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

Конференция: International Conference on Information Technologies, InfoTech 2021

Год издания: 2021

Идентификатор DOI: 10.1109/InfoTech52438.2021.9548643

Ключевые слова: differential evolution, genetic programming, hybrid evolutionary approach, identification, self-configuration

Аннотация: Evolutionary algorithms are effective tools for solving different problems such as mathematical modelling. The paper proposes an evolutionary approach to the identification of dynamic systems. It combines a genetic programming algorithm and a differential

Журнал: 2021 35th International Conference on Information Technologies, InfoTech 2021 - Proceedings

Издатель: Institute of Electrical and Electronics Engineers Inc.

• Karaseva T. (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science, Department of System Analysis and Operations Research, Krasnoyarsky Rabochy Av., 31, Krasnoyarsk, Russian Federation, Department of Business Inf)
• Semenkin E. (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science, Department of System Analysis and Operations Research, Krasnoyarsky Rabochy Av., 31, Krasnoyarsk, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)