Bayesian Optimization (BO) is a sequential optimization strategy initially proposed to solve the single-objective black-box optimization problem that is costly to evaluate. Built on the surrogate-assisted modeling technique, BO has shown superior empirical...
CITATION STYLE
Wang, H., & Yang, K. (2023). Bayesian Optimization (pp. 271–297). https://doi.org/10.1007/978-3-031-25263-1_10
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