Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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In this paper, the motion of the knee joint during flexion and extension is investigated. It is developed a mathematical model of the knee joint that describes motion in 12 generalized coordinates as a function of the externally motion. The model is based on the patellar track geometry experimental data. The surface of the patellar track is modeled by using the n-ellipsoid model. The inverse problem is restricted to slow motions, so we consider that static optimization is good enough for our goal.