This page shows the benchmarks results for the dataset instance “house-sparse62”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.394.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.394 |
-66.3959 |
yes
|
100.00% |
dd-ls3 |
-66.394 |
-66.3965 |
yes
|
100.00% |
dd-ls4 |
-56.636 |
-71.3812 |
no
|
90.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-66.394 |
-66.394 |
yes
|
100.00% |
fm |
-66.394 |
-78.8399 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.394 |
-inf |
yes
|
100.00% |
hbp |
-66.394 |
-66.503 |
yes
|
100.00% |
ipfps |
-66.394 |
-inf |
yes
|
100.00% |
ipfpu |
-66.394 |
-inf |
yes
|
100.00% |
lsm |
-66.394 |
-inf |
yes
|
100.00% |
mp |
-66.394 |
-66.394 |
yes
|
100.00% |
mp-fw |
-66.394 |
-66.394 |
yes
|
100.00% |
mpm |
-52.9901 |
-inf |
no
|
86.67% |
mp-mcf |
-66.394 |
-66.394 |
yes
|
100.00% |
pm |
-51.7265 |
-inf |
no
|
80.00% |
rrwm |
-66.394 |
-inf |
yes
|
100.00% |
sm |
-66.394 |
-inf |
yes
|
100.00% |
smac |
-66.394 |
-inf |
yes
|
100.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.394 |
-66.3959 |
yes
|
100.00% |
dd-ls3 |
-66.394 |
-66.3965 |
yes
|
100.00% |
dd-ls4 |
-66.394 |
-66.3953 |
yes
|
100.00% |
fgmd |
-66.394 |
-inf |
yes
|
100.00% |
fm-bca |
-66.394 |
-66.394 |
yes
|
100.00% |
fm |
-66.394 |
-78.8399 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.394 |
-inf |
yes
|
100.00% |
hbp |
-66.394 |
-66.503 |
yes
|
100.00% |
ipfps |
-66.394 |
-inf |
yes
|
100.00% |
ipfpu |
-66.394 |
-inf |
yes
|
100.00% |
lsm |
-66.394 |
-inf |
yes
|
100.00% |
mp |
-66.394 |
-66.394 |
yes
|
100.00% |
mp-fw |
-66.394 |
-66.394 |
yes
|
100.00% |
mpm |
-52.9901 |
-inf |
no
|
86.67% |
mp-mcf |
-66.394 |
-66.394 |
yes
|
100.00% |
pm |
-51.7265 |
-inf |
no
|
80.00% |
rrwm |
-66.394 |
-inf |
yes
|
100.00% |
sm |
-66.394 |
-inf |
yes
|
100.00% |
smac |
-66.394 |
-inf |
yes
|
100.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.394 |
-66.3959 |
yes
|
100.00% |
dd-ls3 |
-66.394 |
-66.3965 |
yes
|
100.00% |
dd-ls4 |
-66.394 |
-66.3953 |
yes
|
100.00% |
fgmd |
-66.394 |
-inf |
yes
|
100.00% |
fm-bca |
-66.394 |
-66.394 |
yes
|
100.00% |
fm |
-66.394 |
-78.8399 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.394 |
-inf |
yes
|
100.00% |
hbp |
-66.394 |
-66.503 |
yes
|
100.00% |
ipfps |
-66.394 |
-inf |
yes
|
100.00% |
ipfpu |
-66.394 |
-inf |
yes
|
100.00% |
lsm |
-66.394 |
-inf |
yes
|
100.00% |
mp |
-66.394 |
-66.394 |
yes
|
100.00% |
mp-fw |
-66.394 |
-66.394 |
yes
|
100.00% |
mpm |
-52.9901 |
-inf |
no
|
86.67% |
mp-mcf |
-66.394 |
-66.394 |
yes
|
100.00% |
pm |
-51.7265 |
-inf |
no
|
80.00% |
rrwm |
-66.394 |
-inf |
yes
|
100.00% |
sm |
-66.394 |
-inf |
yes
|
100.00% |
smac |
-66.394 |
-inf |
yes
|
100.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.394 |
-66.3959 |
yes
|
100.00% |
dd-ls3 |
-66.394 |
-66.3965 |
yes
|
100.00% |
dd-ls4 |
-66.394 |
-66.3953 |
yes
|
100.00% |
fgmd |
-66.394 |
-inf |
yes
|
100.00% |
fm-bca |
-66.394 |
-66.394 |
yes
|
100.00% |
fm |
-66.394 |
-78.8399 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-66.394 |
-inf |
yes
|
100.00% |
hbp |
-66.394 |
-66.503 |
yes
|
100.00% |
ipfps |
-66.394 |
-inf |
yes
|
100.00% |
ipfpu |
-66.394 |
-inf |
yes
|
100.00% |
lsm |
-66.394 |
-inf |
yes
|
100.00% |
mp |
-66.394 |
-66.394 |
yes
|
100.00% |
mp-fw |
-66.394 |
-66.394 |
yes
|
100.00% |
mpm |
-52.9901 |
-inf |
no
|
86.67% |
mp-mcf |
-66.394 |
-66.394 |
yes
|
100.00% |
pm |
-51.7265 |
-inf |
no
|
80.00% |
rrwm |
-66.394 |
-inf |
yes
|
100.00% |
sm |
-66.394 |
-inf |
yes
|
100.00% |
smac |
-66.394 |
-inf |
yes
|
100.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
house-sparse
Results for individual instances of the dataset: