Response surface optimization for a nonlinearly constrained irregular experimental design space

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dc.authorid57146825100
dc.authorid7401747631
dc.contributor.authorOzdemir A.
dc.contributor.authorCho B.R.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:00Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:00Z
dc.date.issued2019
dc.departmentBayburt Üniversitesien_US
dc.description.abstractFinding optimum conditions for process factors in an engineering optimization problem with response surface functions requires structured data collection using experimental design. When the experimental design space is constrained owing to external factors, its design space may form an asymmetrical and irregular shape and thus standard experimental design methods become ineffective. Computer-generated optimal designs, such as D-optimal designs, provide alternatives. While several iterative exchange algorithms for D-optimal designs are available for a linearly constrained irregular design space, it has not been clearly understood how D-optimal design points need to be generated when the design space is nonlinearly constrained and how response surface models are optimized. This article proposes an algorithm for generating the D-optimal design points that satisfy both feasibility and optimality conditions by using piecewise linear functions on the design space. The D-optimality-based response surface design models are proposed and optimization procedures are then analysed. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.identifier.doi10.1080/0305215X.2019.1569000
dc.identifier.issn0305-215X
dc.identifier.scopus2-s2.0-85061444812en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://dx.doi.org/10.1080/0305215X.2019.1569000
dc.identifier.urihttps://hdl.handle.net/20.500.12403/331
dc.identifier.wosWOS:000489903200002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor and Francis Ltd.
dc.relation.ispartofEngineering Optimizationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectD-optimality
dc.subjectoptimal designs
dc.subjectoptimization
dc.subjectQuality
dc.subjectresponse surface
dc.subjectConstrained optimization
dc.subjectImage quality
dc.subjectIterative methods
dc.subjectOptimal systems
dc.subjectOptimization
dc.subjectPiecewise linear techniques
dc.subjectStatistics
dc.subjectSurface properties
dc.subjectD-optimality
dc.subjectEngineering optimization problems
dc.subjectExperimental design method
dc.subjectOptimal design
dc.subjectPiece-wise linear functions
dc.subjectResponse surface
dc.subjectResponse surface functions
dc.subjectResponse surface optimization
dc.subjectDesign
dc.subjectD-optimality
dc.subjectoptimal designs
dc.subjectoptimization
dc.subjectQuality
dc.subjectresponse surface
dc.subjectConstrained optimization
dc.subjectImage quality
dc.subjectIterative methods
dc.subjectOptimal systems
dc.subjectOptimization
dc.subjectPiecewise linear techniques
dc.subjectStatistics
dc.subjectSurface properties
dc.subjectD-optimality
dc.subjectEngineering optimization problems
dc.subjectExperimental design method
dc.subjectOptimal design
dc.subjectPiece-wise linear functions
dc.subjectResponse surface
dc.subjectResponse surface functions
dc.subjectResponse surface optimization
dc.subjectDesign
dc.titleResponse surface optimization for a nonlinearly constrained irregular experimental design spaceen_US
dc.typeArticleen_US

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