Using swarm intelligence optimization methods for transport functions of vascular bypasses: first results and perspectives Full article
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9TH INTERNATIONAL CONFERENCE ON LAVRENTYEV READINGS ON MATHEMATICS, MECHANICS AND PHYSICS 07-11 Sep 2020 , Новосибирск |
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Journal of Physics: Conference Series
ISSN: 1742-6588 |
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| Output data | Year: 2020, Volume: 1666, Number: 1, Pages: 012061 Pages count : 1 DOI: 10.1088/1742-6596/1666/1/012061 | ||||
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Abstract:
In this paper, we consider the problem of the optimal location of the bypass graft. An electrical analogue of the cerebral vascular hemodynamic model was built, which was solved numerically using swarm intelligence methods. The optimization objective was the pressure after shunt formation in relation to the set pressure before shunting. This method was first time applied to the cerebral bypass problem, the results are in good agreement with the data of real operations.
Cite:
Kuianova I.
, Dubovoy r.
, Parshin D.
Using swarm intelligence optimization methods for transport functions of vascular bypasses: first results and perspectives
Journal of Physics: Conference Series. 2020. V.1666. N1. P.012061. DOI: 10.1088/1742-6596/1666/1/012061 Scopus РИНЦ OpenAlex
Using swarm intelligence optimization methods for transport functions of vascular bypasses: first results and perspectives
Journal of Physics: Conference Series. 2020. V.1666. N1. P.012061. DOI: 10.1088/1742-6596/1666/1/012061 Scopus РИНЦ OpenAlex
Identifiers:
| Scopus: | 2-s2.0-85097111138 |
| Elibrary: | 45105372 |
| OpenAlex: | W3108846679 |