This page shows the benchmarks results for the dataset instance “house-sparse29”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.9101.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.9101 |
-66.927 |
yes
|
100.00% |
dd-ls3 |
-66.9101 |
-66.9103 |
yes
|
100.00% |
dd-ls4 |
-66.9101 |
-72.0141 |
yes
|
100.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-66.9101 |
-66.9101 |
yes
|
100.00% |
fm |
-66.9101 |
-78.8697 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.9101 |
-inf |
yes
|
100.00% |
hbp |
-66.9101 |
-66.9708 |
yes
|
100.00% |
ipfps |
-66.9101 |
-inf |
yes
|
100.00% |
ipfpu |
-66.9101 |
-inf |
yes
|
100.00% |
lsm |
-66.9101 |
-inf |
yes
|
100.00% |
mp |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mp-fw |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mpm |
-62.3463 |
-inf |
no
|
90.00% |
mp-mcf |
-66.9101 |
-66.9101 |
yes
|
100.00% |
pm |
-56.0179 |
-inf |
no
|
86.67% |
rrwm |
-66.9101 |
-inf |
yes
|
100.00% |
sm |
-66.9101 |
-inf |
yes
|
100.00% |
smac |
-11.3325 |
-inf |
no
|
0.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.9101 |
-66.927 |
yes
|
100.00% |
dd-ls3 |
-66.9101 |
-66.9103 |
yes
|
100.00% |
dd-ls4 |
-66.9101 |
-66.9138 |
yes
|
100.00% |
fgmd |
-66.9101 |
-inf |
yes
|
100.00% |
fm-bca |
-66.9101 |
-66.9101 |
yes
|
100.00% |
fm |
-66.9101 |
-78.8697 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.9101 |
-inf |
yes
|
100.00% |
hbp |
-66.9101 |
-66.9708 |
yes
|
100.00% |
ipfps |
-66.9101 |
-inf |
yes
|
100.00% |
ipfpu |
-66.9101 |
-inf |
yes
|
100.00% |
lsm |
-66.9101 |
-inf |
yes
|
100.00% |
mp |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mp-fw |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mpm |
-62.3463 |
-inf |
no
|
90.00% |
mp-mcf |
-66.9101 |
-66.9101 |
yes
|
100.00% |
pm |
-56.0179 |
-inf |
no
|
86.67% |
rrwm |
-66.9101 |
-inf |
yes
|
100.00% |
sm |
-66.9101 |
-inf |
yes
|
100.00% |
smac |
-11.3325 |
-inf |
no
|
0.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.9101 |
-66.927 |
yes
|
100.00% |
dd-ls3 |
-66.9101 |
-66.9103 |
yes
|
100.00% |
dd-ls4 |
-66.9101 |
-66.9138 |
yes
|
100.00% |
fgmd |
-66.9101 |
-inf |
yes
|
100.00% |
fm-bca |
-66.9101 |
-66.9101 |
yes
|
100.00% |
fm |
-66.9101 |
-78.8697 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.9101 |
-inf |
yes
|
100.00% |
hbp |
-66.9101 |
-66.9708 |
yes
|
100.00% |
ipfps |
-66.9101 |
-inf |
yes
|
100.00% |
ipfpu |
-66.9101 |
-inf |
yes
|
100.00% |
lsm |
-66.9101 |
-inf |
yes
|
100.00% |
mp |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mp-fw |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mpm |
-62.3463 |
-inf |
no
|
90.00% |
mp-mcf |
-66.9101 |
-66.9101 |
yes
|
100.00% |
pm |
-56.0179 |
-inf |
no
|
86.67% |
rrwm |
-66.9101 |
-inf |
yes
|
100.00% |
sm |
-66.9101 |
-inf |
yes
|
100.00% |
smac |
-11.3325 |
-inf |
no
|
0.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.9101 |
-66.927 |
yes
|
100.00% |
dd-ls3 |
-66.9101 |
-66.9103 |
yes
|
100.00% |
dd-ls4 |
-66.9101 |
-66.9138 |
yes
|
100.00% |
fgmd |
-66.9101 |
-inf |
yes
|
100.00% |
fm-bca |
-66.9101 |
-66.9101 |
yes
|
100.00% |
fm |
-66.9101 |
-78.8697 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.9101 |
-inf |
yes
|
100.00% |
hbp |
-66.9101 |
-66.9708 |
yes
|
100.00% |
ipfps |
-66.9101 |
-inf |
yes
|
100.00% |
ipfpu |
-66.9101 |
-inf |
yes
|
100.00% |
lsm |
-66.9101 |
-inf |
yes
|
100.00% |
mp |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mp-fw |
-66.9101 |
-66.9101 |
yes
|
100.00% |
mpm |
-62.3463 |
-inf |
no
|
90.00% |
mp-mcf |
-66.9101 |
-66.9101 |
yes
|
100.00% |
pm |
-56.0179 |
-inf |
no
|
86.67% |
rrwm |
-66.9101 |
-inf |
yes
|
100.00% |
sm |
-66.9101 |
-inf |
yes
|
100.00% |
smac |
-11.3325 |
-inf |
no
|
0.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
house-sparse
Results for individual instances of the dataset: