%0 Journal Article
%T Ant colony algorithm based on mind evolution<br>基于思维进化的蚁群算法
%A JIA Hong-yan
%A GUO Jin-li
%A <br>贾洪岩
%A 郭进利
%J 计算机应用
%D 2009
%I 
%X The basic ant colony algorithm is easy to fall in local peak. In order to overcome this shortcoming resulting in the precocity and stagnation, a new kind of ant colony algorithm based on mind evolution was proposed. The detailed realization of the method was illustrated and some examples of the traveling salesman problem were computed. Simulation results prove that the new algorithm is effective and feasible.
%K 思维进化
%K 蚁群算法
%K 趋同
%K 异化
%K 旅行商问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=D578DB58BE47BB862E9A45A2F6213A8F&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=A1CD1DC26CC35415&eid=3ED1EAB217774597&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10