Surrogate-Based Methods

DOI10.1007/978-3-642-20859-1_3zbMath1218.90009OpenAlexW147377413MaRDI QIDQ3020436

David Echeverría Ciaurri, Leifur Leifsson, Slawomir Koziel

Publication date: 4 August 2011

Published in: Computational Optimization, Methods and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-20859-1_3

zbMATH Keywords

design of experimentsfunction approximationsurrogate modelstrust-region methodssurrogate-based optimizationmulti-fidelity optimizationsimulation-driven design

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Computational methods for problems pertaining to operations research and mathematical programming (90-08)

Related Items (7)

Space mapping-based optimization with the macroscopic limit of interacting particle systems ⋮ A novel and fully automated coordinate system transformation scheme for near optimal surrogate construction ⋮ Accelerated scale bridging with sparsely approximated Gaussian learning ⋮ Large-scale dynamic system optimization using dual decomposition method with approximate dynamic programming ⋮ Auction optimization using regression trees and linear models as integer programs ⋮ Expedited constrained multi-objective aerodynamic shape optimization by means of physics-based surrogates ⋮ Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A trust-region strategy for manifold-mapping optimization
• Kriging metamodeling in simulation: a review
• Quality assessment of coarse models and surrogates for space mapping optimization
• Efficient global optimization of expensive black-box functions
• The design and analysis of computer experiments.
• A constraint mapping approach to the structural optimization of an expensive model using surrogates
• An overview of first-order model management for engineering optimization
• Optimal aeroacoustic shape design using the surrogate management framework
• Space Mapping and Defect Correction
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Two new variants of the manifold‐mapping technique
• Optimal orthogonal-array-based latin hypercubes
• Introduction to Derivative-Free Optimization
• ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
• The approximation power of moving least-squares
• Trust Region Methods
• Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments
• On optimum design in fluid mechanics
• Metamodels for computer-based engineering design: Survey and recommendations
• Manifold mapping: a two-level optimization technique

This page was built for publication: Surrogate-Based Methods