3 papers
cs.LG2026
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…
cs.CE2024
Predicting Open-Hole Laminates Failure Using Support Vector Machines With Classical and Quantum Kernels
Giorgio Tosti Balducci, Boyang Chen, Matthias Möller +2
Modeling open hole failure of composites is a complex task, consisting in a highly nonlinear response with interacting failure modes. Numerical modeling of this phenomenon has trad…
cs.CE2023
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…