This page shows the benchmarks results for the dataset instance “car9”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -62.4.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-62.3987 |
-62.4065 |
yes
|
100.00% |
dd-ls3 |
-62.3987 |
-62.4079 |
yes
|
100.00% |
dd-ls4 |
-62.3987 |
-62.4311 |
yes
|
100.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-62.3987 |
-62.3987 |
yes
|
100.00% |
fm |
-62.3987 |
-79.704 |
yes
|
100.00% |
fw |
-56.0075 |
-inf |
no
|
84.00% |
ga |
-62.3987 |
-inf |
yes
|
100.00% |
hbp |
-62.3987 |
-62.6462 |
yes
|
100.00% |
ipfps |
-62.3987 |
-inf |
yes
|
100.00% |
ipfpu |
-62.3987 |
-inf |
yes
|
100.00% |
lsm |
-51.7983 |
-inf |
no
|
76.00% |
mp |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mp-fw |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mpm |
-58.9174 |
-inf |
no
|
88.00% |
mp-mcf |
-62.3987 |
-62.3987 |
yes
|
100.00% |
pm |
-35.4174 |
-inf |
no
|
48.00% |
rrwm |
-62.3987 |
-inf |
yes
|
100.00% |
sm |
-55.2212 |
-inf |
no
|
84.00% |
smac |
-57.4347 |
-inf |
no
|
84.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-62.3987 |
-62.4065 |
yes
|
100.00% |
dd-ls3 |
-62.3987 |
-62.4079 |
yes
|
100.00% |
dd-ls4 |
-62.3987 |
-62.3991 |
yes
|
100.00% |
fgmd |
-62.3987 |
-inf |
yes
|
100.00% |
fm-bca |
-62.3987 |
-62.3987 |
yes
|
100.00% |
fm |
-62.3987 |
-79.704 |
yes
|
100.00% |
fw |
-56.0075 |
-inf |
no
|
84.00% |
ga |
-62.3987 |
-inf |
yes
|
100.00% |
hbp |
-62.3987 |
-62.6462 |
yes
|
100.00% |
ipfps |
-62.3987 |
-inf |
yes
|
100.00% |
ipfpu |
-62.3987 |
-inf |
yes
|
100.00% |
lsm |
-51.7983 |
-inf |
no
|
76.00% |
mp |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mp-fw |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mpm |
-58.9174 |
-inf |
no
|
88.00% |
mp-mcf |
-62.3987 |
-62.3987 |
yes
|
100.00% |
pm |
-35.4174 |
-inf |
no
|
48.00% |
rrwm |
-62.3987 |
-inf |
yes
|
100.00% |
sm |
-55.2212 |
-inf |
no
|
84.00% |
smac |
-57.4347 |
-inf |
no
|
84.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-62.3987 |
-62.4065 |
yes
|
100.00% |
dd-ls3 |
-62.3987 |
-62.4079 |
yes
|
100.00% |
dd-ls4 |
-62.3987 |
-62.3991 |
yes
|
100.00% |
fgmd |
-62.3987 |
-inf |
yes
|
100.00% |
fm-bca |
-62.3987 |
-62.3987 |
yes
|
100.00% |
fm |
-62.3987 |
-79.704 |
yes
|
100.00% |
fw |
-56.0075 |
-inf |
no
|
84.00% |
ga |
-62.3987 |
-inf |
yes
|
100.00% |
hbp |
-62.3987 |
-62.6462 |
yes
|
100.00% |
ipfps |
-62.3987 |
-inf |
yes
|
100.00% |
ipfpu |
-62.3987 |
-inf |
yes
|
100.00% |
lsm |
-51.7983 |
-inf |
no
|
76.00% |
mp |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mp-fw |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mpm |
-58.9174 |
-inf |
no
|
88.00% |
mp-mcf |
-62.3987 |
-62.3987 |
yes
|
100.00% |
pm |
-35.4174 |
-inf |
no
|
48.00% |
rrwm |
-62.3987 |
-inf |
yes
|
100.00% |
sm |
-55.2212 |
-inf |
no
|
84.00% |
smac |
-57.4347 |
-inf |
no
|
84.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-62.3987 |
-62.4065 |
yes
|
100.00% |
dd-ls3 |
-62.3987 |
-62.4079 |
yes
|
100.00% |
dd-ls4 |
-62.3987 |
-62.3991 |
yes
|
100.00% |
fgmd |
-62.3987 |
-inf |
yes
|
100.00% |
fm-bca |
-62.3987 |
-62.3987 |
yes
|
100.00% |
fm |
-62.3987 |
-79.704 |
yes
|
100.00% |
fw |
-56.0075 |
-inf |
no
|
84.00% |
ga |
-62.3987 |
-inf |
yes
|
100.00% |
hbp |
-62.3987 |
-62.6462 |
yes
|
100.00% |
ipfps |
-62.3987 |
-inf |
yes
|
100.00% |
ipfpu |
-62.3987 |
-inf |
yes
|
100.00% |
lsm |
-51.7983 |
-inf |
no
|
76.00% |
mp |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mp-fw |
-62.3987 |
-62.3987 |
yes
|
100.00% |
mpm |
-58.9174 |
-inf |
no
|
88.00% |
mp-mcf |
-62.3987 |
-62.3987 |
yes
|
100.00% |
pm |
-35.4174 |
-inf |
no
|
48.00% |
rrwm |
-62.3987 |
-inf |
yes
|
100.00% |
sm |
-55.2212 |
-inf |
no
|
84.00% |
smac |
-57.4347 |
-inf |
no
|
84.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: