#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 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.RealVectorEncoding;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.TestFunctions {
///
/// An operator that performs similarity calculation between two test functions solutions.
///
///
/// The operator calculates the similarity based on the euclidean distance of the two solutions in n-dimensional space.
///
[Item("SingleObjectiveTestFunctionSimilarityCalculator", "An operator that performs similarity calculation between two test functions solutions. The operator calculates the similarity based on the euclidean distance of the two solutions in n-dimensional space.")]
[StorableClass]
public sealed class SingleObjectiveTestFunctionSimilarityCalculator : SingleObjectiveSolutionSimilarityCalculator {
#region Properties
[Storable]
public DoubleMatrix Bounds { get; set; }
#endregion
[StorableConstructor]
private SingleObjectiveTestFunctionSimilarityCalculator(bool deserializing) : base(deserializing) { }
private SingleObjectiveTestFunctionSimilarityCalculator(SingleObjectiveTestFunctionSimilarityCalculator original, Cloner cloner)
: base(original, cloner) {
this.Bounds = cloner.Clone(original.Bounds);
}
public SingleObjectiveTestFunctionSimilarityCalculator() : base() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new SingleObjectiveTestFunctionSimilarityCalculator(this, cloner);
}
public static double CalculateSimilarity(RealVector left, RealVector right, DoubleMatrix bounds) {
if (left == null || right == null)
throw new ArgumentException("Cannot calculate similarity because one of the provided solutions or both are null.");
if (bounds == null)
throw new ArgumentException("Cannot calculate similarity because no bounds were provided.");
if (left.Length != right.Length)
throw new ArgumentException("Cannot calculate similarity because the provided solutions have different lengths.");
if (left == right) return 1.0;
double maxSum = 0.0;
for (int i = 0; i < left.Length; i++)
maxSum += Math.Pow(bounds[0, 0] - bounds[0, 1], 2);
double maxDistance = Math.Sqrt(maxSum) / left.Length;
double sum = 0.0;
for (int i = 0; i < left.Length; i++)
sum += Math.Pow(left[i] - right[i], 2);
double distance = Math.Sqrt(sum) / left.Length;
return 1.0 - distance / maxDistance;
}
public override double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution) {
var sol1 = leftSolution.Variables[SolutionVariableName].Value as RealVector;
var sol2 = rightSolution.Variables[SolutionVariableName].Value as RealVector;
return CalculateSimilarity(sol1, sol2, Bounds);
}
}
}