Files
ortools-clone/examples/com/google/ortools/samples/Tsp.java

137 lines
4.1 KiB
Java

//
// Copyright 2012 Google
//
// 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.
package com.google.ortools.samples;
import java.io.*;
import java.util.*;
import java.text.*;
import com.google.ortools.constraintsolver.Assignment;
import com.google.ortools.constraintsolver.NodeEvaluator2;
import com.google.ortools.constraintsolver.RoutingModel;
import com.google.ortools.constraintsolver.FirstSolutionStrategy;
import com.google.ortools.constraintsolver.RoutingSearchParameters;
class Tsp {
static {
System.loadLibrary("jniortools");
}
static class RandomManhattan extends NodeEvaluator2 {
public RandomManhattan(int size, int seed) {
this.xs = new int[size];
this.ys = new int[size];
Random generator = new Random(seed);
for (int i = 0; i < size; ++i) {
xs[i] = generator.nextInt(1000);
ys[i] = generator.nextInt(1000);
}
}
@Override
public long run(int firstIndex, int secondIndex) {
return Math.abs(xs[firstIndex] - xs[secondIndex]) +
Math.abs(ys[firstIndex] - ys[secondIndex]);
}
private int[] xs;
private int[] ys;
}
static class ConstantCallback extends NodeEvaluator2 {
@Override
public long run(int firstIndex, int secondIndex) {
return 1;
}
}
static void solve(int size, int forbidden, int seed)
{
RoutingModel routing = new RoutingModel(size, 1);
// Setting the cost function.
// Put a permanent callback to the distance accessor here. The callback
// has the following signature: ResultCallback2<int64, int64, int64>.
// The two arguments are the from and to node inidices.
RandomManhattan distances = new RandomManhattan(size, seed);
routing.setCost(distances);
// Forbid node connections (randomly).
Random randomizer = new Random();
long forbidden_connections = 0;
while (forbidden_connections < forbidden) {
long from = randomizer.nextInt(size - 1);
long to = randomizer.nextInt(size - 1) + 1;
if (routing.nextVar(from).contains(to)) {
System.out.println("Forbidding connection " + from + " -> " + to);
routing.nextVar(from).removeValue(to);
++forbidden_connections;
}
}
// Add dummy dimension to test API.
routing.addDimension(
new ConstantCallback(),
size + 1,
size + 1,
true,
"dummy");
// Solve, returns a solution if any (owned by RoutingModel).
RoutingSearchParameters search_parameters =
RoutingSearchParameters.newBuilder()
.mergeFrom(RoutingModel.defaultSearchParameters())
.setFirstSolutionStrategy(FirstSolutionStrategy.Value.PATH_CHEAPEST_ARC)
.build();
Assignment solution = routing.solveWithParameters(search_parameters);
if (solution != null) {
// Solution cost.
System.out.println("Cost = " + solution.objectiveValue());
// Inspect solution.
// Only one route here; otherwise iterate from 0 to routing.vehicles() - 1
int route_number = 0;
for (long node = routing.start(route_number);
!routing.isEnd(node);
node = solution.value(routing.nextVar(node))) {
System.out.print("" + node + " -> ");
}
System.out.println("0");
}
}
public static void main(String[] args) throws Exception {
int size = 10;
if (args.length > 0) {
size = Integer.parseInt(args[0]);
}
int forbidden = 0;
if (args.length > 1) {
forbidden = Integer.parseInt(args[1]);
}
int seed = 0;
if (args.length > 2) {
seed = Integer.parseInt(args[2]);
}
solve(size, forbidden, seed);
}
}