| Title |
Application of Artificial Intelligence in the Problem of Agricultural Cold Chain Logistics Center Site Selection |
| DOI |
https://doi.org/10.5573/IEIESPC.2025.14.4.535 |
| Keywords |
AI; Agricultural cold chain; Logistics center; Site selection problem |
| Abstract |
Transportation of agricultural products is an important part of agricultural development, but the problem of logistics center siting is a complex optimization problem. We adopt AI-based demand analysis and cold chain logistics center siting model based on improved ant colony algorithm, and improve the neighborhood structure and parameter settings of the algorithm, and carry out the process of initialization, iteration, and termination of the algorithm. We compare the algorithm in this paper with similar algorithms. The results show that the algorithm proposed in this paper is significantly better than the other five algorithms in both OBJ and ACC metrics, which indicates that the algorithm proposed in this paper has a stronger site selection effect and can better solve the site selection problem. In terms of practical application, the cold chain transportation time of agricultural products is reduced by shrinking, the total mileage of transportation is shortened, and the satisfaction level of each logistics center is significantly improved. |