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Open Access

Debugging Tool for MILP and MIQCP formulations: obtaining constraints responsible for infeasible or unbounded pyomo models using Gurobi solver.

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Files

debug.py (5.48 KB)

Date

2022-05-10

Type

Software

Authors

Roth, MaximilianORCID 0000-0003-1353-9446

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Optimization problems, in this case written in Pyomo, with modeling errors can lead to infeasibility of the model. From the perspective of the modeler, it is therefore essential to know which constraints lead to the infeasibility of the problem or which constraints are contradictory and which constraints have to be adjusted to make the model feasible. In this case, the IIS (Irreducible Inconsistent Subsystem) function of Gurobi is used as a basis, the interface to Pyomo is implemented and a structured output file is created.

Keywords

MILP, MIQCP, Debugging, Pyomo, Python

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3460
 https://doi.org/10.48328/tudatalib-872

Endorsement

DFG Classification

4.43-02 Softwaretechnik und Programmiersprachen

Project(s)

Faculty

Collections

Mixed-Integer Linear Programming (MILP) Algorithms

License

Open Data Commons Attribution License (ODC-By) v1.0
Except where otherwise noted, this license is described as Open Data Commons Attribution License (ODC-By) v1.0