Adaptive ant colony algorithm based on dynamic weighted rule
一种基于动态加权规则的自适应蚁群算法

Firstly,the basic idea of the ant algorithm was introduced.Then a modified ant colony algorithm was presented.The algorithm overcame the default of slow-convergence and stagnation phenomenon in the classical ant colony algorithm,and introduced a weighting idea in the updating of pheromone.Experimental results show that this algorithm has much higher capacity of searching global optimal result than some classical ant colony algorithms.It can obtain a very good balance between the convergence rate and the stagnant phenomenon.