%0 Journal Article
%T Species migration-based optimization algorithm and performance analysis<br>一种群体迁移优化算法及性能分析
%A MA Hai-ping
%A LI Huan
%A RUAN Xie-yong
%A <br>马海平
%A 李寰
%A 阮谢永
%J 控制理论与应用
%D 2010
%I 
%X Motivated by migration mechanisms of ecosystems, a species migration-based optimization algorithm (SMOA) is proposed. SMOA is a new optimization method based on the migration model of organism distribution in biological systems. Inspired by the development of other intelligence algorithms, problem solutions are represented as habitats; and the sharing of features between solutions is represented as species immigration and emigration in SMOA. This paper discusses the principle and steps of implementation in SMOA, and explores performance through benchmark functions. The performance study shows that the proposed algorithm is effective and is a promising candidate for optimization.
%K optimization algorithm
%K species migration
%K function optimization
%K computer intelligence<br>优化算法
%K 群体迁移
%K 函数优化
%K 计算智能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=EEB9877B4C4488F025643AFD21679350&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=C6EC7357BCACD3A4&eid=9DC563A0FEFC04F9&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=10