Files
ortools-clone/ortools/sat/samples/AssignmentTeamsSat.java
2024-01-04 13:43:15 +01:00

148 lines
4.4 KiB
Java

// Copyright 2010-2024 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// [START program]
// CP-SAT example that solves an assignment problem.
package com.google.ortools.sat.samples;
// [START import]
import com.google.ortools.Loader;
import com.google.ortools.sat.CpModel;
import com.google.ortools.sat.CpSolver;
import com.google.ortools.sat.CpSolverStatus;
import com.google.ortools.sat.LinearExpr;
import com.google.ortools.sat.LinearExprBuilder;
import com.google.ortools.sat.Literal;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.IntStream;
// [END import]
/** Assignment problem. */
public class AssignmentTeamsSat {
public static void main(String[] args) {
Loader.loadNativeLibraries();
// Data
// [START data]
int[][] costs = {
{90, 76, 75, 70},
{35, 85, 55, 65},
{125, 95, 90, 105},
{45, 110, 95, 115},
{60, 105, 80, 75},
{45, 65, 110, 95},
};
final int numWorkers = costs.length;
final int numTasks = costs[0].length;
final int[] allWorkers = IntStream.range(0, numWorkers).toArray();
final int[] allTasks = IntStream.range(0, numTasks).toArray();
final int[] team1 = {0, 2, 4};
final int[] team2 = {1, 3, 5};
// Maximum total of tasks for any team
final int teamMax = 2;
// [END data]
// Model
// [START model]
CpModel model = new CpModel();
// [END model]
// Variables
// [START variables]
Literal[][] x = new Literal[numWorkers][numTasks];
// Variables in a 1-dim array.
for (int worker : allWorkers) {
for (int task : allTasks) {
x[worker][task] = model.newBoolVar("x[" + worker + "," + task + "]");
}
}
// [END variables]
// Constraints
// [START constraints]
// Each worker is assigned to at most one task.
for (int worker : allWorkers) {
List<Literal> tasks = new ArrayList<>();
for (int task : allTasks) {
tasks.add(x[worker][task]);
}
model.addAtMostOne(tasks);
}
// Each task is assigned to exactly one worker.
for (int task : allTasks) {
List<Literal> workers = new ArrayList<>();
for (int worker : allWorkers) {
workers.add(x[worker][task]);
}
model.addExactlyOne(workers);
}
// Each team takes at most two tasks.
LinearExprBuilder team1Tasks = LinearExpr.newBuilder();
for (int worker : team1) {
for (int task : allTasks) {
team1Tasks.add(x[worker][task]);
}
}
model.addLessOrEqual(team1Tasks, teamMax);
LinearExprBuilder team2Tasks = LinearExpr.newBuilder();
for (int worker : team2) {
for (int task : allTasks) {
team2Tasks.add(x[worker][task]);
}
}
model.addLessOrEqual(team2Tasks, teamMax);
// [END constraints]
// Objective
// [START objective]
LinearExprBuilder obj = LinearExpr.newBuilder();
for (int worker : allWorkers) {
for (int task : allTasks) {
obj.addTerm(x[worker][task], costs[worker][task]);
}
}
model.minimize(obj);
// [END objective]
// Solve
// [START solve]
CpSolver solver = new CpSolver();
CpSolverStatus status = solver.solve(model);
// [END solve]
// Print solution.
// [START print_solution]
// Check that the problem has a feasible solution.
if (status == CpSolverStatus.OPTIMAL || status == CpSolverStatus.FEASIBLE) {
System.out.println("Total cost: " + solver.objectiveValue() + "\n");
for (int worker : allWorkers) {
for (int task : allTasks) {
if (solver.booleanValue(x[worker][task])) {
System.out.println("Worker " + worker + " assigned to task " + task
+ ". Cost: " + costs[worker][task]);
}
}
}
} else {
System.err.println("No solution found.");
}
// [END print_solution]
}
private AssignmentTeamsSat() {}
}