%0 Journal Article
%T Clonal Selection Function Optimization Based on Orthogonal Experiment Design<br>基于正交试验设计的克隆选择函数优化
%A YU Hang
%A JIAO Li-Cheng
%A GONG Mao-Guo
%A YANG Dong-Dong
%A <br>余 航
%A 焦李成
%A 公茂果
%A 杨咚咚
%J 软件学报
%D 2010
%I 
%X This paper presents a clonal selection operation: clonal selection operation based on orthogonal experiment design (CSO-OED). This design is later combined with the typical clonal selection operation and results in two algorithms: CSO+CSO-OED(I) adopting parallel mechanism and CSO+ CSO-OED(II) adopting series mechanism. The validation in 9 classical benchmark functions and 6 complex functions has showed that CSO-OED can not only maintain the diversity of population, but also help avoid premature. Implemented in CSO+CSO-OED(I) and CSO+CSO-OED(II), the strategy that separates the local search and global search can not only guarantee the convergence but also improve the accuracy of global solution and the robustness of the algorithm.
%K artificial immune
%K evolutionary algorithm
%K artificial immune
%K clonal selection algorithm
%K orthogonalexperiment design
%K function optimization<br>人工智能
%K 进化算法
%K 人工免疫
%K 克隆选择算法
%K 正交试验设计
%K 函数优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=C0FBEC5E7467ABCE201D41B14CA16A26&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=114891522AE71A91&eid=F131C0ADC94A25CF&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=32