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基于改进ILS算法的多目标优化试验设计 被引量：1

Experimental Design of Multi-objective Optimization Based on Modified ILS Algorithm
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摘要 现有的拉丁超立方设计优化大多以正交属性度量或均匀属性度量为单一优化准则,针对该单一优化准则存在的缺陷,提出一种基于改进ILS算法的多目标优化试验设计方法,对拉丁超立方设计的均匀属性和正交属性同时进行优化,并与已有的几种典型试验设计方法进行对比。实验结果证明了该方法的优良特性。 The majority of current Latin hypercube design optimization employs the orthogonal property or homogeneous property measurement as the single optimization criterion.An experimental design method of multi-objective optimization based on modified ILS algorithm is presented to cover the shortage of single optimization criterion.The orthogonal property and homogeneous property of Latin hypercube design are optimized at the same time,and in comparison with several typical experimental design methods,its superiority is exemplified.
作者 张昆仑 郭波
机构地区 国防科学技术大学信息系统与管理学院系统工程系
出处 《计算机工程》 CAS CSCD 北大核心 2011年第5期273-275,共3页 Computer Engineering
基金 国家部委基金资助项目
关键词 多目标优化 改进ILS算法 拉丁超立方设计 multi-objective optimization modified ILS algorithm Latin hypercube design
分类号 TP39 [自动化与计算机技术—计算机应用技术]
作者简介 作者简介：张昆仑（1982-），男，博士研究生，主研方向：复杂系统分析与建模；E—mail：zhangkunlun@nudt．edu．cn. 郭波，教授
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计算机工程
2011年 第5期

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