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A comparison of mixed-variables Bayesian optimization approaches.
Jhouben Cuesta-Ramirez
Rodolphe Le Riche
Olivier Roustant
Guillaume Perrin
Cédric Durantin
Alain Glière
Published in:
Adv. Model. Simul. Eng. Sci. (2022)
Keyphrases
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optimization approaches
optimization methods
mathematical programming
machine learning
data driven
knowledge base
bayesian networks
objective function
high dimensional
probabilistic model
particle filter
optimization method
constraint programming
bayesian inference
bayesian learning
relevant variables