Taking the location problem of UAV logistics distribution center as the research object, combined with its location characteristics, an objective function containing fixed construction cost, storage and management cost, transportation cost and other cost elements is constructed, and a location model based on fast non dominated sorting genetic algorithm NSGA-2 is established to solve the problem, revealing the relationship between Pareto optimal solutions of different objectives. Finally, taking Tianjin as an example to establish a UAV distribution network for epidemic prevention materials, the optimization scheme is given to verify the correctness of the model.