This page shows the benchmarks results for the dataset instance “motor10”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -48.95.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -48.9493 | -48.9544 | yes | 100.00% |
| dd-ls3 | -48.9493 | -48.9708 | yes | 100.00% |
| dd-ls4 | -48.9493 | -49.1756 | yes | 100.00% |
| fgmd | inf | -inf | no | – |
| fm-bca | -48.9493 | -48.9493 | yes | 100.00% |
| fm | -48.9493 | -69.3552 | yes | 100.00% |
| fw | -43.0519 | -inf | no | 82.61% |
| ga | -48.9493 | -inf | yes | 100.00% |
| hbp | -48.9493 | -49.0926 | yes | 100.00% |
| ipfps | -48.051 | -inf | no | 91.30% |
| ipfpu | -48.051 | -inf | no | 91.30% |
| lsm | -43.5915 | -inf | no | 78.26% |
| mp | -48.9493 | -48.9493 | yes | 100.00% |
| mp-fw | -48.9493 | -48.9493 | yes | 100.00% |
| mpm | -41.0337 | -inf | no | 73.91% |
| mp-mcf | -48.9493 | -48.9493 | yes | 100.00% |
| pm | -30.3803 | -inf | no | 43.48% |
| rrwm | -48.051 | -inf | no | 91.30% |
| sm | -47.3042 | -inf | no | 91.30% |
| smac | -47.3042 | -inf | no | 91.30% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -48.9493 | -48.9544 | yes | 100.00% |
| dd-ls3 | -48.9493 | -48.9708 | yes | 100.00% |
| dd-ls4 | -48.9493 | -48.9602 | yes | 100.00% |
| fgmd | -48.9493 | -inf | yes | 100.00% |
| fm-bca | -48.9493 | -48.9493 | yes | 100.00% |
| fm | -48.9493 | -69.3552 | yes | 100.00% |
| fw | -43.0519 | -inf | no | 82.61% |
| ga | -48.9493 | -inf | yes | 100.00% |
| hbp | -48.9493 | -49.0926 | yes | 100.00% |
| ipfps | -48.051 | -inf | no | 91.30% |
| ipfpu | -48.051 | -inf | no | 91.30% |
| lsm | -43.5915 | -inf | no | 78.26% |
| mp | -48.9493 | -48.9493 | yes | 100.00% |
| mp-fw | -48.9493 | -48.9493 | yes | 100.00% |
| mpm | -41.0337 | -inf | no | 73.91% |
| mp-mcf | -48.9493 | -48.9493 | yes | 100.00% |
| pm | -30.3803 | -inf | no | 43.48% |
| rrwm | -48.051 | -inf | no | 91.30% |
| sm | -47.3042 | -inf | no | 91.30% |
| smac | -47.3042 | -inf | no | 91.30% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -48.9493 | -48.9544 | yes | 100.00% |
| dd-ls3 | -48.9493 | -48.9708 | yes | 100.00% |
| dd-ls4 | -48.9493 | -48.9602 | yes | 100.00% |
| fgmd | -48.9493 | -inf | yes | 100.00% |
| fm-bca | -48.9493 | -48.9493 | yes | 100.00% |
| fm | -48.9493 | -69.3552 | yes | 100.00% |
| fw | -43.0519 | -inf | no | 82.61% |
| ga | -48.9493 | -inf | yes | 100.00% |
| hbp | -48.9493 | -49.0926 | yes | 100.00% |
| ipfps | -48.051 | -inf | no | 91.30% |
| ipfpu | -48.051 | -inf | no | 91.30% |
| lsm | -43.5915 | -inf | no | 78.26% |
| mp | -48.9493 | -48.9493 | yes | 100.00% |
| mp-fw | -48.9493 | -48.9493 | yes | 100.00% |
| mpm | -41.0337 | -inf | no | 73.91% |
| mp-mcf | -48.9493 | -48.9493 | yes | 100.00% |
| pm | -30.3803 | -inf | no | 43.48% |
| rrwm | -48.051 | -inf | no | 91.30% |
| sm | -47.3042 | -inf | no | 91.30% |
| smac | -47.3042 | -inf | no | 91.30% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -48.9493 | -48.9544 | yes | 100.00% |
| dd-ls3 | -48.9493 | -48.9708 | yes | 100.00% |
| dd-ls4 | -48.9493 | -48.9602 | yes | 100.00% |
| fgmd | -48.9493 | -inf | yes | 100.00% |
| fm-bca | -48.9493 | -48.9493 | yes | 100.00% |
| fm | -48.9493 | -69.3552 | yes | 100.00% |
| fw | -43.0519 | -inf | no | 82.61% |
| ga | -48.9493 | -inf | yes | 100.00% |
| hbp | -48.9493 | -49.0926 | yes | 100.00% |
| ipfps | -48.051 | -inf | no | 91.30% |
| ipfpu | -48.051 | -inf | no | 91.30% |
| lsm | -43.5915 | -inf | no | 78.26% |
| mp | -48.9493 | -48.9493 | yes | 100.00% |
| mp-fw | -48.9493 | -48.9493 | yes | 100.00% |
| mpm | -41.0337 | -inf | no | 73.91% |
| mp-mcf | -48.9493 | -48.9493 | yes | 100.00% |
| pm | -30.3803 | -inf | no | 43.48% |
| rrwm | -48.051 | -inf | no | 91.30% |
| sm | -47.3042 | -inf | no | 91.30% |
| smac | -47.3042 | -inf | no | 91.30% |
Other Results for this Dataset
Accumulated results for whole dataset: motor
Results for individual instances of the dataset: