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

Journal Article · · Optimization and Engineering
 [1];  [1]
  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.

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, Journal Name: Optimization and Engineering Journal Issue: 1 Vol. 17; ISSN 1389-4420
Country of Publication:
United States
Language:
English

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