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How do you formulate an integer linear programming problem?

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To formulate an Integer Linear Programming (ILP) problem, you start by defining the objective function, which is a linear equation that you want to maximize or minimize; then, identify the decision variables, ensuring that some or all of these variables are restricted to integer values; next, establish the constraints, which are linear inequalities that the decision variables must satisfy; finally, clearly state the non-negativity restrictions, ensuring that all variables take on non-negative values.

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To formulate an Integer Linear Programming (ILP) problem, begin by defining the decision variables that represent the choices to be made, specifying which of them must be integers. Next, establish a linear objective function to be maximized or minimized, expressed in terms of the decision variables. Then, formulate a set of linear constraints that define the relationships among the decision variables and ensure they meet the problem's requirements.

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An ILP problem is formulated by defining:


Decision Variables: Specify which variables are to be integer.

Objective Function: A linear function to be maximized or minimized.

Constraints: Linear inequalities or equalities that define the feasible region.

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