54 citations · 82 across the 4 of their papers we have counts for
4 papers
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
Rémy Priem, Youssef Diouane, Nathalie Bartoli +2
Bayesian optimization (BO) is one of the most powerful strategies to solve computationally expensive-to-evaluate blackbox optimization problems. However, BO methods are conventiona…
Exploring Collaborative and Multidisciplinary Aircraft Optimization through the AGILE Academy Challenge -- A case study for an aircraft auxiliary solar power system
Andrew Jeyaraj, Florian Sanchez, Paul Earnest +3
Reduction in aircraft emission is a main driver for the development of more efficient aircraft and enabling technologies are reaching operational maturity. Aircraft manufacturers n…
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design
Remy Priem, Hugo Gagnon, Ian Chittick +3
The multi-level, multi-disciplinary and multi-fidelity optimization framework developed at Bombardier Aviation has shown great results to explore efficient and competitive aircraft…
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design
Rémy Priem, Nathalie Bartoli, Youssef Diouane +1
Bayesian optimization methods have been successfully applied to black box optimization problems that are expensive to evaluate. In this paper, we adapt the so-called super effcient…