Multifidelity surrogates are essential in cases where it is not affordable to have more than a
few high-fidelity samples, but it is affordable to have as many low-fidelity samples as …

Black-box optimization methods like Bayesian optimization are often employed in cases
where the underlying objective functions and their gradient are complex, expensive to …

This paper overviews the efforts of a technical team within the NATO Applied Vehicle
Technology Panel to apply multi-fidelity methods to vehicle design. The objectives of the …

Abstract Design decisions for complex systems often can be made or informed by a variety
of information sources. When optimizing such a system, the evaluation of a quantity of …

Large-scale multidisciplinary design optimization is the solution of engineering design
problems using numerical optimization involving large numbers of design variables and …

It is common for aircraft design studies to begin with low-fidelity tools and move to higher-
fidelity tools at later stages. After early conceptual design stages, designers can take …

View Video Presentation: https://doi. org/10.2514/6.2023-2366. vid Nowadays, drones can
be developed for a wide range of use cases, from infrastructure monitoring to sea rescue …

The recent growth in multifidelity uncertainty quantification has given rise to a large set of
variance reduction techniques that leverage information from model ensembles to provide …

A simulation-based framework for multifidelity uncertainty quantification is presented, which
informs and guides the design process of complex, large-scale, multidisciplinary systems …

Recently, the graph-accelerated non-intrusive polynomial chaos (NIPC) methods have been
introduced to effectively address a variety of uncertainty quantification (UQ) challenges in …