Using infeasability analsis to track wrong input data

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Christian Peters

2025年05月20日 14:54

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Hi there,

If my model is infeasable due to wrong input data I try to come up with a solution which tells me exactly which input data point is causing the infeasabilty.

My first approach was using feasRelax to generate a minimum cardinality relaxed version of my model and use those generated slack variables to determine the violated constraints. But since the model is really large those contraints still make it impossible act as a unique pointer to the wrongfully used input data fields.

What other approaches can be used to have a chance of pinpointing as precisly as possible to those data points?

 

Any help is much appreciated!

関連

• FeasRelax
• Infeasible

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  Riley Clement

  • Gurobi Staff

  2025年05月20日 20:14

  Hi Christian,

  I am not sure if you've seen this article, but if not it would be worth a look:

  How do I determine why my model is infeasible?

  I would certainly be trying an approach based on IIS before trying feasRelax.

  - Riley

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