source: branches/Breadcrumbs/HeuristicLab.Problems.TravelingSalesman/3.3/MoveEvaluators/TwoOpt/TSPInversionMoveEuclideanPathEvaluator.cs @ 10041

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2013 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
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 * (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 <http://www.gnu.org/licenses/>.
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#endregion

using System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.TravelingSalesman {
  /// <summary>
  /// An operator to evaluate 2-opt moves.
  /// </summary>
  [Item("TSPInversionMoveEuclideanPathEvaluator", "Operator for evaluating an inversion move (2-opt) based on euclidean distances.")]
  [StorableClass]
  public class TSPInversionMoveEuclideanPathEvaluator : TSPInversionMovePathEvaluator {
    [StorableConstructor]
    protected TSPInversionMoveEuclideanPathEvaluator(bool deserializing) : base(deserializing) { }
    protected TSPInversionMoveEuclideanPathEvaluator(TSPInversionMoveEuclideanPathEvaluator original, Cloner cloner) : base(original, cloner) { }
    public TSPInversionMoveEuclideanPathEvaluator() : base() { }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new TSPInversionMoveEuclideanPathEvaluator(this, cloner);
    }
    
    public override Type EvaluatorType {
      get { return typeof(TSPEuclideanPathEvaluator); }
    }

    protected override double CalculateDistance(double x1, double y1, double x2, double y2) {
      return Math.Sqrt((x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2));
    }
  }
}