Kriging surrogate model with coordinate transformation based on likelihood and gradient

DOI10.1007/s10898-017-0516-yzbMath1380.90227OpenAlexW2604191178MaRDI QIDQ1675582

Nobuo Namura, Shigeru Obayashi, Koji Shimoyama

Publication date: 2 November 2017

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-017-0516-y

zbMATH Keywords

likelihoodcoordinate transformationeigenvalue decompositionefficient global optimizationKriging modelairfoil design

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26)

Related Items

A novel and fully automated coordinate system transformation scheme for near optimal surrogate construction ⋮ Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method ⋮ Sequential Learning of Active Subspaces

Uses Software

• EGO
• XFOIL

Cites Work

• Unnamed Item
• Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces
• Efficient global optimization of expensive black-box functions
• A comparative study of artificial bee colony algorithm
• Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• A non-stationary covariance-based Kriging method for metamodelling in engineering design
• The intrinsic random functions and their applications