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 of this research. A developed multi-objective genetic algorithm is considered in order to reach optimal graft geometries for idealized arterial bypass systems of fully occluded host arteries. An artificial neural network simulating hemodynamic specific conditions is introduced in order to reduce the genetic search computational time. Input data values are constrained within pre-defined boundaries for graft geometric parameters and the correspondent target values are solutions for blood velocity and shear stress functions calculated with a finite element 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 |
Files in This Item:
File | Description | Size | Format | |
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117483.pdf Restricted Access | Full paper | 843.57 kB | Adobe PDF | Request a copy from the Author(s) |
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