Development of gradient-enhanced kriging approximations for multidisciplinary design optimization

2003

59 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/10dec79160a396cf1cef60bafb5566a1f104a1cf

Citations in the corpus

• Performance study of multi-fidelity gradient enhanced kriging (2015, unknown): “Liu (2003) further investigated indirect GEK and proposed an alternative approach based on Neural Networks trained with both function and gradient information, but its performance is lower than indirect GEK.”
• Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function (2013, unknown): “[18] [19] [20] [33] [34] [37]”
• Review of surrogate modeling in water resources (2012, methodology): “[1996] and Maschler and Savic [1999] develop ‘‘model reduction methods’’ to simplify water distribution network models by eliminating less important pipes and nodes and allocating their demands to the neighboring nodes. Shamir and Salomons [2008] and Preis et al. [2011] utilize the model reduction m”
• Building Efficient Response Surfaces of Aerodynamic Functions with Kriging and Cokriging (2008, methodology): “General comparison between Kriging and Cokriging existed only on analytic functions [18, 19].”