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ortools-clone/examples/com/google/ortools/samples/LinearAssignmentAPI.java
lperron@google.com 04e7539989 big bang on java swig
2014-06-11 22:28:04 +00:00

65 lines
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Java

// Copyright 2010-2012 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 com.google.ortools.graph.ForwardEbertLinearSumAssignment;
import com.google.ortools.graph.ForwardStarGraph;
/**
* Test assignment on a 4x4 matrix. Example taken from
* http://www.ee.oulu.fi/~mpa/matreng/eem1_2-1.htm with kCost[0][1]
* modified so the optimum solution is unique.
*
*/
public class LinearAssignmentAPI {
static {
System.loadLibrary("jniortools");
}
private static void runAssignmentOn4x4Matrix() {
final int numSources = 4;
final int numTargets = 4;
final int[][] cost = {{ 90, 76, 75, 80 },
{ 35, 85, 55, 65 },
{ 125, 95, 90, 105 },
{ 45, 110, 95, 115 }};
final int expectedCost = cost[0][3] + cost[1][2] + cost[2][1] + cost[3][0];
ForwardStarGraph graph = new ForwardStarGraph(numSources + numTargets,
numSources * numTargets);
ForwardEbertLinearSumAssignment assignment =
new ForwardEbertLinearSumAssignment(graph, numSources);
for (int source = 0; source < numSources; ++source) {
for (int target = 0; target < numTargets; ++target) {
final int arc = graph.addArc(source, numSources + target);
assignment.setArcCost(arc, cost[source][target]);
}
}
if (assignment.computeAssignment()) {
final long totalCost = assignment.getCost();
System.out.println("total cost = " + totalCost + "/" + expectedCost);
} else {
System.out.println("No solution found");
}
}
public static void main(String[] args) throws Exception {
LinearAssignmentAPI.runAssignmentOn4x4Matrix();
}
}