Events - NATO Science & Technology Organization
Today's technology for tomorrow's soldier
Events - NATO Science & Technology Organization
Today's technology for tomorrow's soldier
Istanbul, historically known as Constantinople and Byzantium, is the most populous city in what is modern-day Turkey and the country's economic, cultural, and historic center. Istanbul is a transcontinental city in Eurasia, straddling the Bosphorus strait (which separates Europe and Asia) between the Sea of Marmara and the Black Sea. Its commercial and historical center lies on the European side and about a third of its population lives on the Asian side. The city is the administrative center of the Istanbul Metropolitan Municipality (coterminous with Istanbul Province), both hosting a population of around 15 million residents. Istanbul is one of the world's most populous cities and ranks as the world's 7th-largest city proper and the largest European city. Istanbul is viewed as a bridge between the East and West.
AVT-385 on Multi-Fidelity Methods for Multidisciplinary Design Optimization
Research Lecture Series
to be held in Istanbul, Türkiye, 08-09 July 2024
The lecture series is open to citizens from NATO nations, Australia and Japan.
Scientific Objectives
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 technologies. 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
Registration deadline: 20.06.2024
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