Research Article
Biobjective Optimization Algorithms Using Neumann Series Expansion for Engineering Design
Table 4
Detailed design variables and its corresponding responses compared with the original design and the result obtained by test.
| Model | Design variables | Acceleration | (Gpa) (Gpa) | | |
| Original model | 0.0015 | 7.5e-4 | 0.3 | 230.5 | 127.8 | Optimal design | 0.0054 | 6e-4 | 0.3 | 236.7 | 136.0 | Calibration requirement | — | — | — | 225–275 | 100–150 reference goes here | Test result | — | — | — | 250.14 | 137.1 | Error | — | — | — | −5.37% | −0.80% | Optimal percentage | — | — | — | 2.48% | 5.98% |
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