%0 Journal Article
%T Novel hybrid response surface optimization method<br>一种新颖的混合响应面优化方法
%A LIN Yu-feng
%A CHEN Jing
%A CHEN Shao-fei
%A JIA Zhi-yong
%A <br>林玉锋
%A 陈璟
%A 陈少飞
%A 贾志勇
%J 计算机应用研究
%D 2012
%I 
%X This paper presented a novel method, called hybrid response surface optimization(HRSO) to reduce the number of evaluations in the process of optimization of black-box functions. The proposed method used hybrid response surface to build high accuracy black-box approximate models as surrogate-models. Then it updated the approximate model by circles of iteration. This paper applied the method on the Dixon-Szego test functions and estimated the performance by the number of function evaluations, when a run satisfied the convergence criteria. The results indicate that HRSO meets the same convergence by less evaluation comparing to Gutmann-RBF and CORS-RBF. And it can converge to global optimum quickly. It is a suitable method for solving expensive black-box problem.
%K black-box function
%K hybrid response surface
%K global optimization
%K symmetric Latin hypercube design<br>黑箱函数
%K 混合响应面
%K 全局优化
%K 对称拉丁超立方设计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=098B0100FA077930AC35C8E009789177&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=9D10F378015F2AC2&eid=C7323805325ABBEB&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11