This page shows the benchmarks results for the dataset instance “motor16”.
We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -75.13.
Run time 1s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-75.1333 |
-75.1641 |
yes
|
100.00% |
dd-ls3 |
-60.9478 |
-78.9081 |
no
|
80.00% |
dd-ls4 |
-59.8799 |
-80.9381 |
no
|
77.14% |
fgmd |
inf |
-inf |
no
|
– |
fm-bca |
-75.1333 |
-75.1333 |
yes
|
100.00% |
fm |
-75.1333 |
-115.346 |
yes
|
100.00% |
fw |
-71.2867 |
-inf |
no
|
88.57% |
ga |
-73.09 |
-inf |
no
|
91.43% |
hbp |
-75.1333 |
-76.2768 |
yes
|
100.00% |
ipfps |
-69.712 |
-inf |
no
|
80.00% |
ipfpu |
-69.712 |
-inf |
no
|
80.00% |
lsm |
-61.059 |
-inf |
no
|
60.00% |
mp |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mp-fw |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mpm |
-63.7885 |
-inf |
no
|
77.14% |
mp-mcf |
-75.1333 |
-75.1333 |
yes
|
100.00% |
pm |
-31.4123 |
-inf |
no
|
14.29% |
rrwm |
-75.1333 |
-inf |
yes
|
100.00% |
sm |
-75.1333 |
-inf |
yes
|
100.00% |
smac |
-69.2104 |
-inf |
no
|
82.86% |
Run time 10s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-75.1333 |
-75.1641 |
yes
|
100.00% |
dd-ls3 |
-75.1333 |
-75.1365 |
yes
|
100.00% |
dd-ls4 |
-75.1333 |
-77.3683 |
yes
|
100.00% |
fgmd |
-75.1333 |
-inf |
yes
|
100.00% |
fm-bca |
-75.1333 |
-75.1333 |
yes
|
100.00% |
fm |
-75.1333 |
-115.346 |
yes
|
100.00% |
fw |
-71.2867 |
-inf |
no
|
88.57% |
ga |
-73.09 |
-inf |
no
|
91.43% |
hbp |
-75.1333 |
-76.2768 |
yes
|
100.00% |
ipfps |
-69.712 |
-inf |
no
|
80.00% |
ipfpu |
-69.712 |
-inf |
no
|
80.00% |
lsm |
-61.059 |
-inf |
no
|
60.00% |
mp |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mp-fw |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mpm |
-63.7885 |
-inf |
no
|
77.14% |
mp-mcf |
-75.1333 |
-75.1333 |
yes
|
100.00% |
pm |
-31.4123 |
-inf |
no
|
14.29% |
rrwm |
-75.1333 |
-inf |
yes
|
100.00% |
sm |
-75.1333 |
-inf |
yes
|
100.00% |
smac |
-69.2104 |
-inf |
no
|
82.86% |
Run time 100s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-75.1333 |
-75.1641 |
yes
|
100.00% |
dd-ls3 |
-75.1333 |
-75.1365 |
yes
|
100.00% |
dd-ls4 |
-75.1333 |
-75.1431 |
yes
|
100.00% |
fgmd |
-75.1333 |
-inf |
yes
|
100.00% |
fm-bca |
-75.1333 |
-75.1333 |
yes
|
100.00% |
fm |
-75.1333 |
-115.346 |
yes
|
100.00% |
fw |
-71.2867 |
-inf |
no
|
88.57% |
ga |
-73.09 |
-inf |
no
|
91.43% |
hbp |
-75.1333 |
-76.2768 |
yes
|
100.00% |
ipfps |
-69.712 |
-inf |
no
|
80.00% |
ipfpu |
-69.712 |
-inf |
no
|
80.00% |
lsm |
-61.059 |
-inf |
no
|
60.00% |
mp |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mp-fw |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mpm |
-63.7885 |
-inf |
no
|
77.14% |
mp-mcf |
-75.1333 |
-75.1333 |
yes
|
100.00% |
pm |
-31.4123 |
-inf |
no
|
14.29% |
rrwm |
-75.1333 |
-inf |
yes
|
100.00% |
sm |
-75.1333 |
-inf |
yes
|
100.00% |
smac |
-69.2104 |
-inf |
no
|
82.86% |
Run time 300s
method |
value |
bound |
optimal |
accuracy |
dd-ls0 |
-75.1333 |
-75.1641 |
yes
|
100.00% |
dd-ls3 |
-75.1333 |
-75.1365 |
yes
|
100.00% |
dd-ls4 |
-75.1333 |
-75.1431 |
yes
|
100.00% |
fgmd |
-75.1333 |
-inf |
yes
|
100.00% |
fm-bca |
-75.1333 |
-75.1333 |
yes
|
100.00% |
fm |
-75.1333 |
-115.346 |
yes
|
100.00% |
fw |
-71.2867 |
-inf |
no
|
88.57% |
ga |
-73.09 |
-inf |
no
|
91.43% |
hbp |
-75.1333 |
-76.2768 |
yes
|
100.00% |
ipfps |
-69.712 |
-inf |
no
|
80.00% |
ipfpu |
-69.712 |
-inf |
no
|
80.00% |
lsm |
-61.059 |
-inf |
no
|
60.00% |
mp |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mp-fw |
-75.1333 |
-75.1333 |
yes
|
100.00% |
mpm |
-63.7885 |
-inf |
no
|
77.14% |
mp-mcf |
-75.1333 |
-75.1333 |
yes
|
100.00% |
pm |
-31.4123 |
-inf |
no
|
14.29% |
rrwm |
-75.1333 |
-inf |
yes
|
100.00% |
sm |
-75.1333 |
-inf |
yes
|
100.00% |
smac |
-69.2104 |
-inf |
no
|
82.86% |
Other Results for this Dataset
Accumulated results for whole dataset:
motor
Results for individual instances of the dataset: