%0 Journal Article
%T Research progress of genetic algorithm<br>遗传算法研究进展*
%A MA Yong-jie
%A YUN Wen-xia
%A <br>马永杰
%A 云文霞
%J 计算机应用研究
%D 2012
%I 
%X This paper studied the research status quo of main methods used in the theory of genetic algorithms such as coding strategies,genetic operators,parameters identification,convergence,deception problems at home and abroad,and discussed the research progress of genetic algorithm at home and abroad and the new application fields as well.Finally,it put forward the future research direction and research hotspot of the algorithm by analyzing papers in recent years.
%K genetic algorithm
%K genetic operators
%K convergence
%K constrained
%K multi-objective optimization<br>遗传算法
%K 遗传算子
%K 收敛性
%K 约束
%K 多目标优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=CF88F5976DB5FA5BDF1CDEA017941C4C&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=E158A972A605785F&sid=B4942BBE94415B36&eid=379827DA4720AA2A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=84