%0 Journal Article
%T New crossover operator in float-point genetic algorithms<br>浮点遗传算法中一种新的杂交算子
%A WANG Jian-ming
%A XU Zhen-lin
%A <br>汪剑鸣
%A 许镇琳
%J 控制理论与应用
%D 2002
%I 
%X To improve the convergent speed of float-point genetic algorithms, a new genetic operator named intergenerational differential crossover operator was proposed. The operator was applied to simulating parameter estimation of nonlinear system, and the resulted showed its validity and its superiority over a general crossover operator.
%K genetic algorithms
%K global optimization
%K parameter estimation<br>遗传算法
%K 全局优化
%K 参数估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=2EBE29145186DC5A&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=B31275AF3241DB2D&sid=1BE4748776BF02C4&eid=724110922AF7E025&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=11&reference_num=4