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METHOD OF OPTIMIZING MULTIPLE PARAMETERS BY HYBRID GA, METHOD OF DATA ANALYSYS BY PATTERN MATCHING, METHOD OF ESTIMATING STRUCTURE OF MATERIALS BASED ON RADIATION DIFFRACTION DATA, PROGRAMS, RECORDING MEDIUM, AND VARIOUS APPARATUS RELATED THERETO
METHOD OF OPTIMIZING MULTIPLE PARAMETERS BY HYBRID GA, METHOD OF DATA ANALYSYS BY PATTERN MATCHING, METHOD OF ESTIMATING STRUCTURE OF MATERIALS BASED ON RADIATION DIFFRACTION DATA, PROGRAMS, RECORDING MEDIUM, AND VARIOUS APPARATUS RELATED THERETO
The present invention provides a Hybrid GA (HGA) in which local optimization operation is performed to only a few individual with lower fitness selected from each population of widely distributed generations in genetic algorithm (GA). Since this HGA shows very powerful global searching ability even in a vast multi-dimensional parameter space with strong multi-peak feature, the present invention may efficiently determine a number of structural parameters from a little information included in X-ray diffraction circles. As a result, the present invention may determine a complicated material structure from powder specimen even though it is hard to make a single crystal specimen. Thus, the development of new materials would be highly accelerated in the field of medicines or materials, etc.
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