Integer decision variables

Integer decision variables represent unknown information in a problem.

Integer decision variables represent unknown information in a problem and differ from normal programming variables in that they have domains of possible values and may have constraints placed on the allowed combinations of theses values.

These decision variables are defined by the lower bound and upper bound for the variable. In the C++ API, the following constructor creates a constrained integer variable with bounds -1 and 10:

    IloIntVar myIntVar(env, -1, 10);

In the Java™ API, you create a constrained integer variable with bounds -1 and 10 with the method IloCP.intVar:

    IloIntVar myIntVar = cp.intVar(-1, 10);

In the C# API, you create a constrained integer variable with bounds -1 and 10 with the method CP.IntVar:

    IIntVar myIntVar = cp.IntVar(-1, 10);

In any solution, the value assigned by the optimizer to an integer decision variable must be between the lower and upper bounds, inclusive, of that variable. During the modeling stage, you may also modify the lower and upper bounds of a variable.

In the C++ API of CP Optimizer, the class IloIntVar represents integer decision variables.

In the Java API of CP Optimizer, the interface IloIntVar represents integer decision variables.

In the C# API of CP Optimizer, the interface IIntVar represents integer decision variables.