Parallel Bayesian Optimization Using Satisficing Thompson Sampling for Time-Sensitive Black-Box Optimization.

Xiaobin Song Benben Jiang

Published in: CoRR (2023)

Keyphrases

black box
optimization algorithm
global optimization
monitoring system
parallel processing
random sampling
black boxes
machine learning
artificial intelligence
bayesian networks
optimization problems
linear programming
efficient optimization
white box