Genetic Algorithms and Vascular Graft Optimization

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Catarina F. Castro (Author) FEUP; Carlos C. António (Author) FEUP; Luísa C. Sousa (Author) FEUP

Conference proceedings International

Title: EngOpt 2012 - 3rd International Conference on Engineering Optimization

Initial page: 17

EngOpt 2012 - 3rd International Conference on Engineering Optimization

Rio de Janeiro, Brazil, July 1-5, 2012

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences

Other information

Abstract (EN): The optimization of graft and anastomotic configurations with regard to blood dynamics is the major target of this study. 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 algorithm 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 within a family of design points reached at the end of the optimization process.

Language: English

Type (Professor's evaluation): Scientific

Notes: Session on "Bio-inspired and Heuristic Optimization", Livro de resumos: pp.17, CD-ROM: paper ref 152 com 9 páginas

No. of pages: 9