Variable-fidelity modeling of structural analysis of assemblies
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Publication:280989
DOI10.1007/s10898-015-0345-9zbMath1401.90272OpenAlexW1132250204MaRDI QIDQ280989
Pierre-Alain Boucard, Bruno Soulier, Nicolas Courrier
Publication date: 10 May 2016
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-015-0345-9
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Cites Work
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- Exploratory designs for computational experiments
- Recent advances and new challenges in the use of the proper generalized decomposition for solving multidimensional models
- A multiparametric strategy for the two step optimization of structural assemblies
- Multiparametric analysis within the proper generalized decomposition framework
- On the deterministic solution of multidimensional parametric models using the proper generalized decomposition
- Efficient global optimization of expensive black-box functions
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Progressive optimization of inverse fluid dynamic design problems
- A taxonomy of global optimization methods based on response surfaces
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
- A Concordance Correlation Coefficient to Evaluate Reproducibility
- Optimization using surrogate models and partially converged computational fluid dynamics simulations
- Multi-fidelity optimization via surrogate modelling
- Predicting the output from a complex computer code when fast approximations are available
- Efficient Response Surface Methods Based on Generic Surrogate Models
