Work

Sequential Designs for Filling Output Spaces

Year: 2023

Type: article

Abstract: Space-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.

Source: Technometrics

DOI: 10.1080/00401706.2023.2231042

Authors: Shangkun Wang, Adam P. Generale, Surya R. Kalidindi, V. Roshan Joseph

Institution: Georgia Institute of Technology

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: National Science Foundation

Award: Integrating Data- and Model-based Methods to Enable Improved Heart Surgery Planning