#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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);
}
}
}