Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems - researchr publication related

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Julien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin. Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems. In Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi, editors, High-Performance Simulation-Based Optimization. Volume 833 of Studies in Computational Intelligence, pages 189-224, Springer, 2020. [doi]

The following publications are possibly variants of this publication:

Mixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace DesignJulien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin. jacic, 18(11):813-837, November 2021. [doi]

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