Name
Abstract | ||
|---|---|---|
The threshold accepting (TA) algorithm, a stochastic heuristic technique, has been proposed as an effective method for constructing uniform designs (UDs). However, some flaws of this algorithm have been detected recently, especially when optimizing designs with large sizes. This paper proposes an adjusted TA algorithm that can overcome the defects of traditional TA. This new algorithm successfully updated the website UD tables by designs with better uniformity. Furthermore, the adjusted TA helps us to obtain a new UD with 27 runs and 13 factors each having 3 levels under the mixture L2-discrepancy. This UD is a minimum aberration design. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jco.2017.05.002 | Journal of Complexity |
Keywords | Field | DocType |
Level permutation,Minimum aberration,Mixture L2-discrepancy,Threshold accepting algorithm,Uniform design | Heuristic,Uniform design,Effective method,Algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
43 | C | 0885-064X |
Citations | PageRank | References |
3 | 0.49 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-Tai Fang | 1 | 165 | 23.65 |
| Xiao Ke | 2 | 5 | 2.21 |
| A. M. Elsawah | 3 | 8 | 2.05 |