Research Article
Improved Filter-SQP Algorithm with Active Set for Constrained Minimax Problems
Table 2
Test results obtained by Algorithm A and other relearnt algorithms.
| | No. | Method | NT | FV |
| |
1 (problem 1 in [9]) | LWM | 9 | 1.952224 | | XUE | 11 | 1.952224 | | ZZM | 11 | 1.952224 |
| |
2 (problem 4 in [9]) | LWM | 11 | 0.616234 | | XUE | 15 | 0.616234 | | ZZM | 11 | 0.616234 |
| |
3 (problem 1 in [10]) | LWM | 5 | 1.952224 | | RNM | 10 | 1.952224 | | ZZM | 10 | 1.952224 |
| |
4 (problem 2 in [10]) | LWM | 10 | 0.616432 | | RNM | 15 | 0.616234 | | ZZM | 12 | 0.616234 |
| |
5 (problem 4 in [10]) | LWM | 8 | 2.250000 | | RNM | 15 | 2.250000 | | ZZM | 11 | 2.250000 |
| |
6 (problem 5 in [10]) | LWM | 21 | −44.000000 | | RNM | 23 | −44.000000 | | ZZM | 23 | −43.998000 |
| |
7 (problem 6 in [10]) | LWM | 4 | 2.000000 | | RNM | 4 | 2.000000 | | ZZM | 4 | 2.000000 |
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