%0 Journal Article
%T An Improved Ant Colony Algorithm for Function Optimization<br>用改进蚁群算法求解函数优化问题*
%A TANG Yong
%A MA Yong-kai
%A TANG Xiao-wo
%A <br>唐泳
%A 马永开
%A 唐小我
%J 计算机应用研究
%D 2004
%I 
%X An improved ant colony algorithm solving function optimization problem is proposed in this paper.The algorithm uses some ants to search in the solution space first in a stochastic way then stimulate the food searching behavior of real ants to guide the search by the pheromone.The new algorithm is explained in details and some simulations show the algorithm is very effective in finding global optimizations.
%K Function Optimization
%K Ant Colony Algorithm
%K Evolutionary Algorithm
%K Bionic Algorithm<br>函数优化
%K 蚁群算法
%K 进化算法
%K 仿生算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A368DCC7B03B801A&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=9CF7A0430CBB2DFD&sid=CFAC5CB624A41AFD&eid=C753EB8AC8F551B9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=5&reference_num=11