This page shows the benchmarks results for the dataset instance “house-sparse66”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -64.1649.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.1649 | -64.1746 | yes | 100.00% |
| dd-ls3 | -64.1649 | -64.1809 | yes | 100.00% |
| dd-ls4 | -49.6005 | -69.8556 | no | 80.00% |
| fgmd | inf | -inf | no | – |
| fm-bca | -64.1649 | -64.1649 | yes | 100.00% |
| fm | -64.1649 | -78.8627 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -64.1649 | -inf | yes | 100.00% |
| hbp | -64.1649 | -65.0165 | yes | 100.00% |
| ipfps | -64.1649 | -inf | yes | 100.00% |
| ipfpu | -64.1649 | -inf | yes | 100.00% |
| lsm | -61.0422 | -inf | no | 93.33% |
| mp | -64.1649 | -64.1649 | yes | 100.00% |
| mp-fw | -64.1649 | -64.1649 | yes | 100.00% |
| mpm | -43.1164 | -inf | no | 73.33% |
| mp-mcf | -64.1649 | -64.1649 | yes | 100.00% |
| pm | -49.7953 | -inf | no | 80.00% |
| rrwm | -64.1649 | -inf | yes | 100.00% |
| sm | -57.5196 | -inf | no | 93.33% |
| smac | -56.1599 | -inf | no | 93.33% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.1649 | -64.1746 | yes | 100.00% |
| dd-ls3 | -64.1649 | -64.1809 | yes | 100.00% |
| dd-ls4 | -64.1649 | -64.1677 | yes | 100.00% |
| fgmd | -64.1649 | -inf | yes | 100.00% |
| fm-bca | -64.1649 | -64.1649 | yes | 100.00% |
| fm | -64.1649 | -78.8627 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -64.1649 | -inf | yes | 100.00% |
| hbp | -64.1649 | -65.0165 | yes | 100.00% |
| ipfps | -64.1649 | -inf | yes | 100.00% |
| ipfpu | -64.1649 | -inf | yes | 100.00% |
| lsm | -61.0422 | -inf | no | 93.33% |
| mp | -64.1649 | -64.1649 | yes | 100.00% |
| mp-fw | -64.1649 | -64.1649 | yes | 100.00% |
| mpm | -43.1164 | -inf | no | 73.33% |
| mp-mcf | -64.1649 | -64.1649 | yes | 100.00% |
| pm | -49.7953 | -inf | no | 80.00% |
| rrwm | -64.1649 | -inf | yes | 100.00% |
| sm | -57.5196 | -inf | no | 93.33% |
| smac | -56.1599 | -inf | no | 93.33% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.1649 | -64.1746 | yes | 100.00% |
| dd-ls3 | -64.1649 | -64.1809 | yes | 100.00% |
| dd-ls4 | -64.1649 | -64.1677 | yes | 100.00% |
| fgmd | -64.1649 | -inf | yes | 100.00% |
| fm-bca | -64.1649 | -64.1649 | yes | 100.00% |
| fm | -64.1649 | -78.8627 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -64.1649 | -inf | yes | 100.00% |
| hbp | -64.1649 | -65.0165 | yes | 100.00% |
| ipfps | -64.1649 | -inf | yes | 100.00% |
| ipfpu | -64.1649 | -inf | yes | 100.00% |
| lsm | -61.0422 | -inf | no | 93.33% |
| mp | -64.1649 | -64.1649 | yes | 100.00% |
| mp-fw | -64.1649 | -64.1649 | yes | 100.00% |
| mpm | -43.1164 | -inf | no | 73.33% |
| mp-mcf | -64.1649 | -64.1649 | yes | 100.00% |
| pm | -49.7953 | -inf | no | 80.00% |
| rrwm | -64.1649 | -inf | yes | 100.00% |
| sm | -57.5196 | -inf | no | 93.33% |
| smac | -56.1599 | -inf | no | 93.33% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -64.1649 | -64.1746 | yes | 100.00% |
| dd-ls3 | -64.1649 | -64.1809 | yes | 100.00% |
| dd-ls4 | -64.1649 | -64.1677 | yes | 100.00% |
| fgmd | -64.1649 | -inf | yes | 100.00% |
| fm-bca | -64.1649 | -64.1649 | yes | 100.00% |
| fm | -64.1649 | -78.8627 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -64.1649 | -inf | yes | 100.00% |
| hbp | -64.1649 | -65.0165 | yes | 100.00% |
| ipfps | -64.1649 | -inf | yes | 100.00% |
| ipfpu | -64.1649 | -inf | yes | 100.00% |
| lsm | -61.0422 | -inf | no | 93.33% |
| mp | -64.1649 | -64.1649 | yes | 100.00% |
| mp-fw | -64.1649 | -64.1649 | yes | 100.00% |
| mpm | -43.1164 | -inf | no | 73.33% |
| mp-mcf | -64.1649 | -64.1649 | yes | 100.00% |
| pm | -49.7953 | -inf | no | 80.00% |
| rrwm | -64.1649 | -inf | yes | 100.00% |
| sm | -57.5196 | -inf | no | 93.33% |
| smac | -56.1599 | -inf | no | 93.33% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: