This page shows the benchmarks results for the dataset instance “car2”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -48.85.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-48.8472 |
-48.8472 |
yes
|
79.17% |
dd-ls3 |
-48.8472 |
-49.0938 |
yes
|
79.17% |
dd-ls4 |
-40.2869 |
-52.3898 |
no
|
75.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-48.8472 |
-49.8225 |
yes
|
79.17% |
fm |
-48.8472 |
-74.1128 |
yes
|
79.17% |
fw |
-47.1385 |
-inf |
no
|
62.50% |
ga |
-48.6217 |
-inf |
no
|
75.00% |
hbp |
-48.8472 |
-52.9778 |
yes
|
79.17% |
ipfps |
-45.4184 |
-inf |
no
|
79.17% |
ipfpu |
-45.4184 |
-inf |
no
|
79.17% |
lsm |
-31.2195 |
-inf |
no
|
29.17% |
mp |
-48.8472 |
-49.9576 |
yes
|
79.17% |
mp-fw |
-48.8472 |
-49.4992 |
yes
|
79.17% |
mpm |
-45.9967 |
-inf |
no
|
62.50% |
mp-mcf |
-48.8472 |
-49.1351 |
yes
|
79.17% |
pm |
-29.6128 |
-inf |
no
|
50.00% |
rrwm |
-48.6217 |
-inf |
no
|
75.00% |
sm |
-45.4184 |
-inf |
no
|
79.17% |
smac |
-27.5281 |
-inf |
no
|
25.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-48.8472 |
-48.8472 |
yes
|
79.17% |
dd-ls3 |
-48.8472 |
-48.8473 |
yes
|
79.17% |
dd-ls4 |
-48.8472 |
-48.8504 |
yes
|
79.17% |
fgmd |
-48.8472 |
-inf |
yes
|
79.17% |
fm-bca |
-48.8472 |
-49.8224 |
yes
|
79.17% |
fm |
-48.8472 |
-74.1128 |
yes
|
79.17% |
fw |
-47.1385 |
-inf |
no
|
62.50% |
ga |
-48.6217 |
-inf |
no
|
75.00% |
hbp |
-48.8472 |
-52.9778 |
yes
|
79.17% |
ipfps |
-45.4184 |
-inf |
no
|
79.17% |
ipfpu |
-45.4184 |
-inf |
no
|
79.17% |
lsm |
-31.2195 |
-inf |
no
|
29.17% |
mp |
-48.8472 |
-49.9574 |
yes
|
79.17% |
mp-fw |
-48.8472 |
-49.0173 |
yes
|
79.17% |
mpm |
-45.9967 |
-inf |
no
|
62.50% |
mp-mcf |
-48.8472 |
-49.0191 |
yes
|
79.17% |
pm |
-29.6128 |
-inf |
no
|
50.00% |
rrwm |
-48.6217 |
-inf |
no
|
75.00% |
sm |
-45.4184 |
-inf |
no
|
79.17% |
smac |
-27.5281 |
-inf |
no
|
25.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-48.8472 |
-48.8472 |
yes
|
79.17% |
dd-ls3 |
-48.8472 |
-48.8473 |
yes
|
79.17% |
dd-ls4 |
-48.8472 |
-48.8504 |
yes
|
79.17% |
fgmd |
-48.8472 |
-inf |
yes
|
79.17% |
fm-bca |
-48.8472 |
-49.8224 |
yes
|
79.17% |
fm |
-48.8472 |
-74.1128 |
yes
|
79.17% |
fw |
-47.1385 |
-inf |
no
|
62.50% |
ga |
-48.6217 |
-inf |
no
|
75.00% |
hbp |
-48.8472 |
-52.9778 |
yes
|
79.17% |
ipfps |
-45.4184 |
-inf |
no
|
79.17% |
ipfpu |
-45.4184 |
-inf |
no
|
79.17% |
lsm |
-31.2195 |
-inf |
no
|
29.17% |
mp |
-48.8472 |
-49.9574 |
yes
|
79.17% |
mp-fw |
-48.8472 |
-48.8486 |
yes
|
79.17% |
mpm |
-45.9967 |
-inf |
no
|
62.50% |
mp-mcf |
-48.8472 |
-48.8472 |
yes
|
79.17% |
pm |
-29.6128 |
-inf |
no
|
50.00% |
rrwm |
-48.6217 |
-inf |
no
|
75.00% |
sm |
-45.4184 |
-inf |
no
|
79.17% |
smac |
-27.5281 |
-inf |
no
|
25.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-48.8472 |
-48.8472 |
yes
|
79.17% |
dd-ls3 |
-48.8472 |
-48.8473 |
yes
|
79.17% |
dd-ls4 |
-48.8472 |
-48.8504 |
yes
|
79.17% |
fgmd |
-48.8472 |
-inf |
yes
|
79.17% |
fm-bca |
-48.8472 |
-49.8224 |
yes
|
79.17% |
fm |
-48.8472 |
-74.1128 |
yes
|
79.17% |
fw |
-47.1385 |
-inf |
no
|
62.50% |
ga |
-48.6217 |
-inf |
no
|
75.00% |
hbp |
-48.8472 |
-52.9778 |
yes
|
79.17% |
ipfps |
-45.4184 |
-inf |
no
|
79.17% |
ipfpu |
-45.4184 |
-inf |
no
|
79.17% |
lsm |
-31.2195 |
-inf |
no
|
29.17% |
mp |
-48.8472 |
-49.9574 |
yes
|
79.17% |
mp-fw |
-48.8472 |
-48.8472 |
yes
|
79.17% |
mpm |
-45.9967 |
-inf |
no
|
62.50% |
mp-mcf |
-48.8472 |
-48.8472 |
yes
|
79.17% |
pm |
-29.6128 |
-inf |
no
|
50.00% |
rrwm |
-48.6217 |
-inf |
no
|
75.00% |
sm |
-45.4184 |
-inf |
no
|
79.17% |
smac |
-27.5281 |
-inf |
no
|
25.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: