Performance analysis of de mutation schemes for constrained LSGO problems

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

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/3/033111

Аннотация: Differential Evolution (DE) is one of the most popular evolution algorithms (EAs) for numerical optimization problems with various difficulty levels. Mutation scheme makes a strong influence in DE performance. It produces new trial vectors based on the current population to improve the previous best-found solution. In this paper, we have analyzed the performance of a wide range of various mutation schemes for early proposed ϵ-CC-SHADE algorithm. We have used scaled benchmark set of constrained large-scale global optimization (cLSGO) problems to investigate ϵ-CC-SHADE performance. The new benchmark set is based on IEEE CEC 2017 Competition on Constrained Real-Parameter Optimization. The experimental results have shown the dependence of EA performance on the selected mutation scheme for solving optimization problems with high dimension. Based on the numerical results, we have made conclusions for choosing mutation scheme to increase DE performance for cLSGO. © Published under licence by IOP Publishing Ltd.

Ссылки на полный текст

Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 3

Номера страниц: 33111

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Vakhnin A. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Sopov E. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation)
  • Kustov D. (Siberian Federal University, 79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation)
  • Panfilov I. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.