#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.Linq;
using HeuristicLab.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Algorithms.ALPS {
// Based on QualityDistributionAnalyzer
[Item("AgeDistributionAnalyzer", "Analyzes the distribution of the ages in that it adds a Histogram of them into the result collection.")]
[StorableClass]
public sealed class AgeDistributionAnalyzer : SingleSuccessorOperator, IAnalyzer, IIterationBasedOperator {
#region Parameter Properties
public IScopeTreeLookupParameter AgeParameter {
get { return (IScopeTreeLookupParameter)Parameters["Age"]; }
}
public IValueLookupParameter ResultsParameter {
get { return (IValueLookupParameter)Parameters["Results"]; }
}
private IValueParameter HistogramNameParameter {
get { return (IValueParameter)Parameters["HistogramName"]; }
}
private IValueParameter StoreHistoryParameter {
get { return (IValueParameter)Parameters["StoreHistory"]; }
}
public ILookupParameter IterationsParameter {
get { return (ILookupParameter)Parameters["Iterations"]; }
}
public IValueLookupParameter MaximumIterationsParameter {
get { return (IValueLookupParameter)Parameters["MaximumIterations"]; }
}
#endregion
public bool EnabledByDefault { get { return false; } }
public string HistogramName {
get { return HistogramNameParameter.Value.Value; }
set { HistogramNameParameter.Value.Value = value; }
}
public bool StoreHistory {
get { return StoreHistoryParameter.Value.Value; }
set { StoreHistoryParameter.Value.Value = value; }
}
[StorableConstructor]
private AgeDistributionAnalyzer(bool deserializing)
: base(deserializing) { }
private AgeDistributionAnalyzer(AgeDistributionAnalyzer original, Cloner cloner)
: base(original, cloner) { }
public override IDeepCloneable Clone(Cloner cloner) {
return new AgeDistributionAnalyzer(this, cloner);
}
public AgeDistributionAnalyzer()
: base() {
Parameters.Add(new ScopeTreeLookupParameter("Age", "The value which represents the age of a solution."));
Parameters.Add(new ValueLookupParameter("Results", "The results collection where the analysis values should be stored."));
Parameters.Add(new FixedValueParameter("HistogramName", "The name of the histogram that gets injected in to the results collection.", new StringValue("Age Distribution")));
Parameters.Add(new FixedValueParameter("StoreHistory", "True if the history should be stored in addition to the current distribution", new BoolValue(false)));
Parameters.Add(new LookupParameter("Iterations", "Optional: A value indicating the current iteration."));
Parameters.Add(new ValueLookupParameter("MaximumIterations", "Unused", new IntValue(-1)));
AgeParameter.Hidden = true;
ResultsParameter.Hidden = true;
IterationsParameter.Hidden = true;
MaximumIterationsParameter.Hidden = true;
}
public override IOperation Apply() {
DataTable ageDistribution = null;
ResultCollection results = ResultsParameter.ActualValue;
string description = "Shows the age distributions in the current population.";
if (results.ContainsKey(HistogramName)) {
ageDistribution = results[HistogramName].Value as DataTable;
} else {
ageDistribution = new DataTable("Population Age Distribution", description);
ageDistribution.VisualProperties.XAxisTitle = AgeParameter.ActualName;
ageDistribution.VisualProperties.YAxisTitle = "Frequency";
results.Add(new Result(HistogramName, description, ageDistribution));
}
DataRow row;
if (!ageDistribution.Rows.TryGetValue("AgeDistribution", out row)) {
row = new DataRow("AgeDistribution");
row.VisualProperties.ChartType = DataRowVisualProperties.DataRowChartType.Histogram;
ageDistribution.Rows.Add(row);
}
var ages = AgeParameter.ActualValue;
row.Values.Replace(ages.Select(x => x.Value));
if (StoreHistory) {
string historyResultName = HistogramName + " History";
DataTableHistory adHistory = null;
if (results.ContainsKey(historyResultName)) {
adHistory = results[historyResultName].Value as DataTableHistory;
} else {
adHistory = new DataTableHistory();
results.Add(new Result(historyResultName, adHistory));
}
DataTable table = (DataTable)ageDistribution.Clone();
IntValue iteration = IterationsParameter.ActualValue;
if (iteration != null) {
string iterationName = IterationsParameter.ActualName;
if (iterationName.EndsWith("s")) iterationName = iterationName.Remove(iterationName.Length - 1);
string appendix = " at " + iterationName + " " + iteration.Value.ToString();
table.Name += appendix;
table.Rows["AgeDistribution"].VisualProperties.DisplayName += appendix;
}
adHistory.Add(table);
}
return base.Apply();
}
}
}