Optimization of Material Distribution Route Based on Green Logistics and Ant Colony Algorithm

Abstract

Aiming at the problem of slow development of electric logistics due to the low efficiency of traditional electric materials distribution, an optimization method of material distribution route based on ant colony algorithm was proposed. First of all, the multi-objective function was constructed based on customer satisfaction and the shortest distribution distance. Then, combined with the disadvantages of the traditional ant colony algorithm, the pheromone, volatile factor and heuristic factor of the ant colony algorithm were improved to solve the multi-objective function. Finally, the effectiveness of the algorithm was verified by simulation test. Simulation results showed that compared with traditional ant colony algorithm, when the number of terminal distribution points is 20, the shortest distribution distance obtained by the optimized ant colony algorithm is reduced by 1.7%, and the convergence speed of the algorithm is improved by 34.5%. Therefore, the optimized ant colony algorithm is better than the traditional ant colony algorithm, which can improve the distribution efficiency of electric power material.