%0 Journal Article
%T Genetic crossover strategy to obtain optimal solutions quickly<br>快速寻优的遗传交叉策略
%A CHEN Xiao-ping
%A <br>陈小平
%A 石　玉
%A 于盛林
%J 控制理论与应用
%D 2002
%I 
%X This paper presents a crossover strategy that utilizes an approximation concept to steer the location of progeny in genetic algorithm. The use of such a crossover strategy provides the capacity of quickly moving progeny toward regions with improved fitness. Experiment results demonstrated that genetic algorithms with this crossover strategy could greatly accelerate the speed on obtaining optimal solutions.
%K genetic algorithms
%K crossover strategy
%K approximation<br>遗传算法
%K 交叉策略
%K 逼近
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=19DC77465E3E7A23&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=B31275AF3241DB2D&sid=90C2E72D2E105FF5&eid=CEA1F7DC6B978724&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=6&reference_num=5