#region License Information
/* HeuristicLab
* Copyright (C) 2002-2013 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.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
[Item("AfterMutationCombinedOperator", "An operator that contains all operators that need to be executed after mutation.")]
[StorableClass]
public class AfterMutationCombinedOperator : CombinedOperator {
public ILookupParameter EvaluatorParameter {
get { return ((LookupParameter)Parameters["Evaluator"]); }
}
public IValueParameter SimilarityCalculatorParameter {
get { return (IValueParameter)Parameters["SimilarityCalculator"]; }
}
public ValueParameter UpdateIntervalParameter {
get { return (ValueParameter)Parameters["UpdateInterval"]; }
}
public ILookupParameter GenerationsParameter {
get { return (ILookupParameter)Parameters["Generations"]; }
}
[Storable]
protected MutationPerformanceAnalyzer mAnalyzer;
[Storable]
protected VariableRemover varRemover;
[Storable]
protected IEvaluator evaluatorClone;
[Storable]
protected SolutionToPopulationAnalyzer solToPopAnalyzer;
[StorableConstructor]
protected AfterMutationCombinedOperator(bool deserializing) : base(deserializing) { }
protected AfterMutationCombinedOperator(AfterMutationCombinedOperator original, Cloner cloner)
: base(original, cloner) {
mAnalyzer = original.mAnalyzer != null ? (MutationPerformanceAnalyzer)original.mAnalyzer.Clone(cloner) : null;
varRemover = original.varRemover != null ? (VariableRemover)original.varRemover.Clone(cloner) : null;
solToPopAnalyzer = original.solToPopAnalyzer != null ? (SolutionToPopulationAnalyzer)original.solToPopAnalyzer.Clone(cloner) : null;
}
public AfterMutationCombinedOperator()
: base() {
Parameters.Add(new LookupParameter("Evaluator", "The operator which is used to evaluate new solutions."));
Parameters.Add(new ValueParameter("SimilarityCalculator"));
Parameters.Add(new ValueParameter("UpdateInterval", "The interval in which the operator should be applied.", new IntValue(2)));
Parameters.Add(new LookupParameter("Generations", "Nr of generations."));
SimilarityCalculatorParameter.ValueChanged += new System.EventHandler(SimilarityCalculatorParameter_ValueChanged);
}
protected virtual void SimilarityCalculatorParameter_ValueChanged(object sender, System.EventArgs e) {
SimilarityCalculatorParameter.Value.QualityVariableName = "TSPTourLength";
SimilarityCalculatorParameter.Value.SolutionVariableName = "TSPTour";
}
public override IDeepCloneable Clone(Cloner cloner) {
return new AfterMutationCombinedOperator(this, cloner);
}
public override void InitializeOperators() {
evaluatorClone = (IEvaluator)EvaluatorParameter.ActualValue.Clone();
((ILookupParameter)evaluatorClone.Parameters["Quality"]).ActualName = "TSPTourLengthM";
mAnalyzer = new MutationPerformanceAnalyzer();
varRemover = new VariableRemover();
solToPopAnalyzer = new SolutionToPopulationAnalyzer();
solToPopAnalyzer.ChartPostfixParameter.Value = new Data.StringValue("after Mutation");
Operators.Add(evaluatorClone);
Operators.Add(mAnalyzer);
Operators.Add(varRemover);
Operators.Add(solToPopAnalyzer);
}
public override IOperation Apply() {
if (GenerationsParameter.ActualValue.Value % UpdateIntervalParameter.Value.Value == 0) {
return base.Apply();
} else {
return base.BaseApply();
}
}
}
}