Abstract:

A multi-Agent cooperation strategy based on the improved ant algorithm is proposed for solving the problems of task deadlock and low cooperation efficiency when the multi-Agent system works in unknown environment, then the method is applied to multi-Agent cooperative transportation. The distance between the Agent’s position and the task’s position and the pheromone control factor are introduced in the ant colony algorithm. Experimental results show that the cooperation efficiency of this method is higher than those ones without considering the distance factor, and can avoid task deadlock more effectively than those ones without the task pheromone control factor.