srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications

no code implementations • 7 Jul 2020 • Anh Tran, Mike Eldred, Scott McCann, Yan Wang

Finally, we couple the third GP along with the classical BO framework to promote the richness and diversity of the Pareto frontier by the exploitation and exploration acquisition function.

Bayesian Optimization Gaussian Processes

aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture

no code implementations • 20 Mar 2020 • Anh Tran, Mike Eldred, Tim Wildey, Scott McCann, Jing Sun, Robert J. Visintainer

First, the efficiency of the Bayesian optimization is improved, where multiple input locations are evaluated massively parallel in an asynchronous manner to accelerate the optimization convergence with respect to physical runtime.

Bayesian Optimization Gaussian Processes