A Hybridization of Local and Global Search for Dynamic Multi-Objective Optimization Problem
Table 1: Values of IGD and HV metrics
| No prob. |
NSGA-2 with LS |
NSGA-2 |
| Alternation |
LS before NSGA-2 |
LS after NSGA-2 |
|
| IGD |
HV |
IGD |
HV |
IGD |
HV |
IGD |
HV |
| 1 |
0.15831 |
1.18294 |
0.19951 |
1.10575 |
0.22891 |
1.09941 |
0.24181 |
1.06783 |
| 2 |
0.13664 |
8.84502 |
0.13135 |
8.83680 |
0.17930 |
8.72473 |
0.13273 |
8.83830 |
| 3 |
0.27566 |
3.93611 |
0.27652 |
3.93979 |
0.28041 |
3.89898 |
0.27810 |
3.93057 |
| 4 |
0.21380 |
1.40995 |
0.19552 |
1.43523 |
0.29542 |
1.36834 |
0.32332 |
0.79912 |
| 5 |
0.14873 |
3.14580 |
0.30786 |
2.94304 |
0.21872 |
3.05212 |
0.25991 |
2.99028 |
| 6 |
0.03699 |
1.82889 |
0.02972 |
1.83040 |
0.05016 |
1.81919 |
0.05536 |
1.80944 |
| 7 |
0.07263 |
1.56073 |
0.09210 |
1.51228 |
0.07406 |
1.55588 |
0.13462 |
1.43228 |
| 8 |
0.13232 |
2.84618 |
0.14258 |
2.82195 |
0.15882 |
2.84012 |
0.16076 |
2.74400 |
| 9 |
0.92868 |
0.99150 |
0.93187 |
0.98232 |
0.92869 |
0.98841 |
0.94605 |
0.96717 |
| 10 |
0.13661 |
7.11163 |
0.13582 |
6.97979 |
0.15161 |
7.18540 |
0.15841 |
6.80160 |
| 11 |
0.03914 |
0.94229 |
0.03838 |
0.93752 |
0.04327 |
0.94733 |
0.05949 |
0.89729 |
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