Optimization of vehicle-unmanned aircraft cooperative delivery path in the context of new retailing

Under the background of emerging digital intelligence technology development, the new retail mode develops with it, and the "last kilometer" distribution problem restricts the distribution efficiency and service quality. In order to solve this problem, this paper proposes a vehicle-drone cooperative distribution model, judging where to launch the drone and which customers to serve can save more distribution costs. And at the same time, we need to consider the vehicle, drone distribution cost, vehicle waiting for the drone cost, and the time penalty cost for violating the customer's soft time, etc., to construct a mixed integer planning model. According to the characteristics of the designed model, a genetic algorithm is designed to solve it, and finally, the correctness and effectiveness of the model and algorithm are verified by comparing with the heuristic algorithm, as well as by comparing the cost of vehicle alone delivery and vehicle-drone cooperative delivery.