安装

jar包
ortools-7.4-SNAPSHOT.jar
测试

  1. import com.google.ortools.linearsolver.MPConstraint;
  2. import com.google.ortools.linearsolver.MPObjective;
  3. import com.google.ortools.linearsolver.MPSolver;
  4. import com.google.ortools.linearsolver.MPVariable;
  5. import com.google.ortools.util.OrToolsHelper;
  7. public class LinearProgrammingExample {
  8.     //注意这个地方，一定要加这一句
  9.     static {
  10.         OrToolsHelper.loadLibrary();
  11.     }
  13.     public static void main(String[] args) throws Exception {
  14.         MPSolver solver = new MPSolver("LinearProgrammingExample", MPSolver.OptimizationProblemType.GLOP_LINEAR_PROGRAMMING);
  16.         double infinity = java.lang.Double.POSITIVE_INFINITY;
  17.         // x and y are continuous non-negative variables.
  18.         MPVariable x = solver.makeNumVar(0.0, infinity, "x");
  19.         MPVariable y = solver.makeNumVar(0.0, infinity, "y");
  20.         System.out.println("Number of variables = " + solver.numVariables());
  22.         // x + 2*y <= 14.
  23.         MPConstraint c0 = solver.makeConstraint(-infinity, 14.0, "c0");
  24.         c0.setCoefficient(x, 1);
  25.         c0.setCoefficient(y, 2);
  27.         // 3*x - y >= 0.
  28.         MPConstraint c1 = solver.makeConstraint(0.0, infinity, "c1");
  29.         c1.setCoefficient(x, 3);
  30.         c1.setCoefficient(y, -1);
  32.         // x - y <= 2.
  33.         MPConstraint c2 = solver.makeConstraint(-infinity, 2.0, "c2");
  34.         c2.setCoefficient(x, 1);
  35.         c2.setCoefficient(y, -1);
  36.         System.out.println("Number of constraints = " + solver.numConstraints());
  38.         // Maximize 3 * x + 4 * y.
  39.         MPObjective objective = solver.objective();
  40.         objective.setCoefficient(x, 3);
  41.         objective.setCoefficient(y, 4);
  42.         objective.setMaximization();
  44.         final MPSolver.ResultStatus resultStatus = solver.solve();
  45.         // Check that the problem has an optimal solution.
  46.         if (resultStatus != MPSolver.ResultStatus.OPTIMAL) {
  47.             System.err.println("The problem does not have an optimal solution!");
  48.             return;
  49.         }
  51.         // The value of each variable in the solution.
  52.         System.out.println("Solution");
  53.         System.out.println("x = " + x.solutionValue());
  54.         System.out.println("y = " + y.solutionValue());
  56.         // The objective value of the solution.
  57.         System.out.println("Optimal objective value = " + solver.objective().value());
  58.     }
  60. }