Pooling Problem: Alternate Formulations and Solution Methods. - Charles Audet; Jack Brimberg; Pierre Hansen; Sébastien Le Digabel; Nenad Mladenovic (Manag. Sci., 2004)

Nonsmooth optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search. - Charles Audet; Vincent Béchard; Sébastien Le Digabel (J. Glob. Optim., 2008)

Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm. - Charles Audet; John E. Dennis Jr.; Sébastien Le Digabel (SIAM J. Optim., 2008)

OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions. - Mark A. Abramson; Charles Audet; John E. Dennis Jr.; Sébastien Le Digabel (SIAM J. Optim., 2009)

Globalization strategies for Mesh Adaptive Direct Search. - Charles Audet; John E. Dennis Jr.; Sébastien Le Digabel (Comput. Optim. Appl., 2010)

Exact and heuristic solutions of the global supply chain problem with transfer pricing. - Sylvain Perron; Pierre Hansen; Sébastien Le Digabel; Nenad Mladenovic (Eur. J. Oper. Res., 2010)

Algorithm 909: NOMAD: Nonlinear Optimization with the MADS Algorithm. - Sébastien Le Digabel (ACM Trans. Math. Softw., 2011)

Optimizing Threads Schedule Alignments to Expose the Interference Bug Pattern. - Neelesh Bhattacharya; Olfat El-Mahi; Etienne Duclos; Giovanni Beltrame; Giuliano Antoniol; Sébastien Le Digabel; Yann-Gaël Guéhéneuc (SSBSE, 2012)

Trade-off studies in blackbox optimization. - Charles Audet; John E. Dennis Jr.; Sébastien Le Digabel (Optim. Methods Softw., 2012)

ACRE: An Automated Aspect Creator for Testing C++ Applications. - Etienne Duclos; Sébastien Le Digabel; Yann-Gaël Guéhéneuc; Bram Adams (CSMR, 2013)

Use of quadratic models with mesh-adaptive direct search for constrained black box optimization. - Andrew R. Conn; Sébastien Le Digabel (Optim. Methods Softw., 2013)

PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD. - Edward Michael Gertz; Tero Hiekkalinna; Sébastien Le Digabel; Charles Audet; Joseph D. Terwilliger; Alejandro A. Schäffer (BMC Bioinform., 2014)

Reducing the Number of Function Evaluations in Mesh Adaptive Direct Search Algorithms. - Charles Audet; Andrea Ianni; Sébastien Le Digabel; Christophe Tribes (SIAM J. Optim., 2014)

Linear equalities in blackbox optimization. - Charles Audet; Sébastien Le Digabel; Mathilde Peyrega (Comput. Optim. Appl., 2015)

Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian. - Victor Picheny; Robert B. Gramacy; Stefan M. Wild; Sébastien Le Digabel (NIPS, 2016)

Classification with Quantification for Air Quality Monitoring. - Sanad Al-Maskari; Eve Bélisle; Xue Li 001; Sébastien Le Digabel; Amin Nawahda; Jiang Zhong (PAKDD (1), 2016)

Modeling an Augmented Lagrangian for Blackbox Constrained Optimization. - Robert B. Gramacy; Genetha A. Gray; Sébastien Le Digabel; Herbert K. H. Lee; Pritam Ranjan; Garth N. Wells; Stefan M. Wild (Technometrics, 2016)

Rejoinder. - Robert B. Gramacy; Genetha A. Gray; Sébastien Le Digabel; Herbert K. H. Lee; Pritam Ranjan; Garth N. Wells; Stefan M. Wild (Technometrics, 2016)

Computational study of valid inequalities for the maximum k-cut problem. - Vilmar Jefté Rodrigues de Sousa; Miguel F. Anjos; Sébastien Le Digabel (Ann. Oper. Res., 2018)

A progressive barrier derivative-free trust-region algorithm for constrained optimization. - Charles Audet; Andrew R. Conn; Sébastien Le Digabel; Mathilde Peyrega (Comput. Optim. Appl., 2018)

Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm. - Nadir Amaioua; Charles Audet; Andrew R. Conn; Sébastien Le Digabel (Eur. J. Oper. Res., 2018)

Order-based error for managing ensembles of surrogates in mesh adaptive direct search. - Charles Audet; Michael Kokkolaras; Sébastien Le Digabel; Bastien Talgorn (J. Glob. Optim., 2018)

Robust optimization of noisy blackbox problems using the Mesh Adaptive Direct Search algorithm. - Charles Audet; Amina Ihaddadene; Sébastien Le Digabel; Christophe Tribes (Optim. Lett., 2018)

Improving the linear relaxation of maximum k-cut with semidefinite-based constraints. - Vilmar Jefté Rodrigues de Sousa; Miguel F. Anjos; Sébastien Le Digabel (EURO J. Comput. Optim., 2019)

The Mesh Adaptive Direct Search Algorithm for Granular and Discrete Variables. - Charles Audet; Sébastien Le Digabel; Christophe Tribes (SIAM J. Optim., 2019)

Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system. - Dounia Lakhmiri; Ryan Alimo; Sébastien Le Digabel (CoRR, 2020)

Preface to the special issue of INFOR on "continuous optimization and applications in machine learning and data analytics". - Miguel F. Anjos; Fabian Bastin; Sébastien Le Digabel; Andrea Lodi 001 (INFOR Inf. Syst. Oper. Res., 2020)

Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates. - Charles Audet; Kwassi Joseph Dzahini; Michael Kokkolaras; Sébastien Le Digabel (Comput. Optim. Appl., 2021)

DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization. - Jean Bigeon; Sébastien Le Digabel; Ludovic Salomon (Comput. Optim. Appl., 2021)

NOMAD version 4: Nonlinear optimization with the MADS algorithm. - Charles Audet; Sébastien Le Digabel; Viviane Rochon Montplaisir; Christophe Tribes (CoRR, 2021)

Two decades of blackbox optimization applications. - Stéphane Alarie; Charles Audet; Aïmen E. Gheribi; Michael Kokkolaras; Sébastien Le Digabel (EURO J. Comput. Optim., 2021)

Performance indicators in multiobjective optimization. - Charles Audet; Jean Bigeon; Dominique Cartier; Sébastien Le Digabel; Ludovic Salomon (Eur. J. Oper. Res., 2021)

Preface to the special issue of JOGO on the occasion of the 40th anniversary of the Group for Research in Decision Analysis (GERAD). - Daniel Aloise; Gilles Caporossi; Sébastien Le Digabel (J. Glob. Optim., 2021)

Optimization of Stochastic Blackboxes with Adaptive Precision. - Stéphane Alarie; Charles Audet; Pierre-Yves Bouchet; Sébastien Le Digabel (SIAM J. Optim., 2021)

HyperNOMAD: Hyperparameter Optimization of Deep Neural Networks Using Mesh Adaptive Direct Search. - Dounia Lakhmiri; Sébastien Le Digabel; Christophe Tribes (ACM Trans. Math. Softw., 2021)

Constrained blackbox optimization with the NOMAD solver on the COCO constrained test suite. - Charles Audet; Sébastien Le Digabel; Ludovic Salomon; Christophe Tribes (GECCO Companion, 2022)

Quantifying uncertainty with ensembles of surrogates for blackbox optimization. - Charles Audet; Sébastien Le Digabel; Renaud Saltet (Comput. Optim. Appl., 2022)

Computational study of a branching algorithm for the maximum k-cut problem. - Vilmar Jefté Rodrigues de Sousa; Miguel F. Anjos; Sébastien Le Digabel (Discret. Optim., 2022)

Anomaly detection for data accountability of Mars telemetry data. - Dounia Lakhmiri; Ryan Alimo; Sébastien Le Digabel (Expert Syst. Appl., 2022)

Use of Static Surrogates in Hyperparameter Optimization. - Dounia Lakhmiri; Sébastien Le Digabel (Oper. Res. Forum, 2022)

Hierarchically constrained blackbox optimization. - Stéphane Alarie; Charles Audet; Paulin Jacquot; Sébastien Le Digabel (Oper. Res. Lett., 2022)

Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm. - Charles Audet; Sébastien Le Digabel; Viviane Rochon Montplaisir; Christophe Tribes (ACM Trans. Math. Softw., 2022)

Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm. - Dounia Lakhmiri; Mahdi Zolnouri; Vahid Partovi Nia; Christophe Tribes; Sébastien Le Digabel (CoRR, 2023)

Efficient Training Under Limited Resources. - Mahdi Zolnouri; Dounia Lakhmiri; Christophe Tribes; Eyyüb Sari; Sébastien Le Digabel (CoRR, 2023)

Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. - Kwassi Joseph Dzahini; Michael Kokkolaras; Sébastien Le Digabel (Math. Program., 2023)

Journey to Centralizing Destination Recommendations. - Maria Prosviryakova; Gaurav Misra; Sébastien Le Digabel; Rodrigo Villatoro (RecTour@RecSys, 2024)

A graph-structured distance for heterogeneous datasets with meta variables. - Edward Hallé-Hannan; Charles Audet; Youssef Diouane; Sébastien Le Digabel; Paul Saves (CoRR, 2024)

Handling of constraints in multiobjective blackbox optimization. - Jean Bigeon; Sébastien Le Digabel; Ludovic Salomon (Comput. Optim. Appl., 2024)

Zeroth Order Optimization for Pretraining Language Models. - Nathan Allaire; Mahsa Ghazvini Nejad; Sébastien Le Digabel; Vahid Partovi Nia (ICPRAM, 2025)

A distance for mixed-variable and hierarchical domains with meta variables. - Edward Hallé-Hannan; Charles Audet; Youssef Diouane; Sébastien Le Digabel; Paul Saves (Neurocomputing, 2025)

Inter-DS: a cost saving algorithm for expensive constrained multi-fidelity blackbox optimization. - Stéphane Alarie; Charles Audet; Miguel Diago; Sébastien Le Digabel; Xavier Lebeuf (Comput. Optim. Appl., 2025)