Collaborative distribution path optimization for multi-vehicles and multi-drones in the cold chain

Aiming at the problems of large cost, serious energy consumption and low distribution efficiency in cold chain logistics distribution. In this paper, the cargo damage cost, distribution cost and distribution time of cold chain vehicles and drones are considered comprehensively, and the total transportation cost is minimized as the optimization target model. The model is solved by artificial bee colony and genetic algorithm. A sensitivity analysis is performed for the speed of cold chain vehicles and drones. The results show that the cost of cargo damage and the total distribution time will decrease with the increase of the speed of cold chain vehicles and drones, but the speed of cold chain vehicles affects the two to a lesser extent compared to the speed of drones. The conclusions can provide distribution programs for logistics companies as well as help the government in decision-making.