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QUANTILE SIMULATION OPTIMIZATION WITH STOCHASTIC CO-KRIGING MODEL

2018 Winter Simulation Conference (WSC), 2018
Songhao Wang   +2 more
openaire   +2 more sources

Singular value decomposition as an equation solver in co-kriging matrices

2012
One of the most significant elements in solving the co-kriging equations is the matrix solver. In this paper, the singular value decomposition (SVD) as an equation solver is proposed to solve the co-kriging matrices. Given that other equation solvers have various drawbacks, the SVD presents an alternative for solving the co-kriging matrices. The SVD is
Kumral, M., Dowd, P.
openaire   +1 more source

Rapid Estimation of the Aerodynamic Coefficients of a Missile via Co-Kriging

Journal of the Korean Society for Aeronautical & Space Sciences, 2020
Shinseong Kang, Kyunghoon Lee
openaire   +1 more source

A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning

IEEE Transactions on Evolutionary Computation, 2021
Dawei Zhan, Huanlai Xing
exaly  

A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems

Reliability Engineering and System Safety, 2021
Chao Jiang, Qing Li, Xu Han
exaly  

Kriging metamodeling in simulation: A review

European Journal of Operational Research, 2009
Jack P C Kleijnen
exaly  

Blind Kriging: A New Method for Developing Metamodels

Journal of Mechanical Design, Transactions of the ASME, 2008
Ying Hung   +2 more
exaly  

Reliability assessment with density scanned adaptive Kriging

Reliability Engineering and System Safety, 2020
Maria Nogal, Alan O'Connor, Rui Teixeira
exaly  

Two accuracy measures of the Kriging model for structural reliability analysis

Reliability Engineering and System Safety, 2017
Wang Jian
exaly  

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