%0 Journal Article
%T Adaptive ant colony algorithm based on dynamic weighted rule<br>一种基于动态加权规则的自适应蚁群算法
%A GAO Shi-wei
%A GUO Lei
%A DU Ya-qin
%A YANG Ning
%A CHEN Liang
%A <br>高世伟
%A 郭雷
%A 杜亚琴
%A 杨宁
%A 陈亮
%J 计算机应用
%D 2007
%I 
%X 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.
%K ant colony algorithm
%K traveling salesman problem
%K weighting algorithm
%K convergence and stagnation<br>蚁群算法
%K 旅行商问题
%K 加权算法
%K 收敛和停滞
%K 动态
%K 加权规则
%K 自适应
%K 蚁群算法
%K rule
%K weighted
%K dynamic
%K based
%K ant
%K colony
%K algorithm
%K 平衡
%K 停滞现象
%K 收敛速度
%K 能力
%K 全局最优解
%K 搜索
%K 结果
%K 实验
%K 信息素
%K 方法
%K 改进
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051267ADB53398CD1F00&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=661BC7188EA165E8&eid=4477555D45FDE796&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10