5 citations · 9 across the 4 of their papers we have counts for
4 papers
Constrained Bayesian Optimisation with Multiple Information Sources
Hauke Maathuis, Roeland De Breuker, Saullo Castro +1
Bayesian Optimisation (BO) under unknown constraints is particularly challenging when feasible regions are small. In such settings, existing methods that typically rely solely on e…
High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes
Hauke F. Maathuis, Roeland De Breuker, Saullo G. P. Castro
Design optimisation offers the potential to develop lightweight aircraft structures with reduced environmental impact. Due to the high number of design variables and constraints, t…
Exploring Multi-Fidelity Aeroelastic Tailoring: Prospect and Model Assessment
Hauke Maathuis, Saullo G. P. Castro, Roeland De Breuker
The design and optimisation of aircraft wings are critical tasks in aerospace engineering, requiring a balance between structural integrity, aerostructural performance, and manufac…
High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring
Hauke Maathuis, Roeland De Breuker, Saullo G. P. Castro
Design optimisation potentially leads to lightweight aircraft structures with lower environmental impact. Due to the high number of design variables and constraints, these problems…