免疫蚁群算法在一般医疗器械配送路径优化中的应用

In this paper, Immune Ant Colony Optimization is introduced into solving the delivery path for solving optimization problems of conventional medical devices. It combined the advantages of ant colony algorithm and Immune Ant Colony Optimization. Relatived to the basic ant colony algorithm for solving the path of conventional medical equipment distribution optimization problems, the immune ant colony algorithm has faster convergence speed and shorter search time. The simulation experiments show that the results of the Immune Ant Colony Optimization are superior to Ant Colony Optimization.