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Use of multiobjective genetic algorithms to optimize inter-vehicle active suspensions
Last updated on 28 October 2014 2:01
This paper studies inter-vehicle active suspensions for railway vehicles and presents an optimization process for the design of vertical active suspension controllers using multiobjective genetic algorithms. A three-vehicle train set is used in the study and two active control schemes are considered primarily to provide the best improvement in the...
Author(s):
Mei T X;Goodall R M
Organisation(s):
The University of Leeds School of Electronic and Electrical Engineering Leeds, UK ; Loughborough University Department of Electronic and Electrical Engineering Loughborough, Leicestershire, UK ;
2002
United Kingdom
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