Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating

To solve the problem of complexity and uncertainty in logistics and distribution system, a kind of Ant Colony Optimization algorithm based on immunity vaccine and dynamic pheromone updating is put forward in this paper. In this new Algorithm, initial antibody is vaccinated first to produce better solutions, and initial parameters are then set depending on these better solutions by the Ant Colony. Mechanism of dynamic adjustment and pheromone updating is also introduced into this algorithm to slow down the increment of the pheromone concentration difference between the paths, avoiding sectional solution of the algorithm. Experiment results show that DACOIV can effectively find optimal path for logistics and distribution system.