Maximum projection designs for computer experiments 论文

2015Biometrika引用 317
Advanced Multi-Objective Optimization AlgorithmsOptimal Experimental Design MethodsManufacturing Process and Optimization

详细信息

发表期刊/会议
Biometrika
发表日期
2015-03-18
发表年份
2015

关键词

Advanced Multi-Objective Optimization AlgorithmsOptimal Experimental Design MethodsManufacturing Process and Optimization

摘要

Space-filling properties are important in designing computer experiments. The traditional maximin and minimax distance designs consider only space-filling in the full-dimensional space; this can result in poor projections onto lower-dimensional spaces, which is undesirable when only a few factors are active. Restricting maximin distance design to the class of Latin hypercubes can improve one-dimensional projections but cannot guarantee good space-filling properties in larger subspaces. We propose designs that maximize space-filling properties on projections to all subsets of factors. We call our designs maximum projection designs. Our design criterion can be computed at no more cost than a design criterion that ignores projection properties.