Research Article
The Evolutionary Algorithm to Find Robust Pareto-Optimal Solutions over Time
Table 2
Comparison of the number of robust pareto fronts (NRPFs) on 100 time-varying moments under different
.
| Functions | Measures | | | | | | | | | | | | |
| FDA1 | NRPFs | | 70.9 | 61 | 50 | 37.4 | 35.9 | 30 | 33.1 | 30 | | 0.3162 | 0 | 0 | 0.5164 | 0.3162 | 0 | 0.7379 | 0 |
| FDA2 | NRPFs | | 40 | 19 | 9 | 9.4 | 1 | 1.8 | 2 | 1.6 | | 0 | 0 | 0 | 1.2649 | 0 | 0.4216 | 0 | 0.5164 |
| FDA3 | NRPFs | | 83.4 | 69 | 64 | 51.2 | 45.5 | 35.5 | 34.7 | 30.8 | | 0.5164 | 0 | 0 | 0.6325 | 1.5811 | 0.9718 | 0.4830 | 0.6325 |
| FDA4 | NRPFs | | 79 | 69.5 | 56 | 42.4 | 36.1 | 33.4 | 28.9 | 29.9 | | 0 | 1.5811 | 0 | 1.2649 | 1.4491 | 1.3499 | 0.3162 | 0.3162 |
| FDA5 | NRPFs | | 90 | 90 | 70 | 58.5 | 50 | 61.7 | 45 | 35 | | 0 | 0 | 0 | 1.0801 | 0 | 0.4830 | 0 | 0 |
| DMOP1 | NRPFs | | 24.8 | 5.9 | 6 | 1 | 1 | 1 | 1 | 1 | | 0.6325 | 1.4491 | 0 | 0 | 0 | 0 | 0 | 0 |
| DMOP2 | NRPFs | | 76.4 | 68 | 54.5 | 39.3 | 32.3 | 32.8 | 29.2 | 28 | | 1.2649 | 0 | 0.7071 | 1.1595 | 0.9487 | 0.6325 | 0.7888 | 0 |
| DMOP3 | NRPFs | | 90 | 89.6 | 84.6 | 78.8 | 80 | 80 | 80 | 79.8 | | 0 | 0.5164 | 0.6992 | 1.0328 | 0 | 0 | 0 | 0.6325 |
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