Combining iterative heuristic optimization and uncertainty analysis methods for robust parameter design

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dc.contributor.authorDelpiano, Jose
dc.contributor.authorSepulveda, Marcos
dc.date.accessioned2024-01-10T13:11:51Z
dc.date.available2024-01-10T13:11:51Z
dc.date.issued2006
dc.description.abstractA number of investigators have pointed out that products and processes lack quality because of performance inconsistency, which is often due to uncontrollable parameters in the manufacturing process or product usage. Robust design methods are aimed at finding product/process designs that are less sensitive to parameter variation. Robust design of computer simulations requires a large number of runs, which are very time consuming. A novel methodology for robust design is presented in this article. It integrates an iterative heuristic optimization method with uncertainty analysis to achieve effective variability reductions, exploring a large parameter domain with an accessible number of simulations. To demonstrate the effectiveness of this methodology, the robust design of a 0.15 mu m CMOS device is shown.
dc.fechaingreso.objetodigital2024-05-08
dc.format.extent11 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1080/03052150600747079
dc.identifier.eissn1029-0273
dc.identifier.issn0305-215X
dc.identifier.urihttps://doi.org/10.1080/03052150600747079
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78105
dc.identifier.wosidWOS:000240965500005
dc.information.autorucIngeniería;Sepúlveda M;S/I;80415
dc.issue.numero7
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final831
dc.pagina.inicio821
dc.publisherTAYLOR & FRANCIS LTD
dc.revistaENGINEERING OPTIMIZATION
dc.rightsacceso restringido
dc.subjectrobust design
dc.subjectcomputer simulations
dc.subjectuncertainty analysis
dc.subjectheuristic optimization
dc.subjectresponse surface modelling
dc.subjectMODELS
dc.subject.ods02 Zero Hunger
dc.subject.odspa02 Hambre cero
dc.titleCombining iterative heuristic optimization and uncertainty analysis methods for robust parameter design
dc.typeartículo
dc.volumen38
sipa.codpersvinculados80415
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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