Question: Here are the decision variables and constraints of an integer linear optimization model: x 1 , x 2 are integer x 1 x 2 >

Here are the decision variables and constraints of an integer linear optimization model: x1, x2 are integer x1 x2>=1.5 x1>=1 x1<=3 x1, x2>=01. How many feasible decision points are there? 2. If the objective function is to maximize x1, then how many optimal decision points are there? 3. If the objective function is to maximize x1+ x2, then what is the optimal objective value?

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