This page shows the benchmarks results for the dataset instance “motor14”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -43.8.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-43.8014 |
-44.2361 |
yes
|
73.08% |
dd-ls3 |
-39.6182 |
-46.7633 |
no
|
69.23% |
dd-ls4 |
-33.3159 |
-53.8865 |
no
|
57.69% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-43.8014 |
-47.9009 |
yes
|
73.08% |
fm |
-43.8014 |
-80.0685 |
yes
|
73.08% |
fw |
-34.7035 |
-inf |
no
|
26.92% |
ga |
-42.8896 |
-inf |
no
|
65.38% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-39.0976 |
-inf |
no
|
50.00% |
ipfpu |
-35.8787 |
-inf |
no
|
30.77% |
lsm |
-26.7164 |
-inf |
no
|
26.92% |
mp |
-43.3726 |
-46.8957 |
no
|
65.38% |
mp-fw |
-43.6199 |
-45.9015 |
no
|
80.77% |
mpm |
-27.2619 |
-inf |
no
|
3.85% |
mp-mcf |
-43.469 |
-45.5743 |
no
|
84.62% |
pm |
-25.4578 |
-inf |
no
|
3.85% |
rrwm |
-41.5718 |
-inf |
no
|
57.69% |
sm |
-38.4068 |
-inf |
no
|
53.85% |
smac |
-36.7966 |
-inf |
no
|
30.77% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-43.8014 |
-44.2361 |
yes
|
73.08% |
dd-ls3 |
-43.8014 |
-43.8824 |
yes
|
73.08% |
dd-ls4 |
-41.5765 |
-45.6708 |
no
|
65.38% |
fgmd |
-43.698 |
-inf |
no
|
80.77% |
fm-bca |
-43.8014 |
-47.9009 |
yes
|
73.08% |
fm |
-43.8014 |
-80.0685 |
yes
|
73.08% |
fw |
-34.7035 |
-inf |
no
|
26.92% |
ga |
-42.8896 |
-inf |
no
|
65.38% |
hbp |
-43.8014 |
-48.8096 |
yes
|
73.08% |
ipfps |
-39.0976 |
-inf |
no
|
50.00% |
ipfpu |
-35.8787 |
-inf |
no
|
30.77% |
lsm |
-26.7164 |
-inf |
no
|
26.92% |
mp |
-43.6199 |
-46.8954 |
no
|
80.77% |
mp-fw |
-43.8014 |
-44.63 |
yes
|
73.08% |
mpm |
-27.2619 |
-inf |
no
|
3.85% |
mp-mcf |
-43.7162 |
-44.4632 |
no
|
100.00% |
pm |
-25.4578 |
-inf |
no
|
3.85% |
rrwm |
-41.5718 |
-inf |
no
|
57.69% |
sm |
-38.4068 |
-inf |
no
|
53.85% |
smac |
-36.7966 |
-inf |
no
|
30.77% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-43.8014 |
-44.2361 |
yes
|
73.08% |
dd-ls3 |
-43.8014 |
-43.8805 |
yes
|
73.08% |
dd-ls4 |
-43.8014 |
-43.8015 |
yes
|
73.08% |
fgmd |
-43.698 |
-inf |
no
|
80.77% |
fm-bca |
-43.8014 |
-47.9009 |
yes
|
73.08% |
fm |
-43.8014 |
-80.0685 |
yes
|
73.08% |
fw |
-34.7035 |
-inf |
no
|
26.92% |
ga |
-42.8896 |
-inf |
no
|
65.38% |
hbp |
-43.8014 |
-48.8096 |
yes
|
73.08% |
ipfps |
-39.0976 |
-inf |
no
|
50.00% |
ipfpu |
-35.8787 |
-inf |
no
|
30.77% |
lsm |
-26.7164 |
-inf |
no
|
26.92% |
mp |
-43.6199 |
-46.8954 |
no
|
80.77% |
mp-fw |
-43.8014 |
-43.8774 |
yes
|
73.08% |
mpm |
-27.2619 |
-inf |
no
|
3.85% |
mp-mcf |
-43.7162 |
-43.8956 |
no
|
100.00% |
pm |
-25.4578 |
-inf |
no
|
3.85% |
rrwm |
-41.5718 |
-inf |
no
|
57.69% |
sm |
-38.4068 |
-inf |
no
|
53.85% |
smac |
-36.7966 |
-inf |
no
|
30.77% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-43.8014 |
-44.2361 |
yes
|
73.08% |
dd-ls3 |
-43.8014 |
-43.8805 |
yes
|
73.08% |
dd-ls4 |
-43.8014 |
-43.8015 |
yes
|
73.08% |
fgmd |
-43.698 |
-inf |
no
|
80.77% |
fm-bca |
-43.8014 |
-47.9009 |
yes
|
73.08% |
fm |
-43.8014 |
-80.0685 |
yes
|
73.08% |
fw |
-34.7035 |
-inf |
no
|
26.92% |
ga |
-42.8896 |
-inf |
no
|
65.38% |
hbp |
-43.8014 |
-48.8096 |
yes
|
73.08% |
ipfps |
-39.0976 |
-inf |
no
|
50.00% |
ipfpu |
-35.8787 |
-inf |
no
|
30.77% |
lsm |
-26.7164 |
-inf |
no
|
26.92% |
mp |
-43.6199 |
-46.8954 |
no
|
80.77% |
mp-fw |
-43.8014 |
-43.8763 |
yes
|
73.08% |
mpm |
-27.2619 |
-inf |
no
|
3.85% |
mp-mcf |
-43.7162 |
-43.816 |
no
|
100.00% |
pm |
-25.4578 |
-inf |
no
|
3.85% |
rrwm |
-41.5718 |
-inf |
no
|
57.69% |
sm |
-38.4068 |
-inf |
no
|
53.85% |
smac |
-36.7966 |
-inf |
no
|
30.77% |
Other Results for this Dataset
Accumulated results for whole dataset:
motor
Results for individual instances of the dataset: