selected publications

• academic article

  • A Python surrogate modeling framework with derivatives.  Advances in Engineering Software.  135:102662-102662. 2019
  • Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method.  Engineering Optimization.  50:2038-2053. 2018
  • Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction.  Structural and Multidisciplinary Optimization.  53:935-952. 2016
  • An Improved Approach for Estimating the Hyperparameters of the Kriging Model for High-Dimensional Problems through the Partial Least Squares Method.  Mathematical Problems in Engineering.  2016:1-11. 2016
  • An improved approach to estimate the hyper-parameters of the kriging model for high-dimensional problems through the Partial Least Squares method.  HAL (Le Centre pour la Communication Scientifique Directe).  2016

• conference paper

  • Kriging Combining Partial Least Squares for Optimization in High Dimension.  HAL (Le Centre pour la Communication Scientifique Directe). 2014
  • SURROGATE MODELS FOR OPTIMIZATION IN HIGH DIMENSION USING A MIXED PLS/KRIGING METHOD.  HAL (Le Centre pour la Communication Scientifique Directe). 2014