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Solution Not Feasible In Linear Programming In Python Gurobi

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This is continuation of this thread. I am coding MILP using Gurobi in Python where the objective is to maximize the rewards while ensuring the distance constraint is not violated.

Solution 1:

You forgot to call the optimize function after update

opt_model.ModelSense = grb.GRB.MAXIMIZE
opt_model.setObjective(objective)
opt_model.optimize()

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