Robust design with arbitrary distributions using Gauss-type quadrature formula
By Sanghoon Lee, Wei Chen, Byung Man Kwak. 2009
91 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/5fa6e2a8a07f4ba89f392dc6ec79ec744494ea03
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In Computational Theory and Mathematics
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Level set based robust shape and topology optimization under random field uncertainties (2010, methodology): “The number of g(z) evaluations for this calculation is m1 + · ··+ mn + 1w heremi is the number of nodes used for the calculation of moments of g_i . The UDR method offers a more efficient approach than the TPQ method, however, the method might not be accurate when there exists strong interactions be”
- A modified Benders decomposition method for efficient robust optimization under interval uncertainty (2011, background): “Other approaches also consider distributions for uncertainty (e.g., Lee et al. 2009; Lagaros and Papadrakakis 2007) while the approach of this paper looks at a worst-case analysis for interval uncertainty without any explicit probability distribution or a nested optimization structure.”