Bayesian optimization with active learning of design constraints using an entropy-based approach

HIGHLIGHTS

• who: Danial Khatamsaz from the (UNIVERSITY) have published the article: Bayesian optimization with active learning of design constraints using an entropy-based approach, in the Journal: (JOURNAL) of 16/03/2023
• what: The main focus when learning a constrained design space is the boundary of the feasible space, rather than the value of the constrained quantity of interest (QoI) at a particular location. The authors propose a framework that actively learns the boundaries of multiple constraints and then searches within these boundaries for optimal materials. The authors propose calculating entropy based on uncertainty in class . . .
  

   

  

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