Application of Simulated Annealing Algorithm in Emergency Logistics Optimization under 5G Network Environment

With the continuous advancement of technology, "delivery vehicles + drones" has gradually become a new delivery method, especially for emergency material distribution in disaster-stricken areas. The main areas affected by disasters are served by delivery vehicles, while remote areas are assisted by drones. This method will greatly improve delivery efficiency and shorten delivery time. This article explores the overall delivery route of different transportation methods such as "delivery vehicles only," "delivery vehicles + drones," and "reduced delivery vehicles + drones" under different roadmaps using path planning models and simulated annealing algorithms. The complexity of the roadmap is gradually increased, and constraints such as increasing the maximum load and longest route are added to construct a planning model for the fastest delivery solution. The simulated annealing algorithm is used to provide the final route planning scheme, which provides theoretical guidance for actual delivery scenarios.