/*
* Encog(tm) Examples v2.4
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
*
* Copyright 2008-2010 by Heaton Research Inc.
*
* Released under the LGPL.
*
* This is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2.1 of
* the License, or (at your option) any later version.
*
* This software is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with this software; if not, write to the Free
* Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
* 02110-1301 USA, or see the FSF site: http://www.fsf.org.
*
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* For information on Heaton Research trademarks, visit:
*
* http://www.heatonresearch.com/copyright.html
*/
package org.encog.examples.nonlinear.tsp.anneal;
import org.encog.examples.nonlinear.tsp.City;
import org.encog.neural.NeuralNetworkError;
import org.encog.solve.anneal.SimulatedAnnealing;
/**
* TSPSimulatedAnnealing: Implementation of the simulated annealing
* algorithm that trys to solve the traveling salesman problem.
*/
public class TSPSimulatedAnnealing extends SimulatedAnnealing<Integer> {
protected City cities[];
protected Integer path[];
/**
* The constructor.
*
* @param network
* The neural network that is to be trained.
*/
public TSPSimulatedAnnealing(final City cities[], final double startTemp,
final double stopTemp, final int cycles) {
this.setTemperature(startTemp);
setStartTemperature(startTemp);
setStopTemperature(stopTemp);
setCycles(cycles);
this.cities = cities;
this.path = new Integer[this.cities.length];
}
@Override
public double calculateScore() throws NeuralNetworkError {
double cost = 0.0;
for (int i = 0; i < this.cities.length - 1; i++) {
final double dist = this.cities[this.path[i]]
.proximity(this.cities[this.path[i + 1]]);
cost += dist;
}
return cost;
}
/**
* Called to get the distance between two cities.
*
* @param i
* The first city
* @param j
* The second city
* @return The distance between the two cities.
*/
public double distance(final int i, final int j) {
final int c1 = this.path[i % this.path.length];
final int c2 = this.path[j % this.path.length];
return this.cities[c1].proximity(this.cities[c2]);
}
@Override
public Integer[] getArray() {
return this.path;
}
@Override
public void putArray(final Integer[] array) {
this.path = array;
}
@Override
public void randomize() {
final int length = this.path.length;
// make adjustments to city order(annealing)
for (int i = 0; i < this.getTemperature(); i++) {
int index1 = (int) Math.floor(length * Math.random());
int index2 = (int) Math.floor(length * Math.random());
final double d = distance(index1, index1 + 1) + distance(index2, index2 + 1)
- distance(index1, index2) - distance(index1 + 1, index2 + 1);
if (d>0) {
// sort index1 and index2 if needed
if (index2 < index1) {
final int temp = index1;
index1 = index2;
index2 = temp;
}
for (; index2 > index1; index2--) {
final int temp = this.path[index1 + 1];
this.path[index1 + 1] = this.path[index2];
this.path[index2] = temp;
index1++;
}
}
}
}
@Override
public Integer[] getArrayCopy() {
Integer result[] = new Integer[this.path.length];
System.arraycopy(path, 0, result, 0, path.length);
return result;
}
}