Faculty profile
Sébastien Le Digabel
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Latest funding
- $50,000
Blackbox optimization: Algorithms, software, and applications
NSERC · 2024 · Principal investigator
- $517,500
Optimization of future energy systems
NSERC · 2021 · Co-investigator
- $781,500
Numerical Optimization and Machine Learning
NSERC · 2019 · Principal investigator
Blackbox optimization: Algorithms, software, and applications
Principal investigators: Le Digabel, Sébastien
Keywords: mathematical optimization; derivative-free optimization; blackbox optimization; optimization algorithms; algorithms benchmarking; realistic applications
Optimization of future energy systems
Principal investigators: Dagdougui, Hanane HD
Keywords: blackbox optimisation; distributed energy resources; distribution system; intermittent energy resources; optimal power flow; optimisation; transmission system
Numerical Optimization and Machine Learning
Principal investigators: Le Digabel, Sébastien S
Derivative-Free Optimization: Algorithmic Developments, Software Design, Applications, and Machine Learning
Principal investigators: Le Digabel, Sébastien
Keywords: Blackbox Optimization; Derivative-Free Optimization; Engineering Applications; Industrial Applications; Machine Learning; Software Development
Développement d'algorithmes d'optimisation de boîtes-noires pour des applications en énergie
Principal investigators: Audet, Charles
Use of surrogates in derivative-free optimization
Principal investigators: LeDigabel, Sébastien
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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