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

Конференция: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024); Krasnoyarsk; Krasnoyarsk

Год издания: 2025

Идентификатор DOI: 10.1051/itmconf/20257205003

Аннотация: The proposed adaptive genetic algorithm demonstrates competitive performance, occasionally outperforming the standard approach. Although it shows promising adaptability, further refinements in parameter adjustments and hybridization with other evolutionary techniques could enhance its efficiency, making it a more powerful optimizatПоказать полностьюion tool.

Журнал: ITM Web of Conferences

Номера страниц: 5003

Место издания: Krasnoyarsk

• Novikov Zakhar (Siberian Federal University)
• Sopov Evgenii (Reshetnev Siberian State University of Science and Technology)

• РИНЦ (eLIBRARY.RU)