%0 Journal Article
%T Implementation of Adaptive Multiple Bit Mutation Genetic Algorithm<br>自适应多位变异遗传算法的实现
%A WANG Ji-Yi WU Yan-Xian
%A <br>王基一
%A 吴燕仙
%J 计算机科学
%D 2003
%I 
%X Genetic algorithm is a widely used optimization method. Crossover and mutation are two Basicl operators of the genetic algorithm. On the basis of analyzing the principles of simple genetic algorithm and discussing its existing problems of crossover point and mutation bit, this paper presents a way of the adaptive multiple bit mutation genetic algorithm , which not only can keep the population diversity but also has quicker convergence speed. The results of the multi-modal function optimization show that the adaptive multiple bit mutation genetic algorithm is practical and efficient.
%K Adaptive multiple bit mutation genetic algorithm
%K Crossover probability
%K Mutation probability
%K Convergence property<br>自适应多位变异遗传算法
%K 搜索算法
%K 搜索性能
%K 随机数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B6E5A2ECF3F3E936&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=A8DE7703CC9E390F&eid=475189FCB44F11F6&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=7