Zobrazeno 1 - 10
of 55
pro vyhledávání: '"S.V. Konstantinov"'
Publikováno v:
Амурский зоологический журнал, Vol 7, Iss 1 (2015)
В 2014 г. на территории Норского государственного природного заповедника впервые были отловлены особи A. fortis.
Externí odkaz:
https://doaj.org/article/6bd0b4c4dbde4cd7a9f9b9f277390b82
Autor:
F.F. Komarov, S.V. Konstantinov, J. Żuk, A. Droździel, K. Pyszniak, I.V. Chizhov, V.A. Zaikov
Publikováno v:
Acta Physica Polonica A. 142:690-696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d5add44b57961e32ca107a36fe54da
https://doi.org/10.12693/aphyspola.142.690
https://doi.org/10.12693/aphyspola.142.690
A Novel Hybrid Method of Global Optimization Based on the Grey Wolf Optimizer and the Bees Algorithm
Publikováno v:
Procedia Computer Science. 150:471-477
A new hybrid evolutionary algorithm based on the Grey wolf optimizer and the Bees algorithm is proposed. Embedded hybridization allows combining the strengths of original methods. A comparative analysis of the new hybrid method is performed on benchm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948884ffb86c728449b04e6c27819be4
https://doi.org/10.1016/j.procs.2019.02.081
https://doi.org/10.1016/j.procs.2019.02.081
Publikováno v:
Procedia Computer Science. 150:462-470
An experimental comparison of evolutionary algorithms and random search algorithms for the optimal control problem is carried out. The problem is solved separately by several representatives of each type of algorithms. The simulation is performed on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db81b43fd3fbc570bddbd4ec9bcb3718
https://doi.org/10.1016/j.procs.2019.02.080
https://doi.org/10.1016/j.procs.2019.02.080
Autor:
Askhat Diveev, S.V. Konstantinov
Publikováno v:
CoDIT
The paper considers the solution of the problem of optimal control system synthesis. It is proposed to solve this problem based on the approximation of the set of optimal trajectories using symbolic regression methods. At the first step the optimal c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e79c6455e2cd1d9d3cc69017444e2817
https://doi.org/10.1109/codit49905.2020.9263915
https://doi.org/10.1109/codit49905.2020.9263915
Akademický článek
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Akademický článek
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Autor:
S.V. Konstantinov, A.A. Baryshnikov
Publikováno v:
Procedia Computer Science. 103:100-107
Six modern and promising evolutionary algorithms are described: genetic algorithm, differential evolution method, variational genetic algorithm, particle swarm optimization algorithm, bat-inspired method and firefly algorithm. For all algorithms brie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa145dd098a650525848844e6a19b4d
https://doi.org/10.1016/j.procs.2017.01.021
https://doi.org/10.1016/j.procs.2017.01.021
Publikováno v:
Surface and Coatings Technology. 386:125493
The radiation tolerance of TiAlN coatings under irradiation with 200 keV Ar+ ions is studied at room temperature. The ion fluence varied in the range of 1·1016–2·1017 ions/cm2. The TiAlN coatings were deposited by reactive magnetron sputtering on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f632beee0f5363b771b3b59a0d479463
https://doi.org/10.1016/j.surfcoat.2020.125493
https://doi.org/10.1016/j.surfcoat.2020.125493
Publikováno v:
CoDIT
An experimental comparison of evolutionary algorithms and gradient-based methods for the optimal control problem is carried out. The problem is solved separately by Particle swarm optimization, Grey wolf optimizer, Fast gradient descent method, Marqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9db2c4592e8b2ad72d5281f6668a90e
https://doi.org/10.1109/codit.2018.8394805
https://doi.org/10.1109/codit.2018.8394805