This page shows the benchmarks results for the dataset instance “motor18”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -131.41.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls3 |
-94.0576 |
-136.417 |
no
|
63.46% |
dd-ls4 |
-88.4489 |
-139.453 |
no
|
63.46% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-131.412 |
-131.412 |
yes
|
100.00% |
fm |
-131.412 |
-180.136 |
yes
|
100.00% |
fw |
-131.412 |
-inf |
yes
|
100.00% |
ga |
-131.412 |
-inf |
yes
|
100.00% |
hbp |
-131.412 |
-131.849 |
yes
|
100.00% |
ipfps |
-131.412 |
-inf |
yes
|
100.00% |
ipfpu |
-129.296 |
-inf |
no
|
96.15% |
lsm |
-122.433 |
-inf |
no
|
82.69% |
mp |
-131.412 |
-131.412 |
yes
|
100.00% |
mp-fw |
-131.412 |
-131.412 |
yes
|
100.00% |
mpm |
inf |
-inf |
no
|
– |
mp-mcf |
-131.412 |
-131.412 |
yes
|
100.00% |
pm |
-61.4333 |
-inf |
no
|
28.85% |
rrwm |
-131.412 |
-inf |
yes
|
100.00% |
sm |
-131.412 |
-inf |
yes
|
100.00% |
smac |
-115.055 |
-inf |
no
|
78.85% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls3 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls4 |
-122.285 |
-133.039 |
no
|
90.38% |
fgmd |
-131.412 |
-inf |
yes
|
100.00% |
fm-bca |
-131.412 |
-131.412 |
yes
|
100.00% |
fm |
-131.412 |
-180.136 |
yes
|
100.00% |
fw |
-131.412 |
-inf |
yes
|
100.00% |
ga |
-131.412 |
-inf |
yes
|
100.00% |
hbp |
-131.412 |
-131.849 |
yes
|
100.00% |
ipfps |
-131.412 |
-inf |
yes
|
100.00% |
ipfpu |
-129.296 |
-inf |
no
|
96.15% |
lsm |
-122.433 |
-inf |
no
|
82.69% |
mp |
-131.412 |
-131.412 |
yes
|
100.00% |
mp-fw |
-131.412 |
-131.412 |
yes
|
100.00% |
mpm |
-123.196 |
-inf |
no
|
88.46% |
mp-mcf |
-131.412 |
-131.412 |
yes
|
100.00% |
pm |
-61.4333 |
-inf |
no
|
28.85% |
rrwm |
-131.412 |
-inf |
yes
|
100.00% |
sm |
-131.412 |
-inf |
yes
|
100.00% |
smac |
-115.055 |
-inf |
no
|
78.85% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls3 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls4 |
-131.412 |
-131.414 |
yes
|
100.00% |
fgmd |
-131.412 |
-inf |
yes
|
100.00% |
fm-bca |
-131.412 |
-131.412 |
yes
|
100.00% |
fm |
-131.412 |
-180.136 |
yes
|
100.00% |
fw |
-131.412 |
-inf |
yes
|
100.00% |
ga |
-131.412 |
-inf |
yes
|
100.00% |
hbp |
-131.412 |
-131.849 |
yes
|
100.00% |
ipfps |
-131.412 |
-inf |
yes
|
100.00% |
ipfpu |
-129.296 |
-inf |
no
|
96.15% |
lsm |
-122.433 |
-inf |
no
|
82.69% |
mp |
-131.412 |
-131.412 |
yes
|
100.00% |
mp-fw |
-131.412 |
-131.412 |
yes
|
100.00% |
mpm |
-123.196 |
-inf |
no
|
88.46% |
mp-mcf |
-131.412 |
-131.412 |
yes
|
100.00% |
pm |
-61.4333 |
-inf |
no
|
28.85% |
rrwm |
-131.412 |
-inf |
yes
|
100.00% |
sm |
-131.412 |
-inf |
yes
|
100.00% |
smac |
-115.055 |
-inf |
no
|
78.85% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls3 |
-131.412 |
-131.413 |
yes
|
100.00% |
dd-ls4 |
-131.412 |
-131.414 |
yes
|
100.00% |
fgmd |
-131.412 |
-inf |
yes
|
100.00% |
fm-bca |
-131.412 |
-131.412 |
yes
|
100.00% |
fm |
-131.412 |
-180.136 |
yes
|
100.00% |
fw |
-131.412 |
-inf |
yes
|
100.00% |
ga |
-131.412 |
-inf |
yes
|
100.00% |
hbp |
-131.412 |
-131.849 |
yes
|
100.00% |
ipfps |
-131.412 |
-inf |
yes
|
100.00% |
ipfpu |
-129.296 |
-inf |
no
|
96.15% |
lsm |
-122.433 |
-inf |
no
|
82.69% |
mp |
-131.412 |
-131.412 |
yes
|
100.00% |
mp-fw |
-131.412 |
-131.412 |
yes
|
100.00% |
mpm |
-123.196 |
-inf |
no
|
88.46% |
mp-mcf |
-131.412 |
-131.412 |
yes
|
100.00% |
pm |
-61.4333 |
-inf |
no
|
28.85% |
rrwm |
-131.412 |
-inf |
yes
|
100.00% |
sm |
-131.412 |
-inf |
yes
|
100.00% |
smac |
-115.055 |
-inf |
no
|
78.85% |
Other Results for this Dataset
Accumulated results for whole dataset:
motor
Results for individual instances of the dataset: