This page shows the benchmarks results for the dataset instance “motor15”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -32.3.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -32.3022 | -32.3143 | yes | 100.00% |
| dd-ls3 | -32.3022 | -32.3044 | yes | 100.00% |
| dd-ls4 | -25.0526 | -36.7808 | no | 55.00% |
| fgmd | inf | -inf | no | – |
| fm-bca | -32.3022 | -35.3027 | yes | 100.00% |
| fm | -32.3022 | -57.7832 | yes | 100.00% |
| fw | -24.4734 | -inf | no | 10.00% |
| ga | -31.2236 | -inf | no | 70.00% |
| hbp | -32.3022 | -36.3643 | yes | 100.00% |
| ipfps | -30.0633 | -inf | no | 55.00% |
| ipfpu | -29.2331 | -inf | no | 65.00% |
| lsm | -26.7246 | -inf | no | 45.00% |
| mp | -32.3022 | -34.9074 | yes | 100.00% |
| mp-fw | -32.3022 | -32.6799 | yes | 100.00% |
| mpm | -15.0945 | -inf | no | 5.00% |
| mp-mcf | -32.3022 | -32.5326 | yes | 100.00% |
| pm | -18.7046 | -inf | no | 10.00% |
| rrwm | -30.2248 | -inf | no | 60.00% |
| sm | -31.2132 | -inf | no | 85.00% |
| smac | -23.6922 | -inf | no | 40.00% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -32.3022 | -32.3143 | yes | 100.00% |
| dd-ls3 | -32.3022 | -32.3044 | yes | 100.00% |
| dd-ls4 | -32.3022 | -32.3029 | yes | 100.00% |
| fgmd | -32.0565 | -inf | no | 85.00% |
| fm-bca | -32.3022 | -35.3027 | yes | 100.00% |
| fm | -32.3022 | -57.7832 | yes | 100.00% |
| fw | -24.4734 | -inf | no | 10.00% |
| ga | -31.2236 | -inf | no | 70.00% |
| hbp | -32.3022 | -36.3643 | yes | 100.00% |
| ipfps | -30.0633 | -inf | no | 55.00% |
| ipfpu | -29.2331 | -inf | no | 65.00% |
| lsm | -26.7246 | -inf | no | 45.00% |
| mp | -32.3022 | -34.9074 | yes | 100.00% |
| mp-fw | -32.3022 | -32.4747 | yes | 100.00% |
| mpm | -15.0945 | -inf | no | 5.00% |
| mp-mcf | -32.3022 | -32.4746 | yes | 100.00% |
| pm | -18.7046 | -inf | no | 10.00% |
| rrwm | -30.2248 | -inf | no | 60.00% |
| sm | -31.2132 | -inf | no | 85.00% |
| smac | -23.6922 | -inf | no | 40.00% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -32.3022 | -32.3143 | yes | 100.00% |
| dd-ls3 | -32.3022 | -32.3044 | yes | 100.00% |
| dd-ls4 | -32.3022 | -32.3029 | yes | 100.00% |
| fgmd | -32.0565 | -inf | no | 85.00% |
| fm-bca | -32.3022 | -35.3027 | yes | 100.00% |
| fm | -32.3022 | -57.7832 | yes | 100.00% |
| fw | -24.4734 | -inf | no | 10.00% |
| ga | -31.2236 | -inf | no | 70.00% |
| hbp | -32.3022 | -36.3643 | yes | 100.00% |
| ipfps | -30.0633 | -inf | no | 55.00% |
| ipfpu | -29.2331 | -inf | no | 65.00% |
| lsm | -26.7246 | -inf | no | 45.00% |
| mp | -32.3022 | -34.9074 | yes | 100.00% |
| mp-fw | -32.3022 | -32.3022 | yes | 100.00% |
| mpm | -15.0945 | -inf | no | 5.00% |
| mp-mcf | -32.3022 | -32.3022 | yes | 100.00% |
| pm | -18.7046 | -inf | no | 10.00% |
| rrwm | -30.2248 | -inf | no | 60.00% |
| sm | -31.2132 | -inf | no | 85.00% |
| smac | -23.6922 | -inf | no | 40.00% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -32.3022 | -32.3143 | yes | 100.00% |
| dd-ls3 | -32.3022 | -32.3044 | yes | 100.00% |
| dd-ls4 | -32.3022 | -32.3029 | yes | 100.00% |
| fgmd | -32.0565 | -inf | no | 85.00% |
| fm-bca | -32.3022 | -35.3027 | yes | 100.00% |
| fm | -32.3022 | -57.7832 | yes | 100.00% |
| fw | -24.4734 | -inf | no | 10.00% |
| ga | -31.2236 | -inf | no | 70.00% |
| hbp | -32.3022 | -36.3643 | yes | 100.00% |
| ipfps | -30.0633 | -inf | no | 55.00% |
| ipfpu | -29.2331 | -inf | no | 65.00% |
| lsm | -26.7246 | -inf | no | 45.00% |
| mp | -32.3022 | -34.9074 | yes | 100.00% |
| mp-fw | -32.3022 | -32.3022 | yes | 100.00% |
| mpm | -15.0945 | -inf | no | 5.00% |
| mp-mcf | -32.3022 | -32.3022 | yes | 100.00% |
| pm | -18.7046 | -inf | no | 10.00% |
| rrwm | -30.2248 | -inf | no | 60.00% |
| sm | -31.2132 | -inf | no | 85.00% |
| smac | -23.6922 | -inf | no | 40.00% |
Other Results for this Dataset
Accumulated results for whole dataset: motor
Results for individual instances of the dataset: