I'm using the docplex.mp.model module to run a mixed-integer-programming problem when I ended up receiving an infeasible solution? Is there any way I could use the Feasopt in order to repair my model?
How to use Feasopt with docplex python api?
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DOcplex has a
Relaxerclass that is more general than feasopt. See this example notebook for details about handling infeasible models:https://github.com/IBMDecisionOptimization/docplex-examples/blob/master/examples/mp/jupyter/infeasible.ipynb