%0 Journal Article
%T QoS routing algorithm based on the combination of genetic algorithm and ant colony algorithm<br>基于遗传算法和蚁群算法融合的QoS路由算法
%A LIU Ping
%A GAO Fei
%A YANG Yun
%A <br>刘萍
%A 高飞
%A 杨云
%J 计算机应用研究
%D 2007
%I 
%X Abstract:For the QoS routing problem, this paper designed a QoS routing algorithm according to the combination of the genetic algorithm and ant colony algorithm(GAACO_QoS). Taking advantage of genetic algorithm was used to produce the original results, they were transformed into the initial pheromones value needed by ant colony algorithm, then ant colony algorithm to get the best results. The definition of the genetic algorithm control function was to control the appropriate combination opportunity of the two algorithms. The validity of the algorithm was illuminated when compared to the genetic algorithm and the ant colony algorithm.
%K genetic algorithm
%K ant colony algorithm
%K QoS routing<br>遗传算法
%K 蚁群算法
%K 服务质量路由
%K 基于遗传算法
%K 蚁群算法
%K 算法融合
%K 路由算法
%K ant
%K colony
%K algorithm
%K genetic
%K algorithm
%K combination
%K based
%K 有效性
%K 比较
%K 时机
%K 控制函数
%K 设置
%K 最优解
%K 初值
%K 信息素
%K 转换
%K 初始解
%K 利用
%K routing
%K algorithm
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F66407219E2F6AEA66&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=9CF7A0430CBB2DFD&sid=A1266CF37D675CF1&eid=0DEB7A8A66C33AAD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13