This page shows the benchmarks results for the dataset instance “car19”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -115.11.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-115.107 |
-115.146 |
yes
|
100.00% |
dd-ls3 |
-70.3979 |
-128.307 |
no
|
55.10% |
dd-ls4 |
-69.5753 |
-130.062 |
no
|
53.06% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-115.107 |
-115.107 |
yes
|
100.00% |
fm |
-113.624 |
-169.633 |
no
|
89.80% |
fw |
-110.77 |
-inf |
no
|
77.55% |
ga |
-111.762 |
-inf |
no
|
83.67% |
hbp |
-115.107 |
-117.112 |
yes
|
100.00% |
ipfps |
-102.593 |
-inf |
no
|
73.47% |
ipfpu |
-92.4526 |
-inf |
no
|
65.31% |
lsm |
-51.9479 |
-inf |
no
|
0.00% |
mp |
-115.107 |
-115.107 |
yes
|
100.00% |
mp-fw |
-115.107 |
-115.222 |
yes
|
100.00% |
mpm |
inf |
-inf |
no
|
– |
mp-mcf |
-115.107 |
-115.107 |
yes
|
100.00% |
pm |
-50.8384 |
-inf |
no
|
18.37% |
rrwm |
-112.835 |
-inf |
no
|
93.88% |
sm |
-98.6922 |
-inf |
no
|
69.39% |
smac |
-78.8458 |
-inf |
no
|
48.98% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-115.107 |
-115.146 |
yes
|
100.00% |
dd-ls3 |
-115.107 |
-115.115 |
yes
|
100.00% |
dd-ls4 |
-87.145 |
-121.899 |
no
|
77.55% |
fgmd |
-115.107 |
-inf |
yes
|
100.00% |
fm-bca |
-115.107 |
-115.107 |
yes
|
100.00% |
fm |
-115.107 |
-169.633 |
yes
|
100.00% |
fw |
-110.77 |
-inf |
no
|
77.55% |
ga |
-111.762 |
-inf |
no
|
83.67% |
hbp |
-115.107 |
-117.112 |
yes
|
100.00% |
ipfps |
-102.593 |
-inf |
no
|
73.47% |
ipfpu |
-92.4526 |
-inf |
no
|
65.31% |
lsm |
-51.9479 |
-inf |
no
|
0.00% |
mp |
-115.107 |
-115.107 |
yes
|
100.00% |
mp-fw |
-115.107 |
-115.107 |
yes
|
100.00% |
mpm |
-101.236 |
-inf |
no
|
79.59% |
mp-mcf |
-115.107 |
-115.107 |
yes
|
100.00% |
pm |
-50.8384 |
-inf |
no
|
18.37% |
rrwm |
-112.835 |
-inf |
no
|
93.88% |
sm |
-98.6922 |
-inf |
no
|
69.39% |
smac |
-78.8458 |
-inf |
no
|
48.98% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-115.107 |
-115.146 |
yes
|
100.00% |
dd-ls3 |
-115.107 |
-115.115 |
yes
|
100.00% |
dd-ls4 |
-115.107 |
-115.109 |
yes
|
100.00% |
fgmd |
-115.107 |
-inf |
yes
|
100.00% |
fm-bca |
-115.107 |
-115.107 |
yes
|
100.00% |
fm |
-115.107 |
-169.633 |
yes
|
100.00% |
fw |
-110.77 |
-inf |
no
|
77.55% |
ga |
-111.762 |
-inf |
no
|
83.67% |
hbp |
-115.107 |
-117.112 |
yes
|
100.00% |
ipfps |
-102.593 |
-inf |
no
|
73.47% |
ipfpu |
-92.4526 |
-inf |
no
|
65.31% |
lsm |
-51.9479 |
-inf |
no
|
0.00% |
mp |
-115.107 |
-115.107 |
yes
|
100.00% |
mp-fw |
-115.107 |
-115.107 |
yes
|
100.00% |
mpm |
-101.236 |
-inf |
no
|
79.59% |
mp-mcf |
-115.107 |
-115.107 |
yes
|
100.00% |
pm |
-50.8384 |
-inf |
no
|
18.37% |
rrwm |
-112.835 |
-inf |
no
|
93.88% |
sm |
-98.6922 |
-inf |
no
|
69.39% |
smac |
-78.8458 |
-inf |
no
|
48.98% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-115.107 |
-115.146 |
yes
|
100.00% |
dd-ls3 |
-115.107 |
-115.115 |
yes
|
100.00% |
dd-ls4 |
-115.107 |
-115.109 |
yes
|
100.00% |
fgmd |
-115.107 |
-inf |
yes
|
100.00% |
fm-bca |
-115.107 |
-115.107 |
yes
|
100.00% |
fm |
-115.107 |
-169.633 |
yes
|
100.00% |
fw |
-110.77 |
-inf |
no
|
77.55% |
ga |
-111.762 |
-inf |
no
|
83.67% |
hbp |
-115.107 |
-117.112 |
yes
|
100.00% |
ipfps |
-102.593 |
-inf |
no
|
73.47% |
ipfpu |
-92.4526 |
-inf |
no
|
65.31% |
lsm |
-51.9479 |
-inf |
no
|
0.00% |
mp |
-115.107 |
-115.107 |
yes
|
100.00% |
mp-fw |
-115.107 |
-115.107 |
yes
|
100.00% |
mpm |
-101.236 |
-inf |
no
|
79.59% |
mp-mcf |
-115.107 |
-115.107 |
yes
|
100.00% |
pm |
-50.8384 |
-inf |
no
|
18.37% |
rrwm |
-112.835 |
-inf |
no
|
93.88% |
sm |
-98.6922 |
-inf |
no
|
69.39% |
smac |
-78.8458 |
-inf |
no
|
48.98% |
Other Results for this Dataset
Accumulated results for whole dataset:
car
Results for individual instances of the dataset: