This page shows the benchmarks results for the dataset instance “car12”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -57.36.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.3608 |
-57.3611 |
yes
|
100.00% |
dd-ls3 |
-57.3608 |
-58.8663 |
yes
|
100.00% |
dd-ls4 |
-35.6327 |
-64.3685 |
no
|
53.57% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-57.3608 |
-57.3608 |
yes
|
100.00% |
fm |
-57.3608 |
-91.6738 |
yes
|
100.00% |
fw |
-47.1586 |
-inf |
no
|
39.29% |
ga |
-57.3608 |
-inf |
yes
|
100.00% |
hbp |
-57.3608 |
-59.1605 |
yes
|
100.00% |
ipfps |
-51.3974 |
-inf |
no
|
75.00% |
ipfpu |
-54.6667 |
-inf |
no
|
85.71% |
lsm |
-50.8058 |
-inf |
no
|
71.43% |
mp |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mp-fw |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mpm |
-45.6908 |
-inf |
no
|
71.43% |
mp-mcf |
-57.3608 |
-57.3608 |
yes
|
100.00% |
pm |
-26.6434 |
-inf |
no
|
25.00% |
rrwm |
-57.3608 |
-inf |
yes
|
100.00% |
sm |
-42.0567 |
-inf |
no
|
60.71% |
smac |
-42.9156 |
-inf |
no
|
50.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.3608 |
-57.3611 |
yes
|
100.00% |
dd-ls3 |
-57.3608 |
-57.3615 |
yes
|
100.00% |
dd-ls4 |
-57.3608 |
-57.4458 |
yes
|
100.00% |
fgmd |
-57.3608 |
-inf |
yes
|
100.00% |
fm-bca |
-57.3608 |
-57.3608 |
yes
|
100.00% |
fm |
-57.3608 |
-91.6738 |
yes
|
100.00% |
fw |
-47.1586 |
-inf |
no
|
39.29% |
ga |
-57.3608 |
-inf |
yes
|
100.00% |
hbp |
-57.3608 |
-59.1605 |
yes
|
100.00% |
ipfps |
-51.3974 |
-inf |
no
|
75.00% |
ipfpu |
-54.6667 |
-inf |
no
|
85.71% |
lsm |
-50.8058 |
-inf |
no
|
71.43% |
mp |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mp-fw |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mpm |
-45.6908 |
-inf |
no
|
71.43% |
mp-mcf |
-57.3608 |
-57.3608 |
yes
|
100.00% |
pm |
-26.6434 |
-inf |
no
|
25.00% |
rrwm |
-57.3608 |
-inf |
yes
|
100.00% |
sm |
-42.0567 |
-inf |
no
|
60.71% |
smac |
-42.9156 |
-inf |
no
|
50.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.3608 |
-57.3611 |
yes
|
100.00% |
dd-ls3 |
-57.3608 |
-57.3615 |
yes
|
100.00% |
dd-ls4 |
-57.3608 |
-57.3631 |
yes
|
100.00% |
fgmd |
-57.3608 |
-inf |
yes
|
100.00% |
fm-bca |
-57.3608 |
-57.3608 |
yes
|
100.00% |
fm |
-57.3608 |
-91.6738 |
yes
|
100.00% |
fw |
-47.1586 |
-inf |
no
|
39.29% |
ga |
-57.3608 |
-inf |
yes
|
100.00% |
hbp |
-57.3608 |
-59.1605 |
yes
|
100.00% |
ipfps |
-51.3974 |
-inf |
no
|
75.00% |
ipfpu |
-54.6667 |
-inf |
no
|
85.71% |
lsm |
-50.8058 |
-inf |
no
|
71.43% |
mp |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mp-fw |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mpm |
-45.6908 |
-inf |
no
|
71.43% |
mp-mcf |
-57.3608 |
-57.3608 |
yes
|
100.00% |
pm |
-26.6434 |
-inf |
no
|
25.00% |
rrwm |
-57.3608 |
-inf |
yes
|
100.00% |
sm |
-42.0567 |
-inf |
no
|
60.71% |
smac |
-42.9156 |
-inf |
no
|
50.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.3608 |
-57.3611 |
yes
|
100.00% |
dd-ls3 |
-57.3608 |
-57.3615 |
yes
|
100.00% |
dd-ls4 |
-57.3608 |
-57.3631 |
yes
|
100.00% |
fgmd |
-57.3608 |
-inf |
yes
|
100.00% |
fm-bca |
-57.3608 |
-57.3608 |
yes
|
100.00% |
fm |
-57.3608 |
-91.6738 |
yes
|
100.00% |
fw |
-47.1586 |
-inf |
no
|
39.29% |
ga |
-57.3608 |
-inf |
yes
|
100.00% |
hbp |
-57.3608 |
-59.1605 |
yes
|
100.00% |
ipfps |
-51.3974 |
-inf |
no
|
75.00% |
ipfpu |
-54.6667 |
-inf |
no
|
85.71% |
lsm |
-50.8058 |
-inf |
no
|
71.43% |
mp |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mp-fw |
-57.3608 |
-57.3608 |
yes
|
100.00% |
mpm |
-45.6908 |
-inf |
no
|
71.43% |
mp-mcf |
-57.3608 |
-57.3608 |
yes
|
100.00% |
pm |
-26.6434 |
-inf |
no
|
25.00% |
rrwm |
-57.3608 |
-inf |
yes
|
100.00% |
sm |
-42.0567 |
-inf |
no
|
60.71% |
smac |
-42.9156 |
-inf |
no
|
50.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: