This page shows the benchmarks results for the dataset instance “house-sparse4”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -66.1214.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1214 | -66.1226 | yes | 100.00% |
| dd-ls3 | -66.1214 | -66.1502 | yes | 100.00% |
| dd-ls4 | -52.9276 | -70.3994 | no | 83.33% |
| fgmd | inf | -inf | no | – |
| fm-bca | -66.1214 | -66.1214 | yes | 100.00% |
| fm | -66.1214 | -78.7927 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1214 | -inf | yes | 100.00% |
| hbp | -66.1214 | -66.4864 | yes | 100.00% |
| ipfps | -66.1214 | -inf | yes | 100.00% |
| ipfpu | -66.1214 | -inf | yes | 100.00% |
| lsm | -62.9578 | -inf | no | 93.33% |
| mp | -66.1214 | -66.1214 | yes | 100.00% |
| mp-fw | -66.1214 | -66.1214 | yes | 100.00% |
| mpm | -61.5187 | -inf | no | 90.00% |
| mp-mcf | -66.1214 | -66.1214 | yes | 100.00% |
| pm | -53.2895 | -inf | no | 80.00% |
| rrwm | -66.1214 | -inf | yes | 100.00% |
| sm | -66.1214 | -inf | yes | 100.00% |
| smac | -12.0895 | -inf | no | 0.00% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1214 | -66.1226 | yes | 100.00% |
| dd-ls3 | -66.1214 | -66.1502 | yes | 100.00% |
| dd-ls4 | -66.1214 | -66.1248 | yes | 100.00% |
| fgmd | -66.1214 | -inf | yes | 100.00% |
| fm-bca | -66.1214 | -66.1214 | yes | 100.00% |
| fm | -66.1214 | -78.7927 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1214 | -inf | yes | 100.00% |
| hbp | -66.1214 | -66.4864 | yes | 100.00% |
| ipfps | -66.1214 | -inf | yes | 100.00% |
| ipfpu | -66.1214 | -inf | yes | 100.00% |
| lsm | -62.9578 | -inf | no | 93.33% |
| mp | -66.1214 | -66.1214 | yes | 100.00% |
| mp-fw | -66.1214 | -66.1214 | yes | 100.00% |
| mpm | -61.5187 | -inf | no | 90.00% |
| mp-mcf | -66.1214 | -66.1214 | yes | 100.00% |
| pm | -53.2895 | -inf | no | 80.00% |
| rrwm | -66.1214 | -inf | yes | 100.00% |
| sm | -66.1214 | -inf | yes | 100.00% |
| smac | -12.0895 | -inf | no | 0.00% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1214 | -66.1226 | yes | 100.00% |
| dd-ls3 | -66.1214 | -66.1502 | yes | 100.00% |
| dd-ls4 | -66.1214 | -66.1248 | yes | 100.00% |
| fgmd | -66.1214 | -inf | yes | 100.00% |
| fm-bca | -66.1214 | -66.1214 | yes | 100.00% |
| fm | -66.1214 | -78.7927 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1214 | -inf | yes | 100.00% |
| hbp | -66.1214 | -66.4864 | yes | 100.00% |
| ipfps | -66.1214 | -inf | yes | 100.00% |
| ipfpu | -66.1214 | -inf | yes | 100.00% |
| lsm | -62.9578 | -inf | no | 93.33% |
| mp | -66.1214 | -66.1214 | yes | 100.00% |
| mp-fw | -66.1214 | -66.1214 | yes | 100.00% |
| mpm | -61.5187 | -inf | no | 90.00% |
| mp-mcf | -66.1214 | -66.1214 | yes | 100.00% |
| pm | -53.2895 | -inf | no | 80.00% |
| rrwm | -66.1214 | -inf | yes | 100.00% |
| sm | -66.1214 | -inf | yes | 100.00% |
| smac | -12.0895 | -inf | no | 0.00% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -66.1214 | -66.1226 | yes | 100.00% |
| dd-ls3 | -66.1214 | -66.1502 | yes | 100.00% |
| dd-ls4 | -66.1214 | -66.1248 | yes | 100.00% |
| fgmd | -66.1214 | -inf | yes | 100.00% |
| fm-bca | -66.1214 | -66.1214 | yes | 100.00% |
| fm | -66.1214 | -78.7927 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -66.1214 | -inf | yes | 100.00% |
| hbp | -66.1214 | -66.4864 | yes | 100.00% |
| ipfps | -66.1214 | -inf | yes | 100.00% |
| ipfpu | -66.1214 | -inf | yes | 100.00% |
| lsm | -62.9578 | -inf | no | 93.33% |
| mp | -66.1214 | -66.1214 | yes | 100.00% |
| mp-fw | -66.1214 | -66.1214 | yes | 100.00% |
| mpm | -61.5187 | -inf | no | 90.00% |
| mp-mcf | -66.1214 | -66.1214 | yes | 100.00% |
| pm | -53.2895 | -inf | no | 80.00% |
| rrwm | -66.1214 | -inf | yes | 100.00% |
| sm | -66.1214 | -inf | yes | 100.00% |
| smac | -12.0895 | -inf | no | 0.00% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: