%0 Journal Article
%T Invasive Weed Optimization and its Advances<br>野草算法及其研究进展
%A HAN Yi
%A CAI Jian-hu
%A LI Yan-lai
%A ZHOU Gen-gui
%A <br>韩毅
%A 蔡建湖
%A 李延来
%A 周根贵
%J 计算机科学
%D 2011
%I 
%X Invasive Weed Optimization(IWO) is a recently proposed simple and effective population-based novel numerical optimization algorithm. It's receiving increasing focuses from academic and engineering optimization fields. IWO is inspired from the invasive and colonizing characteristics of weeds, which tries to imitate the robustness, adaptation and randomness embodied by weeds during the colonizing process. Here,the fundamental principles and framework of IWO were described in detail. Then, the advances of IWO in the current optimization and engineering fields were summed up.
%K Invasive weed optimization
%K Engineering optimization
%K Colonization
%K Robustness<br>野草算法，工程优化，殖民化，鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=3D2912C8535AF99B111C4539B4674258&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=A04140E723CB732E&eid=EA389574707BDED3&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=14