Results obtained using Gurobi for solving a nonlinear Facility Location Problem (FLP), using the models described in Mathematical Optimization: Solving Problems using Python and Gurobi.

Parameters used: number of facilities is 10% of the number of customers.

CPU time limited to 300 seconds. (Click on values for selecting data to display.)Instance family | Type | Description |

Num.Int=2 | random | Number of linear segments in the approximation: 2 |

Num.Int=5 | random | Number of linear segments in the approximation: 5 |

Num.Int=10 | random | Number of linear segments in the approximation: 10 |

Num.Int=20 | random | Number of linear segments in the approximation: 20 |

Num.Int=50 | random | Number of linear segments in the approximation: 50 |

Num.Int=100 | random | Number of linear segments in the approximation: 100 |

Num.Int=200 | random | Number of linear segments in the approximation: 200 |

Num.Int=500 | random | Number of linear segments in the approximation: 500 |

Num.Int=1000 | random | Number of linear segments in the approximation: 1000 |