Sequential Designs for Filling Output Spaces

AbstractSpace-filling designs are commonly used in computer experiments to fill the space of inputs so that the input–output relationship can be accurately estimated. However, in certain applications such as inverse design or feature-based modeling, the aim is to fill the response or feature space. In this article, we propose a new experimental design framework that aims to sequentially fill the space of the outputs (responses or features). Several examples are given to show the advantages of the proposed method over the traditional input space-filling designs.KEYWORDS: Expected improvementExperimental designInverse designMinimax designSpace-filling design Supplementary MaterialsAlgorithms and additional results: The statements of Algorithms 1–5 are given in the file appendix.pdf along with some additional results.Codes: The R codes to reproduce Figure 7 and an R Markdown tutorial are included in a zip file. The implementation of the algorithms is available in the R package OSFD (Wang and Joseph Citation2023).Disclosure StatementThe authors report there are no competing interests to declare.Additional informationFundingThis research is supported by a U.S. National Science Foundation grant CMMI-1921646.