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- Publisher Website: 10.1016/j.jco.2007.03.010
- Scopus: eid_2-s2.0-36249012447
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Article: An effective algorithm for generation of factorial designs with generalized minimum aberration
| Title | An effective algorithm for generation of factorial designs with generalized minimum aberration |
|---|---|
| Authors | |
| Keywords | Lagrange analysis Fractional factorial design Generalized minimum aberration Sub-design selection |
| Issue Date | 2007 |
| Citation | Journal of Complexity, 2007, v. 23, n. 4-6, p. 740-751 How to Cite? |
| Abstract | Fractional 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 Identifier | http://hdl.handle.net/10722/230798 |
| ISSN | 2023 Impact Factor: 1.8 2023 SCImago Journal Rankings: 1.115 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fang, Kai Tai | - |
| dc.contributor.author | Zhang, Aijun | - |
| dc.contributor.author | Li, Runze | - |
| dc.date.accessioned | 2016-09-01T06:06:50Z | - |
| dc.date.available | 2016-09-01T06:06:50Z | - |
| dc.date.issued | 2007 | - |
| dc.identifier.citation | Journal of Complexity, 2007, v. 23, n. 4-6, p. 740-751 | - |
| dc.identifier.issn | 0885-064X | - |
| dc.identifier.uri | http://hdl.handle.net/10722/230798 | - |
| dc.description.abstract | Fractional 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.language | eng | - |
| dc.relation.ispartof | Journal of Complexity | - |
| dc.subject | Lagrange analysis | - |
| dc.subject | Fractional factorial design | - |
| dc.subject | Generalized minimum aberration | - |
| dc.subject | Sub-design selection | - |
| dc.title | An effective algorithm for generation of factorial designs with generalized minimum aberration | - |
| dc.type | Article | - |
| dc.description.nature | link_to_OA_fulltext | - |
| dc.identifier.doi | 10.1016/j.jco.2007.03.010 | - |
| dc.identifier.scopus | eid_2-s2.0-36249012447 | - |
| dc.identifier.volume | 23 | - |
| dc.identifier.issue | 4-6 | - |
| dc.identifier.spage | 740 | - |
| dc.identifier.epage | 751 | - |
| dc.identifier.eissn | 1090-2708 | - |
| dc.identifier.isi | WOS:000252102900021 | - |
| dc.identifier.issnl | 0885-064X | - |