References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2016)
  2. Azzimonti, Dario; Bect, Julien; Chevalier, Clément; Ginsbourger, David: Quantifying uncertainties on excursion sets under a Gaussian random field prior (2016)
  3. Beck, Joakim; Guillas, Serge: Sequential design with mutual information for computer experiments (MICE): emulation of a tsunami model (2016)
  4. De Lozzo, Matthias; Marrel, Amandine: Estimation of the derivative-based global sensitivity measures using a Gaussian process metamodel (2016)
  5. Padonou, Esperan; Roustant, Olivier: Polar Gaussian processes and experimental designs in circular domains (2016)
  6. Chevalier, Clément; Emery, Xavier; Ginsbourger, David: Fast update of conditional simulation ensembles (2015)
  7. Kamiński, Bogumił: A method for the updating of stochastic Kriging metamodels (2015)
  8. Picheny, Victor: Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (2015)
  9. Amaran, Satyajith; Sahinidis, Nikolaos V.; Sharda, Bikram; Bury, Scott J.: Simulation optimization: a review of algorithms and applications (2014)
  10. Kleijnen, Jack P.C.; Mehdad, Ehsan: Multivariate versus univariate Kriging metamodels for multi-response simulation models (2014)
  11. Viana, Felipe A.C.; Haftka, Raphael T.; Watson, Layne T.: Efficient global optimization algorithm assisted by multiple surrogate techniques (2013)
  12. Degroote, Joris; Couckuyt, Ivo; Vierendeels, Jan; Segers, Patrick; Dhaene, Tom: Inverse modelling of an aneurysm’s stiffness using surrogate-based optimization and fluid-structure interaction simulations (2012)
  13. Muehlenstaedt, Thomas; Roustant, Olivier; Carraro, Laurent: Data-driven kriging models based on FANOVA-decomposition (2012)