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Abstract: When gradient information is available, multi-objective Bayesian optimization (MOBO) algorithm using gradient-enhanced Gaussian process (GradGP) models has been proven to be an efficient ...

Abstract: Surrogates are commonly used in single and multi-objective optimization studies for quickly evaluating objective functions which are otherwise expensive to evaluate. Starting with a set of ...