معرفی
Charles Audet is a Full Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal, with affiliations to the Institute for Data Valorization (IVADO) and Research Group in Decision Analysis (GERAD). Specializing in optimization and derivative-free methods, his work focuses on algorithm development for complex engineering problems characterized by black-box functions, nonconvexity, and nonsmooth constraints.
- B.Sc. (Ottawa), M.Sc./Ph.D. (Polytechnique Montréal)
- Joint supervisor with multiple institutions and researchers
His research spans algorithmic improvements in pattern search methods (GPS/MADS), global optimization for structured nonconvex problems, and blackbox optimization applications. Current projects involve multidisciplinary design and categorical variable handling in optimization frameworks.
Recent publications emphasize mixed-variable domains and robust algorithm design. The NOMAD software ecosystem, which he co-developed, remains central to derivative-free optimization implementations.
Key scientific contributions include:
- Advances in mesh adaptive direct search algorithms
- Structural exploitation in bilevel/quadratic programming
- Parallel decomposition techniques
- Robustness in noisy function optimization
Students under his supervision have explored applications in hydroelectric resource modeling, compressor blade redesign, and telecommunication frequency assignment.
