2 citations · 2 across the 4 of their papers we have counts for
4 papers
Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties
Charles Audet, Jean Bigeon, Romain Couderc +1
This paper addresses risk averse constrained optimization problems where the objective and constraint functions can only be computed by a blackbox subject to unknown uncertainties.…
Sequential stochastic blackbox optimization with zeroth-order gradient estimators
Charles Audet, Jean Bigeon, Romain Couderc +1
This work considers stochastic optimization problems in which the objective function values can only be computed by a blackbox corrupted by some random noise following an unknown d…
Handling of constraints in multiobjective blackbox optimization
Jean Bigeon, Sébastien Le Digabel, Ludovic Salomon
This work proposes the integration of two new constraint-handling approaches into the blackbox constrained multiobjective optimization algorithm DMulti-MADS, an extension of the Me…
Combining Cross Entropy and MADS methods for inequality constrained global optimization
Charles Audet, Romain Couderc, Jean Bigeon
This paper proposes a way to combine the Mesh Adaptive Direct Search (MADS) algorithm with the Cross-Entropy (CE) method for non smooth constrained optimization. The CE method is u…