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Author(s): Catarina F. Castro
Carlos C. António
Luísa C. Sousa
Title: Genetic Algorithms and Vascular Graft Optimization
Issue Date: 2012
Abstract: The optimization of graft and anastomotic configurations with regard to blood dynamics is the major target of this study. Adeveloped multi-objective genetic algorithm is considered in order to reach optimal graft geometries for idealized arterial bypasssystems of fully occluded host arteries. An artificial neural network simulating hemodynamic specific conditions is introduced inorder to reduce the genetic algorithm computational time. Input data values are constrained within pre-defined boundaries for graftgeometric parameters and the correspondent target values are solutions for blood velocity and shear stress functions calculated with afinite element simulator. Optimal solutions are within a family of design points reached at the end of the optimization process.
Subject: Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
Scientific areas: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
Source: EngOpt 2012 - 3rd International Conference on Engineering Optimization
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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