Open AccessUsing swarm intelligence optimization methods for transport functions of vascular bypasses: first results and perspectives
Author(s) -
Yu. O. Kuyanova,
rey Dubovoy,
D. V. Parshin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1666/1/012061
Subject(s) - shunting , shunt (medical) , swarm intelligence , mathematical optimization , set (abstract data type) , computer science , relation (database) , mathematics , algorithm , cardiology , particle swarm optimization , data mining , surgery , medicine , programming language
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.