%0 Journal Article
%T Research on Niche Genetic Algorithm of Float Number Code<br>浮点数编码小生境遗传算法的研究
%A CUI Ming-Yi
%A <br>崔明义
%J 计算机科学
%D 2007
%I 
%X Niche has better performance in increasing the population diversity of genetic algorithm (GA), in improving local researching performance of it. So far, research results of relating to niche GA are all on binary code, there are no almoston float number code. But in improving the performance of GA and extending GA'sapplication, float number code is superior to other codes. In this paper, the mechanism of niche GA is researched by it on float number code. Dynamic process is analyzed by it on niche forming and merging and separating in inherit operation. The method is explored by it. The results of its research and experiment indicated that the performance of niche GA of float number code is reliable. The method is feasible.
%K Niche
%K Float number code
%K Genetic algorithm<br>小生境
%K 浮点数编码
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=856F75E2DC8537C9A9F471465E8F5C60&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=E158A972A605785F&sid=4966445AEEBA9556&eid=0DEB7A8A66C33AAD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=9