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VrpSolutionCallback.java
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VrpSolutionCallback.java
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// 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]
package com.google.ortools.constraintsolver.samples;
// [START import]
import com.google.ortools.Loader;
import com.google.ortools.constraintsolver.Assignment;
import com.google.ortools.constraintsolver.FirstSolutionStrategy;
import com.google.ortools.constraintsolver.LocalSearchMetaheuristic;
import com.google.ortools.constraintsolver.RoutingDimension;
import com.google.ortools.constraintsolver.RoutingIndexManager;
import com.google.ortools.constraintsolver.RoutingModel;
import com.google.ortools.constraintsolver.RoutingSearchParameters;
import com.google.ortools.constraintsolver.main;
import com.google.protobuf.Duration;
import java.util.logging.Logger;
// [END import]
/** Minimal VRP. */
public final class VrpSolutionCallback {
private static final Logger logger = Logger.getLogger(VrpSolutionCallback.class.getName());
// [START data_model]
static class DataModel {
public final long[][] distanceMatrix = {
{0, 548, 776, 696, 582, 274, 502, 194, 308, 194, 536, 502, 388, 354, 468, 776, 662},
{548, 0, 684, 308, 194, 502, 730, 354, 696, 742, 1084, 594, 480, 674, 1016, 868, 1210},
{776, 684, 0, 992, 878, 502, 274, 810, 468, 742, 400, 1278, 1164, 1130, 788, 1552, 754},
{696, 308, 992, 0, 114, 650, 878, 502, 844, 890, 1232, 514, 628, 822, 1164, 560, 1358},
{582, 194, 878, 114, 0, 536, 764, 388, 730, 776, 1118, 400, 514, 708, 1050, 674, 1244},
{274, 502, 502, 650, 536, 0, 228, 308, 194, 240, 582, 776, 662, 628, 514, 1050, 708},
{502, 730, 274, 878, 764, 228, 0, 536, 194, 468, 354, 1004, 890, 856, 514, 1278, 480},
{194, 354, 810, 502, 388, 308, 536, 0, 342, 388, 730, 468, 354, 320, 662, 742, 856},
{308, 696, 468, 844, 730, 194, 194, 342, 0, 274, 388, 810, 696, 662, 320, 1084, 514},
{194, 742, 742, 890, 776, 240, 468, 388, 274, 0, 342, 536, 422, 388, 274, 810, 468},
{536, 1084, 400, 1232, 1118, 582, 354, 730, 388, 342, 0, 878, 764, 730, 388, 1152, 354},
{502, 594, 1278, 514, 400, 776, 1004, 468, 810, 536, 878, 0, 114, 308, 650, 274, 844},
{388, 480, 1164, 628, 514, 662, 890, 354, 696, 422, 764, 114, 0, 194, 536, 388, 730},
{354, 674, 1130, 822, 708, 628, 856, 320, 662, 388, 730, 308, 194, 0, 342, 422, 536},
{468, 1016, 788, 1164, 1050, 514, 514, 662, 320, 274, 388, 650, 536, 342, 0, 764, 194},
{776, 868, 1552, 560, 674, 1050, 1278, 742, 1084, 810, 1152, 274, 388, 422, 764, 0, 798},
{662, 1210, 754, 1358, 1244, 708, 480, 856, 514, 468, 354, 844, 730, 536, 194, 798, 0},
};
public final int vehicleNumber = 4;
public final int depot = 0;
}
// [END data_model]
// [START solution_callback_printer]
/// @brief Print the solution.
static void printSolution(RoutingIndexManager routingManager, RoutingModel routingModel) {
// Solution cost.
logger.info("################");
logger.info("Solution objective : " + routingModel.costVar().value());
// Inspect solution.
long totalDistance = 0;
for (int i = 0; i < routingManager.getNumberOfVehicles(); ++i) {
logger.info("Route for Vehicle " + i + ":");
long routeDistance = 0;
long index = routingModel.start(i);
String route = "";
while (!routingModel.isEnd(index)) {
route += routingManager.indexToNode(index) + " -> ";
long previousIndex = index;
index = routingModel.nextVar(index).value();
routeDistance += routingModel.getArcCostForVehicle(previousIndex, index, i);
}
logger.info(route + routingManager.indexToNode(index));
logger.info("Distance of the route: " + routeDistance + "m");
totalDistance += routeDistance;
}
logger.info("Total distance of all routes: " + totalDistance + "m");
}
// [END solution_callback_printer]
// [START solution_callback]
static class SolutionCallback implements Runnable {
public final long[] objectives;
private final RoutingIndexManager routingManager;
private final RoutingModel routingModel;
private final int maxSolution;
private int counter;
public SolutionCallback(
final RoutingIndexManager manager, final RoutingModel routing, int limit) {
routingManager = manager;
routingModel = routing;
maxSolution = limit;
counter = 0;
objectives = new long[maxSolution];
}
@Override
public void run() {
long objective = routingModel.costVar().value();
if (counter == 0 || objective < objectives[counter - 1]) {
objectives[counter] = objective;
printSolution(routingManager, routingModel);
counter++;
}
if (counter >= maxSolution) {
routingModel.solver().finishCurrentSearch();
}
}
};
// [END solution_callback]
public static void main(String[] args) {
Loader.loadNativeLibraries();
// Instantiate the data problem.
// [START data]
final DataModel data = new DataModel();
// [END data]
// Create Routing Index Manager
// [START index_manager]
final RoutingIndexManager routingManager =
new RoutingIndexManager(data.distanceMatrix.length, data.vehicleNumber, data.depot);
// [END index_manager]
// Create Routing Model.
// [START routing_model]
final RoutingModel routingModel = new RoutingModel(routingManager);
// [END routing_model]
// Create and register a transit callback.
// [START transit_callback]
final int transitCallbackIndex =
routingModel.registerTransitCallback((long fromIndex, long toIndex) -> {
// Convert from routing variable Index to user NodeIndex.
int fromNode = routingManager.indexToNode(fromIndex);
int toNode = routingManager.indexToNode(toIndex);
return data.distanceMatrix[fromNode][toNode];
});
// [END transit_callback]
// Define cost of each arc.
// [START arc_cost]
routingModel.setArcCostEvaluatorOfAllVehicles(transitCallbackIndex);
// [END arc_cost]
// Add Distance constraint.
// [START distance_constraint]
routingModel.addDimension(transitCallbackIndex,
0, // no slack
3000, // vehicle maximum travel distance
true, // start cumul to zero
"Distance");
RoutingDimension distanceDimension = routingModel.getMutableDimension("Distance");
distanceDimension.setGlobalSpanCostCoefficient(100);
// [END distance_constraint]
// Attach a solution callback.
// [START attach_callback]
final SolutionCallback solutionCallback =
new SolutionCallback(routingManager, routingModel, 15);
routingModel.addAtSolutionCallback(solutionCallback);
// [END attach_callback]
// Setting first solution heuristic.
// [START parameters]
RoutingSearchParameters searchParameters =
main.defaultRoutingSearchParameters()
.toBuilder()
.setFirstSolutionStrategy(FirstSolutionStrategy.Value.PATH_CHEAPEST_ARC)
.setLocalSearchMetaheuristic(LocalSearchMetaheuristic.Value.GUIDED_LOCAL_SEARCH)
.setTimeLimit(Duration.newBuilder().setSeconds(5).build())
.build();
// [END parameters]
// Solve the problem.
// [START solve]
Assignment solution = routingModel.solveWithParameters(searchParameters);
// [END solve]
// Print solution on console.
// [START print_solution]
if (solution != null) {
logger.info(
"Best objective: " + solutionCallback.objectives[solutionCallback.objectives.length - 1]);
} else {
logger.info("No solution found !");
}
// [END print_solution]
}
private VrpSolutionCallback() {}
}
// [END program]