This page shows the benchmarks results for the dataset instance “motor1”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -94.18.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-94.1772 |
-94.1782 |
yes
|
100.00% |
dd-ls3 |
-48.9219 |
-109.024 |
no
|
15.22% |
dd-ls4 |
-53.7977 |
-110.609 |
no
|
32.61% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-94.1772 |
-94.3276 |
yes
|
100.00% |
fm |
-92.5645 |
-154.637 |
no
|
86.96% |
fw |
-73.8835 |
-inf |
no
|
32.61% |
ga |
-82.7885 |
-inf |
no
|
63.04% |
hbp |
-94.1772 |
-97.4474 |
yes
|
100.00% |
ipfps |
-84.0738 |
-inf |
no
|
78.26% |
ipfpu |
-77.4923 |
-inf |
no
|
60.87% |
lsm |
-62.7511 |
-inf |
no
|
32.61% |
mp |
-94.1772 |
-94.4764 |
yes
|
100.00% |
mp-fw |
-94.1772 |
-94.6193 |
yes
|
100.00% |
mpm |
inf |
-inf |
no
|
– |
mp-mcf |
-94.1772 |
-94.4138 |
yes
|
100.00% |
pm |
-44.9867 |
-inf |
no
|
13.04% |
rrwm |
-89.0783 |
-inf |
no
|
82.61% |
sm |
-81.7754 |
-inf |
no
|
78.26% |
smac |
-55.1096 |
-inf |
no
|
19.57% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-94.1772 |
-94.1782 |
yes
|
100.00% |
dd-ls3 |
-94.1772 |
-94.1808 |
yes
|
100.00% |
dd-ls4 |
-53.7977 |
-105.342 |
no
|
32.61% |
fgmd |
-94.1772 |
-inf |
yes
|
100.00% |
fm-bca |
-94.1772 |
-94.3012 |
yes
|
100.00% |
fm |
-94.1772 |
-154.637 |
yes
|
100.00% |
fw |
-73.8835 |
-inf |
no
|
32.61% |
ga |
-82.7885 |
-inf |
no
|
63.04% |
hbp |
-94.1772 |
-97.4474 |
yes
|
100.00% |
ipfps |
-84.0738 |
-inf |
no
|
78.26% |
ipfpu |
-77.4923 |
-inf |
no
|
60.87% |
lsm |
-62.7511 |
-inf |
no
|
32.61% |
mp |
-94.1772 |
-94.253 |
yes
|
100.00% |
mp-fw |
-94.1772 |
-94.1772 |
yes
|
100.00% |
mpm |
-69.1313 |
-inf |
no
|
54.35% |
mp-mcf |
-94.1772 |
-94.1772 |
yes
|
100.00% |
pm |
-44.9867 |
-inf |
no
|
13.04% |
rrwm |
-89.0783 |
-inf |
no
|
82.61% |
sm |
-81.7754 |
-inf |
no
|
78.26% |
smac |
-55.1096 |
-inf |
no
|
19.57% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-94.1772 |
-94.1782 |
yes
|
100.00% |
dd-ls3 |
-94.1772 |
-94.1808 |
yes
|
100.00% |
dd-ls4 |
-94.1772 |
-94.1865 |
yes
|
100.00% |
fgmd |
-94.1772 |
-inf |
yes
|
100.00% |
fm-bca |
-94.1772 |
-94.3012 |
yes
|
100.00% |
fm |
-94.1772 |
-154.637 |
yes
|
100.00% |
fw |
-73.8835 |
-inf |
no
|
32.61% |
ga |
-82.7885 |
-inf |
no
|
63.04% |
hbp |
-94.1772 |
-97.4474 |
yes
|
100.00% |
ipfps |
-84.0738 |
-inf |
no
|
78.26% |
ipfpu |
-77.4923 |
-inf |
no
|
60.87% |
lsm |
-62.7511 |
-inf |
no
|
32.61% |
mp |
-94.1772 |
-94.2528 |
yes
|
100.00% |
mp-fw |
-94.1772 |
-94.1772 |
yes
|
100.00% |
mpm |
-69.1313 |
-inf |
no
|
54.35% |
mp-mcf |
-94.1772 |
-94.1772 |
yes
|
100.00% |
pm |
-44.9867 |
-inf |
no
|
13.04% |
rrwm |
-89.0783 |
-inf |
no
|
82.61% |
sm |
-81.7754 |
-inf |
no
|
78.26% |
smac |
-55.1096 |
-inf |
no
|
19.57% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-94.1772 |
-94.1782 |
yes
|
100.00% |
dd-ls3 |
-94.1772 |
-94.1808 |
yes
|
100.00% |
dd-ls4 |
-94.1772 |
-94.1809 |
yes
|
100.00% |
fgmd |
-94.1772 |
-inf |
yes
|
100.00% |
fm-bca |
-94.1772 |
-94.3012 |
yes
|
100.00% |
fm |
-94.1772 |
-154.637 |
yes
|
100.00% |
fw |
-73.8835 |
-inf |
no
|
32.61% |
ga |
-82.7885 |
-inf |
no
|
63.04% |
hbp |
-94.1772 |
-97.4474 |
yes
|
100.00% |
ipfps |
-84.0738 |
-inf |
no
|
78.26% |
ipfpu |
-77.4923 |
-inf |
no
|
60.87% |
lsm |
-62.7511 |
-inf |
no
|
32.61% |
mp |
-94.1772 |
-94.2528 |
yes
|
100.00% |
mp-fw |
-94.1772 |
-94.1772 |
yes
|
100.00% |
mpm |
-69.1313 |
-inf |
no
|
54.35% |
mp-mcf |
-94.1772 |
-94.1772 |
yes
|
100.00% |
pm |
-44.9867 |
-inf |
no
|
13.04% |
rrwm |
-89.0783 |
-inf |
no
|
82.61% |
sm |
-81.7754 |
-inf |
no
|
78.26% |
smac |
-55.1096 |
-inf |
no
|
19.57% |
Other Results for this Dataset
Accumulated results for whole dataset:
motor
Results for individual instances of the dataset: