Name
Title | ||
|---|---|---|
An Effective Algorithm for Generation of Factorial Designs with Generalized Minimum Aberration. |
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.jco.2007.03.010 | J. Complexity |
Keywords | DocType | Volume |
important criterion,new lower bound,generalized minimum aberration,effective algorithm,optimal design,lagrange analysis,non-regular design,new optimal design,fractional factorial design,formal optimization treatment,industrial experiment,effective computer search algorithm,sub-design selection | Journal | 23 |
Issue | ISSN | Citations |
4-6 | 0885-064X | 1 |
PageRank | References | Authors |
0.42 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-Tai Fang | 1 | 165 | 23.65 |
| Aijun Zhang | 2 | 3 | 2.87 |
| Runze Li | 3 | 112 | 20.80 |