蚁群算法是优化领域中新出现的一种仿生进化算法.该算法采用分布式并行计算机制,易与其他方法结合,具有较强的鲁棒性;但搜索时间长、易限入局部最优解是其突出的缺点.针对蚁群算法,首先介绍其基本原理;然后讨论了近年来对蚁群算法的若干改进以及在许多新领域中的发展应用;最后评述了蚁群算法未来的研究方向和主要研究内容 Ant colony algorithm is a kind of bionics evolutionary algorithm emerging in the field of optimization. The algorithm adopts distributed parallel computing mechanism, which is easy to combine with other methods and has strong robustness. However, the search time is long and can be easily limited to the local optimum Solution is its outstanding shortcomings.At the ant colony algorithm, the basic principle of the ant colony algorithm is introduced first. Then some improvements of the ant colony algorithm in recent years and its application in many new fields are discussed. Finally, the future research direction of the ant colony algorithm And the main research content