Model is leading to suboptimal results in only some iterations
Awaiting user input
I am running my small-version of my model on multiple combination parameters. It's a simple experiments to sanity-check the results of the model. For selected parameter combination the model is clearly suggesting a non-optimal policy (set of decision variable values). It is not clear to me why. I tried to compute the objective function for a tweaked policy for the same set of parameters, and it showed that the tweaked policy is better, so the model is not giving me the optimal results. I am running this experiment in a for loop where I am building the model from scratch in each iteration, I also tried to add model.reset() and it did not make a difference. Any ideas on debugging to figure out the issue?
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Gurobi Staff
Any ideas on debugging to figure out the issue?
Could you please share the log outputs of the disagreeing runs? Could you in best case share the model and parameters which lead to different optimal solution values? Note that uploading files in the Community Forum is not possible but we discuss an alternative in Posting to the Community Forum.
Best regards,
Jaromił0 -
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If by parameter you mean the coefficients in the constraints and objectives, I'd suggest that you also have a look at the articles
- How do I diagnose a wrong solution?
- How do I diagnose a suboptimal objective value returned as optimal by Gurobi?
Gwyneth
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