%0 Journal Article
%T Solving nonlinear equations based on maximum-entropy differential evolution hybrid algorithm<br>基于极大熵差分进化混合算法求解非线性方程组*
%A CHEN Hai-xi
%A YANG Tie-gui
%A <br>陈海霞
%A 杨铁贵
%J 计算机应用研究
%D 2010
%I 
%X To solve nonlinear equations, this paper presented a new method, referred to as maximum-entropy differential evolution hybrid algorithm. First, transformed nonlinear equations problems into non-differentiable optimization, and used the smooth aggregate function to instead of maximum function in non-differentiable optimization problem. Thereupon, the primal problem could be transformed into unconstrained optimization, then used the differential evolution algorithm to solve this problem. Numerical results show that the proposed method is more accurate and effective.
%K differential evolution algorithm
%K nonlinear equations
%K maximum entropy method<br>差分进化算法
%K 非线性方程组
%K 极大熵方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F55F6205E77758CB8BF80C0A0EDA4F2F&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=DE9F9A03FB2549EC&eid=AA2DEEB9912F5067&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12