This page shows the benchmarks results for the dataset instance “caltech-small15”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -8616.76.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-8309.71 |
-8754.55 |
no
|
87.50% |
dd-ls3 |
-6317.69 |
-11462.5 |
no
|
68.75% |
dd-ls4 |
-6645.24 |
-15754.2 |
no
|
81.25% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-8579.02 |
-10507.3 |
no
|
87.50% |
fm |
-8509.21 |
-35481.9 |
no
|
87.50% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
inf |
-inf |
no
|
– |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-8606.4 |
-inf |
no
|
87.50% |
ipfpu |
-8573.93 |
-inf |
no
|
87.50% |
lsm |
inf |
-inf |
no
|
– |
mp |
-7846.13 |
-10506.5 |
no
|
75.00% |
mp-fw |
-8496.63 |
-11249 |
no
|
87.50% |
mpm |
inf |
-inf |
no
|
– |
mp-mcf |
-8037.4 |
-10806 |
no
|
68.75% |
pm |
-5642.42 |
-inf |
no
|
50.00% |
rrwm |
-8450.3 |
-inf |
no
|
87.50% |
sm |
-3293.1 |
-inf |
no
|
43.75% |
smac |
-5787.18 |
-inf |
no
|
43.75% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-8309.71 |
-8747.17 |
no
|
87.50% |
dd-ls3 |
-8611.67 |
-8695.94 |
yes
|
87.50% |
dd-ls4 |
-6933.51 |
-9560.8 |
no
|
68.75% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-8579.02 |
-10502.8 |
no
|
87.50% |
fm |
-8616.76 |
-35481.9 |
yes
|
87.50% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
inf |
-inf |
no
|
– |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-8606.4 |
-inf |
no
|
87.50% |
ipfpu |
-8573.93 |
-inf |
no
|
87.50% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-8161.11 |
-10506.5 |
no
|
87.50% |
mp-fw |
-8607.53 |
-10384.9 |
no
|
81.25% |
mpm |
-7786.58 |
-inf |
no
|
87.50% |
mp-mcf |
-8037.4 |
-10037 |
no
|
68.75% |
pm |
-5642.42 |
-inf |
no
|
50.00% |
rrwm |
-8450.3 |
-inf |
no
|
87.50% |
sm |
-3293.1 |
-inf |
no
|
43.75% |
smac |
-5787.18 |
-inf |
no
|
43.75% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-8309.71 |
-8747.17 |
no
|
87.50% |
dd-ls3 |
-8611.67 |
-8695.67 |
yes
|
87.50% |
dd-ls4 |
-8616.76 |
-8642.74 |
yes
|
87.50% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-8579.02 |
-10502.8 |
no
|
87.50% |
fm |
-8616.76 |
-35481.9 |
yes
|
87.50% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-8077.95 |
-inf |
no
|
81.25% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-8606.4 |
-inf |
no
|
87.50% |
ipfpu |
-8573.93 |
-inf |
no
|
87.50% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-8161.11 |
-10506.5 |
no
|
87.50% |
mp-fw |
-8607.53 |
-9537.69 |
no
|
81.25% |
mpm |
-7786.58 |
-inf |
no
|
87.50% |
mp-mcf |
-8445.09 |
-9465.51 |
no
|
81.25% |
pm |
-5642.42 |
-inf |
no
|
50.00% |
rrwm |
-8450.3 |
-inf |
no
|
87.50% |
sm |
-3293.1 |
-inf |
no
|
43.75% |
smac |
-5787.18 |
-inf |
no
|
43.75% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-8309.71 |
-8747.17 |
no
|
87.50% |
dd-ls3 |
-8611.67 |
-8695.67 |
yes
|
87.50% |
dd-ls4 |
-8616.76 |
-8642.74 |
yes
|
87.50% |
fgmd |
-8611.49 |
-inf |
yes
|
87.50% |
fm-bca |
-8616.76 |
-10502.8 |
yes
|
87.50% |
fm |
-8616.76 |
-35481.9 |
yes
|
87.50% |
fw |
0 |
-inf |
no
|
0.00% |
ga |
-8077.95 |
-inf |
no
|
81.25% |
hbp |
inf |
-inf |
no
|
– |
ipfps |
-8606.4 |
-inf |
no
|
87.50% |
ipfpu |
-8573.93 |
-inf |
no
|
87.50% |
lsm |
0 |
-inf |
no
|
0.00% |
mp |
-8161.11 |
-10506.5 |
no
|
87.50% |
mp-fw |
-8607.53 |
-9389.02 |
no
|
81.25% |
mpm |
-7786.58 |
-inf |
no
|
87.50% |
mp-mcf |
-8514.51 |
-9380.23 |
no
|
81.25% |
pm |
-5642.42 |
-inf |
no
|
50.00% |
rrwm |
-8450.3 |
-inf |
no
|
87.50% |
sm |
-3293.1 |
-inf |
no
|
43.75% |
smac |
-5787.18 |
-inf |
no
|
43.75% |
Other Results for this Dataset
Accumulated results for whole dataset:
caltech-small
Results for individual instances of the dataset: