This page shows the benchmarks results for the dataset instance “car10”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -57.62.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.6169 |
-57.6317 |
yes
|
100.00% |
dd-ls3 |
-57.6169 |
-58.4723 |
yes
|
100.00% |
dd-ls4 |
-34.8194 |
-65.896 |
no
|
50.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-57.6169 |
-57.6169 |
yes
|
100.00% |
fm |
-57.6169 |
-90.3719 |
yes
|
100.00% |
fw |
-50.7314 |
-inf |
no
|
71.43% |
ga |
-57.6169 |
-inf |
yes
|
100.00% |
hbp |
-57.6169 |
-60.5104 |
yes
|
100.00% |
ipfps |
-54.0903 |
-inf |
no
|
78.57% |
ipfpu |
-55.2326 |
-inf |
no
|
85.71% |
lsm |
-28.6794 |
-inf |
no
|
10.71% |
mp |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mp-fw |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mpm |
-43.5935 |
-inf |
no
|
60.71% |
mp-mcf |
-57.6169 |
-57.6169 |
yes
|
100.00% |
pm |
-26.4024 |
-inf |
no
|
17.86% |
rrwm |
-57.6169 |
-inf |
yes
|
100.00% |
sm |
-55.117 |
-inf |
no
|
85.71% |
smac |
-47.6535 |
-inf |
no
|
60.71% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.6169 |
-57.6317 |
yes
|
100.00% |
dd-ls3 |
-57.6169 |
-57.62 |
yes
|
100.00% |
dd-ls4 |
-57.6169 |
-57.6273 |
yes
|
100.00% |
fgmd |
-57.6169 |
-inf |
yes
|
100.00% |
fm-bca |
-57.6169 |
-57.6169 |
yes
|
100.00% |
fm |
-57.6169 |
-90.3719 |
yes
|
100.00% |
fw |
-50.7314 |
-inf |
no
|
71.43% |
ga |
-57.6169 |
-inf |
yes
|
100.00% |
hbp |
-57.6169 |
-60.5104 |
yes
|
100.00% |
ipfps |
-54.0903 |
-inf |
no
|
78.57% |
ipfpu |
-55.2326 |
-inf |
no
|
85.71% |
lsm |
-28.6794 |
-inf |
no
|
10.71% |
mp |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mp-fw |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mpm |
-43.5935 |
-inf |
no
|
60.71% |
mp-mcf |
-57.6169 |
-57.6169 |
yes
|
100.00% |
pm |
-26.4024 |
-inf |
no
|
17.86% |
rrwm |
-57.6169 |
-inf |
yes
|
100.00% |
sm |
-55.117 |
-inf |
no
|
85.71% |
smac |
-47.6535 |
-inf |
no
|
60.71% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.6169 |
-57.6317 |
yes
|
100.00% |
dd-ls3 |
-57.6169 |
-57.62 |
yes
|
100.00% |
dd-ls4 |
-57.6169 |
-57.6243 |
yes
|
100.00% |
fgmd |
-57.6169 |
-inf |
yes
|
100.00% |
fm-bca |
-57.6169 |
-57.6169 |
yes
|
100.00% |
fm |
-57.6169 |
-90.3719 |
yes
|
100.00% |
fw |
-50.7314 |
-inf |
no
|
71.43% |
ga |
-57.6169 |
-inf |
yes
|
100.00% |
hbp |
-57.6169 |
-60.5104 |
yes
|
100.00% |
ipfps |
-54.0903 |
-inf |
no
|
78.57% |
ipfpu |
-55.2326 |
-inf |
no
|
85.71% |
lsm |
-28.6794 |
-inf |
no
|
10.71% |
mp |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mp-fw |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mpm |
-43.5935 |
-inf |
no
|
60.71% |
mp-mcf |
-57.6169 |
-57.6169 |
yes
|
100.00% |
pm |
-26.4024 |
-inf |
no
|
17.86% |
rrwm |
-57.6169 |
-inf |
yes
|
100.00% |
sm |
-55.117 |
-inf |
no
|
85.71% |
smac |
-47.6535 |
-inf |
no
|
60.71% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-57.6169 |
-57.6317 |
yes
|
100.00% |
dd-ls3 |
-57.6169 |
-57.62 |
yes
|
100.00% |
dd-ls4 |
-57.6169 |
-57.6243 |
yes
|
100.00% |
fgmd |
-57.6169 |
-inf |
yes
|
100.00% |
fm-bca |
-57.6169 |
-57.6169 |
yes
|
100.00% |
fm |
-57.6169 |
-90.3719 |
yes
|
100.00% |
fw |
-50.7314 |
-inf |
no
|
71.43% |
ga |
-57.6169 |
-inf |
yes
|
100.00% |
hbp |
-57.6169 |
-60.5104 |
yes
|
100.00% |
ipfps |
-54.0903 |
-inf |
no
|
78.57% |
ipfpu |
-55.2326 |
-inf |
no
|
85.71% |
lsm |
-28.6794 |
-inf |
no
|
10.71% |
mp |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mp-fw |
-57.6169 |
-57.6169 |
yes
|
100.00% |
mpm |
-43.5935 |
-inf |
no
|
60.71% |
mp-mcf |
-57.6169 |
-57.6169 |
yes
|
100.00% |
pm |
-26.4024 |
-inf |
no
|
17.86% |
rrwm |
-57.6169 |
-inf |
yes
|
100.00% |
sm |
-55.117 |
-inf |
no
|
85.71% |
smac |
-47.6535 |
-inf |
no
|
60.71% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: