An Evolutionary Algorithm for Spatial Discretization Optimization
A novel evolutionary algorithm for spatial discretization meshing using a Cartesian grid for radiation transport simulations is proposed. The generated Cartesian grid is used by ADVANTG to generate weight windows for MCNP. The algorithm was tested on the Ueki-35 benchmark and obtained a figure of merit 2.68, 3.39, and 2.25 times higher in the average, best, and worst cases respectively than the reference mesh provided with ADVANTG for the benchmark. The algorithm produced counter-intuitive solutions from a neutron shielding perspective that outperformed the reference mesh in all 15 trials. Additionally, the algorithm revealed that from the adjoint perspective, accurate geometric representation of the polyethylene collimator was more significant that then shield itself when generating optimal weight windows.
E. T. Norris and X. Liu, "An Evolutionary Algorithm for Spatial Discretization Optimization," Progress in Nuclear Energy, vol. 97, pp. 220-230, Elsevier, May 2017.
The definitive version is available at https://doi.org/10.1016/j.pnucene.2017.01.012
Nuclear Engineering and Radiation Science
Keywords and Phrases
Mesh generation; Optimization; ADVANTG; Co-evolution; MCNP; Mesh; Spatial discretizations; Evolutionary algorithms; Figure of merit
International Standard Serial Number (ISSN)
Article - Journal
© 2017 Elsevier, All rights reserved.
01 May 2017