%0 Journal Article
%T Orthogonal experiment method based on niche hybrid genetic algorithm<br>基于正交试验法的小生境混合遗传算法
%A HUANG Kun
%A CHEN Sen-f
%A ZHOU Zhen-guo
%A <br>黄　鵾
%A 陈森发
%A 周振国
%J 控制理论与应用
%D 2004
%I 
%X In the applied course of simple genetic algorithm (SGA),in order to solve some problems such as premature phenomena,slow convergence and poor precision of results,raising the optimization performance of genetic algorithm,the global equilibrium design ideology of orthogonal experiment method and niche ideology of nature were studied,and some powerful evolutional operations were imported.On the basis of these,an orthogonal experiment method based niche hybrid genetic algorithm (ONHGA) is presented,and performance analysis and case research are also done.The research results show that ONHGA can effectively improve the global astringency and the evolutional speed of genetic algorithm,and the stability of algorithm is also improved.
%K genetic algorithm
%K global optimization
%K niche
%K orthogonal operations
%K hybrid evolution<br>遗传算法
%K 全局优化
%K 小生境
%K 正交操作
%K 混合进化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=5B90356EF53D9BB0&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=66156A49F03BF135&eid=BF1CF7F9466F9169&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=3&reference_num=11