Table 7.
Average IGD and S value for NSEDA-C and robust optimization algorithms
| NSEDA-C | MOEA-R | RPSGA-G | ||
|---|---|---|---|---|
|
t0 = 30 45 50 T = 20 |
IGD | 5.781E + 04 | 8.100E + 04 | 7.862E + 04 |
| p value | – | 2.922E-09+ | 5.072E-10+ | |
| S | 8.361E + 05 | 4.091E + 05 | 2.518E + 05 | |
|
t0 = 30 45 50 T = 30 |
IGD | 2.853E + 07 | 2.854E + 07 | 2.855E + 07 |
| p value | – | 1.868E-05+ | 6.528E-08+ | |
| S | 3.205E + 06 | 7.029E + 05 | 8.204E + 05 | |
|
t0 = 30 30 35 T = 20 |
IGD | 2.838E + 04 | 4.770E + 04 | 4.798E + 04 |
| p value | – | 3.020E-11+ | 3.020E-11+ | |
| S | 2.716E + 05 | 2.245E + 05 | 1.368E + 05 | |
|
t0 = 30 30 35 T = 30 |
IGD | 1.109E + 07 | 1.110E + 07 | 1.110E + 07 |
| p value | – | 6.722E-10+ | 9.919E-11+ | |
| S | 2.357E + 06 | 1.116E + 06 | 9.964E + 05 |
The p-values smaller than 0.05 indicate that the difference are significance and are highlighted with bold. What's more, the algorithms with the smallest IGD and S value are also highlighted with bold to indicate their good performances.