/* ==========================================
* JGraphT : a free Java graph-theory library
* ==========================================
*
* Project Info: http://jgrapht.sourceforge.net/
* Project Creator: Barak Naveh (http://sourceforge.net/users/barak_naveh)
*
* (C) Copyright 2003-2008, by Barak Naveh and Contributors.
*
* This library 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 library 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 library; if not, write to the Free Software Foundation,
* Inc.,
* 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
*/
/* ----------------
* HamiltonianCycle.java
* ----------------
* (C) Copyright 2003-2008, by Barak Naveh and Contributors.
*
* Original Author: Andrew Newell
* Contributor(s): -
*
* $Id: HamiltonianCycle.java 681 2009-05-25 06:17:31Z perfecthash $
*
* Changes
* -------
* 17-Feb-2008 : Initial revision (AN);
*
*/
package edu.nd.nina.alg;
import java.util.LinkedList;
import java.util.List;
import edu.nd.nina.graph.SimpleWeightedGraph;
/**
* This class will deal with finding the optimal or approximately optimal
* minimum tour (hamiltonian cycle) or commonly known as the <a
* href="http://mathworld.wolfram.com/TravelingSalesmanProblem.html">Traveling
* Salesman Problem</a>.
*
* @author Andrew Newell
*/
public class HamiltonianCycle
{
//~ Methods ----------------------------------------------------------------
/**
* This method will return an approximate minimal traveling salesman tour
* (hamiltonian cycle). This algorithm requires that the graph be complete
* and the triangle inequality exists (if x,y,z are vertices then
* d(x,y)+d(y,z)<d(x,z) for all x,y,z) then this algorithm will guarantee a
* hamiltonian cycle such that the total weight of the cycle is less than or
* equal to double the total weight of the optimal hamiltonian cycle. The
* optimal solution is NP-complete, so this is a decent approximation that
* runs in polynomial time.
*
* @param <V>
* @param <E>
* @param g is the graph to find the optimal tour for.
*
* @return The optimal tour as a list of vertices.
*/
public static <V, E> List<V> getApproximateOptimalForCompleteGraph(
SimpleWeightedGraph<V, E> g)
{
List<V> vertices = new LinkedList<V>(g.vertexSet());
// If the graph is not complete then return null since this algorithm
// requires the graph be complete
if ((vertices.size() * (vertices.size() - 1) / 2)
!= g.edgeSet().size())
{
return null;
}
List<V> tour = new LinkedList<V>();
// Each iteration a new vertex will be added to the tour until all
// vertices have been added
while (tour.size() != g.vertexSet().size()) {
boolean firstEdge = true;
double minEdgeValue = 0;
int minVertexFound = 0;
int vertexConnectedTo = 0;
// A check will be made for the shortest edge to a vertex not within
// the tour and that new vertex will be added to the vertex
for (int i = 0; i < tour.size(); i++) {
V v = tour.get(i);
for (int j = 0; j < vertices.size(); j++) {
double weight =
g.getEdgeWeight(g.getEdge(v, vertices.get(j)));
if (firstEdge || (weight < minEdgeValue)) {
firstEdge = false;
minEdgeValue = weight;
minVertexFound = j;
vertexConnectedTo = i;
}
}
}
tour.add(vertexConnectedTo, vertices.get(minVertexFound));
vertices.remove(minVertexFound);
}
return tour;
}
}
// End HamiltonianCycle.java