Hello Gurobi community, I met a problem on finding the feasible solutions to super under-determined problems.
I am trying to find 10 feasible solutions to the problem containing 25 unknowns limited by 3 constraints. Obviously the problem is very under-determined, and I am expecting the solver should return different feasible solutions easily.
However, no matter how I change the random seed, shuffle the input order of constraints and change the variable names, the solver only returns one feasible solution.
I am wondering why this happened? Is this related to the optimization technique in the solver?
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