Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/101501
Author(s): Catarina Ferreira Castro
Carlos Alberto Conceição António
Luísa Costa Sousa
Title: Multi-objective Optimization of Graft Configuration using Genetic Algorithms and Artificial Neural Network
Issue Date: 2016
Abstract: Optimization of graft geometric configuration with regard to blood dynamics is the major target ofthis research. A developed multi-objective genetic algorithm is considered in order to reach optimal graftgeometries for idealized arterial bypass systems of fully occluded host arteries. An artificial neural networksimulating hemodynamic specific conditions is introduced in order to reduce the genetic search computationaltime. Input data values are constrained within pre-defined boundaries for graft geometric parameters and thecorrespondent target values are solutions for blood velocity and shear stress functions calculated with a finiteelement simulator. Optimal solutions are presented as Pareto fronts covering a range of best possible solutions.
Subject: Ciências da Saúde, Ciências Tecnológicas, Ciências da engenharia e tecnologias
Health sciences, Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://hdl.handle.net/10216/101501
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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