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-confПоказать полностьюiguring 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