This page shows the benchmarks results for the dataset instance “caltech-small12”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -758.394.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls3 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls4 |
-758.394 |
-758.398 |
yes
|
100.00% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-758.394 |
-978.014 |
yes
|
100.00% |
fm |
-758.394 |
-2224.26 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-668.711 |
-inf |
no
|
100.00% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-713.324 |
-inf |
no
|
100.00% |
ipfpu |
-701.011 |
-inf |
no
|
100.00% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-715.025 |
-975.139 |
no
|
0.00% |
mp-fw |
-758.394 |
-895.183 |
yes
|
100.00% |
mpm |
-582.868 |
-inf |
no
|
0.00% |
mp-mcf |
-702.048 |
-886.724 |
no
|
100.00% |
pm |
-525.642 |
-inf |
no
|
66.67% |
rrwm |
-744.215 |
-inf |
no
|
100.00% |
sm |
-212.34 |
-inf |
no
|
0.00% |
smac |
-317.481 |
-inf |
no
|
33.33% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls3 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls4 |
-758.394 |
-758.394 |
yes
|
100.00% |
fgmd |
-758.203 |
-inf |
yes
|
100.00% |
fm-bca |
-758.394 |
-978.014 |
yes
|
100.00% |
fm |
-758.394 |
-2224.26 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-668.711 |
-inf |
no
|
100.00% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-713.324 |
-inf |
no
|
100.00% |
ipfpu |
-701.011 |
-inf |
no
|
100.00% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-715.025 |
-975.139 |
no
|
0.00% |
mp-fw |
-758.394 |
-857.126 |
yes
|
100.00% |
mpm |
-582.868 |
-inf |
no
|
0.00% |
mp-mcf |
-702.048 |
-857.475 |
no
|
100.00% |
pm |
-525.642 |
-inf |
no
|
66.67% |
rrwm |
-744.215 |
-inf |
no
|
100.00% |
sm |
-212.34 |
-inf |
no
|
0.00% |
smac |
-317.481 |
-inf |
no
|
33.33% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls3 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls4 |
-758.394 |
-758.394 |
yes
|
100.00% |
fgmd |
-758.203 |
-inf |
yes
|
100.00% |
fm-bca |
-758.394 |
-978.014 |
yes
|
100.00% |
fm |
-758.394 |
-2224.26 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-668.711 |
-inf |
no
|
100.00% |
hbp |
-752.323 |
-2206.79 |
no
|
100.00% |
ipfps |
-713.324 |
-inf |
no
|
100.00% |
ipfpu |
-701.011 |
-inf |
no
|
100.00% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-715.025 |
-975.139 |
no
|
0.00% |
mp-fw |
-758.394 |
-852.26 |
yes
|
100.00% |
mpm |
-582.868 |
-inf |
no
|
0.00% |
mp-mcf |
-702.048 |
-855.033 |
no
|
100.00% |
pm |
-525.642 |
-inf |
no
|
66.67% |
rrwm |
-744.215 |
-inf |
no
|
100.00% |
sm |
-212.34 |
-inf |
no
|
0.00% |
smac |
-317.481 |
-inf |
no
|
33.33% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls3 |
-758.394 |
-758.394 |
yes
|
100.00% |
dd-ls4 |
-758.394 |
-758.394 |
yes
|
100.00% |
fgmd |
-758.203 |
-inf |
yes
|
100.00% |
fm-bca |
-758.394 |
-978.014 |
yes
|
100.00% |
fm |
-758.394 |
-2224.26 |
yes
|
100.00% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-668.711 |
-inf |
no
|
100.00% |
hbp |
-752.323 |
-2206.79 |
no
|
100.00% |
ipfps |
-713.324 |
-inf |
no
|
100.00% |
ipfpu |
-701.011 |
-inf |
no
|
100.00% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-715.025 |
-975.139 |
no
|
0.00% |
mp-fw |
-758.394 |
-851.69 |
yes
|
100.00% |
mpm |
-582.868 |
-inf |
no
|
0.00% |
mp-mcf |
-702.048 |
-854.731 |
no
|
100.00% |
pm |
-525.642 |
-inf |
no
|
66.67% |
rrwm |
-744.215 |
-inf |
no
|
100.00% |
sm |
-212.34 |
-inf |
no
|
0.00% |
smac |
-317.481 |
-inf |
no
|
33.33% |
Other Results for this Dataset
Accumulated results for whole dataset:
caltech-small
Results for individual instances of the dataset: