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Parallel implementation of niched Pareto genetic algorithm code for X-ray plasma spectroscopy

We use a Pareto optimal genetic algorithm to determine plasma temperature and density through X-ray spectroscopic diagnostics. Pareto selection provides better solutions compared with linear combinations of the two optimization criteria. Parallelizing the genetic algorithm achieves linear speed-up and allows larger populations resulting in improved reliability in reasonable running time.