#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 { public class DistanceMatrixPathTSPEvaluator : SingleObjectiveEvaluatorBase { public override string Description { get { return @"TODO\r\nOperator description still missing ..."; } } 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)); } 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; } } }