Scalable constrained Bayesian optimization

D Eriksson, M Poloczek - International conference on …, 2021 - proceedings.mlr.press
The global optimization of a high-dimensional black-box function under black-box
constraints is a pervasive task in machine learning, control, and engineering. These …

Surrogate‐based methods for black‐box optimization

KK Vu, C d'Ambrosio, Y Hamadi… - … in Operational Research, 2017 - Wiley Online Library
In this paper, we survey methods that are currently used in black‐box optimization, that is,
the kind of problems whose objective functions are very expensive to evaluate and no …

Multi-fidelity Bayesian optimization in engineering design

B Do, R Zhang - ar** optimization of coastal aquifers assisted by adaptive metamodelling methods and radial basis functions
V Christelis, A Mantoglou - Water Resources Management, 2016 - Springer
The application of metamodelling frameworks is a popular approach to handle the
computational cost arising from complex computer simulations and global optimization …

Optimizing tuberculosis treatment efficacy: Comparing the standard regimen with Moxifloxacin-containing regimens

M Budak, JM Cicchese, P Maiello… - PLoS computational …, 2023 - journals.plos.org
Tuberculosis (TB) continues to be one of the deadliest infectious diseases in the world,
causing~ 1.5 million deaths every year. The World Health Organization initiated an End TB …

Differential evolution with underestimation-based multimutation strategy

XG Zhou, GJ Zhang - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
As we know, the performance of differential evolution (DE) highly depends on the mutation
strategy. However, it is difficult to choose a suitable mutation strategy for a specific problem …