Structural optimization using Kriging approximation

By S. Sakata, F. Ashida, M. Zako. 2003

233 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/82dbf438eec0c67160c1befbf1b4bc132335d036

How researchers see this paper

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

In Civil and Structural Engineering

1. Andy J. Keane
2. Neil W. Bressloff
3. David J. J. Toal
4. Donald H. Burn
5. Pan Wang
6. Zhenzhou Lu
7. Bryan Tolson
8. Saman Razavi

In Computational Theory and Mathematics

1. Andy J. Keane
2. Neil W. Bressloff
3. David J. J. Toal
4. Saman Razavi
5. Donald H. Burn
6. Bryan Tolson
7. Carren M. E. Holden
8. Pan Wang

In Statistics and Probability

1. Neil W. Bressloff
2. David J. J. Toal
3. Andy J. Keane
4. Saman Razavi
5. Donald H. Burn
6. Bryan Tolson
7. Carren M. E. Holden
8. Pan Wang

Citations in the corpus

• Kriging Hyperparameter Tuning Strategies (2008, background): “or after taking the natural log of the function ( 5 )”
• Review of surrogate modeling in water resources (2012, background): “…which is also sometimes referred to as design and analysis of computer experiment (DACE) in the surrogate modeling context [Sacks et al., 1989; Sakata et al., 2003; Simpson and Mistree, 2001], k nearest neighbors (kNN) [Ostfeld and Salomons, 2005], artificial neural networks (ANNs) [Behzadian…”
• An efficient algorithm for Kriging approximation and optimization with large-scale sampling data (2004, background): “Keywords: Kriging estimation; Sherman–Morrison–Woodbury formula; Computational cost; Structural optimization”
• Numerical assessment of metamodelling strategies in computationally intensive optimization (2012, background): “, 2002; Sudret, 2008), kriging which is sometimes called design and analysis of computer experiment (DACE) in the metamodelling context (Kleijnen, 2005; Sacks et al., 1989; Sakata et al., 2003; Santner et al., 2003; Simpson and Mistree, 2001), smoothing splines ANOVA models (Gu, 2002; Ratto and Paga”
• Geometric Filtration Using Proper Orthogonal Decomposition for Aerodynamic Design Optimization (2010, methodology): “[12] in the creation of surrogate models of deterministic computational experiments and has been used successfully in the optimization of a number of different design problems [13–16].”
• An application of the Kriging method in global sensitivity analysis with parameter uncertainty (2013, background): “j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / a p m [13] and reliability analysis [14].”