Cold chain distribution path optimization based on improved particle swarm algorithm

Aiming at the problems of high distribution cost and low customer satisfaction in the current cold chain distribution link, this paper constructs a cold chain distribution path optimization model with the objective of minimizing the comprehensive distribution cost according to the characteristics of cold chain distribution, and under the constraint of overall customer satisfaction, and by comprehensively considering the transportation cost, refrigeration cost, timewindow penalty cost and cargo damage cost. Then, the improved particle swarm algorithm is designed and solved the model. Finally, an example of a cold chain distribution center is analyzed, and a distribution plan that meets customer satisfaction and cost optimization is obtained, which verifies the effectiveness of this paper's model and the improved algorithm; at the same time, the applicability of this paper's model and the improved algorithm is verified by solving the standard case of the Solomon dataset.