Сибирский федеральный университет

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

Конференция: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023); Krasnoyarsk; Krasnoyarsk

Год издания: 2024

Идентификатор DOI: 10.1051/itmconf/20245902021

Аннотация: In this study to solve optimization problem, three differential evolution algorithms are tested on various functions, highlighting its parameter sensitivity. To overcome this, a self-configuring algorithm is introduced, which core idea is to periodically reevaluate configurations, favoring those with superior performance. Self-configuring algorithms in most cases outperform or match conventional methods, enhancing the likelihood of achieving superior results.

Журнал: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023)

Номера страниц: 2021

Место издания: Krasnoyarsk

• Novikov Zakhar (Siberian Federal University, Institute of Space and Information Technology)
• Vakhnin Aleksei (Reshetnev Siberian State University of Science and Technology, Institute of Informatics and Telecommunications)

• РИНЦ (eLIBRARY.RU)