Multi-criteria search and optimization: an application to X-ray plasma spectroscopy

X-ray spectroscopy diagnostics have been widely used as a standard technique to determine the temperature and density of astrophysical and laboratory plasmas. Traditional techniques have relied on performing an interactive search with a graphical user interface to select theoretical model parameters...

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Bibliographic Details
Published in2000 Congress on Evolutionary Computation Vol. 2; pp. 1521 - 1527 vol.2
Main Authors Golovkin, I.E., Mancini, R.C., Louis, S.J., Lee, R.W., Klein, L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Genetic algorithms
Hydrodynamics
Laboratories
Physics
Plasma applications
Plasma density
Plasma temperature
Plasma x-ray sources
Spectroscopy
X-ray imaging
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ISBN9780780363755
0780363752
DOI10.1109/CEC.2000.870834

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Summary:X-ray spectroscopy diagnostics have been widely used as a standard technique to determine the temperature and density of astrophysical and laboratory plasmas. Traditional techniques have relied on performing an interactive search with a graphical user interface to select theoretical model parameters that best fit the data. We use a Pareto optimal genetic algorithm to drive a search of model parameters that produce high-quality simultaneous fits of spectra and spatially-resolved emissivity profiles. Preliminary results indicate that our Pareto optimal genetic algorithm is able to quickly find physically meaningful solutions.
ISBN:9780780363755
0780363752
DOI:10.1109/CEC.2000.870834