2019 journal article

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

ALGORITHMS, 12(6).

By: R. Stefanescu, J. Hite n, J. Cook n, R. Smith n  & J. Mattingly n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: robust design in the average sense; Particle Swarm; radial basis functions; radiation source detection
Source: Web Of Science
Added: July 22, 2019

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 Γ— 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.