Index: branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers-3.3.csproj
===================================================================
--- branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers-3.3.csproj	(revision 8350)
+++ branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers-3.3.csproj	(revision 8352)
@@ -95,4 +95,5 @@
   </ItemGroup>
   <ItemGroup>
+    <Compile Include="MutationPerformanceAnalyzer.cs" />
     <Compile Include="CrossoverPerformanceAnalyzer.cs" />
     <Compile Include="Plugin.cs" />
Index: branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/MutationPerformanceAnalyzer.cs
===================================================================
--- branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/MutationPerformanceAnalyzer.cs	(revision 8352)
+++ branches/HeuristicLab.Analysis.AlgorithmBehavior/HeuristicLab.Analysis.AlgorithmBehavior.Analyzers/3.3/MutationPerformanceAnalyzer.cs	(revision 8352)
@@ -0,0 +1,144 @@
+﻿#region License Information
+/* HeuristicLab
+ * Copyright (C) 2002-2012 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.Collections.Generic;
+using System.Linq;
+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.Analysis.AlgorithmBehavior.Analyzers {
+  [Item("MutationPerformanceAnalyzer", "An operator that analyzes the performance of mutation.")]
+  [StorableClass]
+  public class MutationPerformanceAnalyzer : SingleSuccessorOperator, IAnalyzer {
+    private const string ResultsParameterName = "Results";
+    private const string GenerationsParameterName = "Generations";
+
+    #region IAnalyzer Members
+    public bool EnabledByDefault {
+      get { return true; }
+    }
+    #endregion
+
+
+    #region Parameter properties
+    public ILookupParameter<ResultCollection> ResultsParameter {
+      get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
+    }
+    public ILookupParameter<IntValue> GenerationsParameter {
+      get { return (ILookupParameter<IntValue>)Parameters[GenerationsParameterName]; }
+    }
+    public ILookupParameter<DoubleValue> QualityAfterCrossoverParameter {
+      get { return (ILookupParameter<DoubleValue>)Parameters["QualityAfterCrossover"]; }
+    }
+    public ILookupParameter<DoubleValue> QualityAfterMutationParameter {
+      get { return (ILookupParameter<DoubleValue>)Parameters["QualityAfterMutation"]; }
+    }
+    #endregion
+
+    #region Properties
+    public ResultCollection Results {
+      get { return ResultsParameter.ActualValue; }
+    }
+    #endregion
+
+    ScatterPlot plot;
+    DataRow dtRow;
+    int cnt = 0;
+
+    [StorableConstructor]
+    private MutationPerformanceAnalyzer(bool deserializing) : base(deserializing) { }
+    private MutationPerformanceAnalyzer(MutationPerformanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
+    public MutationPerformanceAnalyzer()
+      : base() {
+      Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
+      Parameters.Add(new LookupParameter<IntValue>(GenerationsParameterName, "Nr of generations."));
+
+      Parameters.Add(new LookupParameter<DoubleValue>("QualityAfterCrossover", "The evaluated quality of the child solution."));
+      QualityAfterCrossoverParameter.ActualName = "TSPTourLength";
+
+      Parameters.Add(new LookupParameter<DoubleValue>("QualityAfterMutation", "The evaluated quality of the child solution."));
+      QualityAfterMutationParameter.ActualName = "TSPTourLengthM";
+    }
+
+    public override IDeepCloneable Clone(Cloner cloner) {
+      return new MutationPerformanceAnalyzer(this, cloner);
+    }
+
+    public override IOperation Apply() {
+      Point2D<double> curPoint;
+      var qualityCX = QualityAfterCrossoverParameter.ActualValue.Value;
+      var qualityM = QualityAfterMutationParameter.ActualValue.Value;
+
+      curPoint = new Point2D<double>(cnt++, qualityCX - qualityM);
+
+      string curGenStr = GenerationsParameter.ActualValue.Value.ToString();
+      ScatterPlotDataRow row;
+
+      if (!Results.ContainsKey("Mutation Scatter Plot")) {
+        InitializePlot();
+        Results.Add(new Result("Mutation Scatter Plot", plot));
+        Results.Add(new Result("Mutation Scatter Plot History", new ScatterPlotHistory()));
+        cnt = 0;
+
+        DataTable dt = new DataTable("Average Mutatioin Performance");
+        dtRow = new DataRow("Average Mutation Performance per Generation");
+        dt.Rows.Add(dtRow);
+        Results.Add(new Result("Average Mutation Performance", dt));
+      }
+
+      if (!plot.Rows.ContainsKey(curGenStr)) {
+        if (GenerationsParameter.ActualValue.Value != 0) {
+          if (plot.Rows.ContainsKey((GenerationsParameter.ActualValue.Value - 1).ToString())) {
+            double avg = plot.Rows[(GenerationsParameter.ActualValue.Value - 1).ToString()].Points.Average(x => x.Y);
+            dtRow.Values.Add(avg);
+            ((ScatterPlotHistory)Results["Mutation Scatter Plot History"].Value).Add(plot);
+          }
+          InitializePlot();
+          Results["Mutation Scatter Plot"].Value = plot;
+          cnt = 0;
+        }
+
+        var points = new List<Point2D<double>>();
+        points.Add(curPoint);
+        row = new ScatterPlotDataRow(curGenStr, null, points);
+        row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
+        row.VisualProperties.PointSize = 5;
+        plot.Rows.Add(row);
+      } else {
+        plot.Rows[curGenStr].Points.Add(curPoint);
+      }
+
+      return base.Apply();
+    }
+
+    private void InitializePlot() {
+      plot = new ScatterPlot("Mutation Performance", null);
+      plot.VisualProperties.XAxisTitle = "Solution Index";
+      plot.VisualProperties.YAxisTitle = "Absolut Quality Difference";
+    }
+  }
+}
