%0 Journal Article
%T New method based on genetic algorithm for resolving algebraic equation groups
一种基于遗传算法的求代数方程组数值解的新方法
%A HU Xiao-bing
%A WU Shu-fan
%A JIANG Ju
%A
胡小兵
%A 吴树范
%A 江 驹
%J 控制理论与应用
%D 2002
%I
%X Resolving equation group is a principal problem in engineering study. Any existing method can only deal with a specified kind of equation group, so has no broad applicability. A new method with broad applicability is presented on base of genetic algorithm, because genetic algorithm does not at all care what the problem is. First, a common model is established for all kinds of algebraic equation groups; then a software process is brought up; finally the performance is analyzed. The results of experiment show that the new method is effective and feasible, and the key to improve this method is to study genetic algorithm further.
%K genetic algorithm
%K equation group
%K fitness function
%K clustering
遗传算法
%K 方程组
%K 适应度函数
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=20B73B946665AC1C&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=E158A972A605785F&sid=41A78CBB5BAB6860&eid=18F040DBCB74FFF9&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=20&reference_num=5