Julien Pelamatti - researchr alias

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Viewing Publication 1 - 4 from 4

2021

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]

2020

Mixed-variable Bayesian optimization : application to aerospace system design. (Optimisation Bayésienne mixte: Application à la conception de véhicules aérospatiaux)Julien Pelamatti. PhD thesis, University of Lille, France, 2020. [doi]

Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design ProblemsJulien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin. 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]

2019

Efficient global optimization of constrained mixed variable problemsJulien Pelamatti, Loïc Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin. jgo, 73(3):583-613, 2019. [doi]

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