Abstract
Due to rapid development of faster and faster computing facilities the multibody system approach which has been studied now for more than three decades [1] is starting to switch from a purely analyzing method to a more synthesizing tool. Optimization methods are applied to optimize multibody systems with respect to their dynamic behavior [2, 3]. The dynamic behavior of multibody systems is determined by parameters like the mass and moments of inertia of the individual bodies, geometrical data, stiffness and damping coefficients, or control parameters of active coupling elements. Each of these parameters may serve as design variable for optimizing the dynamic behavior. For applying optimization algorithms performance criteria have to be defined [4].
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© 1996 Kluwer Academic Publishers
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Bestle, D., Eberhard, P. (1996). Multi–Criteria Multi–Model Design Optimization. In: Bestle, D., Schiehlen, W. (eds) IUTAM Symposium on Optimization of Mechanical Systems. Solid Mechanics and its Applications, vol 43. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0153-7_5
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DOI: https://doi.org/10.1007/978-94-009-0153-7_5
Publisher Name: Springer, Dordrecht
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