This page shows the benchmarks results for the dataset instance “motor9”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -55.17.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -55.1693 | -55.1766 | yes | 100.00% |
| dd-ls3 | -55.1693 | -55.1788 | yes | 100.00% |
| dd-ls4 | -52.3979 | -57.4661 | no | 92.31% |
| fgmd | inf | -inf | no | – |
| fm-bca | -55.1693 | -55.1693 | yes | 100.00% |
| fm | -55.1693 | -81.8423 | yes | 100.00% |
| fw | -49.6761 | -inf | no | 84.62% |
| ga | -55.1693 | -inf | yes | 100.00% |
| hbp | -55.1693 | -56.0295 | yes | 100.00% |
| ipfps | -52.5608 | -inf | no | 88.46% |
| ipfpu | -46.902 | -inf | no | 69.23% |
| lsm | -36.6167 | -inf | no | 50.00% |
| mp | -55.1693 | -55.1693 | yes | 100.00% |
| mp-fw | -55.1693 | -55.1693 | yes | 100.00% |
| mpm | -31.3174 | -inf | no | 30.77% |
| mp-mcf | -55.1693 | -55.1693 | yes | 100.00% |
| pm | -38.834 | -inf | no | 46.15% |
| rrwm | -55.1693 | -inf | yes | 100.00% |
| sm | -55.1693 | -inf | yes | 100.00% |
| smac | -49.2424 | -inf | no | 84.62% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -55.1693 | -55.1766 | yes | 100.00% |
| dd-ls3 | -55.1693 | -55.1788 | yes | 100.00% |
| dd-ls4 | -55.1693 | -55.1729 | yes | 100.00% |
| fgmd | -55.1693 | -inf | yes | 100.00% |
| fm-bca | -55.1693 | -55.1693 | yes | 100.00% |
| fm | -55.1693 | -81.8423 | yes | 100.00% |
| fw | -49.6761 | -inf | no | 84.62% |
| ga | -55.1693 | -inf | yes | 100.00% |
| hbp | -55.1693 | -56.0295 | yes | 100.00% |
| ipfps | -52.5608 | -inf | no | 88.46% |
| ipfpu | -46.902 | -inf | no | 69.23% |
| lsm | -36.6167 | -inf | no | 50.00% |
| mp | -55.1693 | -55.1693 | yes | 100.00% |
| mp-fw | -55.1693 | -55.1693 | yes | 100.00% |
| mpm | -31.3174 | -inf | no | 30.77% |
| mp-mcf | -55.1693 | -55.1693 | yes | 100.00% |
| pm | -38.834 | -inf | no | 46.15% |
| rrwm | -55.1693 | -inf | yes | 100.00% |
| sm | -55.1693 | -inf | yes | 100.00% |
| smac | -49.2424 | -inf | no | 84.62% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -55.1693 | -55.1766 | yes | 100.00% |
| dd-ls3 | -55.1693 | -55.1788 | yes | 100.00% |
| dd-ls4 | -55.1693 | -55.1729 | yes | 100.00% |
| fgmd | -55.1693 | -inf | yes | 100.00% |
| fm-bca | -55.1693 | -55.1693 | yes | 100.00% |
| fm | -55.1693 | -81.8423 | yes | 100.00% |
| fw | -49.6761 | -inf | no | 84.62% |
| ga | -55.1693 | -inf | yes | 100.00% |
| hbp | -55.1693 | -56.0295 | yes | 100.00% |
| ipfps | -52.5608 | -inf | no | 88.46% |
| ipfpu | -46.902 | -inf | no | 69.23% |
| lsm | -36.6167 | -inf | no | 50.00% |
| mp | -55.1693 | -55.1693 | yes | 100.00% |
| mp-fw | -55.1693 | -55.1693 | yes | 100.00% |
| mpm | -31.3174 | -inf | no | 30.77% |
| mp-mcf | -55.1693 | -55.1693 | yes | 100.00% |
| pm | -38.834 | -inf | no | 46.15% |
| rrwm | -55.1693 | -inf | yes | 100.00% |
| sm | -55.1693 | -inf | yes | 100.00% |
| smac | -49.2424 | -inf | no | 84.62% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -55.1693 | -55.1766 | yes | 100.00% |
| dd-ls3 | -55.1693 | -55.1788 | yes | 100.00% |
| dd-ls4 | -55.1693 | -55.1729 | yes | 100.00% |
| fgmd | -55.1693 | -inf | yes | 100.00% |
| fm-bca | -55.1693 | -55.1693 | yes | 100.00% |
| fm | -55.1693 | -81.8423 | yes | 100.00% |
| fw | -49.6761 | -inf | no | 84.62% |
| ga | -55.1693 | -inf | yes | 100.00% |
| hbp | -55.1693 | -56.0295 | yes | 100.00% |
| ipfps | -52.5608 | -inf | no | 88.46% |
| ipfpu | -46.902 | -inf | no | 69.23% |
| lsm | -36.6167 | -inf | no | 50.00% |
| mp | -55.1693 | -55.1693 | yes | 100.00% |
| mp-fw | -55.1693 | -55.1693 | yes | 100.00% |
| mpm | -31.3174 | -inf | no | 30.77% |
| mp-mcf | -55.1693 | -55.1693 | yes | 100.00% |
| pm | -38.834 | -inf | no | 46.15% |
| rrwm | -55.1693 | -inf | yes | 100.00% |
| sm | -55.1693 | -inf | yes | 100.00% |
| smac | -49.2424 | -inf | no | 84.62% |
Other Results for this Dataset
Accumulated results for whole dataset: motor
Results for individual instances of the dataset: