说明：  这项工作提出了PESMOC，多目标贝叶斯优化的预测熵搜索约束，一种基于信息的策略，用于在存在多个约束的情况下同时优化多个昂贵的评估黑盒函数。
(This work presents PESMOC, Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints, an information-based strategy for the simultaneous optimization of multiple expensive-toevaluate black-box functions under the presence of several constraints.)