This page shows the benchmarks results for the dataset instance “caltech-large2”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -31056.7.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-30960.1 |
-31557.4 |
no
|
77.42% |
dd-ls3 |
-27463.3 |
-42537.1 |
no
|
67.74% |
dd-ls4 |
-28258.2 |
-47129 |
no
|
67.74% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-30985.7 |
-35290.7 |
no
|
70.97% |
fm |
-30985.7 |
-98592.8 |
no
|
70.97% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
inf |
-inf |
no
|
– |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-30962.1 |
-inf |
no
|
70.97% |
ipfpu |
-30958.7 |
-inf |
no
|
70.97% |
lsm |
inf |
-inf |
no
|
– |
mp |
-29873.3 |
-34749 |
no
|
70.97% |
mp-fw |
-31014.4 |
-36692.6 |
no
|
74.19% |
mpm |
inf |
-inf |
no
|
– |
mp-mcf |
-30337.8 |
-35774.6 |
no
|
70.97% |
pm |
-25247.6 |
-inf |
no
|
64.52% |
rrwm |
-30985.7 |
-inf |
no
|
70.97% |
sm |
-11518.8 |
-inf |
no
|
38.71% |
smac |
-22842.8 |
-inf |
no
|
54.84% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-31056.7 |
-31056.7 |
yes
|
77.42% |
dd-ls3 |
-31052.2 |
-31198.9 |
yes
|
77.42% |
dd-ls4 |
-28258.2 |
-38450.3 |
no
|
67.74% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-30985.7 |
-35284 |
no
|
70.97% |
fm |
-30985.7 |
-98592.8 |
no
|
70.97% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
inf |
-inf |
no
|
– |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-30962.1 |
-inf |
no
|
70.97% |
ipfpu |
-30958.7 |
-inf |
no
|
70.97% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-30333 |
-34729.7 |
no
|
74.19% |
mp-fw |
-31014.4 |
-35851.2 |
no
|
74.19% |
mpm |
inf |
-inf |
no
|
– |
mp-mcf |
-30337.8 |
-34582.1 |
no
|
70.97% |
pm |
-25247.6 |
-inf |
no
|
64.52% |
rrwm |
-30985.7 |
-inf |
no
|
70.97% |
sm |
-11518.8 |
-inf |
no
|
38.71% |
smac |
-22842.8 |
-inf |
no
|
54.84% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-31056.7 |
-31056.7 |
yes
|
77.42% |
dd-ls3 |
-31056.7 |
-31056.7 |
yes
|
77.42% |
dd-ls4 |
-31056.7 |
-31059 |
yes
|
77.42% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-30985.7 |
-35284 |
no
|
70.97% |
fm |
-30985.7 |
-98592.8 |
no
|
70.97% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-30326.8 |
-inf |
no
|
77.42% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-30962.1 |
-inf |
no
|
70.97% |
ipfpu |
-30958.7 |
-inf |
no
|
70.97% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-30463.7 |
-34727.2 |
no
|
70.97% |
mp-fw |
-31046 |
-34689.2 |
yes
|
74.19% |
mpm |
-30254 |
-inf |
no
|
70.97% |
mp-mcf |
-30371 |
-33128.1 |
no
|
67.74% |
pm |
-25247.6 |
-inf |
no
|
64.52% |
rrwm |
-30985.7 |
-inf |
no
|
70.97% |
sm |
-11518.8 |
-inf |
no
|
38.71% |
smac |
-22842.8 |
-inf |
no
|
54.84% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-31056.7 |
-31056.7 |
yes
|
77.42% |
dd-ls3 |
-31056.7 |
-31056.7 |
yes
|
77.42% |
dd-ls4 |
-31056.7 |
-31056.7 |
yes
|
77.42% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-31046 |
-35284 |
yes
|
74.19% |
fm |
-30985.7 |
-98592.8 |
no
|
70.97% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-30326.8 |
-inf |
no
|
77.42% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-30962.1 |
-inf |
no
|
70.97% |
ipfpu |
-30958.7 |
-inf |
no
|
70.97% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-30504.3 |
-34727.2 |
no
|
74.19% |
mp-fw |
-31056.7 |
-33118.6 |
yes
|
77.42% |
mpm |
-30254 |
-inf |
no
|
70.97% |
mp-mcf |
-30520.8 |
-32656.1 |
no
|
70.97% |
pm |
-25247.6 |
-inf |
no
|
64.52% |
rrwm |
-30985.7 |
-inf |
no
|
70.97% |
sm |
-11518.8 |
-inf |
no
|
38.71% |
smac |
-22842.8 |
-inf |
no
|
54.84% |
Other Results for this Dataset
Accumulated results for whole dataset:
caltech-large
Results for individual instances of the dataset: