Unmanned aerial vehicle trajectory optimization method and system based on bionic algorithm and BP neural network

The invention discloses an unmanned aerial vehicle trajectory optimization method and system based on a bionic algorithm and a BP neural network. The method comprises the following steps: constructing an air-ground cooperative wireless communication network system model comprising K ground base stations, M low-altitude unmanned aerial vehicles, N high-altitude unmanned aerial vehicles and L ground users; constructing a target optimization function of the air-ground cooperative wireless communication network system model based on the loss gain, the coverage rate and the user service volume; solving the target function by adopting a genetic algorithm, an ant colony algorithm and a particle swarm algorithm to obtain an optimal value and a corresponding solution; performing kmeans clustering processing on the optimal value and the corresponding solution to obtain a data set; and taking the data and the function value as input, training a DNN network, and realizing unmanned aerial vehicle trajectory optimization b