This page shows the benchmarks results for the dataset instance “motor13”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -36.35.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-36.3544 |
-36.3565 |
yes
|
100.00% |
dd-ls3 |
-36.3544 |
-36.3577 |
yes
|
100.00% |
dd-ls4 |
-28.785 |
-40.9879 |
no
|
38.10% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-36.3544 |
-38.3193 |
yes
|
100.00% |
fm |
-33.7776 |
-63.074 |
no
|
33.33% |
fw |
-33.3617 |
-inf |
no
|
28.57% |
ga |
-34.6225 |
-inf |
no
|
71.43% |
hbp |
-36.3544 |
-40.4382 |
yes
|
100.00% |
ipfps |
-31.6231 |
-inf |
no
|
52.38% |
ipfpu |
-31.3985 |
-inf |
no
|
47.62% |
lsm |
-30.0056 |
-inf |
no
|
23.81% |
mp |
-34.6902 |
-38.4775 |
no
|
85.71% |
mp-fw |
-36.3544 |
-37.2395 |
yes
|
100.00% |
mpm |
-29.0043 |
-inf |
no
|
42.86% |
mp-mcf |
-36.3544 |
-36.9768 |
yes
|
100.00% |
pm |
-25.5404 |
-inf |
no
|
19.05% |
rrwm |
-33.497 |
-inf |
no
|
52.38% |
sm |
-30.7437 |
-inf |
no
|
52.38% |
smac |
-29.6178 |
-inf |
no
|
47.62% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-36.3544 |
-36.3565 |
yes
|
100.00% |
dd-ls3 |
-36.3544 |
-36.3577 |
yes
|
100.00% |
dd-ls4 |
-36.3544 |
-36.3547 |
yes
|
100.00% |
fgmd |
-36.3544 |
-inf |
yes
|
100.00% |
fm-bca |
-36.3544 |
-38.3193 |
yes
|
100.00% |
fm |
-36.3544 |
-63.074 |
yes
|
100.00% |
fw |
-33.3617 |
-inf |
no
|
28.57% |
ga |
-34.6225 |
-inf |
no
|
71.43% |
hbp |
-36.3544 |
-40.4382 |
yes
|
100.00% |
ipfps |
-31.6231 |
-inf |
no
|
52.38% |
ipfpu |
-31.3985 |
-inf |
no
|
47.62% |
lsm |
-30.0056 |
-inf |
no
|
23.81% |
mp |
-36.3544 |
-38.4775 |
yes
|
100.00% |
mp-fw |
-36.3544 |
-36.3544 |
yes
|
100.00% |
mpm |
-29.0043 |
-inf |
no
|
42.86% |
mp-mcf |
-36.3544 |
-36.3544 |
yes
|
100.00% |
pm |
-25.5404 |
-inf |
no
|
19.05% |
rrwm |
-33.497 |
-inf |
no
|
52.38% |
sm |
-30.7437 |
-inf |
no
|
52.38% |
smac |
-29.6178 |
-inf |
no
|
47.62% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-36.3544 |
-36.3565 |
yes
|
100.00% |
dd-ls3 |
-36.3544 |
-36.3577 |
yes
|
100.00% |
dd-ls4 |
-36.3544 |
-36.3547 |
yes
|
100.00% |
fgmd |
-36.3544 |
-inf |
yes
|
100.00% |
fm-bca |
-36.3544 |
-38.3193 |
yes
|
100.00% |
fm |
-36.3544 |
-63.074 |
yes
|
100.00% |
fw |
-33.3617 |
-inf |
no
|
28.57% |
ga |
-34.6225 |
-inf |
no
|
71.43% |
hbp |
-36.3544 |
-40.4382 |
yes
|
100.00% |
ipfps |
-31.6231 |
-inf |
no
|
52.38% |
ipfpu |
-31.3985 |
-inf |
no
|
47.62% |
lsm |
-30.0056 |
-inf |
no
|
23.81% |
mp |
-36.3544 |
-38.4775 |
yes
|
100.00% |
mp-fw |
-36.3544 |
-36.3544 |
yes
|
100.00% |
mpm |
-29.0043 |
-inf |
no
|
42.86% |
mp-mcf |
-36.3544 |
-36.3544 |
yes
|
100.00% |
pm |
-25.5404 |
-inf |
no
|
19.05% |
rrwm |
-33.497 |
-inf |
no
|
52.38% |
sm |
-30.7437 |
-inf |
no
|
52.38% |
smac |
-29.6178 |
-inf |
no
|
47.62% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-36.3544 |
-36.3565 |
yes
|
100.00% |
dd-ls3 |
-36.3544 |
-36.3577 |
yes
|
100.00% |
dd-ls4 |
-36.3544 |
-36.3547 |
yes
|
100.00% |
fgmd |
-36.3544 |
-inf |
yes
|
100.00% |
fm-bca |
-36.3544 |
-38.3193 |
yes
|
100.00% |
fm |
-36.3544 |
-63.074 |
yes
|
100.00% |
fw |
-33.3617 |
-inf |
no
|
28.57% |
ga |
-34.6225 |
-inf |
no
|
71.43% |
hbp |
-36.3544 |
-40.4382 |
yes
|
100.00% |
ipfps |
-31.6231 |
-inf |
no
|
52.38% |
ipfpu |
-31.3985 |
-inf |
no
|
47.62% |
lsm |
-30.0056 |
-inf |
no
|
23.81% |
mp |
-36.3544 |
-38.4775 |
yes
|
100.00% |
mp-fw |
-36.3544 |
-36.3544 |
yes
|
100.00% |
mpm |
-29.0043 |
-inf |
no
|
42.86% |
mp-mcf |
-36.3544 |
-36.3544 |
yes
|
100.00% |
pm |
-25.5404 |
-inf |
no
|
19.05% |
rrwm |
-33.497 |
-inf |
no
|
52.38% |
sm |
-30.7437 |
-inf |
no
|
52.38% |
smac |
-29.6178 |
-inf |
no
|
47.62% |
Other Results for this Dataset
Accumulated results for whole dataset:
motor
Results for individual instances of the dataset: