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SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes

Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper Bussemaker, Thierry Lefèbvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins

2023Advances in Engineering Software118 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceKrigingSurrogate modelToolboxPython (programming language)MIT LicenseData miningMachine learningSoftwareArtificial intelligenceProgramming languageAdvanced Multi-Objective Optimization AlgorithmsProbabilistic and Robust Engineering DesignGreenhouse Technology and Climate Control
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes | Litcius