This page shows the benchmarks results for the dataset instance “motor5”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -29.91.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-29.9055 |
-29.9094 |
yes
|
100.00% |
dd-ls3 |
-29.9055 |
-29.9195 |
yes
|
100.00% |
dd-ls4 |
-29.9055 |
-29.9105 |
yes
|
100.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-29.9055 |
-29.9055 |
yes
|
100.00% |
fm |
-29.9055 |
-40.8255 |
yes
|
100.00% |
fw |
-15.0634 |
-inf |
no
|
26.67% |
ga |
-29.9055 |
-inf |
yes
|
100.00% |
hbp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
ipfps |
-29.9055 |
-inf |
yes
|
100.00% |
ipfpu |
-29.9055 |
-inf |
yes
|
100.00% |
lsm |
-23.5288 |
-inf |
no
|
73.33% |
mp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mp-fw |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mpm |
-26.9873 |
-inf |
no
|
80.00% |
mp-mcf |
-29.9055 |
-29.9055 |
yes
|
100.00% |
pm |
-23.164 |
-inf |
no
|
73.33% |
rrwm |
-29.9055 |
-inf |
yes
|
100.00% |
sm |
-29.9055 |
-inf |
yes
|
100.00% |
smac |
-29.9055 |
-inf |
yes
|
100.00% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-29.9055 |
-29.9094 |
yes
|
100.00% |
dd-ls3 |
-29.9055 |
-29.9195 |
yes
|
100.00% |
dd-ls4 |
-29.9055 |
-29.9105 |
yes
|
100.00% |
fgmd |
-29.9055 |
-inf |
yes
|
100.00% |
fm-bca |
-29.9055 |
-29.9055 |
yes
|
100.00% |
fm |
-29.9055 |
-40.8255 |
yes
|
100.00% |
fw |
-15.0634 |
-inf |
no
|
26.67% |
ga |
-29.9055 |
-inf |
yes
|
100.00% |
hbp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
ipfps |
-29.9055 |
-inf |
yes
|
100.00% |
ipfpu |
-29.9055 |
-inf |
yes
|
100.00% |
lsm |
-23.5288 |
-inf |
no
|
73.33% |
mp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mp-fw |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mpm |
-26.9873 |
-inf |
no
|
80.00% |
mp-mcf |
-29.9055 |
-29.9055 |
yes
|
100.00% |
pm |
-23.164 |
-inf |
no
|
73.33% |
rrwm |
-29.9055 |
-inf |
yes
|
100.00% |
sm |
-29.9055 |
-inf |
yes
|
100.00% |
smac |
-29.9055 |
-inf |
yes
|
100.00% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-29.9055 |
-29.9094 |
yes
|
100.00% |
dd-ls3 |
-29.9055 |
-29.9195 |
yes
|
100.00% |
dd-ls4 |
-29.9055 |
-29.9105 |
yes
|
100.00% |
fgmd |
-29.9055 |
-inf |
yes
|
100.00% |
fm-bca |
-29.9055 |
-29.9055 |
yes
|
100.00% |
fm |
-29.9055 |
-40.8255 |
yes
|
100.00% |
fw |
-15.0634 |
-inf |
no
|
26.67% |
ga |
-29.9055 |
-inf |
yes
|
100.00% |
hbp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
ipfps |
-29.9055 |
-inf |
yes
|
100.00% |
ipfpu |
-29.9055 |
-inf |
yes
|
100.00% |
lsm |
-23.5288 |
-inf |
no
|
73.33% |
mp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mp-fw |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mpm |
-26.9873 |
-inf |
no
|
80.00% |
mp-mcf |
-29.9055 |
-29.9055 |
yes
|
100.00% |
pm |
-23.164 |
-inf |
no
|
73.33% |
rrwm |
-29.9055 |
-inf |
yes
|
100.00% |
sm |
-29.9055 |
-inf |
yes
|
100.00% |
smac |
-29.9055 |
-inf |
yes
|
100.00% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-29.9055 |
-29.9094 |
yes
|
100.00% |
dd-ls3 |
-29.9055 |
-29.9195 |
yes
|
100.00% |
dd-ls4 |
-29.9055 |
-29.9105 |
yes
|
100.00% |
fgmd |
-29.9055 |
-inf |
yes
|
100.00% |
fm-bca |
-29.9055 |
-29.9055 |
yes
|
100.00% |
fm |
-29.9055 |
-40.8255 |
yes
|
100.00% |
fw |
-15.0634 |
-inf |
no
|
26.67% |
ga |
-29.9055 |
-inf |
yes
|
100.00% |
hbp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
ipfps |
-29.9055 |
-inf |
yes
|
100.00% |
ipfpu |
-29.9055 |
-inf |
yes
|
100.00% |
lsm |
-23.5288 |
-inf |
no
|
73.33% |
mp |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mp-fw |
-29.9055 |
-29.9055 |
yes
|
100.00% |
mpm |
-26.9873 |
-inf |
no
|
80.00% |
mp-mcf |
-29.9055 |
-29.9055 |
yes
|
100.00% |
pm |
-23.164 |
-inf |
no
|
73.33% |
rrwm |
-29.9055 |
-inf |
yes
|
100.00% |
sm |
-29.9055 |
-inf |
yes
|
100.00% |
smac |
-29.9055 |
-inf |
yes
|
100.00% |
Other Results for this Dataset
Accumulated results for whole dataset:
motor
Results for individual instances of the dataset: