This page shows the benchmarks results for the dataset “car”.
The reported values, bounds and accuracies are averaged across all instances of the dataset.
Run time 1s
method |
avg value |
avg bound |
feasible |
optimal |
accuracy |
dd-ls0 |
-69.3346 |
-69.4221 |
30 / 30 |
29 / 30 |
91.15% |
dd-ls3 |
-56.8328 |
-74.7414 |
30 / 30 |
14 / 30 |
74.02% |
dd-ls4 |
-49.3798 |
-78.2581 |
30 / 30 |
1 / 30 |
58.51% |
fgmd |
inf |
-inf |
0 / 30 |
0 / 30 |
– |
fm-bca |
-69.3578 |
-70.6514 |
30 / 30 |
28 / 30 |
91.66% |
fm |
-68.9494 |
-106.915 |
30 / 30 |
23 / 30 |
87.97% |
fw |
-63.0926 |
-inf |
30 / 30 |
2 / 30 |
62.61% |
ga |
-68.4517 |
-inf |
30 / 30 |
17 / 30 |
83.58% |
hbp |
inf |
-inf |
23 / 30 |
23 / 30 |
– |
ipfps |
-65.2093 |
-inf |
30 / 30 |
3 / 30 |
79.67% |
ipfpu |
-60.2257 |
-inf |
30 / 30 |
2 / 30 |
68.81% |
lsm |
-51.2689 |
-inf |
30 / 30 |
0 / 30 |
51.89% |
mp |
-69.048 |
-70.5785 |
30 / 30 |
24 / 30 |
92.04% |
mp-fw |
-69.2954 |
-70.6551 |
30 / 30 |
27 / 30 |
90.64% |
mpm |
inf |
-inf |
23 / 30 |
2 / 30 |
– |
mp-mcf |
-69.0429 |
-70.4127 |
30 / 30 |
26 / 30 |
90.75% |
pm |
-34.6061 |
-inf |
30 / 30 |
0 / 30 |
23.03% |
rrwm |
-68.0112 |
-inf |
30 / 30 |
11 / 30 |
86.86% |
sm |
-62.7421 |
-inf |
30 / 30 |
2 / 30 |
75.85% |
smac |
-52.1913 |
-inf |
30 / 30 |
0 / 30 |
52.11% |
Run time 10s
method |
avg value |
avg bound |
feasible |
optimal |
accuracy |
dd-ls0 |
-69.3352 |
-69.4186 |
30 / 30 |
29 / 30 |
91.15% |
dd-ls3 |
-67.6957 |
-69.7691 |
30 / 30 |
26 / 30 |
89.59% |
dd-ls4 |
-59.4165 |
-73.0657 |
30 / 30 |
17 / 30 |
77.28% |
fgmd |
inf |
-inf |
29 / 30 |
25 / 30 |
– |
fm-bca |
-69.3611 |
-70.646 |
30 / 30 |
29 / 30 |
91.76% |
fm |
-69.0768 |
-106.915 |
30 / 30 |
27 / 30 |
89.02% |
fw |
-63.0926 |
-inf |
30 / 30 |
2 / 30 |
62.61% |
ga |
-68.4517 |
-inf |
30 / 30 |
17 / 30 |
83.58% |
hbp |
inf |
-inf |
28 / 30 |
26 / 30 |
– |
ipfps |
-65.2093 |
-inf |
30 / 30 |
3 / 30 |
79.67% |
ipfpu |
-60.2257 |
-inf |
30 / 30 |
2 / 30 |
68.81% |
lsm |
-51.2689 |
-inf |
30 / 30 |
0 / 30 |
51.89% |
mp |
-69.1376 |
-70.5569 |
30 / 30 |
25 / 30 |
92.42% |
mp-fw |
-69.3619 |
-70.1549 |
30 / 30 |
29 / 30 |
91.43% |
mpm |
-56.9838 |
-inf |
30 / 30 |
2 / 30 |
64.89% |
mp-mcf |
-69.1532 |
-69.9693 |
30 / 30 |
27 / 30 |
91.13% |
pm |
-34.6061 |
-inf |
30 / 30 |
0 / 30 |
23.03% |
rrwm |
-68.0112 |
-inf |
30 / 30 |
11 / 30 |
86.86% |
sm |
-62.7421 |
-inf |
30 / 30 |
2 / 30 |
75.85% |
smac |
-52.1913 |
-inf |
30 / 30 |
0 / 30 |
52.11% |
Run time 100s
method |
avg value |
avg bound |
feasible |
optimal |
accuracy |
dd-ls0 |
-69.3352 |
-69.4186 |
30 / 30 |
29 / 30 |
91.15% |
dd-ls3 |
-69.363 |
-69.4026 |
30 / 30 |
29 / 30 |
91.15% |
dd-ls4 |
-67.4528 |
-69.8103 |
30 / 30 |
26 / 30 |
89.40% |
fgmd |
-69.0821 |
-inf |
30 / 30 |
25 / 30 |
89.09% |
fm-bca |
-69.3613 |
-70.646 |
30 / 30 |
29 / 30 |
91.66% |
fm |
-69.0768 |
-106.915 |
30 / 30 |
27 / 30 |
89.02% |
fw |
-63.0926 |
-inf |
30 / 30 |
2 / 30 |
62.61% |
ga |
-68.4517 |
-inf |
30 / 30 |
17 / 30 |
83.58% |
hbp |
-69.2069 |
-72.7786 |
30 / 30 |
26 / 30 |
90.51% |
ipfps |
-65.2093 |
-inf |
30 / 30 |
3 / 30 |
79.67% |
ipfpu |
-60.2257 |
-inf |
30 / 30 |
2 / 30 |
68.81% |
lsm |
-51.2689 |
-inf |
30 / 30 |
0 / 30 |
51.89% |
mp |
-69.2371 |
-70.5566 |
30 / 30 |
26 / 30 |
92.13% |
mp-fw |
-69.3712 |
-69.6033 |
30 / 30 |
30 / 30 |
91.35% |
mpm |
-56.9838 |
-inf |
30 / 30 |
2 / 30 |
64.89% |
mp-mcf |
-69.2868 |
-69.5731 |
30 / 30 |
28 / 30 |
91.23% |
pm |
-34.6061 |
-inf |
30 / 30 |
0 / 30 |
23.03% |
rrwm |
-68.0112 |
-inf |
30 / 30 |
11 / 30 |
86.86% |
sm |
-62.7421 |
-inf |
30 / 30 |
2 / 30 |
75.85% |
smac |
-52.1913 |
-inf |
30 / 30 |
0 / 30 |
52.11% |
Run time 300s
method |
avg value |
avg bound |
feasible |
optimal |
accuracy |
dd-ls0 |
-69.3352 |
-69.4186 |
30 / 30 |
29 / 30 |
91.15% |
dd-ls3 |
-69.363 |
-69.4026 |
30 / 30 |
29 / 30 |
91.15% |
dd-ls4 |
-69.3389 |
-69.4115 |
30 / 30 |
29 / 30 |
91.83% |
fgmd |
-69.0821 |
-inf |
30 / 30 |
25 / 30 |
89.09% |
fm-bca |
-69.3613 |
-70.646 |
30 / 30 |
29 / 30 |
91.66% |
fm |
-69.0768 |
-106.915 |
30 / 30 |
27 / 30 |
89.02% |
fw |
-63.0926 |
-inf |
30 / 30 |
2 / 30 |
62.61% |
ga |
-68.4517 |
-inf |
30 / 30 |
17 / 30 |
83.58% |
hbp |
-69.2069 |
-72.7786 |
30 / 30 |
26 / 30 |
90.51% |
ipfps |
-65.2093 |
-inf |
30 / 30 |
3 / 30 |
79.67% |
ipfpu |
-60.2257 |
-inf |
30 / 30 |
2 / 30 |
68.81% |
lsm |
-51.2689 |
-inf |
30 / 30 |
0 / 30 |
51.89% |
mp |
-69.2371 |
-70.5565 |
30 / 30 |
26 / 30 |
92.13% |
mp-fw |
-69.3712 |
-69.5464 |
30 / 30 |
30 / 30 |
91.35% |
mpm |
-56.9838 |
-inf |
30 / 30 |
2 / 30 |
64.89% |
mp-mcf |
-69.3001 |
-69.5379 |
30 / 30 |
28 / 30 |
91.38% |
pm |
-34.6061 |
-inf |
30 / 30 |
0 / 30 |
23.03% |
rrwm |
-68.0112 |
-inf |
30 / 30 |
11 / 30 |
86.86% |
sm |
-62.7421 |
-inf |
30 / 30 |
2 / 30 |
75.85% |
smac |
-52.1913 |
-inf |
30 / 30 |
0 / 30 |
52.11% |
Per Instance Results
Results for individual instances of the dataset are also available: