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SUMMARY:Design and analysis of variable fidelity multi-objective experimen
 ts - Forrester\, A (University of Southampton)
DTSTART:20110905T133000Z
DTEND:20110905T140000Z
UID:TALK32654@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:At the core of any design process is the need to predict perfo
 rmance and vary designs accordingly. Performance prediction may come in ma
 ny forms\, from back-of-envelope through high fidelity simulations to phys
 ical testing. Such experiments may be one- or two-dimensional simplificati
 ons and may include all or some environmental factors. Traditional practic
 e is to increase the fidelity and expense of the experiments as the design
  progresses\, superseding previous low-fidelity results. However\, by empl
 oying a surrogate modelling approach\, all results can contribute to the d
 esign process. This talk presents the use of nested space filling experime
 ntal designs and a co-Kriging based multi-objective expected improvement c
 riterion 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.\n
LOCATION:Seminar Room 1\, Newton Institute
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