A Method for Planning the Transportation Route of Fresh Agricultural Products Based on Ant Colony Algorithm

Abstract

The current fresh agricultural product transportation route planning matrix is generally set in a single form, resulting in low path planning efficiency and increased path transportation time. Therefore, the design and analysis of a fresh agricultural product transportation route planning method based on the ant colony algorithm is proposed in this paper. The optimal path problem and planning nodes are described based on actual planning needs and standards. A multi-objective form is adopted to improve path planning efficiency, and a multi-objective optimal planning matrix and ant colony calculation line planning model are designed. Based on this, path planning processing is implemented using time and space route correction. The test results show that compared to the traditional CiteSpace fresh agricultural product transportation route planning test group and the traditional improved genetic algorithm fresh agricultural product transportation route planning test group, a better control of the path transportation time within 150 minutes is achieved by the ant colony algorithm fresh agricultural product transportation route planning test group designed this time. This indicates that the designed transportation route is considered the optimal route. Furthermore, after research, it was found that the arrival times of the six selected delivery points were all before the expected earliest arrival time, suggesting that this planning method has greater effectiveness and practical application value.