Multi-fidelity Simulation Modelling in Optimization of a Submarine Propulsion System
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If you have a question about this talk, please contact Tiziano Ghisu.
An inherent trade-off exists in simulation model
development and use: a trade-off between the level of detail simulated and the simulation model’s computational cost. It is often desirable to simulate a
high level of detail to a high degree of accuracy. However, due to the nature of design optimization, which requires a large number of design
evaluations, the application of such simulation models can be prohibitively expensive. This paper presents an optimization framework consisting of a
series hybrid optimization algorithm, in which a global search optimizes a submarine propulsion system using low-fidelity models and, in order to refine
the results, a local search is used with high-fidelity models.
This talk is part of the Engineering Design Centre series.
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