In this paper an innovative balloon-stent design method, which conjugates 3D finite-element approach, is presented. The method is based on a large strain and large displacement formulation, with multi-objective optimization using Genetic Algorithm (GA). This procedure allows us to automatically obtain new geometries that improve stent performance and to analyze the relationship between geometrical parameters and objectives.
Multiobjective Optimizations of Intracoronary Stents by Genetic Algorithm / Sciuto, Giacomo; Muscia, Roberto. - ELETTRONICO. - (2009), pp. 597-600. ( Trends in the Development of Machinery and Associated Technology - TMT2009 - Year 13 Hammamet, Tunisia 16-21 October 2009).
Multiobjective Optimizations of Intracoronary Stents by Genetic Algorithm
SCIUTO, GIACOMO;MUSCIA, ROBERTO
2009-01-01
Abstract
In this paper an innovative balloon-stent design method, which conjugates 3D finite-element approach, is presented. The method is based on a large strain and large displacement formulation, with multi-objective optimization using Genetic Algorithm (GA). This procedure allows us to automatically obtain new geometries that improve stent performance and to analyze the relationship between geometrical parameters and objectives.Pubblicazioni consigliate
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