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: 10.1088/1742-6596/1353/1/012113

Аннотация: The genetic algorithm is one of the most well-known and frequently used global optimization algorithms. The software implementation of the algorithm in many programming languages and the development of various modifications of the selection parameters only encourage authors to analyze the GA parameters and search for their optimal values. Many works are trying to answer the question: What values of input parameters should be used for a greater likelihood of successfully finding the result. However, they only consider a specific set of parameters. This article describes the entire set of GA output parameters and draws up a recommendation for choosing initial values. Favorable sets of parameter values were found. Based on these sets, it is possible to customize them for specific tasks. This study provides an example of using these sets to solve the problem of determining the parameters of a welded beam. The results were obtained corresponding to the best values of similar studies. It is important to note that in solving this problem, an initial set of parameters was already formulated, which facilitated the search for a global minimum. © 2019 Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12113

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Timofeev N.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Peresunko P.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Nekhonoshin S.R. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Kukartsev V.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Tynchenko V.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Mikhalev A.S. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)

• Scopus
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