Research Article
Evidence-Based Multidisciplinary Design Optimization with the Active Global Kriging Model
Table 4
Computational results of Case 1.
| Probability constraints | Methods | | | | | Objective | of PF |
| ā | DO | 1.600 | 0.800 | 0 | 0.6670 | 3.200 | ā | | EBMDO-MDF | 1.712 | 0.754 | 0 | 0.1299 | 3.4525 | 26 | EBMDO-CO | 1.703 | 0.752 | 0 | 0.12876 | 3.4657 | 26 | MCS | 1.700 | 0.750 | 0 | 0.1230 | 3.4525 | | | EBMDO-MDF | 1.710 | 0.803 | 0 | 0.05031 | 3.56891 | 26 | EBMDO-CO | 1.706 | 0.804 | 0 | 0.05018 | 3.55685 | 26 | MCS | 1.700 | 0.800 | 0 | 0.0502 | 3.530 | | | EBMDO-MDF | 1.723 | 0.858 | 0 | 0 | 3.70489 | 26 | EBMDO-CO | 1.726 | 0.851 | 0 | 0 | 3.70328 | 26 | MCS | 1.725 | 0.850 | 0 | 0 | 3.69813 | |
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