Managing computational complexity using surrogate models: a critical review
In simulation-based realization of complex systems, we are forced to address the issue of
computational complexity. One critical issue that must be addressed is the approximation of …
computational complexity. One critical issue that must be addressed is the approximation of …
Review of surrogate modeling in water resources
Surrogate modeling, also called metamodeling, has evolved and been extensively used
over the past decades. A wide variety of methods and tools have been introduced for …
over the past decades. A wide variety of methods and tools have been introduced for …
[图书][B] Uncertainty quantification: theory, implementation, and applications
RC Smith - 2024 - SIAM
Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …
engineering, and biological applications using mechanistic models. From a broad …
[图书][B] Surrogate-model-based design and optimization
Surrogate-Model-Based Design and Optimization | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Special section on multidisciplinary design optimization: metamodeling in multidisciplinary design optimization: how far have we really come?
The use of metamodeling techniques in the design and analysis of computer experiments
has progressed remarkably in the past 25 years, but how far has the field really come? This …
has progressed remarkably in the past 25 years, but how far has the field really come? This …
Hierarchical kriging model for variable-fidelity surrogate modeling
ZH Han, S Görtz - AIAA journal, 2012 - arc.aiaa.org
SURROGATE modeling plays an increasingly important role in different areas of aerospace
science and engineering, such as aerodynamic data production, aerodynamic shape …
science and engineering, such as aerodynamic data production, aerodynamic shape …
Kriging metamodeling in simulation: A review
JPC Kleijnen - European journal of operational research, 2009 - Elsevier
This article reviews Kriging (also called spatial correlation modeling). It presents the basic
Kriging assumptions and formulas—contrasting Kriging and classic linear regression …
Kriging assumptions and formulas—contrasting Kriging and classic linear regression …
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
Evolutionary algorithms are widely used for solving multiobjective optimization problems but
are often criticized because of a large number of function evaluations needed …
are often criticized because of a large number of function evaluations needed …
[图书][B] Design and analysis of simulation experiments
JPC Kleijnen - 2018 - Springer
This contribution summarizes the design and analysis of experiments with computerized
simulation models. It focuses on two metamodel (surrogate, emulator) types, namely first …
simulation models. It focuses on two metamodel (surrogate, emulator) types, namely first …
Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function
ZH Han, S Görtz, R Zimmermann - Aerospace Science and technology, 2013 - Elsevier
Variable-fidelity surrogate modeling offers an efficient way to generate aerodynamic data for
aero-loads prediction based on a set of CFD methods with varying degree of fidelity and …
aero-loads prediction based on a set of CFD methods with varying degree of fidelity and …