#region License Information
/* HeuristicLab
* Copyright (C) 2002-2018 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 HeuristicLab.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
[Item("SymbolicDataAnalysisBottomUpDiversityAnalyzer", "A diversity analyzer based on the bottom-up distance between trees.")]
[StorableClass]
public class SymbolicDataAnalysisBottomUpDiversityAnalyzer : PopulationSimilarityAnalyzer {
private const string MatchConstantValuesParameterName = "MatchConstantValues";
private const string MatchVariableWeightsParameterName = "MatchVariableWeights";
public IFixedValueParameter MatchConstantValuesParameter {
get { return (IFixedValueParameter)Parameters[MatchConstantValuesParameterName]; }
}
public IFixedValueParameter MatchVariableWeightsParameter {
get { return (IFixedValueParameter)Parameters[MatchVariableWeightsParameterName]; }
}
public bool MatchConstantValues {
get { return MatchConstantValuesParameter.Value.Value; }
set {
MatchConstantValuesParameter.Value.Value = value;
}
}
public bool MatchVariableWeights {
get { return MatchVariableWeightsParameter.Value.Value; }
set {
MatchVariableWeightsParameter.Value.Value = value;
}
}
[StorableConstructor]
protected SymbolicDataAnalysisBottomUpDiversityAnalyzer(bool deserializing) : base(deserializing) { }
protected SymbolicDataAnalysisBottomUpDiversityAnalyzer(SymbolicDataAnalysisBottomUpDiversityAnalyzer original, Cloner cloner)
: base(original, cloner) {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new SymbolicDataAnalysisBottomUpDiversityAnalyzer(this, cloner);
}
public SymbolicDataAnalysisBottomUpDiversityAnalyzer(SymbolicExpressionTreeBottomUpSimilarityCalculator similarityCalculator)
: base(new[] { similarityCalculator }) {
DiversityResultName = "Genotypic Diversity";
UpdateCounterParameter.ActualName = "GenotypicDiversityAnalyzerUpdateCounter";
Parameters.Add(new FixedValueParameter(MatchConstantValuesParameterName, new BoolValue(true)));
Parameters.Add(new FixedValueParameter(MatchVariableWeightsParameterName, new BoolValue(true)));
}
public override IOperation Apply() {
var bus = (SymbolicExpressionTreeBottomUpSimilarityCalculator)SimilarityCalculatorParameter.Value;
bus.MatchConstantValues = MatchConstantValues;
bus.MatchVariableWeights = MatchVariableWeights;
return base.Apply();
}
}
}