%0 Journal Article
%T Multi-population Binary ant Colony Algorithm with Congestion Control Strategy<br>带拥塞控制的多种群二元蚁群算法
%A YAN Bin
%A XIONG Wei-qing
%A CHENG Mei-ying
%A YE Qing
%A <br>严彬
%A 熊伟清
%A 程美英
%A 叶青
%J 控制理论与应用
%D 2009
%I 
%X Binary ant-colony algorithm has good performance in the function optimization problem. However, this algorithm is easy to be trapped into the local optimization region and can not get all the solutions of the multi-modal function. An improved binary ant-colony algorithm based on congestion control strategy and multi-population is proposed to overcome these disadvantages. The congestion control strategy and the multi-populations method are respectively introduced to improve the global optimization ability and its multi-modal optimization ability. Tests with various functions (including single-modal and multi-modal functions) demonstrate that the improved algorithm has good global search ability and ensures a better effect to the multi-objective problems.
%K binary ant colony algorithm
%K congestion control strategy
%K multi-population
%K multi-modal function<br>二元蚁群
%K 拥塞控制策略
%K 多种群
%K 多峰函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=B6927D96400E69C62E62A686FEFE73A5&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=E158A972A605785F&sid=117BC32987199759&eid=0BD4FAD4A90498AB&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=11