This page shows the benchmarks results for the dataset instance “car15”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.89.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.894 |
-66.8941 |
yes
|
100.00% |
dd-ls3 |
-66.894 |
-66.8958 |
yes
|
100.00% |
dd-ls4 |
-66.347 |
-68.2129 |
no
|
85.71% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-66.894 |
-67.0075 |
yes
|
100.00% |
fm |
-66.894 |
-91.6044 |
yes
|
100.00% |
fw |
-65.9181 |
-inf |
no
|
82.14% |
ga |
-66.368 |
-inf |
no
|
89.29% |
hbp |
-66.894 |
-67.4599 |
yes
|
100.00% |
ipfps |
-66.368 |
-inf |
no
|
89.29% |
ipfpu |
-66.368 |
-inf |
no
|
89.29% |
lsm |
-65.4014 |
-inf |
no
|
82.14% |
mp |
-66.894 |
-66.894 |
yes
|
100.00% |
mp-fw |
-66.894 |
-66.894 |
yes
|
100.00% |
mpm |
-57.8007 |
-inf |
no
|
85.71% |
mp-mcf |
-66.894 |
-66.894 |
yes
|
100.00% |
pm |
-33.5584 |
-inf |
no
|
25.00% |
rrwm |
-66.368 |
-inf |
no
|
89.29% |
sm |
-66.347 |
-inf |
no
|
85.71% |
smac |
-66.368 |
-inf |
no
|
89.29% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.894 |
-66.8941 |
yes
|
100.00% |
dd-ls3 |
-66.894 |
-66.8958 |
yes
|
100.00% |
dd-ls4 |
-66.894 |
-66.8957 |
yes
|
100.00% |
fgmd |
-66.894 |
-inf |
yes
|
100.00% |
fm-bca |
-66.894 |
-67.0075 |
yes
|
100.00% |
fm |
-66.894 |
-91.6044 |
yes
|
100.00% |
fw |
-65.9181 |
-inf |
no
|
82.14% |
ga |
-66.368 |
-inf |
no
|
89.29% |
hbp |
-66.894 |
-67.4599 |
yes
|
100.00% |
ipfps |
-66.368 |
-inf |
no
|
89.29% |
ipfpu |
-66.368 |
-inf |
no
|
89.29% |
lsm |
-65.4014 |
-inf |
no
|
82.14% |
mp |
-66.894 |
-66.894 |
yes
|
100.00% |
mp-fw |
-66.894 |
-66.894 |
yes
|
100.00% |
mpm |
-57.8007 |
-inf |
no
|
85.71% |
mp-mcf |
-66.894 |
-66.894 |
yes
|
100.00% |
pm |
-33.5584 |
-inf |
no
|
25.00% |
rrwm |
-66.368 |
-inf |
no
|
89.29% |
sm |
-66.347 |
-inf |
no
|
85.71% |
smac |
-66.368 |
-inf |
no
|
89.29% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.894 |
-66.8941 |
yes
|
100.00% |
dd-ls3 |
-66.894 |
-66.8958 |
yes
|
100.00% |
dd-ls4 |
-66.894 |
-66.8957 |
yes
|
100.00% |
fgmd |
-66.894 |
-inf |
yes
|
100.00% |
fm-bca |
-66.894 |
-67.0075 |
yes
|
100.00% |
fm |
-66.894 |
-91.6044 |
yes
|
100.00% |
fw |
-65.9181 |
-inf |
no
|
82.14% |
ga |
-66.368 |
-inf |
no
|
89.29% |
hbp |
-66.894 |
-67.4599 |
yes
|
100.00% |
ipfps |
-66.368 |
-inf |
no
|
89.29% |
ipfpu |
-66.368 |
-inf |
no
|
89.29% |
lsm |
-65.4014 |
-inf |
no
|
82.14% |
mp |
-66.894 |
-66.894 |
yes
|
100.00% |
mp-fw |
-66.894 |
-66.894 |
yes
|
100.00% |
mpm |
-57.8007 |
-inf |
no
|
85.71% |
mp-mcf |
-66.894 |
-66.894 |
yes
|
100.00% |
pm |
-33.5584 |
-inf |
no
|
25.00% |
rrwm |
-66.368 |
-inf |
no
|
89.29% |
sm |
-66.347 |
-inf |
no
|
85.71% |
smac |
-66.368 |
-inf |
no
|
89.29% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-66.894 |
-66.8941 |
yes
|
100.00% |
dd-ls3 |
-66.894 |
-66.8958 |
yes
|
100.00% |
dd-ls4 |
-66.894 |
-66.8957 |
yes
|
100.00% |
fgmd |
-66.894 |
-inf |
yes
|
100.00% |
fm-bca |
-66.894 |
-67.0075 |
yes
|
100.00% |
fm |
-66.894 |
-91.6044 |
yes
|
100.00% |
fw |
-65.9181 |
-inf |
no
|
82.14% |
ga |
-66.368 |
-inf |
no
|
89.29% |
hbp |
-66.894 |
-67.4599 |
yes
|
100.00% |
ipfps |
-66.368 |
-inf |
no
|
89.29% |
ipfpu |
-66.368 |
-inf |
no
|
89.29% |
lsm |
-65.4014 |
-inf |
no
|
82.14% |
mp |
-66.894 |
-66.894 |
yes
|
100.00% |
mp-fw |
-66.894 |
-66.894 |
yes
|
100.00% |
mpm |
-57.8007 |
-inf |
no
|
85.71% |
mp-mcf |
-66.894 |
-66.894 |
yes
|
100.00% |
pm |
-33.5584 |
-inf |
no
|
25.00% |
rrwm |
-66.368 |
-inf |
no
|
89.29% |
sm |
-66.347 |
-inf |
no
|
85.71% |
smac |
-66.368 |
-inf |
no
|
89.29% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: