@inproceedings{53808e8c75de4d5795cb5aceda400228,
title = "Gradient based criteria for sequential design",
abstract = "Computer simulation experiments are commonly used as an inexpensive alternative to real-world experiments to form a metamodel that approximates the input-output relationship of the real-world experiment. While a user may want to understand the entire response surface, they may also want to focus on interesting regions of the design space, such as where the gradient is large. In this paper we present an algorithm that adaptively runs a simulation experiment that focuses on finding areas of the response surface with a large gradient while also gathering an understanding of the entire surface. We consider the scenario where small batches of points can be run simultaneously, such as with multi-core processors.",
author = "Erickson, {Collin B.} and Ankenman, {Bruce E.} and Matthew Plumlee and Sanchez, {Susan M.}",
note = "Funding Information: This work was supported in part by the Office of the Secretary of Defense, Director of Operational Test and Evaluation (OSD DOT&E) and the Test Resource Management Center (TRMC) within the Science of Test research consortium; the NPS Consortium for Robotics and Unmanned Systems Education and Research (CRUSER), and the NPS Naval Research Program (NRP). Disclaimer: The views expressed in this article are those of the authors and do not reflect the official policy or position of the United States Navy, Department of Defense, or the U.S. Government. Publisher Copyright: {\textcopyright} 2018 IEEE; 2018 Winter Simulation Conference, WSC 2018 ; Conference date: 09-12-2018 Through 12-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/WSC.2018.8632546",
language = "English (US)",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "467--478",
booktitle = "WSC 2018 - 2018 Winter Simulation Conference",
address = "United States",
}