摘要
自然界中群居性生物通过协作表现出的宏观智能行为特征被称为群体智能,群体智能已成为人工智能及相关领域的研究热点.蚁群算法(Ant Colony Optimization,ACO)是一种新颖的组合优化算法,它具有较强的鲁棒性、优良的分布式计算机制、易于与其他方法相结合等优点.主要介绍了蚁群算法的原理,探讨了蚁群优化算法及其应用.
intelligent behavior of gregarious living thing to have collaboration in nature was called swarm intelligence.Swarm intelligence has become a hot research topic in artificial intelligence and related fields.Ant colony algorithm(ant colony optimization,ACO)is a kind of combinative optimization algorithm,it has strong robustness,excellent distributed computer system,it is easy to combine with other methods.In this paper,the principle of ant colony algorithm was introduced mainly,the ant colony optimization algorithm and its application were discussed.
出处
《兰州文理学院学报（自然科学版）》
2014年第2期58-62,共5页
Journal of Lanzhou University of Arts and Science(Natural Sciences)
