Сибирский федеральный университет

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

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012105

Аннотация: The purpose of this work is to summarize the results of research concerning the application of genetic algorithms, since in solving problems of complex systems optimization situations often make it difficult or impossible to use classical methods. To solve this problem, research is carried out on the functions of Akli, Rastrigin, Shekel, complaints handling functions and Rosenbrock functions. The studies are conducted on three starting point scattering algorithms: LPτ sequence, UDC sequences and universal random variation. As a result of the analysis, the option of initialization, selection, recombination, mutation and coding of this algorithm according to given test functions for the data of the scatter of initial points is chosen. The effective parameters of the genetic algorithm according to the results of research are established. © 2019 Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12105

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Pavlenko A.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Mikhalev A.S. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Chzhan E.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Lozitskaya E.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)