Research On Multi-destination Delivery Route Optimization Of Unmanned Express Vehicles

Abstract

Unmanned express vehicles play an increasingly important role in the logistics industry. In order to save time, reduce transportation costs in the process of logistics and distribution, and improve the utilization of resources, it is necessary to optimize the path of unmanned express vehicles to achieve the shortest logistics path in multiple destinations. Using the hybrid particle swarm optimization algorithm based on particle swarm optimization and genetic algorithm to optimize the path and overcome the long iteration of genetic algorithm could obtain a better optimal solution with fewer iterations, and the optimal solution is more stable. This can reduce the path mileage of logistics and transportation, improve work efficiency and reduce transportation time and cost.