51 citations · 71 across the 4 of their papers we have counts for
3 papers · 1 filter
Bayesian optimization of variable-size design space problems
Julien Pelamatti, Loic Brevault, Mathieu Balesdent +2
Within the framework of complex system design, it is often necessary to solve mixed variable optimization problems, in which the objective and constraint functions can depend simul…
Efficient Global Optimization using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Efficient Global Optimization (EGO) is widely used for the optimization of computationally expensive black-box functions. It uses a surrogate modeling technique based on Gaussian P…
Efficient global optimization of constrained mixed variable problems
Julien Pelamatti, Loïc Brevault, Mathieu Balesdent +2
Due to the increasing demand for high performance and cost reduction within the framework of complex system design, numerical optimization of computationally costly problems is an…