Bayesian Optimization for Multi-objective Optimization and Multi-point Search

7 May 2019 Takashi Wada Hideitsu Hino

Bayesian optimization is an effective method to efficiently optimize unknown objective functions with high evaluation costs. Traditional Bayesian optimization algorithms select one point per iteration for single objective function, whereas in recent years, Bayesian optimization for multi-objective optimization or multi-point search per iteration have been proposed... (read more)

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