This page shows the benchmarks results for the dataset instance “house-sparse105”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -68.6729.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.6729 | -68.6743 | yes | 100.00% |
| dd-ls3 | -68.6729 | -68.6775 | yes | 100.00% |
| dd-ls4 | -64.3839 | -71.9837 | no | 96.67% |
| fgmd | inf | -inf | no | – |
| fm-bca | -68.6729 | -68.6729 | yes | 100.00% |
| fm | -68.6729 | -78.8415 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.6729 | -inf | yes | 100.00% |
| hbp | -68.6729 | -68.6729 | yes | 100.00% |
| ipfps | -68.6729 | -inf | yes | 100.00% |
| ipfpu | -68.6729 | -inf | yes | 100.00% |
| lsm | -68.6729 | -inf | yes | 100.00% |
| mp | -68.6729 | -68.6729 | yes | 100.00% |
| mp-fw | -68.6729 | -68.6729 | yes | 100.00% |
| mpm | -53.0614 | -inf | no | 86.67% |
| mp-mcf | -68.6729 | -68.6729 | yes | 100.00% |
| pm | -57.9012 | -inf | no | 86.67% |
| rrwm | -68.6729 | -inf | yes | 100.00% |
| sm | -68.6729 | -inf | yes | 100.00% |
| smac | -50.4753 | -inf | no | 83.33% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.6729 | -68.6743 | yes | 100.00% |
| dd-ls3 | -68.6729 | -68.6775 | yes | 100.00% |
| dd-ls4 | -68.6729 | -68.6784 | yes | 100.00% |
| fgmd | -68.6729 | -inf | yes | 100.00% |
| fm-bca | -68.6729 | -68.6729 | yes | 100.00% |
| fm | -68.6729 | -78.8415 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.6729 | -inf | yes | 100.00% |
| hbp | -68.6729 | -68.6729 | yes | 100.00% |
| ipfps | -68.6729 | -inf | yes | 100.00% |
| ipfpu | -68.6729 | -inf | yes | 100.00% |
| lsm | -68.6729 | -inf | yes | 100.00% |
| mp | -68.6729 | -68.6729 | yes | 100.00% |
| mp-fw | -68.6729 | -68.6729 | yes | 100.00% |
| mpm | -53.0614 | -inf | no | 86.67% |
| mp-mcf | -68.6729 | -68.6729 | yes | 100.00% |
| pm | -57.9012 | -inf | no | 86.67% |
| rrwm | -68.6729 | -inf | yes | 100.00% |
| sm | -68.6729 | -inf | yes | 100.00% |
| smac | -50.4753 | -inf | no | 83.33% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.6729 | -68.6743 | yes | 100.00% |
| dd-ls3 | -68.6729 | -68.6775 | yes | 100.00% |
| dd-ls4 | -68.6729 | -68.6784 | yes | 100.00% |
| fgmd | -68.6729 | -inf | yes | 100.00% |
| fm-bca | -68.6729 | -68.6729 | yes | 100.00% |
| fm | -68.6729 | -78.8415 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.6729 | -inf | yes | 100.00% |
| hbp | -68.6729 | -68.6729 | yes | 100.00% |
| ipfps | -68.6729 | -inf | yes | 100.00% |
| ipfpu | -68.6729 | -inf | yes | 100.00% |
| lsm | -68.6729 | -inf | yes | 100.00% |
| mp | -68.6729 | -68.6729 | yes | 100.00% |
| mp-fw | -68.6729 | -68.6729 | yes | 100.00% |
| mpm | -53.0614 | -inf | no | 86.67% |
| mp-mcf | -68.6729 | -68.6729 | yes | 100.00% |
| pm | -57.9012 | -inf | no | 86.67% |
| rrwm | -68.6729 | -inf | yes | 100.00% |
| sm | -68.6729 | -inf | yes | 100.00% |
| smac | -50.4753 | -inf | no | 83.33% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.6729 | -68.6743 | yes | 100.00% |
| dd-ls3 | -68.6729 | -68.6775 | yes | 100.00% |
| dd-ls4 | -68.6729 | -68.6784 | yes | 100.00% |
| fgmd | -68.6729 | -inf | yes | 100.00% |
| fm-bca | -68.6729 | -68.6729 | yes | 100.00% |
| fm | -68.6729 | -78.8415 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.6729 | -inf | yes | 100.00% |
| hbp | -68.6729 | -68.6729 | yes | 100.00% |
| ipfps | -68.6729 | -inf | yes | 100.00% |
| ipfpu | -68.6729 | -inf | yes | 100.00% |
| lsm | -68.6729 | -inf | yes | 100.00% |
| mp | -68.6729 | -68.6729 | yes | 100.00% |
| mp-fw | -68.6729 | -68.6729 | yes | 100.00% |
| mpm | -53.0614 | -inf | no | 86.67% |
| mp-mcf | -68.6729 | -68.6729 | yes | 100.00% |
| pm | -57.9012 | -inf | no | 86.67% |
| rrwm | -68.6729 | -inf | yes | 100.00% |
| sm | -68.6729 | -inf | yes | 100.00% |
| smac | -50.4753 | -inf | no | 83.33% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: