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: