Research Article
An Accelerated Fixed-Point Algorithm Applied to Quadratic Convex Separable Knapsack Problems
Table 1
Uncorrelated tests for state-of-the-art algorithms.
| Dimension | Iterations | Time (sec) | Error | | Avg | Max | Min | Avg | Max | Min | ā |
| FPA2 | 500000 | 5.3 | 8 | 4 | 0.010 | 0.018 | 0.009 | 0 | 1000000 | 5.5 | 10 | 4 | 0.021 | 0.032 | 0.018 | 0 | 10000000 | 5.4 | 10 | 4 | 0.354 | 0.406 | 0.324 | 0 | 50000000 | 5.3 | 8 | 3 | 1.774 | 1.964 | 1.556 | 0 |
| Newton | 500000 | 5.3 | 8 | 4 | 0.018 | 0.023 | 0.015 | 0 | 1000000 | 5.5 | 10 | 4 | 0.038 | 0.047 | 0.030 | 0 | 10000000 | 5.2 | 10 | 4 | 0.434 | 0.535 | 0.346 | 0 | 50000000 | 5.2 | 7 | 3 | 2.181 | 2.649 | 1.555 | 0 |
| Variable fixing | 500000 | 8.8 | 11 | 8 | 0.022 | 0.025 | 0.021 | 0 | 1000000 | 9.0 | 12 | 7 | 0.047 | 0.053 | 0.041 | 0 | 10000000 | 9.3 | 12 | 8 | 0.539 | 0.622 | 0.468 | 0 | 50000000 | 9.5 | 11 | 8 | 2.718 | 3.065 | 2.377 | 0 |
| FPA | 500000 | 5.3 | 8 | 4 | 0.011 | 0.020 | 0.010 | 0 | 1000000 | 5.5 | 10 | 4 | 0.023 | 0.036 | 0.020 | 0 | 10000000 | 5.4 | 10 | 4 | 0.416 | 0.482 | 0.377 | 0 | 50000000 | 5.3 | 8 | 3 | 2.078 | 2.360 | 1.904 | 0 |
| Secant | 500000 | 8.7 | 14 | 7 | 0.020 | 0.028 | 0.014 | 0 | 1000000 | 8.6 | 13 | 6 | 0.041 | 0.059 | 0.029 | 0 | 10000000 | 8.5 | 14 | 7 | 0.443 | 0.658 | 0.285 | 0 | 50000000 | 8.5 | 12 | 6 | 2.323 | 3.254 | 1.426 | 0 |
| Median search | 500000 | 19.9 | 20 | 19 | 0.037 | 0.040 | 0.032 | 0 | 1000000 | 20.8 | 21 | 20 | 0.077 | 0.085 | 0.067 | 0 | 10000000 | 24.3 | 25 | 24 | 0.895 | 1.010 | 0.785 | 0 | 50000000 | 26.7 | 27 | 26 | 4.562 | 5.059 | 4.189 | 0 |
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