2 citations · 2 across the 1 of their papers we have counts for
4 papers
Optimization by Directional Attacks: Solving Problems with Neural Network Surrogates
Pierre-Yves Bouchet, Thibaut Vidal
This paper tackles optimization problems whose objective and constraints involve a trained Neural Network (NN), where the goal is to maximize subject to ,…
A Partitioned Optimization Framework for Structure-Aware Problems
Charles Audet, Pierre-Yves Bouchet, Loïc Bourdin
This work tackles a class of optimization problems in which fixing some well-chosen combinations of the variables makes the problem substantially easier to solve. We consider that…
Convergence towards a local minimum by direct search methods with a covering step
Charles Audet, Pierre-Yves Bouchet. Loïc Bourdin
This paper introduces a new step to the Direct Search Method (DSM) to strengthen its convergence analysis. By design, this so-called covering step may ensure that for all refined p…
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…