%0 Journal Article
%T Structure Learning of BN Based on Improved Genetic Algorithm<br>改进遗传优化的贝叶斯网络结构学习
%A ZHANG Liang
%A ZHANG Jing
%A <br>张亮
%A 章兢
%J 计算机系统应用
%D 2011
%I 
%X An improved genetic algorithm(IGA) is proposed in this paper for structure learning of Bayesian Network(BN).Compared with the traditional GA,two new operators named optimized mutation and illegal figure modification are proposed in the improved GA,which aim to solve the BN structure learning problem.The two new operators can simultaneously maintain the diversity and correctness of BN structure learning as well as the algorithm convergence speed of searching the global optimal network structure.In simulation...
%K Bayesian network
%K structure learning
%K global optimization
%K GA
%K PSO<br>贝叶斯网络
%K 结构学习
%K 全局最优
%K 遗传算法
%K 粒子群算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=C25D2FB4BF875ED11F1B936896BF6369&yid=9377ED8094509821&vid=A04140E723CB732E&iid=9CF7A0430CBB2DFD&sid=68D88C2FCF9C3098&eid=AA76E167F386B6B3&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=12