caa a22 4500 463244184 CHVBK 20180405153321.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s00158-006-0051-9 doi (NATIONALLICENCE)springer-10.1007/s00158-006-0051-9 Ensemble of surrogates [Elektronische Daten] [Tushar Goel, Raphael Haftka, Wei Shyy, Nestor Queipo] The custom in surrogate-based modeling of complex engineering problems is to fit one or more surrogate models and select the one surrogate model that performs best. In this paper, we extend the utility of an ensemble of surrogates to (1) identify regions of possible high errors at locations where predictions of surrogates widely differ, and (2) provide a more robust approximation approach. We explore the possibility of using the best surrogate or a weighted average surrogate model instead of individual surrogate models. The weights associated with each surrogate model are determined based on the errors in surrogates. We demonstrate the advantages of an ensemble of surrogates using analytical problems and one engineering problem. We show that for a single problem the choice of test surrogate can depend on the design of experiments. Springer-Verlag, 2006 Multiple surrogate models nationallicence Polynomial response surfaces nationallicence Kriging nationallicence Radial basis neural networks nationallicence Goel Tushar University of Florida, 32611, Gainesville, FL, USA aut Haftka Raphael University of Florida, 32611, Gainesville, FL, USA aut Shyy Wei University of Michigan, 48109, Ann Arbor, MI, USA aut Queipo Nestor University of Zulia, Maracaibo, Venezuela aut Structural and Multidisciplinary Optimization Springer-Verlag 33/3(2007-03-01), 199-216 1615-147X 33:3<199 2007 33 158 https://doi.org/10.1007/s00158-006-0051-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00158-006-0051-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Goel Tushar University of Florida, 32611, Gainesville, FL, USA aut NATIONALLICENCE 700 1- Haftka Raphael University of Florida, 32611, Gainesville, FL, USA aut NATIONALLICENCE 700 1- Shyy Wei University of Michigan, 48109, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Queipo Nestor University of Zulia, Maracaibo, Venezuela aut NATIONALLICENCE 773 0- Structural and Multidisciplinary Optimization Springer-Verlag 33/3(2007-03-01), 199-216 1615-147X 33:3<199 2007 33 158 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer