RESEARCH ON THE OPTIMIZATION OF PATH INFORMATION IN THE PROCESS OF LOGISTICS DISTRIBUTION BY IMPROVED ANT COLONY ALGORITHM

Abstract

Whether the logistics distribution path is reasonable determines distribution speed and distribution efficiency.  In this research, the ant colony algorithm is introduced in detail, and a mathematical model of the algorithm is established for the characteristics of logistics distribution problems, and the algorithm is further improved and optimized on convergence rate and global searching ability.  The experimental results showed that the improved algorithm optimized the logistics distribution path and could find the optimal path scheme quickly and effectively, proving that it is feasible and promising in the optimization of logistics distribution paths.