145 citations · 225 across the 10 of their papers we have counts for
10 papers
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions
Charles F. Jekel, Raphael T. Haftka
Some popular functions used to test global optimization algorithms have multiple local optima, all with the same value, making them all global optima. It is easy to make them more…
Accelerating High-Strain Continuum-Scale Brittle Fracture Simulations with Machine Learning
M. Giselle Fernández-Godino, Nishant Panda, Daniel O'Malley +4
Failure in brittle materials under dynamic loading conditions is a result of the propagation and coalescence of microcracks. Simulating this mechanism at the continuum level is com…
Fortified Test Functions for Global Optimization and the Power of Multiple Runs
Charles F. Jekel, Raphael T. Haftka
Some popular functions used to test global optimization algorithms have multiple local optima, all with the same value. That is all local optima are also global optima. This paper…
Multilevel Monte Carlo Simulations of Composite Structures with Uncertain Manufacturing Defects
T. J. Dodwell, S. Kinston, R. Butler +3
By adopting a Multilevel Monte Carlo (MLMC) framework, we show that only a handful of costly fine scale computations are needed to accurately estimate statistics of the failure of…
Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
Nathaniel B. Price, Mathieu Balesdent, Sébastien Defoort +3
At the initial design stage engineers often rely on low-fidelity models that have high epistemic uncertainty. Traditional safety-margin-based deterministic design resorts to testin…
Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings
Charles F Jekel, Raphael T. Haftka
A method to produce personalized classification models to automatically review online dating profiles on Tinder is proposed, based on the user's historical preference. The method t…