This page shows the benchmarks results for the dataset instance “motor4”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -27.5.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -27.5014 | -27.5144 | yes | 100.00% |
| dd-ls3 | -27.5014 | -27.5018 | yes | 100.00% |
| dd-ls4 | -27.5014 | -27.5029 | yes | 100.00% |
| fgmd | inf | -inf | no | – |
| fm-bca | -27.5014 | -27.5014 | yes | 100.00% |
| fm | -27.5014 | -43.0606 | yes | 100.00% |
| fw | -13.0972 | -inf | no | 26.67% |
| ga | -26.1987 | -inf | no | 66.67% |
| hbp | -27.5014 | -28.131 | yes | 100.00% |
| ipfps | -27.5014 | -inf | yes | 100.00% |
| ipfpu | -25.7146 | -inf | no | 80.00% |
| lsm | -22.4063 | -inf | no | 73.33% |
| mp | -27.5014 | -27.5014 | yes | 100.00% |
| mp-fw | -27.5014 | -27.5014 | yes | 100.00% |
| mpm | -24.5148 | -inf | no | 53.33% |
| mp-mcf | -27.5014 | -27.5014 | yes | 100.00% |
| pm | -15.3924 | -inf | no | 40.00% |
| rrwm | -27.5014 | -inf | yes | 100.00% |
| sm | -27.5014 | -inf | yes | 100.00% |
| smac | -24.8526 | -inf | no | 60.00% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -27.5014 | -27.5144 | yes | 100.00% |
| dd-ls3 | -27.5014 | -27.5018 | yes | 100.00% |
| dd-ls4 | -27.5014 | -27.5029 | yes | 100.00% |
| fgmd | -27.5014 | -inf | yes | 100.00% |
| fm-bca | -27.5014 | -27.5014 | yes | 100.00% |
| fm | -27.5014 | -43.0606 | yes | 100.00% |
| fw | -13.0972 | -inf | no | 26.67% |
| ga | -26.1987 | -inf | no | 66.67% |
| hbp | -27.5014 | -28.131 | yes | 100.00% |
| ipfps | -27.5014 | -inf | yes | 100.00% |
| ipfpu | -25.7146 | -inf | no | 80.00% |
| lsm | -22.4063 | -inf | no | 73.33% |
| mp | -27.5014 | -27.5014 | yes | 100.00% |
| mp-fw | -27.5014 | -27.5014 | yes | 100.00% |
| mpm | -24.5148 | -inf | no | 53.33% |
| mp-mcf | -27.5014 | -27.5014 | yes | 100.00% |
| pm | -15.3924 | -inf | no | 40.00% |
| rrwm | -27.5014 | -inf | yes | 100.00% |
| sm | -27.5014 | -inf | yes | 100.00% |
| smac | -24.8526 | -inf | no | 60.00% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -27.5014 | -27.5144 | yes | 100.00% |
| dd-ls3 | -27.5014 | -27.5018 | yes | 100.00% |
| dd-ls4 | -27.5014 | -27.5029 | yes | 100.00% |
| fgmd | -27.5014 | -inf | yes | 100.00% |
| fm-bca | -27.5014 | -27.5014 | yes | 100.00% |
| fm | -27.5014 | -43.0606 | yes | 100.00% |
| fw | -13.0972 | -inf | no | 26.67% |
| ga | -26.1987 | -inf | no | 66.67% |
| hbp | -27.5014 | -28.131 | yes | 100.00% |
| ipfps | -27.5014 | -inf | yes | 100.00% |
| ipfpu | -25.7146 | -inf | no | 80.00% |
| lsm | -22.4063 | -inf | no | 73.33% |
| mp | -27.5014 | -27.5014 | yes | 100.00% |
| mp-fw | -27.5014 | -27.5014 | yes | 100.00% |
| mpm | -24.5148 | -inf | no | 53.33% |
| mp-mcf | -27.5014 | -27.5014 | yes | 100.00% |
| pm | -15.3924 | -inf | no | 40.00% |
| rrwm | -27.5014 | -inf | yes | 100.00% |
| sm | -27.5014 | -inf | yes | 100.00% |
| smac | -24.8526 | -inf | no | 60.00% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -27.5014 | -27.5144 | yes | 100.00% |
| dd-ls3 | -27.5014 | -27.5018 | yes | 100.00% |
| dd-ls4 | -27.5014 | -27.5029 | yes | 100.00% |
| fgmd | -27.5014 | -inf | yes | 100.00% |
| fm-bca | -27.5014 | -27.5014 | yes | 100.00% |
| fm | -27.5014 | -43.0606 | yes | 100.00% |
| fw | -13.0972 | -inf | no | 26.67% |
| ga | -26.1987 | -inf | no | 66.67% |
| hbp | -27.5014 | -28.131 | yes | 100.00% |
| ipfps | -27.5014 | -inf | yes | 100.00% |
| ipfpu | -25.7146 | -inf | no | 80.00% |
| lsm | -22.4063 | -inf | no | 73.33% |
| mp | -27.5014 | -27.5014 | yes | 100.00% |
| mp-fw | -27.5014 | -27.5014 | yes | 100.00% |
| mpm | -24.5148 | -inf | no | 53.33% |
| mp-mcf | -27.5014 | -27.5014 | yes | 100.00% |
| pm | -15.3924 | -inf | no | 40.00% |
| rrwm | -27.5014 | -inf | yes | 100.00% |
| sm | -27.5014 | -inf | yes | 100.00% |
| smac | -24.8526 | -inf | no | 60.00% |
Other Results for this Dataset
Accumulated results for whole dataset: motor
Results for individual instances of the dataset: