蚁群算法的改进策略研究  

The study of strategies to improve ant colony algorithm

作　　者：赵吉东[1] 

机构地区：[1]山东英才学院,济南250104

出　　处：《中国科技信息》2012年第12期149-150,共2页China Science and Technology Information

摘　　要：蚂蚁算法是一种元启发式优化算法,研究表明其具有较强鲁棒性、优良的分布式计算机制、易于与其他方法相结合等特点,但是也存在一些不足。针对蚁群算法的不足,许多的学者提出了诸多的改进算法,通过对改进算法的研究发现对改进策略的研究是非常必要的。文中对改进策略进行总结,为算法改进发展提供必要的参考。Ant colony algorithm is a meta--heuristin optimization algorithm, studies have shown that it has strong robustness, good distributed computer sysiem, easy to combine with other methods of characteristics, but at the same time there ape some short- coming, fop the lack of Ant colony algorithm , rezny scholars put forward a number of improved algorithm, By improving the algorithm foud the study of the improvement strategy is necessary. The article summarizes strategies for improving , which also improve the development of algorthrns to provide the necessary information.

关 键 词：蚁群算法 改进算法 改进策略 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]