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Event
11 Nov 2024
Regions & Cities

AVT-385 RLS on Multi-Fidelity Methods for Multidisciplinary Design Optimization

The objectives of the Lecture Series are: (1) to overview MF methods and the application of MF methods to relevant design problems; (2) to overview existing methods for surrogate modeling; (3) to study the mathematical character of existing and emerging MF methods; (4) to examine the application of MF methods to a variety of benchmark problems; and (5) to explore research topics in MF methods and enabling ; Lecture series notes are expected to be of lasting and broad utility.

 Topics to be covered 

• MF method nomenclature and principles, MF method performance criteria
• Survey of MF strategies and enabling tools
• Examples drawn from selected analytic functions and literature cases
• Surrogate modeling fundamentals, including Gaussian process approaches, neural nets
• Adaptive sampling and active learning approaches for design space exploration and optimization; Bayesian optimization
• MF surrogate methods for cost-sensitive design studies
• Comparative study of MF methods applied to analytic functions
• Vehicle benchmark design problems
• Comparative study of MF methods applied to vehicle benchmark design problems
• Computational frameworks for MF design
• MF methods for Uncertainty Quantification and design under uncertainty
• Research in MF methods

When

11 Nov 2024 @ 08:30 am

12 Nov 2024 @ 05:45 pm

Duration: 1 days, 9 hours


Where

Italy

Rome


Language

English en


Source:

NATO

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