Community-Oriented Multi-UAV Logistics and Distribution Task Allocation System

In this paper, we design and study a community-oriented system for allocating tasks in multi-UAV logistics and distribution. Our focus is on addressing community logistics problems. By conducting demand analysis, functional design, and mathematical modeling, we propose the use of a genetic algorithm to solve the task allocation problem. Our aim is to leverage UAV technology to overcome bottlenecks in traditional logistics distribution, thereby enhancing distribution efficiency and service quality. To demonstrate the system’s feasibility, we present a practical application example. Experimental results indicate that the system can reduce total distribution time by effectively utilizing UAV resources and optimizing allocation, when compared to traditional distribution methods.