Journal
MULTIBODY SYSTEM DYNAMICS
Volume 30, Issue 3, Pages 265-285Publisher
SPRINGER
DOI: 10.1007/s11044-012-9337-4
Keywords
Vehicle vibration model; Robust design; Uncertainty; Pareto front; Monte Carlo simulation
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Using the robust design of a vehicle vibration model considering uncertainties can elaborately show the effects of those unsure values on the performance of such a model. In this paper, probabilistic metrics, instead of deterministic metrics, are used for a robust Pareto multi-objective optimum design of five-degree of freedom vehicle vibration model having parameters with probabilistic uncertainties. In order to achieve an optimum robust design against probabilistic uncertainties existing in reality, a multi-objective uniform-diversity genetic algorithm (MUGA) in conjunction with Monte Carlo simulation is used for Pareto optimum robust design of a vehicle vibration model with ten conflicting objective functions. The robustness of the design obtained using such a probabilistic approach is shown and compared with that of the design obtained using deterministic approach.
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