首页> 外国专利> 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

机译:混合遗传算法优化多个参数的方法,图案匹配的数据分析方法,基于辐射衍射数据的材料结构估算方法,程序,记录介质以及与之相关的各种仪器

摘要

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.
机译:本发明提供了一种混合遗传算法(HGA),其中仅对从遗传算法(GA)中广泛分布的世代的每个种群中选择的少数具有较低适应性的个体执行局部优化操作。由于该HGA即使在具有强多峰特征的广阔的多维参数空间中也显示出非常强大的全局搜索能力,因此本发明可以从包括在X射线衍射圆中的少量信息来有效地确定多个结构参数。结果,即使难以制成单晶试样,本发明也可以从粉末试样确定复杂的材料结构。因此,在药物或材料等领域中,新材料的开发将大大加速。

著录项

  • 公开/公告号US2009210366A1

    专利类型

  • 公开/公告日2009-08-20

    原文格式PDF

  • 申请/专利权人 MAKOTO SAKATA;EIJI NISHIBORI;

    申请/专利号US20060096256

  • 发明设计人 MAKOTO SAKATA;EIJI NISHIBORI;

    申请日2006-12-04

  • 分类号G06N3/12;

  • 国家 US

  • 入库时间 2022-08-21 19:36:33

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