Name
Title | ||
|---|---|---|
A new loss function for multi-response optimization with model parameter uncertainty and implementation errors. |
Abstract | ||
|---|---|---|
•We propose a robust version of the loss function method.•An interpretable expression is derived for explaining different uncertainties.•Model parameter uncertainty and implementation errors have different effects on the optimization results.•Existing loss function methods are special cases of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.ejor.2016.09.045 | European Journal of Operational Research |
Keywords | Field | DocType |
Quality management,Multi-response optimization,Model parameter uncertainty,Implementation errors,Robustness | Mathematical optimization,Probabilistic-based design optimization,Work in process,Computer science,Uncertainty analysis,Robustness (computer science),Product design,Model parameter,Quality management,Random simulation | Journal |
Volume | Issue | ISSN |
258 | 2 | 0377-2217 |
Citations | PageRank | References |
3 | 0.42 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linhan Ouyang | 1 | 8 | 1.24 |
| Yizhong Ma | 2 | 9 | 2.61 |
| Jianjun Wang | 3 | 8 | 1.74 |
| Yiliu Tu | 4 | 111 | 15.46 |