Bayesian optimisation for constrained problems

DOI10.1145/3641544zbMath1548.90459MaRDI QIDQ6639392

Juan Ungredda, Juergen Branke

Publication date: 15 November 2024

Published in: ACM Transactions on Modeling and Computer Simulation (Search for Journal in Brave)

zbMATH Keywords

Gaussian processesconstraintsBayesian optimisationsimulation optimisation

Mathematics Subject Classification ID

Bayesian inference (62F15) Nonlinear programming (90C30) Derivative-free methods and methods using generalized derivatives (90C56)

Cites Work

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• Continuous multi-task Bayesian optimisation with correlation
• Efficient global optimization of expensive black-box functions
• Constrained Bayesian optimization with noisy experiments
• Sequential model based optimization of partially defined functions under unknown constraints
• Kernels for Vector-Valued Functions: A Review
• Probability and Stochastics
• The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression
• Simulation optimization: a review of algorithms and applications
• Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

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