World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
47
Citations
10739
World Ranking
1250
National Ranking
42

Engineering and Technology

D-Index
47
Citations
10827
World Ranking
4767
National Ranking
196

Overview

Charles Audet is affiliated with Polytechnique Montréal in Canada. Their research primarily spans the disciplines of computer science and engineering, with a focus on computational theory and mathematics, numerical analysis, artificial intelligence, control and systems engineering, and management science and operations research.

The main topics of their scholarly work include:

  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Optimization Algorithms Research
  • Metaheuristic Optimization Algorithms Research
  • Advanced Control Systems Optimization
  • Advanced Bandit Algorithms Research
  • Optimal Experimental Design Methods
  • Structural Analysis and Optimization

Charles Audet has a number of recent papers that document their contributions to nonlinear and blackbox optimization methods. Notable recent publications include:

  • "Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm" (2022), published in ACM Transactions on Mathematical Software
  • "Performance indicators in multiobjective optimization" (2020), published in European Journal of Operational Research
  • "Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates" (2021), published in Computational Optimization and Applications
  • "A General Mathematical Framework for Constrained Mixed-variable Blackbox Optimization Problems with Meta and Categorical Variables" (2023), published in Operations Research Forum
  • "NOMAD version 4: Nonlinear optimization with the MADS algorithm" (2021), published in arXiv (Cornell University)

Their frequent co-authors include Sébastien Le Digabel, Christophe Tribes, Jean Bigeon, Michael Kokkolaras, and Stéphane Alarie, showcasing ongoing collaborations within the optimization research community.

Audet's research outputs have appeared regularly in a core set of journals and preprint archives that include:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • Journal of Global Optimization
  • Operations Research Forum
  • SIAM Journal on Optimization

The scientist's contributions are primarily situated in advanced algorithmic developments for optimization challenges, including nonlinear optimization, blackbox optimization, constrained problems with mixed variables, and performance measurement in multiobjective contexts.

Best Publications

  • Mesh Adaptive Direct Search Algorithms for Constrained Optimization

    Charles Audet;J. E. Dennis

  • Analysis of Generalized Pattern Searches

    Charles Audet;J. E. Dennis

  • Derivative-Free and Blackbox Optimization

    Charles Audet;Warren Hare

  • A Pattern Search Filter Method for Nonlinear Programming without Derivatives

    Charles Audet;J. E. Dennis

  • Performance indicators in multiobjective optimization

    Charles Audet;Jean Bigeon;Dominique Cartier;Sébastien Le Digabel

  • OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions

    Mark A. Abramson;Charles Audet;J. E. Dennis;Sébastien Le Digabel

  • A Progressive Barrier for Derivative-Free Nonlinear Programming

    Charles Audet;J. E. Dennis

  • A branch and cut algorithm for nonconvex quadratically constrained quadratic programming

    Charles Audet;Pierre Hansen;Brigitte Jaumard;Gilles Savard

  • Pattern Search Algorithms for Mixed Variable Programming

    Charles Audet;J. E. Dennis

  • Nonsmooth optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search

    Charles Audet;Vincent Béchard;Sébastien Le Digabel

  • A surrogate-model-based method for constrained optimization

    Charles Audet;J. Denni;Douglas Moore;Andrew Booker

  • Links between linear bilevel and mixed 0-1 programming problems

    C. Audet;P. Hansen;B. Jaumard;G. Savard

  • Pooling Problem: Alternate Formulations and Solution Methods

    Charles Audet;Jack Brimberg;Pierre Hansen;Sébastien Le Digabel

  • Multiobjective Optimization Through a Series of Single-Objective Formulations

    Charles Audet;Gilles Savard;Walid Zghal

  • Pattern search algorithms for mixed variable general constrained optimization problems

    Mark Aaron Abramson;John E. Dennis;Charles Audet

  • Mesh adaptive direct search algorithms for mixed variable optimization

    Mark A. Abramson;Charles Audet;James W. Chrissis;Jennifer G. Walston

  • Finding Optimal Algorithmic Parameters Using Derivative-Free Optimization

    Charles Audet;Dominique Orban

  • Convergence of Mesh Adaptive Direct Search to Second-Order Stationary Points

    Mark A. Abramson;Charles Audet

  • Comparison of derivative-free optimization methods for groundwater supply and hydraulic capture community problems

    K.R. Fowler;J.P. Reese;C.E. Kees;J.E. Dennis

  • Globalization strategies for Mesh Adaptive Direct Search

    Charles Audet;John E. Dennis;Sébastien Le Digabel

  • A MADS Algorithm with a Progressive Barrier for Derivative-Free Nonlinear Programming

    Charles Audet;John E. Dennis

Frequent Co-Authors

Pierre Hansen
Pierre Hansen HEC Montréal
John E. Dennis
John E. Dennis Rice University
Gilles Savard
Gilles Savard Polytechnique Montréal
Brigitte Jaumard
Brigitte Jaumard Concordia University
Joseph D. Terwilliger
Joseph D. Terwilliger Columbia University
Arthur D. Pelton
Arthur D. Pelton Polytechnique Montréal
Jamal Chaouki
Jamal Chaouki Polytechnique Montréal
François Bertrand
François Bertrand Polytechnique Montréal
Nenad Mladenović
Nenad Mladenović Khalifa University
Alison L. Marsden
Alison L. Marsden Stanford University

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