Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Towards the numerical simulation of electrocardiograms
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
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
Multiobjective optimization of a stent in a fluid-structure context
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
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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In this paper, we propose the use of Genetic Algorithms as a tool for improving a pacemaker efficiency in a defective heart. Such device is generally used when the electrical activity of the heart is deficient and consists in applying electrodes on several points at the surface of the heart. % surface.By optimizing the positions of these electrodes with respect to a well chosen criteria, we show the significant gain that can beachieved with this technique compared to a less systematic positioning.