source: branches/DataAnalysis.PopulationDiversityAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Analyzers/SymbolicRegressionPopulationDiversityAnalyzer.cs @ 4949

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2010 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using HeuristicLab.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
using System.Collections.Generic;
using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols;

namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic.Analyzers {
  /// <summary>
  /// Base class for population diversity analyzers for symbolic regression.
  /// </summary>
  [Item("SymbolicRegressionPopulationDiversityAnalyzer", "Base class for population diversity analyzers for symbolic regression.")]
  [StorableClass]
  public abstract class SymbolicRegressionPopulationDiversityAnalyzer : PopulationDiversityAnalyzer<SymbolicExpressionTree>, ISymbolicRegressionAnalyzer {

    private const string ProblemDataParameterName = "ProblemData";

    public IValueLookupParameter<DataAnalysisProblemData> ProblemDataParameter {
      get { return (IValueLookupParameter<DataAnalysisProblemData>)Parameters[ProblemDataParameterName]; }
    }
    public DataAnalysisProblemData ProblemData {
      get { return ProblemDataParameter.ActualValue; }
    }

    #region ISymbolicRegressionAnalyzer Members

    public ScopeTreeLookupParameter<SymbolicExpressionTree> SymbolicExpressionTreeParameter {
      get { return base.SolutionParameter; }
    }

    public new ILookupParameter<ResultCollection> ResultsParameter {
      get { return base.ResultsParameter; }
    }

    #endregion

    [StorableConstructor]
    protected SymbolicRegressionPopulationDiversityAnalyzer(bool deserializing) : base(deserializing) { }
    protected SymbolicRegressionPopulationDiversityAnalyzer(SymbolicRegressionPopulationDiversityAnalyzer original, Cloner cloner) : base(original, cloner) { }
    public SymbolicRegressionPopulationDiversityAnalyzer()
      : base() {
      Parameters.Add(new ValueLookupParameter<DataAnalysisProblemData>(ProblemDataParameterName, "The problem data for which the symbolic expression tree is a solution."));
    }

  }
}