Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data : доклад, тезисы доклада | Научно-инновационный портал СФУ

Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data : доклад, тезисы доклада

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering - MIP: Engineering-2019; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

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.

Ссылки на полный текст

Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 537

Номера страниц: 022002

Издатель: Institute of Physics Publishing

Авторы

  • Zaloga A.N. (Siberian Federal University)
  • Yakimov I.S. (Siberian Federal University)
  • Dubinin P.S. (Siberian Federal University)
  • Burakov S.V. (Reshtnev Siberian State University of Science and Technology)
  • Gusev K.A. (Reshtnev Siberian State University of Science and Technology)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.