source: branches/FitnessLandscapeAnalysis/HeuristicLab.Analysis.FitnessLandscape/DistanceCalculators/RealVectorDistanceCalculator.cs @ 12575

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Core;
using HeuristicLab.Common.Resources;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Common;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using System.Drawing;
using HeuristicLab.Encodings.RealVectorEncoding;

namespace HeuristicLab.Analysis.FitnessLandscape.DistanceCalculators {

  [Item("RealVectorDistanceCalculator", "Calculates the Euclidian distance of two real vectors")]
  [StorableClass]
  public class RealVectorDistanceCalculator: NamedItem, IItemDistanceCalculator {

    #region Properties

    public override bool CanChangeName { get { return false; } }
    public override bool CanChangeDescription { get { return false; } }
    public static new Image StaticItemImage { get { return VSImageLibrary.Function; } }

    #endregion

    #region Construction & Cloning

    [StorableConstructor]
    protected RealVectorDistanceCalculator(bool deserializing) : base(deserializing) { }

    protected RealVectorDistanceCalculator(RealVectorDistanceCalculator original, Cloner cloner)
      : base(original, cloner) {
    }

    public RealVectorDistanceCalculator() {
      name = ItemName;
      description = ItemDescription;
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new RealVectorDistanceCalculator(this, cloner);
    }

    #endregion

    #region IItemDistanceCalculator Members

    public Type ItemType {
      get { return typeof(BinaryVector); }
    }

    public double Distance(IItem x, IItem y) {
      RealVector a = (RealVector )x;
      RealVector b = (RealVector )y;
      if (a.Length != b.Length)
        throw new InvalidOperationException("Cannot compare vectors of different lengths");
      double sqrSum = 0;
      for (int i = 0; i < a.Length; i++) {
        sqrSum = Sqr(a[i] - b[i]);
      }
      return Math.Sqrt(sqrSum);
    }

    private static double Sqr(double x) { return x*x; }

    #endregion
  }
}