This page shows the benchmarks results for the dataset instance “motor7”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -64.93.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.9327 | -64.9374 | yes | 100.00% |
| dd-ls3 | -64.9327 | -65.0013 | yes | 100.00% |
| dd-ls4 | -54.3293 | -69.5754 | no | 76.67% |
| fgmd | inf | -inf | no | – |
| fm-bca | -64.9327 | -64.9327 | yes | 100.00% |
| fm | -64.9327 | -94.9322 | yes | 100.00% |
| fw | -63.2455 | -inf | no | 90.00% |
| ga | -64.9327 | -inf | yes | 100.00% |
| hbp | -64.9327 | -66.263 | yes | 100.00% |
| ipfps | -64.0576 | -inf | no | 93.33% |
| ipfpu | -63.2455 | -inf | no | 90.00% |
| lsm | -50.9312 | -inf | no | 63.33% |
| mp | -64.9327 | -64.9327 | yes | 100.00% |
| mp-fw | -64.9327 | -64.9327 | yes | 100.00% |
| mpm | -49.719 | -inf | no | 46.67% |
| mp-mcf | -64.9327 | -64.9327 | yes | 100.00% |
| pm | -40.739 | -inf | no | 43.33% |
| rrwm | -64.0576 | -inf | no | 93.33% |
| sm | -61.3582 | -inf | no | 86.67% |
| smac | -56.897 | -inf | no | 73.33% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.9327 | -64.9374 | yes | 100.00% |
| dd-ls3 | -64.9327 | -64.9365 | yes | 100.00% |
| dd-ls4 | -64.9327 | -64.9332 | yes | 100.00% |
| fgmd | -64.9327 | -inf | yes | 100.00% |
| fm-bca | -64.9327 | -64.9327 | yes | 100.00% |
| fm | -64.9327 | -94.9322 | yes | 100.00% |
| fw | -63.2455 | -inf | no | 90.00% |
| ga | -64.9327 | -inf | yes | 100.00% |
| hbp | -64.9327 | -66.263 | yes | 100.00% |
| ipfps | -64.0576 | -inf | no | 93.33% |
| ipfpu | -63.2455 | -inf | no | 90.00% |
| lsm | -50.9312 | -inf | no | 63.33% |
| mp | -64.9327 | -64.9327 | yes | 100.00% |
| mp-fw | -64.9327 | -64.9327 | yes | 100.00% |
| mpm | -49.719 | -inf | no | 46.67% |
| mp-mcf | -64.9327 | -64.9327 | yes | 100.00% |
| pm | -40.739 | -inf | no | 43.33% |
| rrwm | -64.0576 | -inf | no | 93.33% |
| sm | -61.3582 | -inf | no | 86.67% |
| smac | -56.897 | -inf | no | 73.33% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.9327 | -64.9374 | yes | 100.00% |
| dd-ls3 | -64.9327 | -64.9365 | yes | 100.00% |
| dd-ls4 | -64.9327 | -64.9332 | yes | 100.00% |
| fgmd | -64.9327 | -inf | yes | 100.00% |
| fm-bca | -64.9327 | -64.9327 | yes | 100.00% |
| fm | -64.9327 | -94.9322 | yes | 100.00% |
| fw | -63.2455 | -inf | no | 90.00% |
| ga | -64.9327 | -inf | yes | 100.00% |
| hbp | -64.9327 | -66.263 | yes | 100.00% |
| ipfps | -64.0576 | -inf | no | 93.33% |
| ipfpu | -63.2455 | -inf | no | 90.00% |
| lsm | -50.9312 | -inf | no | 63.33% |
| mp | -64.9327 | -64.9327 | yes | 100.00% |
| mp-fw | -64.9327 | -64.9327 | yes | 100.00% |
| mpm | -49.719 | -inf | no | 46.67% |
| mp-mcf | -64.9327 | -64.9327 | yes | 100.00% |
| pm | -40.739 | -inf | no | 43.33% |
| rrwm | -64.0576 | -inf | no | 93.33% |
| sm | -61.3582 | -inf | no | 86.67% |
| smac | -56.897 | -inf | no | 73.33% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.9327 | -64.9374 | yes | 100.00% |
| dd-ls3 | -64.9327 | -64.9365 | yes | 100.00% |
| dd-ls4 | -64.9327 | -64.9332 | yes | 100.00% |
| fgmd | -64.9327 | -inf | yes | 100.00% |
| fm-bca | -64.9327 | -64.9327 | yes | 100.00% |
| fm | -64.9327 | -94.9322 | yes | 100.00% |
| fw | -63.2455 | -inf | no | 90.00% |
| ga | -64.9327 | -inf | yes | 100.00% |
| hbp | -64.9327 | -66.263 | yes | 100.00% |
| ipfps | -64.0576 | -inf | no | 93.33% |
| ipfpu | -63.2455 | -inf | no | 90.00% |
| lsm | -50.9312 | -inf | no | 63.33% |
| mp | -64.9327 | -64.9327 | yes | 100.00% |
| mp-fw | -64.9327 | -64.9327 | yes | 100.00% |
| mpm | -49.719 | -inf | no | 46.67% |
| mp-mcf | -64.9327 | -64.9327 | yes | 100.00% |
| pm | -40.739 | -inf | no | 43.33% |
| rrwm | -64.0576 | -inf | no | 93.33% |
| sm | -61.3582 | -inf | no | 86.67% |
| smac | -56.897 | -inf | no | 73.33% |
Other Results for this Dataset
Accumulated results for whole dataset: motor
Results for individual instances of the dataset: