the feasibili