An adaptive metamodel-based optimization approach for vehicle suspension system design
Journal article, Peer reviewed
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Original versionYang, Q., Huang, J., Wang, G., & Karimi, H. R. (2014). An adaptive metamodel-based optimization approach for vehicle suspension system design. Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/965157 10.1155/2014/965157
The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval. Thus metamodel-based techniques can be used for designing suspension system hardpoints locations. In this study, an adaptive metamodel-based optimization approach is used to find the proper locations of the hardpoints, with the objectives considering the kinematic performance of the suspension. The adaptive optimization method helps to find the optimum locations of the hardpoints efficiently as it may be unachievable through manually adjusting. For each iteration in the process of adaptive optimization, prediction uncertainty is considered and the multiobjective optimization method is applied to optimize all the performance indexes simultaneously. It is shown that the proposed optimization method is effective while being applied in the kinematic performance optimization of a McPherson suspension system. © 2014 Qinwen Yang et al.
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/965157