Zobrazeno 1 - 10
of 308
pro vyhledávání: '"A. Vakhnin"'
Autor:
Vakhnin, Aleksei1 (AUTHOR) aleksei.vakhnin@uef.fi, Ryzhikov, Ivan1 (AUTHOR), Brester, Christina1 (AUTHOR), Niska, Harri1 (AUTHOR), Kolehmainen, Mikko1 (AUTHOR)
Publikováno v:
Energies (19961073). Jun2024, Vol. 17 Issue 12, p2840. 31p.
Publikováno v:
Energies, Vol 17, Iss 12, p 2840 (2024)
Accurate prediction of energy consumption in district heating systems plays an important role in supporting effective and clean energy production and distribution in dense urban areas. Predictive models are needed for flexible and cost-effective oper
Externí odkaz:
https://doaj.org/article/f0d3c1950b0b481086951bbf344f94d9
Autor:
Vakhnin Aleksei, Novikov Zakhar
Publikováno v:
ITM Web of Conferences, Vol 59, p 02022 (2024)
Solving constrained large-scale global optimization problems poses a challenging task. In these problems with constraints, when the number of variables is measured in the thousands, when the constraints are presented in the form of a black box, and n
Externí odkaz:
https://doaj.org/article/114ff8a0377340829c0a9abeec25a59f
Autor:
Novikov Zakhar, Vakhnin Aleksei
Publikováno v:
ITM Web of Conferences, Vol 59, p 02021 (2024)
In this study to solve optimization problem, three differential evolution algorithms are tested on various functions, highlighting its parameter sensitivity. To overcome this, a self-configuring algorithm is introduced, which core idea is to periodic
Externí odkaz:
https://doaj.org/article/8b373b945aa84e1784b7477e40321ea3
Publikováno v:
Высшее образование в России, Vol 30, Iss 4, Pp 112-119 (2021)
The article presents the results of the longitudinal study, which was conducted during the years 2018 and 2019 and aimed to identify changes in the assessment of certain socio-economic and psychological aspects of working and living in the Arctic by
Externí odkaz:
https://doaj.org/article/2f7da78825ef412dac9e3d2b242acb45
Akademický článek
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Akademický článek
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Autor:
Vakhnin, Aleksei1 (AUTHOR) alexeyvah@gmail.com, Sopov, Evgenii1,2 (AUTHOR)
Publikováno v:
Algorithms. Dec2022, Vol. 15 Issue 12, p451. 20p.
Autor:
Aleksei Vakhnin, Evgenii Sopov
Publikováno v:
Algorithms, Vol 15, Iss 12, p 451 (2022)
Unconstrained continuous large-scale global optimization (LSGO) is still a challenging task for a wide range of modern metaheuristic approaches. A cooperative coevolution approach is a good tool for increasing the performance of an evolutionary algor
Externí odkaz:
https://doaj.org/article/cd7408b1d0864d12838297c1afe5cc57
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4297 (2022)
Modern computational mathematics and informatics for Digital Environments deal with the high dimensionality when designing and optimizing models for various real-world phenomena. Large-scale global black-box optimization (LSGO) is still a hard proble
Externí odkaz:
https://doaj.org/article/0d53994121c34f0eae10946c87820f99