46 citations · 63 across the 6 of their papers we have counts for
4 papers · 1 filter
NOMAD version 4: Nonlinear optimization with the MADS algorithm
Charles Audet, Sébastien Le Digabel, Viviane Rochon Montplaisir +1
NOMAD is software for optimizing blackbox problems. In continuous development since 2001, it constantly evolved with the integration of new algorithmic features published in scient…
Optimization of noisy blackboxes with adaptive precision
Stéphane Alarie, Charles Audet, Pierre-Yves Bouchet +1
In derivative-free and blackbox optimization, the objective function is often evaluated through the execution of a computer program seen as a blackbox. It can be noisy, in the sens…
StoMADS: Stochastic blackbox optimization using probabilistic estimates
Charles Audet, Kwassi Joseph Dzahini, Michael Kokkolaras +1
This work introduces StoMADS, a stochastic variant of the mesh adaptive direct-search (MADS) algorithm originally developed for deterministic blackbox optimization. StoMADS conside…
A Taxonomy of Constraints in Simulation-Based Optimization
Sébastien Le Digabel, Stefan M. Wild
The types of constraints encountered in black-box and simulation-based optimization problems differ significantly from those treated in nonlinear programming. We introduce a charac…