%0 Journal Article
%T A Self-Adaptive Ant Colony Algorithm<br>自适应蚁群算法
%A ZHANG Ji-hui
%A GAO Qi-sheng
%A XU Xin-he
%A <br>张纪会
%A 高齐圣
%A 徐心和
%J 控制理论与应用
%D 2000
%I 
%X Ant colony algorithm is a novel simulated evolutionary algorithm which is proposed first by Italian scholars M.Dorigo, A.Colormi, and V. Maniezzo. Preliminary study has shown that it has many promising futures. It provides a possible way for complicated combinatorial optimization problems,so it interests many scholars. Unfortunately, however it has some shortcomings such as needing much time and easier occuring of stagnation behaviour. In view of the deficiency of research of ant colony algorithm at home, this paper presents a brief review on the research state of ant colony algorithm with hope to be helpful to the corresponding research work.
%K ant colony algorithm
%K reinforcement learning
%K traveling salesman problem<br>蚁群算法
%K 强化学习
%K 旅行商问题
%K 组合优化问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=5B928E5C07B6916CC640D0A16D5D4C1D&yid=9806D0D4EAA9BED3&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=CA4FD0336C81A37A&eid=38B194292C032A66&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=106&reference_num=5