Abstract
A method of quantitative X-ray phase analysis (QXPA) based on multiobjective evolutionary optimization for automatization and increase in accuracy of QXPA that is based on full-profile analysis by the Rietveld method is proposed. The two-level genetic algorithm performs the probabilistic evolution of profile and structural parameters by the criterion of minimization of the profile R factor and controls their refinement by the method of full-profile difference-differential analysis (a version of the Rietveld method). The method of evolutional QXPA is discussed by an example of a test mixture of minerals that was used in Round Robin on QPA CPD IUCr.
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