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

János Höner | 595066 | 901872 | 6.87028e-06 | open | – | 256344* | tpl-tub-ss16.mps.gz |

Model for the Post-Enrollment Course Timetabling Problem at TU Berlin from the summer term 2016 and the winter term 2016/2017

Detailed explanation of the following tables can be found here.

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

Variables | 595066 | 589276 |

Constraints | 901872 | 504739 |

Binaries | 570303 | 565191 |

Integers | 0 | 21046 |

Continuous | 24763 | 3039 |

Implicit Integers | 0 | 21046 |

Fixed Variables | 0 | 0 |

Nonzero Density | 6.87028e-06 | 1.10285e-05 |

Nonzeroes | 3687100 | 3280220 |

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

Total | 901872 | 504739 |

Empty | 84802 | 0 |

Free | 0 | 0 |

Singleton | 309044 | 0 |

Aggregations | 1439 | 428 |

Precedence | 93254 | 87674 |

Variable Bound | 197452 | 201065 |

Set Partitioning | 0 | 29878 |

Set Packing | 181990 | 181881 |

Set Covering | 0 | 0 |

Cardinality | 8832 | 0 |

Invariant Knapsack | 252 | 564 |

Equation Knapsack | 0 | 0 |

Bin Packing | 204 | 2 |

Knapsack | 609 | 471 |

Integer Knapsack | 0 | 0 |

Mixed Binary | 23994 | 2776 |

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 | |||||

Constraint % | |||||

Variable % | |||||

Score |

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 | 256344 | 256344 | 0 | 0 | 0 | - | 2018-10-13 | Solution found during MIPLIB2017 problem selection. |

The following instances are most similar to tpl-tub-ss16 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.

```
@article{honer2015ip,
title={An IP-based model for the post-enrollment-based course timetabling problem at TU Berlin},
author={H{\"o}ner, J and Lach, G and Zorn, E},
journal={MISTA},
pages={331--344},
year={2015}
}
```

Last Update Apr 09, 2019 by Gregor Hendel

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