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most citedConstrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding

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stat.ML2023

Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations

Jack M. Buckingham, Sebastian Rojas Gonzalez, Juergen Branke

Multi-objective Bayesian optimization aims to find the Pareto front of trade-offs between a set of expensive objectives while collecting as few samples as possible. In some cases,…