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The Parallel Asynchronous Differential Evolution Method as a Tool to Analyze Synchrotron Scattering Experimental Data from Vesicular Systems

机译:并行异步差分演进方法作为分析Synchrotron散射实验数据的工具,从浆果系统中

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In this work we use an Asynchronous Differential Evolution (ADE) method to estimate parameters of the Separated Form Factor (SFF) model which is used to investigate a structure of drug delivery Phospholipid Transport Nano System (PTNS) unilamellar vesicles by experimental small angle synchrotron X-ray scattering spectra (SAXS). We compare the efficiency of different optimizing procedures (OP) for the search for the SFF-model parameters. It is shown that the probability to find the global solution of this problem by ADE-methods is significantly higher than that by either Nelder-Mead method or a Quasi-Newton method with Davidon-Fletcher-Powell formula. The parallel realization of ADE accelerates the calculations significantly. The speed-up obtained by the parallel realization of ADE and results of the model are presented.
机译:在这项工作中,我们使用异步差分演进(ADE)方法来估计分离形状因子(SFF)模型的参数,用于通过实验小角度同步X探测药物递送磷脂运输纳米系统(PTNS)Unilamellar囊泡的结构 - 射线散射光谱(萨克斯)。我们比较不同优化程序(OP)的效率来搜索SFF模型参数。结果表明,通过NELDER-MED方法或具有DAVIDON-FLETCHER-POWELL公式的NELDER-MED方法或准牛顿方法的概率显着高于近距离方法的概率。 Ade的平行实现显着加速了计算。提出了通过平行实现ADE和模型的结果获得的速度。

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