首页> 外国专利> Program as well as the associated estimation method, the substance structure based optimization method of multiple parameters by the hybrid GA, data analysis method by pattern matching, the radiation diffraction data, various devices and recording media

Program as well as the associated estimation method, the substance structure based optimization method of multiple parameters by the hybrid GA, data analysis method by pattern matching, the radiation diffraction data, various devices and recording media

机译:程序以及相关的估计方法,基于混合结构遗传算法的多参数基于物质结构的优化方法,基于模式匹配的数据分析方法,辐射衍射数据,各种设备和记录介质

摘要

Genetic algorithm in (GA), hybrid GA for performing a local optimization operation only to individuals only a small number of relatively low fitness in the generation of many widely distributed core of the present invention is a (HGA). And from exhibits very strong regional searching ability in multi-dimensional parameter space strong multimodal, in accordance with the present invention, the HGA is efficient structural parameters many even from slight information contained in the X-ray diffraction ring I can be determined well. As a result, it becomes possible to determine the complex structure material from a powder sample without a single crystal, the development of new materials is accelerated in many fields such as materials and pharmaceuticals.
机译:在(GA)的遗传算法中,用于仅对个体执行局部最优化操作的混合GA仅针对少数几个相对较低的适应性而在本发明的许多广泛分布的核心中是(HGA)。并且根据本发明,从在多维参数空间强多峰中表现出非常强的区域搜索能力,HGA是有效的结构参数,即使从X射线衍射环I中包含的少量信息也可以很好地确定HGA。结果,可以从没有单晶的粉末样品中确定复杂结构的材料,在诸如材料和制药等许多领域中,新材料的开发得到了加速。

著录项

  • 公开/公告号JPWO2007066787A1

    专利类型

  • 公开/公告日2009-05-21

    原文格式PDF

  • 申请/专利权人 国立大学法人名古屋大学;

    申请/专利号JP20070549201

  • 发明设计人 坂田 誠;西堀 英治;

    申请日2006-12-04

  • 分类号G06N3;G01N23/207;

  • 国家 JP

  • 入库时间 2022-08-21 19:37:27

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