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

TR Number

Date

2019-05-28

Journal Title

Journal ISSN

Volume Title

Publisher

MDPI

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.

Description

Keywords

robust design in the average sense, Particle Swarm, radial basis functions, radiation source detection

Citation

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.