#region License Information
/* HeuristicLab
* Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Text;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Permutation;
namespace HeuristicLab.Routing.TSP {
///
/// Evaluates the TSP path by using values in the distance matrix.
///
public class DistanceMatrixPathTSPEvaluator : SingleObjectiveEvaluatorBase {
///
public override string Description {
get { return @"TODO\r\nOperator description still missing ..."; }
}
///
/// Initializes a new instance of with two variable
/// infos (Permutation, DistanceMatrix).
///
public DistanceMatrixPathTSPEvaluator()
: base() {
AddVariableInfo(new VariableInfo("Permutation", "Permutation representing a TSP solution in path encoding", typeof(Permutation.Permutation), VariableKind.In));
AddVariableInfo(new VariableInfo("DistanceMatrix", "Distance matrix containing all distances between cities", typeof(DoubleMatrixData), VariableKind.In));
}
///
/// Calculates the length of the path in the given by taking the
/// values of the distance matrix.
///
/// The current scope with the permutation and the distance matrix.
/// The calculated length.
protected override double Evaluate(IScope scope) {
double[,] distanceMatrix = GetVariableValue("DistanceMatrix", scope, true).Data;
int[] perm = GetVariableValue("Permutation", scope, false).Data;
double length = 0;
for (int i = 0; i < perm.Length - 1; i++)
length += distanceMatrix[perm[i], perm[i + 1]];
length += distanceMatrix[perm[perm.Length - 1], perm[0]];
return length;
}
}
}