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Article: An effective algorithm for generation of factorial designs with generalized minimum aberration

TitleAn effective algorithm for generation of factorial designs with generalized minimum aberration
Authors
KeywordsLagrange analysis
Fractional factorial design
Generalized minimum aberration
Sub-design selection
Issue Date2007
Citation
Journal of Complexity, 2007, v. 23, n. 4-6, p. 740-751 How to Cite?
AbstractFractional factorial designs are popular and widely used for industrial experiments. Generalized minimum aberration is an important criterion recently proposed for both regular and non-regular designs. This paper provides a formal optimization treatment on optimal designs with generalized minimum aberration. New lower bounds and optimality results are developed for resolution-III designs. Based on these results, an effective computer search algorithm is provided for sub-design selection, and new optimal designs are reported. © 2007 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/230798
ISSN
2015 Impact Factor: 1.358
2015 SCImago Journal Rankings: 1.226

 

DC FieldValueLanguage
dc.contributor.authorFang, Kai Tai-
dc.contributor.authorZhang, Aijun-
dc.contributor.authorLi, Runze-
dc.date.accessioned2016-09-01T06:06:50Z-
dc.date.available2016-09-01T06:06:50Z-
dc.date.issued2007-
dc.identifier.citationJournal of Complexity, 2007, v. 23, n. 4-6, p. 740-751-
dc.identifier.issn0885-064X-
dc.identifier.urihttp://hdl.handle.net/10722/230798-
dc.description.abstractFractional factorial designs are popular and widely used for industrial experiments. Generalized minimum aberration is an important criterion recently proposed for both regular and non-regular designs. This paper provides a formal optimization treatment on optimal designs with generalized minimum aberration. New lower bounds and optimality results are developed for resolution-III designs. Based on these results, an effective computer search algorithm is provided for sub-design selection, and new optimal designs are reported. © 2007 Elsevier Inc. All rights reserved.-
dc.languageeng-
dc.relation.ispartofJournal of Complexity-
dc.subjectLagrange analysis-
dc.subjectFractional factorial design-
dc.subjectGeneralized minimum aberration-
dc.subjectSub-design selection-
dc.titleAn effective algorithm for generation of factorial designs with generalized minimum aberration-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jco.2007.03.010-
dc.identifier.scopuseid_2-s2.0-36249012447-
dc.identifier.volume23-
dc.identifier.issue4-6-
dc.identifier.spage740-
dc.identifier.epage751-
dc.identifier.eissn1090-2708-

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