Using a derivative-free optimization method for multiple solutions of inverse transport problems

Armstrong, Jerawan C.; Favorite, Jeffrey A.

doi:10.1007/s11081-015-9306-x

Title: Using a derivative-free optimization method for multiple solutions of inverse transport problems

Journal Article · Thu Jan 14 00:00:00 EST 2016 · Optimization and Engineering

DOI:https://doi.org/10.1007/s11081-015-9306-x· OSTI ID:1247138

Armstrong, Jerawan C. ^[1]; Favorite, Jeffrey A. ^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Identifying unknown components of an object that emits radiation is an important problem for national and global security. Radiation signatures measured from an object of interest can be used to infer object parameter values that are not known. This problem is called an inverse transport problem. An inverse transport problem may have multiple solutions and the most widely used approach for its solution is an iterative optimization method. This paper proposes a stochastic derivative-free global optimization algorithm to find multiple solutions of inverse transport problems. The algorithm is an extension of a multilevel single linkage (MLSL) method where a mesh adaptive direct search (MADS) algorithm is incorporated into the local phase. Furthermore, numerical test cases using uncollided fluxes of discrete gamma-ray lines are presented to show the performance of this new algorithm.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1247138

Report Number(s):: LA-UR-14-29126; PII: 9306

Journal Information:: Optimization and Engineering, Vol. 17, Issue 1; ISSN 1389-4420

Country of Publication:: United States

Language:: English

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Cited by: 2 works

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42 ENGINEERING
97 MATHEMATICS AND COMPUTING
inverse transport problem
derivative-free optimization
stochastic global optimization
multilevel single linkage
mesh adaptive direct search

Title: Using a derivative-free optimization method for multiple solutions of inverse transport problems

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References (22)

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