This page shows the benchmarks results for the dataset instance “car22”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -55.58.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-55.5774 |
-55.5832 |
yes
|
100.00% |
dd-ls3 |
-55.5774 |
-55.5776 |
yes
|
100.00% |
dd-ls4 |
-52.8437 |
-57.4208 |
no
|
92.31% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-55.5774 |
-55.5774 |
yes
|
100.00% |
fm |
-55.5774 |
-80.9342 |
yes
|
100.00% |
fw |
-48.4211 |
-inf |
no
|
88.46% |
ga |
-55.5774 |
-inf |
yes
|
100.00% |
hbp |
-55.5774 |
-56.2685 |
yes
|
100.00% |
ipfps |
-55.5774 |
-inf |
yes
|
100.00% |
ipfpu |
-55.5774 |
-inf |
yes
|
100.00% |
lsm |
-39.0095 |
-inf |
no
|
46.15% |
mp |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mp-fw |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mpm |
-40.2078 |
-inf |
no
|
57.69% |
mp-mcf |
-55.5774 |
-55.5774 |
yes
|
100.00% |
pm |
-27.8102 |
-inf |
no
|
30.77% |
rrwm |
-55.5774 |
-inf |
yes
|
100.00% |
sm |
-55.5774 |
-inf |
yes
|
100.00% |
smac |
-27.4834 |
-inf |
no
|
7.69% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-55.5774 |
-55.5832 |
yes
|
100.00% |
dd-ls3 |
-55.5774 |
-55.5776 |
yes
|
100.00% |
dd-ls4 |
-55.5774 |
-55.579 |
yes
|
100.00% |
fgmd |
-55.5774 |
-inf |
yes
|
100.00% |
fm-bca |
-55.5774 |
-55.5774 |
yes
|
100.00% |
fm |
-55.5774 |
-80.9342 |
yes
|
100.00% |
fw |
-48.4211 |
-inf |
no
|
88.46% |
ga |
-55.5774 |
-inf |
yes
|
100.00% |
hbp |
-55.5774 |
-56.2685 |
yes
|
100.00% |
ipfps |
-55.5774 |
-inf |
yes
|
100.00% |
ipfpu |
-55.5774 |
-inf |
yes
|
100.00% |
lsm |
-39.0095 |
-inf |
no
|
46.15% |
mp |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mp-fw |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mpm |
-40.2078 |
-inf |
no
|
57.69% |
mp-mcf |
-55.5774 |
-55.5774 |
yes
|
100.00% |
pm |
-27.8102 |
-inf |
no
|
30.77% |
rrwm |
-55.5774 |
-inf |
yes
|
100.00% |
sm |
-55.5774 |
-inf |
yes
|
100.00% |
smac |
-27.4834 |
-inf |
no
|
7.69% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-55.5774 |
-55.5832 |
yes
|
100.00% |
dd-ls3 |
-55.5774 |
-55.5776 |
yes
|
100.00% |
dd-ls4 |
-55.5774 |
-55.579 |
yes
|
100.00% |
fgmd |
-55.5774 |
-inf |
yes
|
100.00% |
fm-bca |
-55.5774 |
-55.5774 |
yes
|
100.00% |
fm |
-55.5774 |
-80.9342 |
yes
|
100.00% |
fw |
-48.4211 |
-inf |
no
|
88.46% |
ga |
-55.5774 |
-inf |
yes
|
100.00% |
hbp |
-55.5774 |
-56.2685 |
yes
|
100.00% |
ipfps |
-55.5774 |
-inf |
yes
|
100.00% |
ipfpu |
-55.5774 |
-inf |
yes
|
100.00% |
lsm |
-39.0095 |
-inf |
no
|
46.15% |
mp |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mp-fw |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mpm |
-40.2078 |
-inf |
no
|
57.69% |
mp-mcf |
-55.5774 |
-55.5774 |
yes
|
100.00% |
pm |
-27.8102 |
-inf |
no
|
30.77% |
rrwm |
-55.5774 |
-inf |
yes
|
100.00% |
sm |
-55.5774 |
-inf |
yes
|
100.00% |
smac |
-27.4834 |
-inf |
no
|
7.69% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-55.5774 |
-55.5832 |
yes
|
100.00% |
dd-ls3 |
-55.5774 |
-55.5776 |
yes
|
100.00% |
dd-ls4 |
-55.5774 |
-55.579 |
yes
|
100.00% |
fgmd |
-55.5774 |
-inf |
yes
|
100.00% |
fm-bca |
-55.5774 |
-55.5774 |
yes
|
100.00% |
fm |
-55.5774 |
-80.9342 |
yes
|
100.00% |
fw |
-48.4211 |
-inf |
no
|
88.46% |
ga |
-55.5774 |
-inf |
yes
|
100.00% |
hbp |
-55.5774 |
-56.2685 |
yes
|
100.00% |
ipfps |
-55.5774 |
-inf |
yes
|
100.00% |
ipfpu |
-55.5774 |
-inf |
yes
|
100.00% |
lsm |
-39.0095 |
-inf |
no
|
46.15% |
mp |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mp-fw |
-55.5774 |
-55.5774 |
yes
|
100.00% |
mpm |
-40.2078 |
-inf |
no
|
57.69% |
mp-mcf |
-55.5774 |
-55.5774 |
yes
|
100.00% |
pm |
-27.8102 |
-inf |
no
|
30.77% |
rrwm |
-55.5774 |
-inf |
yes
|
100.00% |
sm |
-55.5774 |
-inf |
yes
|
100.00% |
smac |
-27.4834 |
-inf |
no
|
7.69% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: