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Design and analysis of variable fidelity multi-objective experiments

Monday 5th September 2011 - 14:30 to 15:00
INI Seminar Room 1
Session Title: 
Computer Simulators and Physical Experiments I
Session Chair: 
W. Notz
At the core of any design process is the need to predict performance and vary designs accordingly. Performance prediction may come in many forms, from back-of-envelope through high fidelity simulations to physical testing. Such experiments may be one- or two-dimensional simplifications and may include all or some environmental factors. Traditional practice is to increase the fidelity and expense of the experiments as the design progresses, superseding previous low-fidelity results. However, by employing a surrogate modelling approach, all results can contribute to the design process. This talk presents the use of nested space filling experimental designs and a co-Kriging based multi-objective expected improvement criterion to select pareto optimal solutions. The method is applied to the design of an unmanned air vehicle wing and the rear wing of a race-car.
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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons