Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data
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URI (для ссылок/цитирований):
https://iopscience.iop.org/article/10.1088/1757-899X/537/2/022002https://elib.sfu-kras.ru/handle/2311/128996
Автор:
Aleksandr, N Zaloga
Sergey, V Burakov
Igor, S Yakimov
Konstantin, A Gusev
Petr, S Dubinin
Коллективный автор:
Институт цветных металлов и материаловедения
Кафедра композиционных материалов и физико-химии металлургических процессов
Дата:
2019-06Журнал:
IOP Conf. Series: Materials Science and EngineeringКвартиль журнала в Scopus:
без квартиляБиблиографическое описание:
Aleksandr, N Zaloga. Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data [Текст] / N Zaloga Aleksandr, V Burakov Sergey, S Yakimov Igor, A Gusev Konstantin, S Dubinin Petr // IOP Conf. Series: Materials Science and Engineering. — 2019. — Т. 537 (№ 2).Аннотация:
In this paper, we consider the problem of the study of polycrystalline substances:
restoration of a substance atomic structure by full-profile analysis of powder diffraction data.
This task is specific since it is not necessary to find very good solutions on average, but it is
necessary to find the best one at least sometimes. To solve this problem, it is proposed to use an
evolutionary algorithm based on the cooperative island model. The article describes the main
stages and features of the algorithm and notes the qualitative advantages of this model in
comparison with other methods (including evolutionary). The description of innovations
proposed and the results of computational experiments are given. Conclusions from the
experimental results are given, and further prospects for improving the efficiency of this method
were noted.