High-Dimensional Bayesian Optimisation with Large-Scale Constraints - An Application to Aeroelastic Tailoring.
Hauke MaathuisRoeland de BreukerSaullo G. P. CastroPublished in: CoRR (2023)
Keyphrases
- high dimensional
- real world
- real life
- bayesian networks
- constrained optimization
- low dimensional
- small scale
- sparse data
- data driven
- noisy data
- constraint satisfaction
- similarity search
- dimensionality reduction
- feature space
- genetic algorithm
- sparse coding
- high dimensional spaces
- metric space
- global constraints
- data sets
- parameter space
- gene expression data
- high dimensionality
- data points
- search space
- training set
- neural network