![]() ![]() You can get aĭetailed error by calling ValidateCpModel(model_proto). The given CpModelProto didn't pass the validation step. StatusĪ feasible solution was found, but we don't know if it's optimal. This example, the value returned is OPTIMAL. The CP-SAT solver returns one of the status values shown in the table below. The following code imports the required library.Ĭonst CpSolverResponse response = Solve(cp_model.Build()) JavaĬpSolverStatus status = solver.solve(model) C#ĬpSolverStatus status = solver.Solve(model) CP-SAT return values It can be very difficult to determine whether there is a feasible solution.įor an example of finding an optimal solution to a CP problem, see Solution is trivial in this case, in more complex constraint programming problems ![]() We'll start by showing how to use the CP-SAT solver to find a single feasible solution Three variables, x, y, and z, each of which can take on the values: 0, 1, or 2.Let's start with a simple example problem in which there are: The following sections present examples that show how to use the CP-SAT solver. If you begin with a problem that has constraints with non-integer terms, you need toįirst multiply those constraints by a sufficiently large integer so that all terms This means you must define your optimization problem using integers only. To increase computational speed, the CP-SAT solver works over The CP-SAT solver, which we describe next.įor an example that solves an integer programming problem usingīoth the CP-SAT solver and the MPSolver wrapper, see.OR-Tools offers two main tools for solving integer programming problems:
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