This page shows the benchmarks results for the dataset instance “house-sparse63”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.1769.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1769 | -66.2094 | yes | 100.00% |
| dd-ls3 | -66.1769 | -66.1786 | yes | 100.00% |
| dd-ls4 | -59.8092 | -69.8983 | no | 93.33% |
| fgmd | inf | -inf | no | – |
| fm-bca | -66.1769 | -66.1769 | yes | 100.00% |
| fm | -66.1769 | -78.8439 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1769 | -inf | yes | 100.00% |
| hbp | -66.1769 | -66.6185 | yes | 100.00% |
| ipfps | -66.1769 | -inf | yes | 100.00% |
| ipfpu | -66.1769 | -inf | yes | 100.00% |
| lsm | -66.1769 | -inf | yes | 100.00% |
| mp | -66.1769 | -66.1769 | yes | 100.00% |
| mp-fw | -66.1769 | -66.1769 | yes | 100.00% |
| mpm | -61.4311 | -inf | no | 90.00% |
| mp-mcf | -66.1769 | -66.1769 | yes | 100.00% |
| pm | -51.8431 | -inf | no | 80.00% |
| rrwm | -66.1769 | -inf | yes | 100.00% |
| sm | -59.5662 | -inf | no | 93.33% |
| smac | -66.1769 | -inf | yes | 100.00% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1769 | -66.2094 | yes | 100.00% |
| dd-ls3 | -66.1769 | -66.1786 | yes | 100.00% |
| dd-ls4 | -66.1769 | -66.1806 | yes | 100.00% |
| fgmd | -66.1769 | -inf | yes | 100.00% |
| fm-bca | -66.1769 | -66.1769 | yes | 100.00% |
| fm | -66.1769 | -78.8439 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1769 | -inf | yes | 100.00% |
| hbp | -66.1769 | -66.6185 | yes | 100.00% |
| ipfps | -66.1769 | -inf | yes | 100.00% |
| ipfpu | -66.1769 | -inf | yes | 100.00% |
| lsm | -66.1769 | -inf | yes | 100.00% |
| mp | -66.1769 | -66.1769 | yes | 100.00% |
| mp-fw | -66.1769 | -66.1769 | yes | 100.00% |
| mpm | -61.4311 | -inf | no | 90.00% |
| mp-mcf | -66.1769 | -66.1769 | yes | 100.00% |
| pm | -51.8431 | -inf | no | 80.00% |
| rrwm | -66.1769 | -inf | yes | 100.00% |
| sm | -59.5662 | -inf | no | 93.33% |
| smac | -66.1769 | -inf | yes | 100.00% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1769 | -66.2094 | yes | 100.00% |
| dd-ls3 | -66.1769 | -66.1786 | yes | 100.00% |
| dd-ls4 | -66.1769 | -66.1806 | yes | 100.00% |
| fgmd | -66.1769 | -inf | yes | 100.00% |
| fm-bca | -66.1769 | -66.1769 | yes | 100.00% |
| fm | -66.1769 | -78.8439 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1769 | -inf | yes | 100.00% |
| hbp | -66.1769 | -66.6185 | yes | 100.00% |
| ipfps | -66.1769 | -inf | yes | 100.00% |
| ipfpu | -66.1769 | -inf | yes | 100.00% |
| lsm | -66.1769 | -inf | yes | 100.00% |
| mp | -66.1769 | -66.1769 | yes | 100.00% |
| mp-fw | -66.1769 | -66.1769 | yes | 100.00% |
| mpm | -61.4311 | -inf | no | 90.00% |
| mp-mcf | -66.1769 | -66.1769 | yes | 100.00% |
| pm | -51.8431 | -inf | no | 80.00% |
| rrwm | -66.1769 | -inf | yes | 100.00% |
| sm | -59.5662 | -inf | no | 93.33% |
| smac | -66.1769 | -inf | yes | 100.00% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1769 | -66.2094 | yes | 100.00% |
| dd-ls3 | -66.1769 | -66.1786 | yes | 100.00% |
| dd-ls4 | -66.1769 | -66.1806 | yes | 100.00% |
| fgmd | -66.1769 | -inf | yes | 100.00% |
| fm-bca | -66.1769 | -66.1769 | yes | 100.00% |
| fm | -66.1769 | -78.8439 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1769 | -inf | yes | 100.00% |
| hbp | -66.1769 | -66.6185 | yes | 100.00% |
| ipfps | -66.1769 | -inf | yes | 100.00% |
| ipfpu | -66.1769 | -inf | yes | 100.00% |
| lsm | -66.1769 | -inf | yes | 100.00% |
| mp | -66.1769 | -66.1769 | yes | 100.00% |
| mp-fw | -66.1769 | -66.1769 | yes | 100.00% |
| mpm | -61.4311 | -inf | no | 90.00% |
| mp-mcf | -66.1769 | -66.1769 | yes | 100.00% |
| pm | -51.8431 | -inf | no | 80.00% |
| rrwm | -66.1769 | -inf | yes | 100.00% |
| sm | -59.5662 | -inf | no | 93.33% |
| smac | -66.1769 | -inf | yes | 100.00% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: