A problem decomposition approach for large-scale global optimization problems

Описание

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

Конференция: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering; Krasnoyarsk; Krasnoyarsk

Год издания: 2019

Идентификатор DOI: 10.1088/1757-899X/537/5/052031

Аннотация: In fact, many modern real-world optimization problems have the great number of variables (more than 1000), which values should be optimized. These problems have been titled as large-scale global optimization (LSGO) problems. Typical LSGO problems can be f

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: Vol. 537, Is. 5

ISSN журнала: 17578981

Издатель: Institute of Physics Publishing

Авторы

  • Vakhnin A.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy Rabochiy av. 31, Krasnoyarsk, 660037, Russian Federation)
  • Sopov E.A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy Rabochiy av. 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Panfilov I.A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy Rabochiy av. 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Polyakova A.S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarskiy Rabochiy av. 31, Krasnoyarsk, 660037, Russian Federation)
  • Kustov D.V. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

Вхождение в базы данных

  • Scopus