Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization.
Johannes KirschnerMojmír MutnýAndreas KrauseJaime Coello de PortugalNicole HillerJochem SnuverinkPublished in: CoRR (2022)
Keyphrases
- constrained optimization
- fine tuning
- optimization methods
- optimization algorithm
- neural network
- efficient optimization
- decision variables
- linear constraints
- global constraints
- optimization process
- global optimization
- constraint programming
- real time
- posterior probability
- bayesian inference
- constraint satisfaction
- optimization problems
- optimization model
- low cost
- objective function
- bayesian networks
- monte carlo sampling