Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034778684> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2034778684 abstract "The use of approximate models or metamodeling has lead to new areas of research in the optimization of computer simulations. Metamodeling approaches have advantages over traditional techniques when dealing with the noisy responses and/or high computational cost characteristic of many computer simulations, most notably those in MDO. While a number of methods in the literature discuss how to exploit the benefits of metamodeling approaches, one particular algorithm, Efficient Global Optimization (EGO), is the focus of this paper. Specifically, we look at the criteria used by the algorithm to select additional points to add to the data set used in fitting the metamodel. In addition to modifications to the original criterion, three criteria originally proposed for use in infill sampling in the field of geostatistics are explored. The impact of these criteria on the search strategy of EGO is examined through several analytical examples. In addition, several enhancements to EGO are explored. Finally, a case study is presented using a computer simulation to predict the fuel economy of hybrid vehicles." @default.
- W2034778684 created "2016-06-24" @default.
- W2034778684 creator A5029082567 @default.
- W2034778684 creator A5071736810 @default.
- W2034778684 creator A5076715699 @default.
- W2034778684 date "2000-08-22" @default.
- W2034778684 modified "2023-10-13" @default.
- W2034778684 title "Metamodeling sampling criteria in a global optimization framework" @default.
- W2034778684 cites W1510052597 @default.
- W2034778684 cites W1969156716 @default.
- W2034778684 cites W2106149502 @default.
- W2034778684 cites W2113741278 @default.
- W2034778684 cites W2146791662 @default.
- W2034778684 doi "https://doi.org/10.2514/6.2000-4921" @default.
- W2034778684 hasPublicationYear "2000" @default.
- W2034778684 type Work @default.
- W2034778684 sameAs 2034778684 @default.
- W2034778684 citedByCount "33" @default.
- W2034778684 countsByYear W20347786842012 @default.
- W2034778684 countsByYear W20347786842013 @default.
- W2034778684 countsByYear W20347786842016 @default.
- W2034778684 countsByYear W20347786842017 @default.
- W2034778684 countsByYear W20347786842018 @default.
- W2034778684 countsByYear W20347786842020 @default.
- W2034778684 crossrefType "proceedings-article" @default.
- W2034778684 hasAuthorship W2034778684A5029082567 @default.
- W2034778684 hasAuthorship W2034778684A5071736810 @default.
- W2034778684 hasAuthorship W2034778684A5076715699 @default.
- W2034778684 hasBestOaLocation W20347786842 @default.
- W2034778684 hasConcept C115903868 @default.
- W2034778684 hasConcept C140779682 @default.
- W2034778684 hasConcept C41008148 @default.
- W2034778684 hasConcept C76155785 @default.
- W2034778684 hasConcept C86610423 @default.
- W2034778684 hasConcept C94915269 @default.
- W2034778684 hasConceptScore W2034778684C115903868 @default.
- W2034778684 hasConceptScore W2034778684C140779682 @default.
- W2034778684 hasConceptScore W2034778684C41008148 @default.
- W2034778684 hasConceptScore W2034778684C76155785 @default.
- W2034778684 hasConceptScore W2034778684C86610423 @default.
- W2034778684 hasConceptScore W2034778684C94915269 @default.
- W2034778684 hasLocation W20347786841 @default.
- W2034778684 hasLocation W20347786842 @default.
- W2034778684 hasLocation W20347786843 @default.
- W2034778684 hasOpenAccess W2034778684 @default.
- W2034778684 hasPrimaryLocation W20347786841 @default.
- W2034778684 hasRelatedWork W1624341602 @default.
- W2034778684 hasRelatedWork W1696104979 @default.
- W2034778684 hasRelatedWork W2028960158 @default.
- W2034778684 hasRelatedWork W2051688983 @default.
- W2034778684 hasRelatedWork W2398647274 @default.
- W2034778684 hasRelatedWork W2557306573 @default.
- W2034778684 hasRelatedWork W2630312803 @default.
- W2034778684 hasRelatedWork W2945122953 @default.
- W2034778684 hasRelatedWork W2997835113 @default.
- W2034778684 hasRelatedWork W4289927748 @default.
- W2034778684 isParatext "false" @default.
- W2034778684 isRetracted "false" @default.
- W2034778684 magId "2034778684" @default.
- W2034778684 workType "article" @default.