This page shows the benchmarks results for the dataset instance “house-sparse64”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -67.3393.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -67.3393 | -67.4125 | yes | 100.00% |
| dd-ls3 | -67.3393 | -67.3405 | yes | 100.00% |
| dd-ls4 | -60.9651 | -71.7952 | no | 93.33% |
| fgmd | inf | -inf | no | – |
| fm-bca | -67.3393 | -67.3393 | yes | 100.00% |
| fm | -67.3393 | -78.8422 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -67.3393 | -inf | yes | 100.00% |
| hbp | -67.3393 | -67.3393 | yes | 100.00% |
| ipfps | -67.3393 | -inf | yes | 100.00% |
| ipfpu | -67.3393 | -inf | yes | 100.00% |
| lsm | -67.3393 | -inf | yes | 100.00% |
| mp | -67.3393 | -67.3393 | yes | 100.00% |
| mp-fw | -67.3393 | -67.3393 | yes | 100.00% |
| mpm | -53.8813 | -inf | no | 86.67% |
| mp-mcf | -67.3393 | -67.3393 | yes | 100.00% |
| pm | -52.7519 | -inf | no | 80.00% |
| rrwm | -67.3393 | -inf | yes | 100.00% |
| sm | -67.3393 | -inf | yes | 100.00% |
| smac | -46.5259 | -inf | no | 73.33% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -67.3393 | -67.4125 | yes | 100.00% |
| dd-ls3 | -67.3393 | -67.3405 | yes | 100.00% |
| dd-ls4 | -67.3393 | -67.3413 | yes | 100.00% |
| fgmd | -67.3393 | -inf | yes | 100.00% |
| fm-bca | -67.3393 | -67.3393 | yes | 100.00% |
| fm | -67.3393 | -78.8422 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -67.3393 | -inf | yes | 100.00% |
| hbp | -67.3393 | -67.3393 | yes | 100.00% |
| ipfps | -67.3393 | -inf | yes | 100.00% |
| ipfpu | -67.3393 | -inf | yes | 100.00% |
| lsm | -67.3393 | -inf | yes | 100.00% |
| mp | -67.3393 | -67.3393 | yes | 100.00% |
| mp-fw | -67.3393 | -67.3393 | yes | 100.00% |
| mpm | -53.8813 | -inf | no | 86.67% |
| mp-mcf | -67.3393 | -67.3393 | yes | 100.00% |
| pm | -52.7519 | -inf | no | 80.00% |
| rrwm | -67.3393 | -inf | yes | 100.00% |
| sm | -67.3393 | -inf | yes | 100.00% |
| smac | -46.5259 | -inf | no | 73.33% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -67.3393 | -67.4125 | yes | 100.00% |
| dd-ls3 | -67.3393 | -67.3405 | yes | 100.00% |
| dd-ls4 | -67.3393 | -67.3413 | yes | 100.00% |
| fgmd | -67.3393 | -inf | yes | 100.00% |
| fm-bca | -67.3393 | -67.3393 | yes | 100.00% |
| fm | -67.3393 | -78.8422 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -67.3393 | -inf | yes | 100.00% |
| hbp | -67.3393 | -67.3393 | yes | 100.00% |
| ipfps | -67.3393 | -inf | yes | 100.00% |
| ipfpu | -67.3393 | -inf | yes | 100.00% |
| lsm | -67.3393 | -inf | yes | 100.00% |
| mp | -67.3393 | -67.3393 | yes | 100.00% |
| mp-fw | -67.3393 | -67.3393 | yes | 100.00% |
| mpm | -53.8813 | -inf | no | 86.67% |
| mp-mcf | -67.3393 | -67.3393 | yes | 100.00% |
| pm | -52.7519 | -inf | no | 80.00% |
| rrwm | -67.3393 | -inf | yes | 100.00% |
| sm | -67.3393 | -inf | yes | 100.00% |
| smac | -46.5259 | -inf | no | 73.33% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -67.3393 | -67.4125 | yes | 100.00% |
| dd-ls3 | -67.3393 | -67.3405 | yes | 100.00% |
| dd-ls4 | -67.3393 | -67.3413 | yes | 100.00% |
| fgmd | -67.3393 | -inf | yes | 100.00% |
| fm-bca | -67.3393 | -67.3393 | yes | 100.00% |
| fm | -67.3393 | -78.8422 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -67.3393 | -inf | yes | 100.00% |
| hbp | -67.3393 | -67.3393 | yes | 100.00% |
| ipfps | -67.3393 | -inf | yes | 100.00% |
| ipfpu | -67.3393 | -inf | yes | 100.00% |
| lsm | -67.3393 | -inf | yes | 100.00% |
| mp | -67.3393 | -67.3393 | yes | 100.00% |
| mp-fw | -67.3393 | -67.3393 | yes | 100.00% |
| mpm | -53.8813 | -inf | no | 86.67% |
| mp-mcf | -67.3393 | -67.3393 | yes | 100.00% |
| pm | -52.7519 | -inf | no | 80.00% |
| rrwm | -67.3393 | -inf | yes | 100.00% |
| sm | -67.3393 | -inf | yes | 100.00% |
| smac | -46.5259 | -inf | no | 73.33% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: