#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.Collections.Generic;
using HeuristicLab.Core;
namespace HeuristicLab.Optimization {
///
/// An interface which represents an operator for similarity calculation.
///
public interface ISolutionSimilarityCalculator : IItem, IEqualityComparer {
string SolutionVariableName { get; set; }
string QualityVariableName { get; set; }
///
/// Calculates the similarity of two solutions.
///
/// The first scope that contains a solution.
/// The second scope that contains a solution.
/// A double between zero and one. Zero means the two solutions differ in every aspect, one indicates that the two solutions are the same.
double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution);
///
/// Calculates the similarity of solutions in one scope.
///
/// The scope that contains solutions.
/// A similarity matrix. Zero means the two solutions differ in every aspect, one indicates that the two solutions are the same.
double[][] CalculateSolutionCrowdSimilarity(IScope solutionCrowd);
///
/// Calculates the similarity of solutions in two scopes.
///
/// The first scope that contains solutions.
/// The second scope that contains solutions.
/// A similarity matrix. Zero means the two solutions differ in every aspect, one indicates that the two solutions are the same.
double[][] CalculateSolutionCrowdSimilarity(IScope leftSolutionCrowd, IScope rightSolutionCrowd);
}
}