55 lines
2.0 KiB
Java
55 lines
2.0 KiB
Java
// Copyright 2010-2018 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Minimal example to call the GLOP solver.
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// [START program]
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import com.google.ortools.linearsolver.MPConstraint;
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import com.google.ortools.linearsolver.MPObjective;
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import com.google.ortools.linearsolver.MPSolver;
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import com.google.ortools.linearsolver.MPVariable;
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/** Minimal Linear Programming example to showcase calling the solver.*/
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public class SimpleLpProgram {
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static {
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System.loadLibrary("jniortools");
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}
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public static void main(String[] args) throws Exception {
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// Create the linear solver with the GLOP backend.
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MPSolver solver =
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new MPSolver("SimpleLpProgram", MPSolver.OptimizationProblemType.GLOP_LINEAR_PROGRAMMING);
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// Create the variables x and y.
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MPVariable x = solver.makeNumVar(0.0, 1.0, "x");
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MPVariable y = solver.makeNumVar(0.0, 2.0, "y");
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// Create a linear constraint, 0 <= x + y <= 2.
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MPConstraint ct = solver.makeConstraint(0.0, 2.0, "ct");
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ct.setCoefficient(x, 1);
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ct.setCoefficient(y, 1);
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// Create the objective function, 3 * x + y.
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MPObjective objective = solver.objective();
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objective.setCoefficient(x, 3);
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objective.setCoefficient(y, 1);
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objective.setMaximization();
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// Call the solver and display the results.
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solver.solve();
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System.out.println("Solution:");
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System.out.println("x = " + x.solutionValue());
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System.out.println("y = " + y.solutionValue());
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}
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}
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// [END program]
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