%0 Journal Article
%T Ant colony algorithm design of intercrossing affected double variable for continuous optimization problem<br>双参数交叉影响的连续域蚁群算法设计*
%A YUAN Jian-yi
%A GONG Quan-mei
%A ZHOU Shun-hua
%A <br>袁建议
%A 宫全美
%A 周顺华
%J 计算机应用研究
%D 2010
%I 
%X Based on general ant colony algorithm (ACA) to resolving complex calculation parameters problem in civil engineering, this paper developed a new ACA of intercrossing affected double variable for continuous optimization problem. At the same time, conformed mathematical model and arithmetic structure of the algorithm considering characters of practical problem, drew three affected factors including restriction of remained pheromone number, auto-adapted control of enduring coefficient of pheromone, the whole renew rule into the design of the algorithm. Brought out optimizing combination parameters of the algorithm by numerical simulation experiments of ant numbers, arithmetic convergence standard, minimal permanence coefficient of pheromone, circulation times and intensity constant of pheromone. At last, implemented the modified ACA to reverse calculation parameters of subgrade. The result of simple example shows that the modified ACA can solve the reversion problem efficiently. It realizes the application of ACA in civil engineering for continuous optimization problem.
%K ant colony algorithm
%K pheromone
%K variable
%K civil engineering
%K continuous optimization problem<br>蚁群算法
%K 信息素
%K 参数
%K 土木工程
%K 连续优化问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3877761C5843AC7D7636B8D97CF6AC8D&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=D92306F676C2377C&eid=076A4355FDA11BCF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16