Abstract
This paper presents an optimisation process for finding improved cardiovascular stent design using Genetic Algorithms. An optimisation criterion based on dissipated power is used which fits with the accepted principle that arterial flows follow a minimum energy loss. The GA shows good convergence and the solution found exhibits improved performance over proprietary designs used for comparison purposes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Goldberg, D.E., “Genetic Algorithms in Search Optimization and Machine Learning”, Addison Wesley, (1989).
Sigwart, U., “Coronary stents: will they survive?”, pp. 169–177 in ‘Coronary Stents’ (Eds. U. Sigwart and G. I. Frank). Springer-Verlag (1992).
Haupt R.L., Haupt S.E. “Practical Genetic Algorithms” John Wiley & Sons, Inc. (1998)
Atherton, M.A., Bates, R.A. & Tesch, K., ‘Comparing genetic algorithms and emulators for the robust design of cardiovascular stents’, Proc of Design & Nature 2002, WIT Press, to be published.
FlexGa ref to be found at www.flextool.com <http://www.flextool.com>
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag London
About this paper
Cite this paper
Tesch, K., Atherton, M.A., Collins, M.W. (2002). Genetic Algorithm Search for Stent Design Improvements. In: Parmee, I.C. (eds) Adaptive Computing in Design and Manufacture V. Springer, London. https://doi.org/10.1007/978-0-85729-345-9_9
Download citation
DOI: https://doi.org/10.1007/978-0-85729-345-9_9
Publisher Name: Springer, London
Print ISBN: 978-1-85233-605-9
Online ISBN: 978-0-85729-345-9
eBook Packages: Springer Book Archive