#region License Information /* HeuristicLab * Copyright (C) 2002-2018 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.PermutationEncoding; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.PTSP { [Item("PTSP Analytical Inversion Move Evaluator", "Evaluates an inversion move (2-opt) by a full solution evaluation.")] [StorableClass] public class PTSPAnalyticalInversionMoveEvaluator : AnalyticalPTSPMoveEvaluator, IPermutationInversionMoveOperator { public ILookupParameter InversionMoveParameter { get { return (ILookupParameter)Parameters["InversionMove"]; } } [StorableConstructor] protected PTSPAnalyticalInversionMoveEvaluator(bool deserializing) : base(deserializing) { } protected PTSPAnalyticalInversionMoveEvaluator(PTSPAnalyticalInversionMoveEvaluator original, Cloner cloner) : base(original, cloner) { } public PTSPAnalyticalInversionMoveEvaluator() : base() { Parameters.Add(new LookupParameter("InversionMove", "The move to evaluate.")); } public override IDeepCloneable Clone(Cloner cloner) { return new PTSPAnalyticalInversionMoveEvaluator(this, cloner); } public static double EvaluateMove(Permutation tour, InversionMove move, Func distance, DoubleArray probabilities) { var afterMove = (Permutation)tour.Clone(); InversionManipulator.Apply(afterMove, move.Index1, move.Index2); return AnalyticalProbabilisticTravelingSalesmanProblem.Evaluate(afterMove, distance, probabilities); } protected override double EvaluateMove(Permutation tour, Func distance, DoubleArray probabilities) { return EvaluateMove(tour, InversionMoveParameter.ActualValue, distance, probabilities); } } }