Variable Fidelity Optimization Using a Kriging Based Scaling Function

By Shawn E. Gano, B. Sanders, John E. Renaud. 2004

81 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4740043380657fe04ef245303a4a0b106bdc846e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Stefan Görtz
2. Zhonghua Han
3. Yew-Soon Ong
4. Jianfei Cai
5. Haitao Liu

In Management Science and Operations Research

1. Zhonghua Han
2. Stefan Görtz

In Statistics and Probability

1. Stefan Görtz
2. Zhonghua Han
3. Yew-Soon Ong
4. Jianfei Cai
5. Haitao Liu

Citations in the corpus

• Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling (2012, methodology): “To represent more complicated correlation between low- and high-fidelity functions, a hybrid multiplicative/ additive bridge function method was proposed in [16,17] for variable-fidelity optimization.”