This page shows the benchmarks results for the dataset instance “car23”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -70.2.
Run time 1s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -70.2016 | -70.2065 | yes | 100.00% |
| dd-ls3 | -50.4025 | -74.2494 | no | 72.73% |
| dd-ls4 | -44.6402 | -80.7028 | no | 48.48% |
| fgmd | inf | -inf | no | – |
| fm-bca | -70.2016 | -70.2016 | yes | 100.00% |
| fm | -70.2016 | -110.287 | yes | 100.00% |
| fw | -67.6438 | -inf | no | 78.79% |
| ga | -70.2016 | -inf | yes | 100.00% |
| hbp | -70.2016 | -72.9474 | yes | 100.00% |
| ipfps | -69.6354 | -inf | no | 93.94% |
| ipfpu | -64.3122 | -inf | no | 75.76% |
| lsm | -51.7507 | -inf | no | 60.61% |
| mp | -70.2016 | -70.2016 | yes | 100.00% |
| mp-fw | -70.2016 | -70.2016 | yes | 100.00% |
| mpm | -63.1424 | -inf | no | 81.82% |
| mp-mcf | -70.2016 | -70.2016 | yes | 100.00% |
| pm | -31.1248 | -inf | no | 18.18% |
| rrwm | -69.6354 | -inf | no | 93.94% |
| sm | -68.3525 | -inf | no | 87.88% |
| smac | -57.8651 | -inf | no | 69.70% |
Run time 10s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -70.2016 | -70.2065 | yes | 100.00% |
| dd-ls3 | -70.2016 | -70.2017 | yes | 100.00% |
| dd-ls4 | -54.8995 | -73.0538 | no | 69.70% |
| fgmd | -70.2016 | -inf | yes | 100.00% |
| fm-bca | -70.2016 | -70.2016 | yes | 100.00% |
| fm | -70.2016 | -110.287 | yes | 100.00% |
| fw | -67.6438 | -inf | no | 78.79% |
| ga | -70.2016 | -inf | yes | 100.00% |
| hbp | -70.2016 | -72.9474 | yes | 100.00% |
| ipfps | -69.6354 | -inf | no | 93.94% |
| ipfpu | -64.3122 | -inf | no | 75.76% |
| lsm | -51.7507 | -inf | no | 60.61% |
| mp | -70.2016 | -70.2016 | yes | 100.00% |
| mp-fw | -70.2016 | -70.2016 | yes | 100.00% |
| mpm | -63.1424 | -inf | no | 81.82% |
| mp-mcf | -70.2016 | -70.2016 | yes | 100.00% |
| pm | -31.1248 | -inf | no | 18.18% |
| rrwm | -69.6354 | -inf | no | 93.94% |
| sm | -68.3525 | -inf | no | 87.88% |
| smac | -57.8651 | -inf | no | 69.70% |
Run time 100s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -70.2016 | -70.2065 | yes | 100.00% |
| dd-ls3 | -70.2016 | -70.2017 | yes | 100.00% |
| dd-ls4 | -70.2016 | -70.2024 | yes | 100.00% |
| fgmd | -70.2016 | -inf | yes | 100.00% |
| fm-bca | -70.2016 | -70.2016 | yes | 100.00% |
| fm | -70.2016 | -110.287 | yes | 100.00% |
| fw | -67.6438 | -inf | no | 78.79% |
| ga | -70.2016 | -inf | yes | 100.00% |
| hbp | -70.2016 | -72.9474 | yes | 100.00% |
| ipfps | -69.6354 | -inf | no | 93.94% |
| ipfpu | -64.3122 | -inf | no | 75.76% |
| lsm | -51.7507 | -inf | no | 60.61% |
| mp | -70.2016 | -70.2016 | yes | 100.00% |
| mp-fw | -70.2016 | -70.2016 | yes | 100.00% |
| mpm | -63.1424 | -inf | no | 81.82% |
| mp-mcf | -70.2016 | -70.2016 | yes | 100.00% |
| pm | -31.1248 | -inf | no | 18.18% |
| rrwm | -69.6354 | -inf | no | 93.94% |
| sm | -68.3525 | -inf | no | 87.88% |
| smac | -57.8651 | -inf | no | 69.70% |
Run time 300s
| method | value | bound | optimal | accuracy |
|---|---|---|---|---|
| dd-ls0 | -70.2016 | -70.2065 | yes | 100.00% |
| dd-ls3 | -70.2016 | -70.2017 | yes | 100.00% |
| dd-ls4 | -70.2016 | -70.2024 | yes | 100.00% |
| fgmd | -70.2016 | -inf | yes | 100.00% |
| fm-bca | -70.2016 | -70.2016 | yes | 100.00% |
| fm | -70.2016 | -110.287 | yes | 100.00% |
| fw | -67.6438 | -inf | no | 78.79% |
| ga | -70.2016 | -inf | yes | 100.00% |
| hbp | -70.2016 | -72.9474 | yes | 100.00% |
| ipfps | -69.6354 | -inf | no | 93.94% |
| ipfpu | -64.3122 | -inf | no | 75.76% |
| lsm | -51.7507 | -inf | no | 60.61% |
| mp | -70.2016 | -70.2016 | yes | 100.00% |
| mp-fw | -70.2016 | -70.2016 | yes | 100.00% |
| mpm | -63.1424 | -inf | no | 81.82% |
| mp-mcf | -70.2016 | -70.2016 | yes | 100.00% |
| pm | -31.1248 | -inf | no | 18.18% |
| rrwm | -69.6354 | -inf | no | 93.94% |
| sm | -68.3525 | -inf | no | 87.88% |
| smac | -57.8651 | -inf | no | 69.70% |
Other Results for this Dataset
Accumulated results for whole dataset: car
Results for individual instances of the dataset: