%0 Journal Article
%T Discrete Differential Evolution with Learning Mechanism<br>具有学习机制的离散差分演化算法
%A ZHOU Ya-lan
%A ZHU Yao-hui
%A ZHANG Jun
%A <br>周雅兰
%A 朱耀辉
%A 张军
%J 计算机科学
%D 2011
%I 
%X How to apply differential evolution to discrete field is currently a hot research problem in this area. Estimation of distribution algorithms build a probability model which characterizes the distribution of the current promising solutions in the search space and generates new solutions according to the model. Using the global learning of estimation of distribution algorithms, a discrete differential evolution with learning mechanism was proposed for multidimensional knack problem. Simulation results show that the proposed algorithm has good performance.
%K Discrete differential evolution
%K Learning mechanism
%K Estimation of distribution algorithm
%K Multidimensional knack problem<br>离散差分演化算法，学习机制，分布估计算法，多维背包问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A02D22894B674714247B11CA62B8C961&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=DF92D298D3FF1E6E&sid=4966445AEEBA9556&eid=0DEB7A8A66C33AAD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=22