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

Конференция: International Joint Conference on Computational Intelligence (IJCCI); Vienna, AUSTRIA; Vienna, AUSTRIA

Год издания: 2019

Идентификатор DOI: 10.5220/0008163600930100

Ключевые слова: Differential Evolution; Optimization; Parameter Control; Metaheuristic

Аннотация: The Differential Evolution (DE) is a highly competitive numerical optimization algorithm, with a small number of control parameters. However, it is highly sensitive to the setting of these parameters, which inspired many researchers to develop adaptation

Журнал: IJCCI: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE

Номера страниц: 93-100

Место издания: SETUBAL

Издатель: SCITEPRESS

• Stanovov Vladimir (Reshetnev Siberian State Univ, Krasnoyarskii Rabochii Ave 31, Krasnoyarsk 660037, Russia; Siberian Fed Univ, Inst Math & Comp Sci, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
• Akhmedova Shakhnaz (Reshetnev Siberian State Univ, Krasnoyarskii Rabochii Ave 31, Krasnoyarsk 660037, Russia)
• Semenkin Eugene (Siberian Fed Univ, Inst Math & Comp Sci, 79 Svobodny Pr, Krasnoyarsk 660041, Russia)
• Semenkina Mariia (Univ Appl Sci Upper Austria, Heurist & Evolutionary Algorithms Lab HEAL, Softwarepk 11, A-4232 Hagenberg, Austria)

• Web of Science Core Collection