no code implementations • 7 Aug 2022 • Kaifeng Yang, Guozhi Dong, Michael Affenzeller
This paper proposes five alternatives of \emph{Probability of Improvement} (PoI) with multiple points in a batch (q-PoI) for multi-objective Bayesian global optimization (MOBGO), taking the covariance among multiple points into account.
no code implementations • 25 Aug 2020 • Guozhi Dong, Michael Hintermueller, Kostas Papafitsoros
Inspired by applications in optimal control of semilinear elliptic partial differential equations and physics-integrated imaging, differential equation constrained optimization problems with constituents that are only accessible through data-driven techniques are studied.
