Sébastien Le Digabel

发表

Reducing the Number of Function Evaluations in Mesh Adaptive Direct Search Algorithms

Charles Audet, Andrea Ianni, Sébastien Le Digabel, 2012, SIAM J. Optim..

Pooling Problem: Alternate Formulations and Solution Methods

Pierre Hansen, Nenad Mladenovic, Charles Audet, 2000, Manag. Sci..

Selection of variables in parallel space decomposition for the mesh adaptive

Charles Audet, Sébastien Le Digabel, Nadir Amaioua, 2018 .

Calibration of Driving Behavior Models using Derivative-Free Optimization and Video Data for Montreal Highways

Sébastien Le Digabel, Nicolas Saunier, Laurent Gauthier, 2016 .

Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

Sébastien Le Digabel, Stefan M. Wild, Robert B. Gramacy, 2014, Technometrics.

Robust optimization of noisy blackbox problems using the Mesh Adaptive Direct Search algorithm

Charles Audet, Sébastien Le Digabel, Christophe Tribes, 2016, Optim. Lett..

Statistical Surrogate Formulations for Simulation-Based Design Optimization

Sébastien Le Digabel, Michael Kokkolaras, Bastien Talgorn, 2015 .

OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions

Charles Audet, Sébastien Le Digabel, John E. Dennis, 2008, SIAM J. Optim..

Computational study of valid inequalities for the maximum k-cut problem

Sébastien Le Digabel, Miguel F. Anjos, Vilmar Jefté Rodrigues de Sousa, 2016, Ann. Oper. Res..

A derivative-free trust-region augmented Lagrangian algorithm

Charles Audet, Sébastien Le Digabel, Mathilde Peyrega, 2016 .

Sébastien Le Digabel, Stefan M. Wild, Robert B. Gramacy, 2016, Technometrics.

Sensitivity to Constraints in Blackbox Optimization

Charles Audet, Sébastien Le Digabel, John E. Dennis, 2010 .

Performance indicators in multiobjective optimization

Jean Bigeon, Charles Audet, Sébastien Le Digabel, 2018, Eur. J. Oper. Res..

Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm

Charles Audet, Sébastien Le Digabel, John E. Dennis, 2007, SIAM J. Optim..

The Mesh Adaptive Direct Search Algorithm for Granular and Discrete Variables

Charles Audet, Sébastien Le Digabel, Christophe Tribes, 2018, SIAM J. Optim..

Order-based error for managing ensembles of surrogates in derivative-free optimization

Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, 2016 .

Trade-off studies in blackbox optimization

Charles Audet, Sébastien Le Digabel, John E. Dennis, 2012, Optim. Methods Softw..

Review of measures of the quality of approximated Pareto fronts in multiobjective optimization

Jean Bigeon, Charles Audet, Sébastien Le Digabel, 2018 .

Evaluation of machine learning interpolation techniques for prediction of physical properties

Zi Huang, Sébastien Le Digabel, Eve Bélisle, 2015 .

Algorithm xxx : NOMAD : Nonlinear Optimization with the MADS algorithm

Sébastien Le Digabel, S. Digabel, 2010 .

The mesh adaptive direct search algorithm with treed Gaussian process surrogates

Sébastien Le Digabel, Robert B. Gramacy, R. Gramacy, 2011 .

Robust Constrained Blackbox Optimization with Surrogates

Charles Audet, Sébastien Le Digabel, Charles Audet, 2015 .

Order-based error for managing ensembles of surrogates in mesh adaptive direct search

Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, 2018, J. Glob. Optim..

Snow Water Equivalent Estimation Using Blackbox Optimization

Vincent Garnier, Charles Audet, Sébastien Le Digabel, 2011 .

Linear equalities in blackbox optimization

Charles Audet, Sébastien Le Digabel, Mathilde Peyrega, 2014, Comput. Optim. Appl..

Use of quadratic models with mesh-adaptive direct search for constrained black box optimization

Sébastien Le Digabel, Andrew R. Conn, A. Conn, 2011, Optim. Methods Softw..

Improving the linear relaxation of maximum k-cut with semidefinite-based constraints

Sébastien Le Digabel, Miguel F. Anjos, Vilmar Jefté Rodrigues de Sousa, 2018, EURO J. Comput. Optim..

Balancing realism and complexity: An accurate optimization model for electricity usage in smart homes

Sébastien Le Digabel, Miguel F. Anjos, Michael David De Souza Dutra, 2018 .

PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD

Alejandro A. Schäffer, Charles Audet, Sébastien Le Digabel, 2014, BMC Bioinformatics.

Exact solution of three nonconvex quadratic programming problems

Charles Audet, Sébastien Le Digabel, Pierre Hansen, 2004 .

A progressive barrier derivative-free trust-region algorithm for constrained optimization

Charles Audet, Sébastien Le Digabel, Andrew R. Conn, 2016, Comput. Optim. Appl..

A general framework for customized transition to smart homes

Sébastien Le Digabel, Miguel F. Anjos, Michael David de Souza Dutra, 2019, Energy.

Improving process representation in conceptual hydrological model calibration using climate simulations

Charles Audet, Sébastien Le Digabel, Louis-Alexandre Leclaire, 2014 .

NOMAD User Guide. Version 3.7.2

Charles Audet, Sébastien Le Digabel, Christophe Tribes, 2009 .

Metamaterial Design by Mesh Adaptive Direct Search

Charles Audet, Sébastien Le Digabel, Kenneth Diest, 2013 .

Exact and heuristic solutions of the global supply chain problem with transfer pricing

Pierre Hansen, Nenad Mladenovic, Sébastien Le Digabel, 2010, Eur. J. Oper. Res..

Transfer Pricing in a Global Supply Chain

Pierre Hansen, Nenad Mladenović, Sébastien Le Digabel, 2008 .

Calculating Optimal Conditions for Alloy and Process Design Using Thermodynamic and Properties Databases, the FactSage Software and the Mesh Adaptive Direct Search (MADS) Algorithm

Charles Audet, Sébastien Le Digabel, Eve Bélisle, 2010 .

Nonsmooth optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search

Charles Audet, Sébastien Le Digabel, Vincent Béchard, 2006, J. Glob. Optim..

ACRE: An Automated Aspect Creator for Testing C++ Applications

Yann-Gaël Guéhéneuc, Sébastien Le Digabel, Bram Adams, 2012, 2013 17th European Conference on Software Maintenance and Reengineering.

The mesh adaptive direct search algorithm for periodic variables

Charles Audet, Sébastien Le Digabel, Charles Audet, 2009 .

A realistic energy optimization model for smart‐home appliances

Sébastien Le Digabel, Miguel F. Anjos, Michael David de Souza Dutra, 2019, International Journal of Energy Research.

NOMAD: Nonlinear Optimization with the MADS Algorithm

Sébastien Le Digabel, 2009 .

Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian

Victor Picheny, Sébastien Le Digabel, Stefan M. Wild, 2016, NIPS.

Classification with Quantification for Air Quality Monitoring

Sébastien Le Digabel, Xue Li, Eve Bélisle, 2016, PAKDD.

Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm

Charles Audet, Sébastien Le Digabel, Andrew R. Conn, 2017, Eur. J. Oper. Res..

Globalization strategies for Mesh Adaptive Direct Search

Charles Audet, Sébastien Le Digabel, John E. Dennis, 2008, Comput. Optim. Appl..

Constrained stochastic blackbox optimization using probabilistic estimates

Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, 2019 .

Identifying Local Minima in the Liquidus Surface Using the FactSage Software and the Mesh Adaptive Direct Search (MADS) Algorithm

Charles Audet, Sébastien Le Digabel, Aïmen E. Gheribi, 2010 .

Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates

Sébastien Le Digabel, Michael Kokkolaras, Kwassi Joseph Dzahini, 2021, Computational Optimization and Applications.

Anomaly detection for data accountability of Mars telemetry data

Sébastien Le Digabel, Ryan Alimo, Dounia Lakhmiri, 2022, Expert Syst. Appl..

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, 2021, J. Glob. Optim..

DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization

Jean Bigeon, Sébastien Le Digabel, Ludovic Salomon, 2020, Computational optimization and applications.

Identifying optimal conditions for magnesium based alloy design using the Mesh Adaptive Direct Search algorithm

Charles Audet, Sébastien Le Digabel, Patrice Chartrand, 2013 .

Efficient solution of quadratically constrained quadratic subproblems within a direct-search algorithm

Charles Audet, Sébastien Le Digabel, Andrew R. Conn, 2016 .

Efficient solution of quadratically constrained quadratic subproblems within the MADS algorithm ∗

Sébastien Le Digabel, A. Conn, Charles Audet, 2016 .

MADMS: Mesh adaptive direct multisearch for blackbox multiobjective optimization

Jean Bigeon, Charles Audet, Sébastien Le Digabel, 2019 .

Two decades of blackbox optimization applications

Charles Audet, Sébastien Le Digabel, Aïmen E. Gheribi, 2020, EURO J. Comput. Optim..

Constrained blackbox optimization with the NOMAD solver on the COCO constrained test suite

Sébastien Le Digabel, C. Audet, S. Digabel, 2022, GECCO Companion.

Sébastien Le Digabel, S. Digabel, Dounia Lakhmiri, 2021, ACM Transactions on Mathematical Software.

Optimization of noisy blackboxes with adaptive precision

Charles Audet, Sébastien Le Digabel, Pierre-Yves Bouchet, 2019, 1911.05846.

StoMADS: Stochastic blackbox optimization using probabilistic estimates

Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, 2019, 1911.01012.

Calculating all local minima on liquidus surfaces using the FactSage software and databases and the Mesh Adaptive Direct Search algorithm

Sébastien Le Digabel, Charles Audet, C. Robelin, 2011 .

Review of the quality of approximated Pareto fronts in multiobjective optimization, Journées de l'optimisation

Jean Bigeon, Charles Audet, Sébastien Le Digabel, 2018 .

Quantifying uncertainty with ensembles of surrogates for blackbox optimization

Charles Audet, Sébastien Le Digabel, S'ebastien Le Digabel, 2021, Computational optimization and applications.

A Taxonomy of Constraints in Simulation-Based Optimization

Sébastien Le Digabel, Stefan M. Wild, S'ebastien Le Digabel, 2015, 1505.07881.

DMulti-MADS: Mesh adaptive direct multisearch for blackbox multiobjective optimization

Jean Bigeon, Sébastien Le Digabel, Ludovic Salomon, 2020 .

MADMS: Mesh adaptive direct multisearch for constrained blackbox multiobjective optimization

Jean Bigeon, Charles Audet, Sébastien Le Digabel, 2019 .

Quantifying uncertainty with ensembles of surrogates for blackbox optimization

Sébastien Le Digabel, Charles Audet, S. Digabel, 2021, Computational Optimization and Applications.

Sébastien Le Digabel, Christophe Tribes, S'ebastien Le Digabel, 2019, ACM Trans. Math. Softw..

CONICOPF: A tight-and-cheap conic relaxation with accuracy metrics for single-period and multi-period ACOPF problems

Sébastien Le Digabel, Miguel F. Anjos, Christian Bingane, 2019 .

Edinburgh Research Explorer Tight-and-Cheap Conic Relaxation for the AC Optimal Power Flow Problem

Sébastien Le Digabel, M. Anjos, S. Digabel, 2018 .

Handling of constraints in multiobjective blackbox optimization

Sébastien Le Digabel, S. Digabel, J. Bigeon, 2022, 2204.00904.

A Framework for Peak Shaving Through the Coordination of Smart Homes

Sébastien Le Digabel, Miguel F. Anjos, Sébastien Le Digabel, 2019, 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America).

On the prediction of low-cost high entropy alloys using new thermodynamic multi-objective criteria

Sébastien Le Digabel, A. Gheribi, A. Pelton, 2018, Acta Materialia.

Computational study of a branching algorithm for the maximum k-cut problem

Sébastien Le Digabel, Miguel F. Anjos, Vilmar Jefté Rodrigues de Sousa, 2020, Discret. Optim..

Modeling an augmented Lagrangian for improved blackbox constrained optimization

Sébastien Le Digabel, Stefan M. Wild, Robert B. Gramacy, 2014 .

Efficient Training Under Limited Resources

Sébastien Le Digabel, C. Tribes, Dounia Lakhmiri, 2023, ArXiv.

NOMAD version 4: Nonlinear optimization with the MADS algorithm pdf

Sébastien Le Digabel, Christophe Tribes, S'ebastien Le Digabel, 2021, ArXiv.

Modeling an augmented Lagrangian for improved blackbox constrained optimization

Sébastien Le Digabel, Stefan M. Wild, Herbert K. H. Lee, 2014, 1403.4890.

Algorithm 909: NOMAD: Nonlinear Optimization with the MADS Algorithm

Sébastien Le Digabel, 2011, TOMS.

Titre : Title : PSEUDOMARKER 2 . 0 : efficient computation of likelihoods using NOMAD Auteurs :

Sébastien Le Digabel, A. Schäffer, J. Terwilliger, 2019 .

Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system pdf

Sébastien Le Digabel, Ryan Alimo, Dounia Lakhmiri, 2020, ArXiv.