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

Конференция: International Conference on Metaheuristics and Nature Inspired Computing (META); Marrakech, MOROCCO; Marrakech, MOROCCO

Год издания: 2022

Идентификатор DOI: 10.1007/978-3-030-94216-8_9

Аннотация: The area of heuristic optimization methods, which includes evolutionary algorithms and biology-inspired methods, is currently under rapid development of due to the high efficiency of such approaches in various domains and availability of large computational resources. © 2022, Springer Nature Switzerland AG.

Журнал: METAHEURISTICS AND NATURE INSPIRED COMPUTING, META 2021

Выпуск журнала: Vol. 1541

Номера страниц: 106-123

ISSN журнала: 18650929

Место издания: CHAM

Издатель: SPRINGER INTERNATIONAL PUBLISHING AG

• Stanovov Vladimir (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
• Akhmedova Shakhnaz (Reshetnev Siberian State Univ Sci & Technol, 31 Krasnoyarsky Rabochy Pr, Krasnoyarsk 660037, Russia)
• Semenkin Eugene (Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)

• Web of Science Core Collection
• Scopus
• Ядро РИНЦ (eLIBRARY.RU)