Path optimization of multi-depot and multi-vehicle cold chain logistics satisfaction constraints

Through analyzing the cost constitution of cold chain distribution, a vehicle routing optimization model with multiple depots and multiple vehicle types is constructed under the constraints of time and quality satisfaction. A 2-Opt elite non-dominated sorting genetic algorithm is devised, and the cost disparities between single-depot and multiple-vehicle types and multiple-depot and single-vehicle types of distribution are contrasted and analyzed. The results indicate that the multi-depot and multi-vehicle type hybrid distribution mode can more effectively reduce costs, and the improved local elite non-dominated sorting algorithm has better convergence performance. Meanwhile, it reveals the changing tendency of satisfaction during the cost optimization process, validating the effectiveness of the model and algorithm.