This page shows the benchmarks results for the dataset instance “house-sparse104”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -68.5958.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.5958 | -68.6644 | yes | 100.00% |
| dd-ls3 | -68.5958 | -68.6022 | yes | 100.00% |
| dd-ls4 | -61.4186 | -72.2127 | no | 93.33% |
| fgmd | inf | -inf | no | – |
| fm-bca | -68.5958 | -68.5958 | yes | 100.00% |
| fm | -68.5958 | -78.8523 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.5958 | -inf | yes | 100.00% |
| hbp | -68.5958 | -68.5958 | yes | 100.00% |
| ipfps | -68.5958 | -inf | yes | 100.00% |
| ipfpu | -68.5958 | -inf | yes | 100.00% |
| lsm | -68.5958 | -inf | yes | 100.00% |
| mp | -68.5958 | -68.5958 | yes | 100.00% |
| mp-fw | -68.5958 | -68.5958 | yes | 100.00% |
| mpm | -60.3171 | -inf | no | 93.33% |
| mp-mcf | -68.5958 | -68.5958 | yes | 100.00% |
| pm | -59.4906 | -inf | no | 90.00% |
| rrwm | -68.5958 | -inf | yes | 100.00% |
| sm | -68.5958 | -inf | yes | 100.00% |
| smac | -51.5178 | -inf | no | 83.33% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.5958 | -68.6644 | yes | 100.00% |
| dd-ls3 | -68.5958 | -68.6022 | yes | 100.00% |
| dd-ls4 | -68.5958 | -68.6036 | yes | 100.00% |
| fgmd | -68.5958 | -inf | yes | 100.00% |
| fm-bca | -68.5958 | -68.5958 | yes | 100.00% |
| fm | -68.5958 | -78.8523 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.5958 | -inf | yes | 100.00% |
| hbp | -68.5958 | -68.5958 | yes | 100.00% |
| ipfps | -68.5958 | -inf | yes | 100.00% |
| ipfpu | -68.5958 | -inf | yes | 100.00% |
| lsm | -68.5958 | -inf | yes | 100.00% |
| mp | -68.5958 | -68.5958 | yes | 100.00% |
| mp-fw | -68.5958 | -68.5958 | yes | 100.00% |
| mpm | -60.3171 | -inf | no | 93.33% |
| mp-mcf | -68.5958 | -68.5958 | yes | 100.00% |
| pm | -59.4906 | -inf | no | 90.00% |
| rrwm | -68.5958 | -inf | yes | 100.00% |
| sm | -68.5958 | -inf | yes | 100.00% |
| smac | -51.5178 | -inf | no | 83.33% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.5958 | -68.6644 | yes | 100.00% |
| dd-ls3 | -68.5958 | -68.6022 | yes | 100.00% |
| dd-ls4 | -68.5958 | -68.6036 | yes | 100.00% |
| fgmd | -68.5958 | -inf | yes | 100.00% |
| fm-bca | -68.5958 | -68.5958 | yes | 100.00% |
| fm | -68.5958 | -78.8523 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.5958 | -inf | yes | 100.00% |
| hbp | -68.5958 | -68.5958 | yes | 100.00% |
| ipfps | -68.5958 | -inf | yes | 100.00% |
| ipfpu | -68.5958 | -inf | yes | 100.00% |
| lsm | -68.5958 | -inf | yes | 100.00% |
| mp | -68.5958 | -68.5958 | yes | 100.00% |
| mp-fw | -68.5958 | -68.5958 | yes | 100.00% |
| mpm | -60.3171 | -inf | no | 93.33% |
| mp-mcf | -68.5958 | -68.5958 | yes | 100.00% |
| pm | -59.4906 | -inf | no | 90.00% |
| rrwm | -68.5958 | -inf | yes | 100.00% |
| sm | -68.5958 | -inf | yes | 100.00% |
| smac | -51.5178 | -inf | no | 83.33% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -68.5958 | -68.6644 | yes | 100.00% |
| dd-ls3 | -68.5958 | -68.6022 | yes | 100.00% |
| dd-ls4 | -68.5958 | -68.6036 | yes | 100.00% |
| fgmd | -68.5958 | -inf | yes | 100.00% |
| fm-bca | -68.5958 | -68.5958 | yes | 100.00% |
| fm | -68.5958 | -78.8523 | yes | 100.00% |
| fw | 0 | -inf | no | 0.00% |
| ga | -68.5958 | -inf | yes | 100.00% |
| hbp | -68.5958 | -68.5958 | yes | 100.00% |
| ipfps | -68.5958 | -inf | yes | 100.00% |
| ipfpu | -68.5958 | -inf | yes | 100.00% |
| lsm | -68.5958 | -inf | yes | 100.00% |
| mp | -68.5958 | -68.5958 | yes | 100.00% |
| mp-fw | -68.5958 | -68.5958 | yes | 100.00% |
| mpm | -60.3171 | -inf | no | 93.33% |
| mp-mcf | -68.5958 | -68.5958 | yes | 100.00% |
| pm | -59.4906 | -inf | no | 90.00% |
| rrwm | -68.5958 | -inf | yes | 100.00% |
| sm | -68.5958 | -inf | yes | 100.00% |
| smac | -51.5178 | -inf | no | 83.33% |
Other Results for this Dataset
Accumulated results for whole dataset: house-sparse
Results for individual instances of the dataset: