Ant Colony Algorithm Research Based on Pheromone Update Strategy

A new pheromone control strategy based on knowledge guide is presented. The main idea is to use the prior knowledge and group knowledge from statistical learning to guide the ant search. It has more targeted for ants search which combined with new pheromone updating strategy, thus contributing to a better solution for the algorithm. The experimental results indicate that the overall performance of the ant colony algorithm based on knowledge guiding pheromone control strategy is obviously better than other ant colony optimization algorithm.