2 papers
stat.ML2020
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications
Anh Tran, Mike Eldred, Scott McCann +1
Bayesian optimization (BO) is an efficient and flexible global optimization framework that is applicable to a very wide range of engineering applications. To leverage the capabilit…
stat.ML2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture
Anh Tran, Mike Eldred, Tim Wildey +3
High-fidelity complex engineering simulations are highly predictive, but also computationally expensive and often require substantial computational efforts. The mitigation of compu…