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

Tatsuya Akutsu | 4500 | 7029 | 8.60024e-04 | hard | bnatt | Infeasible | bnatt500.mps.gz |

We are submitting ILP data for identification of a singletonattractor in a Boolean newtork, which is a well-known problemin computational systems biology.This problem is known to be NP-hard and we developed a methodto transform an instance of the problem to an integer linearprogram (ILP).We used ILPs from artificially generated Boolean networks ofindegree 3.The size of the networks are: 350, 400, 500.Even for the case of 500, we could not find a solution within6 hours using CPLEX 11.2 on a PC with XEON 5470 3.33GHz CPU.(This ILP corresponds to the case of size=350.File format is (zipped) CPLEX LP format.)The details of the method appeared in:T. Akutsu, M. Hayashida and T. Tamura, Integer programming-basedmethods for attractor detection and control of Boolean networks,Proc. The combined 48th IEEE Conference on Decision and Controland 28th Chinese Control Conference (IEEE CDC/CCC 2009), 5610-5617, 2009.

Imported from the MIPLIB2010 submissions.

Detailed explanation of the following tables can be found here.

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

Variables | 4500 | 2529 |

Constraints | 7029 | 5058 |

Binaries | 4500 | 2529 |

Integers | 0 | 0 |

Continuous | 0 | 0 |

Implicit Integers | 0 | 0 |

Fixed Variables | 0 | 0 |

Nonzero Density | 0.000860024 | 0.001664360 |

Nonzeroes | 27203 | 21290 |

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

Total | 7029 | 5058 |

Empty | 0 | 0 |

Free | 0 | 0 |

Singleton | 1971 | 0 |

Aggregations | 0 | 0 |

Precedence | 0 | 24 |

Variable Bound | 0 | 0 |

Set Partitioning | 0 | 0 |

Set Packing | 0 | 0 |

Set Covering | 2029 | 260 |

Cardinality | 0 | 0 |

Invariant Knapsack | 500 | 2257 |

Equation Knapsack | 0 | 0 |

Bin Packing | 0 | 488 |

Knapsack | 0 | 2029 |

Integer Knapsack | 0 | 0 |

Mixed Binary | 2529 | 0 |

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 | 2.589950 | ||||

Constraint % | 0.0395413 | 0.0395413 | 0.0395413 | 0.0395413 | |

Variable % | 0.0790826 | 0.2120760 | 0.1977070 | 0.3558720 | |

Score | 0.153095 |

No solution available for bnatt500 .

The following instances are most similar to bnatt500 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.

Instance | Variables | Binaries | Integers | Continuous | Constraints | Nonz. | Submitter | Group | Status | Objective |
---|---|---|---|---|---|---|---|---|---|---|

bnatt400 | 3600 | 3600 | 0 | 0 | 5614 | 21698 | Tatsuya Akutsu | bnatt | easy | 1 |

s1234 | 2945 | 2945 | 0 | 0 | 8418 | 44641 | Siwei Sun | SiweiSun | open | 34* |

neos-5178119-nalagi | 4167 | 4068 | 0 | 99 | 6921 | 74476 | Jeff Linderoth | neos-pseudoapplication-62 | easy | 22.73999999763 |

circ10-3 | 2700 | 2700 | 0 | 0 | 42620 | 307320 | M. Winkler | – | open | 378* |

supportcase3 | 4191 | 4191 | 0 | 0 | 12702 | 53470 | Michael Winkler | – | hard | 0 |

`No bibliographic information available`

Last Update Nov 19, 2018 by Gregor Hendel

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