Setting targets for surrogate-based optimization
From MaRDI portal
Publication:1942023
DOI10.1007/s10898-011-9837-4zbMath1268.90055OpenAlexW2076625235MaRDI QIDQ1942023
Efrain Nava, Nestor V. Queipo, Salvador Pintos
Publication date: 25 March 2013
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-011-9837-4
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A distribution-free approach to inducing rank correlation among input variables
- On the design of optimization strategies based on global response surface approximation models
- Efficient global optimization of expensive black-box functions
- Estimation of the mean and the covariance matrix under a marginal independence assumption -- an application of matrix differential calculus
- Crashworthiness design optimization using successive response surface approximations
- A taxonomy of global optimization methods based on response surfaces
- Global optimization of stochastic black-box systems via sequential kriging meta-models
- On benchmarking functions for genetic algorithms
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Automotive crashworthiness design using response surface‐based variable screening and optimization
- Optimal orthogonal-array-based latin hypercubes
- Orthogonal Array-Based Latin Hypercubes
- Controlling Correlations in Latin Hypercube Samples
- Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments
- A radial basis function method for global optimization
- An introduction to statistical modeling of extreme values
This page was built for publication: Setting targets for surrogate-based optimization