2 citations · 2 across the 1 of their papers we have counts for
3 papers
Coupling and selecting constraints in Bayesian optimization under uncertainties
Julien Pelamatti, Rodolphe Le Riche, Céline Helbert +1
We consider chance constrained optimization where it is sought to optimize a function while complying with constraints, both of which are affected by uncertainties. The high comput…
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 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…