Next Article in Journal
Poisson Twister Generator by Cumulative Frequency Technology
Previous Article in Journal
Convolution Accelerator Designs Using Fast Algorithms
Article Menu

Article Versions

Export Article

Open AccessArticle

Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem

1
Global Validation Model Department, Spire Global, Inc., Boulder, CO 80301, USA;
2
Department of Computer Science, Virginia Tech, Blacksburg, VA 24060-0902, USA;
3
Department of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USA
4
Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(6), 113; https://doi.org/10.3390/a12060113
Received: 17 April 2019 / Revised: 20 May 2019 / Accepted: 21 May 2019 / Published: 28 May 2019
PDF [644 KB, uploaded 28 May 2019]
  |  

Abstract

In this paper, we develop and numerically illustrate a robust sensor network design to optimally detect a radiation source in an urban environment. This problem exhibits several challenges: penalty functionals are non-smooth due to the presence of buildings, radiation transport models are often computationally expensive, sensor locations are not limited to a discrete number of points, and source intensity and location responses, based on a fixed number of sensors, are not unique. We consider a radiation source located in a prototypical 250 m × 180 m urban setting. To address the non-smooth properties of the model and computationally expensive simulation codes, we employ a verified surrogate model based on radial basis functions. Using this surrogate, we formulate and solve a robust design problem that is optimal in an average sense for detecting source location and intensity with minimized uncertainty.
Keywords: robust design in the average sense; Particle Swarm; radial basis functions; radiation source detection robust design in the average sense; Particle Swarm; radial basis functions; radiation source detection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ştefănescu, R.; Hite, J.; Cook, J.; Smith, R.C.; Mattingly, J. Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem. Algorithms 2019, 12, 113.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top