%0 Journal Article
%T Adaptive genetic strategy with continuous mutation<br>一种连续变异的自适应遗传策略
%A WANG Si-yan
%A ZHANG Guo-liCollege of Computer Science
%A Technology
%A North China Electric Power University
%A Baoding Hebei
%A China
%A College of Mathematics
%A Physics
%A <br>王思艳
%A 张国立
%J 计算机应用
%D 2008
%I 
%X A new algorithm based on continuous mutation was proposed. The mixed selection was used for choosing individuals. Through the combination of the phased crossover and the cosine adaptive crossover, the double adaptive crossover got the crossover probability. The continuous mutation strategy used continuous process from crude search to precise search. Numerical experiments show that the new algorithm is more effective in realizing the high convergence speed, convergence precision, reducing the convergence algebra and good at keeping the stability of the adaptive genetic algorithm.
%K mutation
%K adaptive genetic algorithm
%K adaptive crossover
%K selection
%K Gray code<br>变异
%K 自适应遗传算法
%K 自适应交叉
%K 选择
%K 格雷码
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=8E6B90B3BA808DB1030286D10C8DB8CF&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=3DE3A0112A73EB9B&eid=ECB0E987482F534B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=13