This page shows the benchmarks results for the dataset instance “house-sparse25”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -65.361.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-65.361 |
-65.3692 |
yes
|
100.00% |
dd-ls3 |
-65.361 |
-65.3623 |
yes
|
100.00% |
dd-ls4 |
-48.8512 |
-71.0774 |
no
|
76.67% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-65.361 |
-65.361 |
yes
|
100.00% |
fm |
-65.361 |
-78.8412 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-65.361 |
-inf |
yes
|
100.00% |
hbp |
-65.361 |
-65.7331 |
yes
|
100.00% |
ipfps |
-65.361 |
-inf |
yes
|
100.00% |
ipfpu |
-65.361 |
-inf |
yes
|
100.00% |
lsm |
-62.1586 |
-inf |
no
|
93.33% |
mp |
-65.361 |
-65.361 |
yes
|
100.00% |
mp-fw |
-65.361 |
-65.361 |
yes
|
100.00% |
mpm |
-60.6365 |
-inf |
no
|
90.00% |
mp-mcf |
-65.361 |
-65.361 |
yes
|
100.00% |
pm |
-52.5857 |
-inf |
no
|
80.00% |
rrwm |
-65.361 |
-inf |
yes
|
100.00% |
sm |
-65.361 |
-inf |
yes
|
100.00% |
smac |
-10.5747 |
-inf |
no
|
0.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-65.361 |
-65.3692 |
yes
|
100.00% |
dd-ls3 |
-65.361 |
-65.3623 |
yes
|
100.00% |
dd-ls4 |
-65.361 |
-65.3718 |
yes
|
100.00% |
fgmd |
-65.361 |
-inf |
yes
|
100.00% |
fm-bca |
-65.361 |
-65.361 |
yes
|
100.00% |
fm |
-65.361 |
-78.8412 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-65.361 |
-inf |
yes
|
100.00% |
hbp |
-65.361 |
-65.7331 |
yes
|
100.00% |
ipfps |
-65.361 |
-inf |
yes
|
100.00% |
ipfpu |
-65.361 |
-inf |
yes
|
100.00% |
lsm |
-62.1586 |
-inf |
no
|
93.33% |
mp |
-65.361 |
-65.361 |
yes
|
100.00% |
mp-fw |
-65.361 |
-65.361 |
yes
|
100.00% |
mpm |
-60.6365 |
-inf |
no
|
90.00% |
mp-mcf |
-65.361 |
-65.361 |
yes
|
100.00% |
pm |
-52.5857 |
-inf |
no
|
80.00% |
rrwm |
-65.361 |
-inf |
yes
|
100.00% |
sm |
-65.361 |
-inf |
yes
|
100.00% |
smac |
-10.5747 |
-inf |
no
|
0.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-65.361 |
-65.3692 |
yes
|
100.00% |
dd-ls3 |
-65.361 |
-65.3623 |
yes
|
100.00% |
dd-ls4 |
-65.361 |
-65.3718 |
yes
|
100.00% |
fgmd |
-65.361 |
-inf |
yes
|
100.00% |
fm-bca |
-65.361 |
-65.361 |
yes
|
100.00% |
fm |
-65.361 |
-78.8412 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-65.361 |
-inf |
yes
|
100.00% |
hbp |
-65.361 |
-65.7331 |
yes
|
100.00% |
ipfps |
-65.361 |
-inf |
yes
|
100.00% |
ipfpu |
-65.361 |
-inf |
yes
|
100.00% |
lsm |
-62.1586 |
-inf |
no
|
93.33% |
mp |
-65.361 |
-65.361 |
yes
|
100.00% |
mp-fw |
-65.361 |
-65.361 |
yes
|
100.00% |
mpm |
-60.6365 |
-inf |
no
|
90.00% |
mp-mcf |
-65.361 |
-65.361 |
yes
|
100.00% |
pm |
-52.5857 |
-inf |
no
|
80.00% |
rrwm |
-65.361 |
-inf |
yes
|
100.00% |
sm |
-65.361 |
-inf |
yes
|
100.00% |
smac |
-10.5747 |
-inf |
no
|
0.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-65.361 |
-65.3692 |
yes
|
100.00% |
dd-ls3 |
-65.361 |
-65.3623 |
yes
|
100.00% |
dd-ls4 |
-65.361 |
-65.3718 |
yes
|
100.00% |
fgmd |
-65.361 |
-inf |
yes
|
100.00% |
fm-bca |
-65.361 |
-65.361 |
yes
|
100.00% |
fm |
-65.361 |
-78.8412 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-65.361 |
-inf |
yes
|
100.00% |
hbp |
-65.361 |
-65.7331 |
yes
|
100.00% |
ipfps |
-65.361 |
-inf |
yes
|
100.00% |
ipfpu |
-65.361 |
-inf |
yes
|
100.00% |
lsm |
-62.1586 |
-inf |
no
|
93.33% |
mp |
-65.361 |
-65.361 |
yes
|
100.00% |
mp-fw |
-65.361 |
-65.361 |
yes
|
100.00% |
mpm |
-60.6365 |
-inf |
no
|
90.00% |
mp-mcf |
-65.361 |
-65.361 |
yes
|
100.00% |
pm |
-52.5857 |
-inf |
no
|
80.00% |
rrwm |
-65.361 |
-inf |
yes
|
100.00% |
sm |
-65.361 |
-inf |
yes
|
100.00% |
smac |
-10.5747 |
-inf |
no
|
0.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
house-sparse
Results for individual instances of the dataset: