Submitter | Variables | Constraints | Density | Status | Group | Objective | MPS File |
---|---|---|---|---|---|---|---|

Jesus Rodriguez | 1322 | 9752 | 2.5106e-03 | hard | hgms | -47314.0858741549 | hgms-det.mps.gz |

Maintenance scheduling of generators in hydropower systems

Detailed explanation of the following tables can be found here.

Original | Presolved | |
---|---|---|

Variables | 1322 | 1237 |

Constraints | 9752 | 9626 |

Binaries | 547 | 524 |

Integers | 0 | 0 |

Continuous | 775 | 713 |

Implicit Integers | 0 | 0 |

Fixed Variables | 62 | 0 |

Nonzero Density | 0.00251060 | 0.00225709 |

Nonzeroes | 32367 | 26876 |

Original | Presolved | |
---|---|---|

Total | 9752 | 9626 |

Empty | 0 | 0 |

Free | 0 | 0 |

Singleton | 49 | 0 |

Aggregations | 75 | 75 |

Precedence | 0 | 0 |

Variable Bound | 299 | 5389 |

Set Partitioning | 65 | 65 |

Set Packing | 36 | 36 |

Set Covering | 8 | 8 |

Cardinality | 0 | 0 |

Invariant Knapsack | 54 | 52 |

Equation Knapsack | 97 | 97 |

Bin Packing | 0 | 0 |

Knapsack | 0 | 0 |

Integer Knapsack | 0 | 0 |

Mixed Binary | 9069 | 3904 |

General Linear | 0 | 0 |

Indicator | 0 | 0 |

Available nonzero structure and decomposition information. Further information can be found here.

Decomposed structure of original problem (dec-file)

Decomposed structure after trivial presolving (dec-file)

value | min | median | mean | max | |
---|---|---|---|---|---|

Components | 2.096910 | ||||

Constraint % | 0.0103993 | 0.471073 | 0.296381 | 1.62230 | |

Variable % | 0.1512860 | 0.551462 | 0.378215 | 7.41301 | |

Score | 0.580151 |

Find solutions below. Download the archive containing all solutions from the Download page.

ID | Objective | Exact | Int. Viol | Cons. Viol | Obj. Viol | Submitter | Date | Description |
---|---|---|---|---|---|---|---|---|

1 | -47314.09 | -47314.09 | 0 | 0 | 0 | - | 2018-10-12 | Solution found during MIPLIB2017 problem selection. |

2 | -47314.09 | 0 | 0 | 0 | Robert Bixby | 2020-02-10 | Solved with Gurobi 9.0 within 11 hours |

The following instances are most similar to hgms-det in the collection. This similarity analysis is based on 100 scaled instance features describing properties of the variables, objective function, bounds, constraints, and right hand sides.

```
@unpublished{key ,
author = {Jesus Rodriguez, Miguel Anjos, Pascal Côté, Guy Desaulniers},
title = {Generator maintenance scheduling in hydro-power systems: MIP formulations and model selection},
note = {Manuscript in preparation},
year = {2017}
}
```

Last Update Nov 16, 2020 by Philipp Wellner

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