| Issue |
EPJ Web of Conferences
Volume 108, 2016
Mathematical Modeling and Computational Physics (MMCP 2015)
|
|
|---|---|---|
| Article Number | 02047 | |
| Number of page(s) | 6 | |
| Section | Conference Contributions | |
| DOI | https://doi.org/10.1051/epjconf/201610802047 | |
| Published online | 09 February 2016 | |
https://doi.org/10.1051/epjconf/201610802047
The Parallel Asynchronous Differential Evolution Method as a Tool to Analyze Synchrotron Scattering Experimental Data from Vesicular Systems*
1 Joint Institute for Nuclear Research, Joliot-Curie 6, 141980, Dubna, Russia
2 Dubna State University, University str. 19, 141980, Dubna, Russia
3 National Research Center «Kurchatov Institute», Moscow, Russia
a e-mail: Evgeniya.Zhabitskaya@jinr.ru
Published online: 9 February 2016
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.
© Owned by the authors, published by EDP Sciences, 2016
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