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Method of determining parameters of a sample by X-ray scattering applying an extended genetic algorithm with truncated use of the mutation operator

机译:使用扩展的遗传算法通过X射线散射确定样品参数的方法,该方法采用了突变算子的截短使用

摘要

A method of determining parameters of a sample by X-ray scattering comprising the steps of exposing the sample to X-rays and measuring scattered X-ray intensity, generating a parameterized model of the sample which is used for numerical simulation of scattered X-ray intensity on the basis of a physical scattering theory, comparing the experimental and simulated X-ray scattering data to generate an error value and modifying the parameters of the model by means of a genetic algorithm involving an amount of individuals each with an equal number N of encoded parameters forming a generation and applying the genetic operators of “selection”, “crossover” and “mutation” used for composing successive generations of evolving individuals, is characterized in that after a given number k of successive generations the genetic operator of “mutation” is no longer applied in evolution of further generations. The inventive method improves the genetic algorithm such that it can approximate the true sample parameters faster and with a higher accuracy.
机译:一种通过X射线散射确定样品参数的方法,该方法包括以下步骤:将样品暴露于X射线并测量散射的X射线强度;生成样品的参数化模型,该模型用于散射X射线的数值模拟基于物理散射理论的强度,比较实验和模拟X射线散射数据以产生误差值,并通过遗传算法修改模型的参数,该遗传算法涉及一定数量的个体,每个个体具有相等的N个数编码参数形成一个世代并应用“选择”,“交叉”和“变异”的遗传算子,这些遗传算子用于构成进化个体的连续世代,其特征在于,在给定数目的连续几代后,“变异”的遗传算子不再应用于下一代。本发明的方法改进了遗传算法,使得它可以更快地并且以更高的精度近似真实样本参数。

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