Performance of an ensemble of ordinary, universal, non-stationary and limit Kriging predictors

Structural and Multidisciplinary Optimization

Volumn 47, Issue 6, 2013, Pages 893-903

  Toal, David J ^a   Keane, Andy J ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Ensemble; Kriging; Surrogate modelling

Indexed keywords

ANALYTICAL FUNCTIONS; ENGINEERING DESIGN PROBLEMS; ENSEMBLE; HIGH-DIMENSIONAL PROBLEMS; KRIGING; MODELLING STRATEGIES; NON-STATIONARY KRIGING; SURROGATE MODELLING;

COMPUTER SIMULATION; FUEL ADDITIVES;

INTERPOLATION;

EID: 84879111941     PISSN: 1615147X     EISSN: 16151488     Source Type: Journal    
DOI: 10.1007/s00158-012-0866-5     Document Type: Article

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