A Hybridization of Local and Global Search for Dynamic Multi-Objective Optimization Problem
Table 2: Values of IGD and HV metrics in the case of the applying LS to a part of the population
| No prob. |
Alternation |
NSGA-2 |
| All individuals |
10 individuals |
25 individuals |
|
| IGD |
HV |
IGD |
HV |
IGD |
HV |
IGD |
HV |
| 1 |
0.15831 |
1.18294 |
0.11825 |
1.24655 |
0.11510 |
1.24649 |
0.24181 |
1.06783 |
| 2 |
0.13664 |
8.84502 |
0.12464 |
8.87218 |
0.12552 |
8.87211 |
0.13273 |
8.83830 |
| 3 |
0.27566 |
3.93611 |
0.27518 |
3.94809 |
0.27503 |
3.94630 |
0.27810 |
3.93057 |
| 4 |
0.21380 |
1.40995 |
0.07517 |
1.69591 |
0.12872 |
1.61027 |
0.32332 |
0.79912 |
| 5 |
0.14873 |
3.14580 |
0.08656 |
3.25419 |
0.22150 |
3.09795 |
0.25991 |
2.99028 |
| 6 |
0.03699 |
1.82889 |
0.03638 |
1.82775 |
0.02969 |
1.83326 |
0.05536 |
1.80944 |
| 7 |
0.07263 |
1.56073 |
0.05084 |
1.61097 |
0.05740 |
1.59544 |
0.13462 |
1.43228 |
| 8 |
0.13232 |
2.84618 |
0.15559 |
2.83323 |
0.15240 |
2.84090 |
0.16076 |
2.74400 |
| 9 |
0.92868 |
0.99150 |
0.92207 |
0.98738 |
0.92260 |
0.99146 |
0.94605 |
0.96717 |
| 10 |
0.13661 |
7.11163 |
0.13100 |
7.08420 |
0.13485 |
7.10742 |
0.15841 |
6.80160 |
| 11 |
0.03914 |
0.94229 |
0.03880 |
0.94350 |
0.03882 |
0.94516 |
0.05949 |
0.89729 |
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