Multiobjective robust design optimization of rail vehicle
نویسندگان
چکیده
This work deals with the multiobjective robust design optimization of rail vehicle systems moving in short radius curved tracks. Two criteria are considered simultaneously, i.e., safety and comfort. We showed that the deterministic optimal solutions, for the nominal design parameters, can be altered seriously by the design parameters uncertainty. A new algorithm that combines Genetic Algorithms and Monte Carlo Simulation is developed and used for the robust multiobjective optimization of the rail vehicle design. The obtained solutions, presented by design vectors of the rail vehicle, are analyzed in terms of performances and robustness.
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