49 citations · 137 across the 24 of their papers we have counts for
4 papers · 1 filter
An Inexact Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
Nathan Allaire, Sébastien Le Digabel, Dominique Orban
We introduce iR2N, a modified proximal quasi-Newton method for minimizing the sum of a smooth function and a lower semi-continuous prox-bounded function , allowing inexact e…
Adaptive direct search algorithms for constrained optimization
Charles Audet, Théo Denorme, Youssef Diouane +2
Two families of directional direct search methods have emerged in derivative-free and blackbox optimization (DFO and BBO), each based on distinct principles: Mesh Adaptive Direct S…
CatMADS: Mesh Adaptive Direct Search for constrained blackbox optimization with categorical variables
Charles Audet, Youssef Diouane, Edward Hallé-Hannan +2
Solving optimization problems in which functions are blackboxes and variables involve different types poses significant theoretical and algorithmic challenges. Nevertheless, such s…
Efficient search strategies for constrained multiobjective blackbox optimization
Sébastien Le Digabel, Antoine Lesage-Landry, Ludovic Salomon +1
Multiobjective blackbox optimization deals with problems where the objective and constraint functions are the outputs of a numerical simulation. In this context, no derivatives are…