This page shows the benchmarks results for the dataset instance “house-sparse70”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -69.0241.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -69.0241 | -69.0247 | yes | 100.00% |
| dd-ls3 | -69.0241 | -69.0343 | yes | 100.00% |
| dd-ls4 | -64.9013 | -72.4453 | no | 96.67% |
| fgmd | inf | -inf | no | – |
| fm-bca | -69.0241 | -69.0241 | yes | 100.00% |
| fm | -69.0241 | -78.8559 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -69.0241 | -inf | yes | 100.00% |
| hbp | -69.0241 | -69.0241 | yes | 100.00% |
| ipfps | -69.0241 | -inf | yes | 100.00% |
| ipfpu | -69.0241 | -inf | yes | 100.00% |
| lsm | -69.0241 | -inf | yes | 100.00% |
| mp | -69.0241 | -69.0241 | yes | 100.00% |
| mp-fw | -69.0241 | -69.0241 | yes | 100.00% |
| mpm | -60.8845 | -inf | no | 93.33% |
| mp-mcf | -69.0241 | -69.0241 | yes | 100.00% |
| pm | -58.0829 | -inf | no | 86.67% |
| rrwm | -69.0241 | -inf | yes | 100.00% |
| sm | -69.0241 | -inf | yes | 100.00% |
| smac | -47.0529 | -inf | no | 73.33% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -69.0241 | -69.0247 | yes | 100.00% |
| dd-ls3 | -69.0241 | -69.0343 | yes | 100.00% |
| dd-ls4 | -69.0241 | -69.0313 | yes | 100.00% |
| fgmd | -69.0241 | -inf | yes | 100.00% |
| fm-bca | -69.0241 | -69.0241 | yes | 100.00% |
| fm | -69.0241 | -78.8559 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -69.0241 | -inf | yes | 100.00% |
| hbp | -69.0241 | -69.0241 | yes | 100.00% |
| ipfps | -69.0241 | -inf | yes | 100.00% |
| ipfpu | -69.0241 | -inf | yes | 100.00% |
| lsm | -69.0241 | -inf | yes | 100.00% |
| mp | -69.0241 | -69.0241 | yes | 100.00% |
| mp-fw | -69.0241 | -69.0241 | yes | 100.00% |
| mpm | -60.8845 | -inf | no | 93.33% |
| mp-mcf | -69.0241 | -69.0241 | yes | 100.00% |
| pm | -58.0829 | -inf | no | 86.67% |
| rrwm | -69.0241 | -inf | yes | 100.00% |
| sm | -69.0241 | -inf | yes | 100.00% |
| smac | -47.0529 | -inf | no | 73.33% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -69.0241 | -69.0247 | yes | 100.00% |
| dd-ls3 | -69.0241 | -69.0343 | yes | 100.00% |
| dd-ls4 | -69.0241 | -69.0313 | yes | 100.00% |
| fgmd | -69.0241 | -inf | yes | 100.00% |
| fm-bca | -69.0241 | -69.0241 | yes | 100.00% |
| fm | -69.0241 | -78.8559 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -69.0241 | -inf | yes | 100.00% |
| hbp | -69.0241 | -69.0241 | yes | 100.00% |
| ipfps | -69.0241 | -inf | yes | 100.00% |
| ipfpu | -69.0241 | -inf | yes | 100.00% |
| lsm | -69.0241 | -inf | yes | 100.00% |
| mp | -69.0241 | -69.0241 | yes | 100.00% |
| mp-fw | -69.0241 | -69.0241 | yes | 100.00% |
| mpm | -60.8845 | -inf | no | 93.33% |
| mp-mcf | -69.0241 | -69.0241 | yes | 100.00% |
| pm | -58.0829 | -inf | no | 86.67% |
| rrwm | -69.0241 | -inf | yes | 100.00% |
| sm | -69.0241 | -inf | yes | 100.00% |
| smac | -47.0529 | -inf | no | 73.33% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -69.0241 | -69.0247 | yes | 100.00% |
| dd-ls3 | -69.0241 | -69.0343 | yes | 100.00% |
| dd-ls4 | -69.0241 | -69.0313 | yes | 100.00% |
| fgmd | -69.0241 | -inf | yes | 100.00% |
| fm-bca | -69.0241 | -69.0241 | yes | 100.00% |
| fm | -69.0241 | -78.8559 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -69.0241 | -inf | yes | 100.00% |
| hbp | -69.0241 | -69.0241 | yes | 100.00% |
| ipfps | -69.0241 | -inf | yes | 100.00% |
| ipfpu | -69.0241 | -inf | yes | 100.00% |
| lsm | -69.0241 | -inf | yes | 100.00% |
| mp | -69.0241 | -69.0241 | yes | 100.00% |
| mp-fw | -69.0241 | -69.0241 | yes | 100.00% |
| mpm | -60.8845 | -inf | no | 93.33% |
| mp-mcf | -69.0241 | -69.0241 | yes | 100.00% |
| pm | -58.0829 | -inf | no | 86.67% |
| rrwm | -69.0241 | -inf | yes | 100.00% |
| sm | -69.0241 | -inf | yes | 100.00% |
| smac | -47.0529 | -inf | no | 73.33% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: