Research on Tourism Bus Route Optimization Based on Ant Colony Algorithm

Based on the current economic background, combined with the principle of ant colony algorithm, mathematical modeling and parameter setting are carried out. The simulation experiments are carried out on the basic ant colony algorithm, the improved maximum and minimum ant colony algorithm and the ant colony algorithm with independent improved pheromone updating method. Solve the optimal path and the shortest distance. Finally, the improved algorithm is compared with the experimental results of the two existing algorithms, and the improved algorithm is obtained. Although the result is relatively weaker than the maximum and minimum ant colony algorithm, it can be obtained with faster convergence speed and basic ant. The conclusion of the approximate result of the group algorithm, and the significance of the improved algorithm is proved to some extent.