How genetic algorithms can improve a pacemaker efficiency
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Semi-deterministic versus genetic algorithms for global optimisation of multichannel optical filters
International Journal of Computational Science and Engineering
The BFGS algorithm for a nonlinear least squares problem arising from blood flow in arteries
Computers & Mathematics with Applications
Comparison of global optimization methods for drag reduction in the automotive industry
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
An optimal reconstruction of the human arterial tree from doppler echotracking measurements
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
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A stent device is a permanent metallic implant currently used to prop open arteries blocked with atherosclerotic plaques. Many classes of stents are available and mainly differ by their design. Our purpose in this paper is to determine some optimal stent parameters to ensure a conforming blood flow through the stented artery. Coupling computational fluid dynamics with stochastic optimization based method is used to obtain the optimal parameters of a simplified stent. Our results point out that the obtained related stents overcome or at least reduce the risk of the late restenosis in stented segments.