This page shows the benchmarks results for the dataset instance “motor19”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -75.29.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -75.2879 | -75.303 | yes | 100.00% |
| dd-ls3 | -75.2879 | -75.3027 | yes | 100.00% |
| dd-ls4 | -72.3917 | -77.9127 | no | 93.55% |
| fgmd | inf | -inf | no | – |
| fm-bca | -75.2879 | -75.2879 | yes | 100.00% |
| fm | -75.2879 | -101.172 | yes | 100.00% |
| fw | -75.2879 | -inf | yes | 100.00% |
| ga | -75.2879 | -inf | yes | 100.00% |
| hbp | -75.2879 | -75.4663 | yes | 100.00% |
| ipfps | -75.2879 | -inf | yes | 100.00% |
| ipfpu | -75.2879 | -inf | yes | 100.00% |
| lsm | -64.9229 | -inf | no | 80.65% |
| mp | -75.2879 | -75.2879 | yes | 100.00% |
| mp-fw | -75.2879 | -75.2879 | yes | 100.00% |
| mpm | -70.5914 | -inf | no | 87.10% |
| mp-mcf | -75.2879 | -75.2879 | yes | 100.00% |
| pm | -34.3141 | -inf | no | 32.26% |
| rrwm | -75.2879 | -inf | yes | 100.00% |
| sm | -75.2879 | -inf | yes | 100.00% |
| smac | -75.2879 | -inf | yes | 100.00% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -75.2879 | -75.303 | yes | 100.00% |
| dd-ls3 | -75.2879 | -75.3027 | yes | 100.00% |
| dd-ls4 | -75.2879 | -75.2957 | yes | 100.00% |
| fgmd | -75.2879 | -inf | yes | 100.00% |
| fm-bca | -75.2879 | -75.2879 | yes | 100.00% |
| fm | -75.2879 | -101.172 | yes | 100.00% |
| fw | -75.2879 | -inf | yes | 100.00% |
| ga | -75.2879 | -inf | yes | 100.00% |
| hbp | -75.2879 | -75.4663 | yes | 100.00% |
| ipfps | -75.2879 | -inf | yes | 100.00% |
| ipfpu | -75.2879 | -inf | yes | 100.00% |
| lsm | -64.9229 | -inf | no | 80.65% |
| mp | -75.2879 | -75.2879 | yes | 100.00% |
| mp-fw | -75.2879 | -75.2879 | yes | 100.00% |
| mpm | -70.5914 | -inf | no | 87.10% |
| mp-mcf | -75.2879 | -75.2879 | yes | 100.00% |
| pm | -34.3141 | -inf | no | 32.26% |
| rrwm | -75.2879 | -inf | yes | 100.00% |
| sm | -75.2879 | -inf | yes | 100.00% |
| smac | -75.2879 | -inf | yes | 100.00% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -75.2879 | -75.303 | yes | 100.00% |
| dd-ls3 | -75.2879 | -75.3027 | yes | 100.00% |
| dd-ls4 | -75.2879 | -75.2957 | yes | 100.00% |
| fgmd | -75.2879 | -inf | yes | 100.00% |
| fm-bca | -75.2879 | -75.2879 | yes | 100.00% |
| fm | -75.2879 | -101.172 | yes | 100.00% |
| fw | -75.2879 | -inf | yes | 100.00% |
| ga | -75.2879 | -inf | yes | 100.00% |
| hbp | -75.2879 | -75.4663 | yes | 100.00% |
| ipfps | -75.2879 | -inf | yes | 100.00% |
| ipfpu | -75.2879 | -inf | yes | 100.00% |
| lsm | -64.9229 | -inf | no | 80.65% |
| mp | -75.2879 | -75.2879 | yes | 100.00% |
| mp-fw | -75.2879 | -75.2879 | yes | 100.00% |
| mpm | -70.5914 | -inf | no | 87.10% |
| mp-mcf | -75.2879 | -75.2879 | yes | 100.00% |
| pm | -34.3141 | -inf | no | 32.26% |
| rrwm | -75.2879 | -inf | yes | 100.00% |
| sm | -75.2879 | -inf | yes | 100.00% |
| smac | -75.2879 | -inf | yes | 100.00% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -75.2879 | -75.303 | yes | 100.00% |
| dd-ls3 | -75.2879 | -75.3027 | yes | 100.00% |
| dd-ls4 | -75.2879 | -75.2957 | yes | 100.00% |
| fgmd | -75.2879 | -inf | yes | 100.00% |
| fm-bca | -75.2879 | -75.2879 | yes | 100.00% |
| fm | -75.2879 | -101.172 | yes | 100.00% |
| fw | -75.2879 | -inf | yes | 100.00% |
| ga | -75.2879 | -inf | yes | 100.00% |
| hbp | -75.2879 | -75.4663 | yes | 100.00% |
| ipfps | -75.2879 | -inf | yes | 100.00% |
| ipfpu | -75.2879 | -inf | yes | 100.00% |
| lsm | -64.9229 | -inf | no | 80.65% |
| mp | -75.2879 | -75.2879 | yes | 100.00% |
| mp-fw | -75.2879 | -75.2879 | yes | 100.00% |
| mpm | -70.5914 | -inf | no | 87.10% |
| mp-mcf | -75.2879 | -75.2879 | yes | 100.00% |
| pm | -34.3141 | -inf | no | 32.26% |
| rrwm | -75.2879 | -inf | yes | 100.00% |
| sm | -75.2879 | -inf | yes | 100.00% |
| smac | -75.2879 | -inf | yes | 100.00% |
Other Results for this Dataset
Accumulated results for whole dataset: motor
Results for individual instances of the dataset: