Index: 3.4/Analyzers/MinAverageMaxSymbolicExpressionNeastedTreeSyzeAnalyzer.cs
===================================================================
--- 3.4/Analyzers/MinAverageMaxSymbolicExpressionNeastedTreeSyzeAnalyzer.cs	(nonexistent)
+++ 3.4/Analyzers/MinAverageMaxSymbolicExpressionNeastedTreeSyzeAnalyzer.cs	(working copy)
@@ -0,0 +1,95 @@
+
+#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 <http://www.gnu.org/licenses/>.
+ */
+#endregion
+
+using System;
+using HeuristicLab.Analysis;
+using HeuristicLab.Common;
+using HeuristicLab.Core;
+using HeuristicLab.Data;
+using HeuristicLab.Operators;
+using HeuristicLab.Parameters;
+using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
+using HeuristicLab.Problems.DataAnalysis.Symbolic;
+using System.Collections.Generic;
+using System.Linq;
+using HeuristicLab.Optimization;
+
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
+  /// <summary>
+  /// An operator that tracks the min average and max length of symbolic expression trees.
+  /// </summary>
+  [Item("MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer", "An operator that tracks the min avgerage and max Neasted Tree Size of symbolic expression trees.")]
+  [StorableClass]
+  public sealed class MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer : SymbolicDataAnalysisAnalyzer, ISymbolicExpressionTreeAnalyzer {
+    private const string ResultsParameterName = "Results";
+    private const string MinMaxAvgNeastedTreeSizeResultName = "MinMaxAvgNeastedTreeSize";
+
+    #region parameter properties
+    public ValueLookupParameter<VariableCollection> ResultsParameter {
+      get { return (ValueLookupParameter<VariableCollection>)Parameters[ResultsParameterName]; }
+    }
+    #endregion
+
+    [StorableConstructor]
+    private MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer(bool deserializing) : base() { }
+    private MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer(MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer original, Cloner cloner)
+      : base(original, cloner) {
+      AfterDeserialization();
+    }
+    public MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer()
+      : base() {
+    }
+
+    [StorableHook(HookType.AfterDeserialization)]
+    private void AfterDeserialization() { }
+
+    public override IDeepCloneable Clone(Cloner cloner) {
+      return new MinAverageMaxSymbolicExpressionNeastedTreeSizeAnalyzer(this, cloner);
+    }
+
+    public override IOperation Apply() {
+      var trees = SymbolicExpressionTreeParameter.ActualValue;
+      //var variablesNumber = new DoubleArray(trees.Length);
+      var variablesNumber = trees.Select(tree => tree.IterateNodesPostfix().Sum(n => n.GetLength())).ToArray();
+      var min = variablesNumber.Min();
+      var max = variablesNumber.Max();
+      var avg = variablesNumber.Average();
+
+      DataTable table;
+      if (ResultCollection.ContainsKey(MinMaxAvgNeastedTreeSizeResultName)) {
+        table = (DataTable)ResultCollection[MinMaxAvgNeastedTreeSizeResultName].Value;
+      } else {
+        table = new DataTable("Tree Variables Number");
+        ResultCollection.Add(new Result(MinMaxAvgNeastedTreeSizeResultName, table));
+        table.Rows.Add(new DataRow("Min") { VisualProperties = { StartIndexZero = true } });
+        table.Rows.Add(new DataRow("Max") { VisualProperties = { StartIndexZero = true } });
+        table.Rows.Add(new DataRow("Avg") { VisualProperties = { StartIndexZero = true } });
+      }
+      table.Rows["Min"].Values.Add(min);
+      table.Rows["Max"].Values.Add(max);
+      table.Rows["Avg"].Values.Add(avg);
+
+      return base.Apply();
+    }
+  }
+}
Index: 3.4/Analyzers/MinAverageMaxSymbolicExpressionTreeComplexcityAnalyzer.cs
===================================================================
--- 3.4/Analyzers/MinAverageMaxSymbolicExpressionTreeComplexcityAnalyzer.cs	(nonexistent)
+++ 3.4/Analyzers/MinAverageMaxSymbolicExpressionTreeComplexcityAnalyzer.cs	(working copy)
@@ -0,0 +1,108 @@
+
+#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 <http://www.gnu.org/licenses/>.
+ */
+#endregion
+
+using System;
+using HeuristicLab.Analysis;
+using HeuristicLab.Common;
+using HeuristicLab.Core;
+using HeuristicLab.Data;
+using HeuristicLab.Operators;
+using HeuristicLab.Parameters;
+using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
+using HeuristicLab.Problems.DataAnalysis.Symbolic;
+using System.Collections.Generic;
+using System.Linq;
+using HeuristicLab.Optimization;
+
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
+  /// <summary>
+  /// An operator that tracks the min average and max length of symbolic expression trees.
+  /// </summary>
+  [Item("MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer", "An operator that tracks the min avgerage and max Complexity of symbolic expression trees.")]
+  [StorableClass]
+  public sealed class MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer : SymbolicDataAnalysisAnalyzer, ISymbolicExpressionTreeAnalyzer {
+    private const string ResultsParameterName = "Results";
+    private const string MinMaxAvgComplexityResultName = "MinMaxAvgTreeComplexity";
+
+    #region parameter properties
+    public ValueLookupParameter<VariableCollection> ResultsParameter {
+      get { return (ValueLookupParameter<VariableCollection>)Parameters[ResultsParameterName]; }
+    }
+    #endregion
+
+    [StorableConstructor]
+    private MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer(bool deserializing) : base() { }
+    private MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer(MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer original, Cloner cloner)
+      : base(original, cloner) {
+      AfterDeserialization();
+    }
+    public MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer()
+      : base() {
+    }
+
+    [StorableHook(HookType.AfterDeserialization)]
+    private void AfterDeserialization() {}
+
+    public override IDeepCloneable Clone(Cloner cloner) {
+      return new MinAverageMaxSymbolicExpressionTreeComplexityAnalyzer(this, cloner);
+    }
+
+    public override IOperation Apply() {
+      var trees = SymbolicExpressionTreeParameter.ActualValue;
+      var complexities = trees.Select(SymbolicDataAnalysisModelComplexityCalculator.CalculateComplexity).ToArray();
+
+      var min = complexities.Min();
+      var max = complexities.Max();
+      var avg = complexities.Average();
+
+      //double min = complexities[0], max = complexities[0], avg = 0;
+
+      //foreach (var c in complexities) {
+      //  if (min > c) {
+      //    min = c;
+      //  }
+      //  if (max < c) {
+      //    max = c;
+      //  }
+      //  avg += c;
+      //}
+      //avg /= complexities.Length;
+
+      DataTable table;
+      if (ResultCollection.ContainsKey(MinMaxAvgComplexityResultName)) {
+        table = (DataTable)ResultCollection[MinMaxAvgComplexityResultName].Value;
+      } else {
+        table = new DataTable("Tree Complexity");
+        ResultCollection.Add(new Result(MinMaxAvgComplexityResultName, table));
+        table.Rows.Add(new DataRow("Min") { VisualProperties = { StartIndexZero = true } });
+        table.Rows.Add(new DataRow("Max") { VisualProperties = { StartIndexZero = true } });
+        table.Rows.Add(new DataRow("Avg") { VisualProperties = { StartIndexZero = true } });
+      }
+      table.Rows["Min"].Values.Add(min);
+      table.Rows["Max"].Values.Add(max);
+      table.Rows["Avg"].Values.Add(avg);
+
+      return base.Apply();
+    }
+  }
+}
Index: 3.4/Analyzers/MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer.cs
===================================================================
--- 3.4/Analyzers/MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer.cs	(nonexistent)
+++ 3.4/Analyzers/MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer.cs	(working copy)
@@ -0,0 +1,94 @@
+#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 <http://www.gnu.org/licenses/>.
+ */
+#endregion
+
+using System;
+using HeuristicLab.Analysis;
+using HeuristicLab.Common;
+using HeuristicLab.Core;
+using HeuristicLab.Data;
+using HeuristicLab.Operators;
+using HeuristicLab.Parameters;
+using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
+using HeuristicLab.Problems.DataAnalysis.Symbolic;
+using System.Collections.Generic;
+using System.Linq;
+using HeuristicLab.Optimization;
+
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
+  /// <summary>
+  /// An operator that tracks the min average and max length of symbolic expression trees.
+  /// </summary>
+  [Item("MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer", "An operator that tracks the min avgerage and max VariablesNumber of symbolic expression trees.")]
+  [StorableClass]
+  public sealed class MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer : SymbolicDataAnalysisAnalyzer, ISymbolicExpressionTreeAnalyzer {
+    private const string ResultsParameterName = "Results";
+    private const string MinMaxAvgVariablesNumberResultName = "MinMaxAvgTreeVariablesNumber";
+
+    #region parameter properties
+    public ValueLookupParameter<VariableCollection> ResultsParameter {
+      get { return (ValueLookupParameter<VariableCollection>)Parameters[ResultsParameterName]; }
+    }
+    #endregion
+
+    [StorableConstructor]
+    private MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer(bool deserializing) : base() { }
+    private MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer(MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer original, Cloner cloner)
+      : base(original, cloner) {
+      AfterDeserialization();
+    }
+    public MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer()
+      : base() {
+    }
+
+    [StorableHook(HookType.AfterDeserialization)]
+    private void AfterDeserialization() { }
+
+    public override IDeepCloneable Clone(Cloner cloner) {
+      return new MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer(this, cloner);
+    }
+
+    public override IOperation Apply() {
+      var trees = SymbolicExpressionTreeParameter.ActualValue;
+      //var variablesNumber = new DoubleArray(trees.Length);
+      var variablesNumber = trees.Select(tree => tree.IterateNodesPostfix().OfType<IVariableTreeNode>().Count()).ToArray();
+      var min = variablesNumber.Min();
+      var max = variablesNumber.Max();
+      var avg = variablesNumber.Average();
+
+      DataTable table;
+      if (ResultCollection.ContainsKey(MinMaxAvgVariablesNumberResultName)) {
+        table = (DataTable)ResultCollection[MinMaxAvgVariablesNumberResultName].Value;
+      } else {
+        table = new DataTable("Tree Variables Number");
+        ResultCollection.Add(new Result(MinMaxAvgVariablesNumberResultName, table));
+        table.Rows.Add(new DataRow("Min") { VisualProperties = { StartIndexZero = true } });
+        table.Rows.Add(new DataRow("Max") { VisualProperties = { StartIndexZero = true } });
+        table.Rows.Add(new DataRow("Avg") { VisualProperties = { StartIndexZero = true } });
+      }
+      table.Rows["Min"].Values.Add(min);
+      table.Rows["Max"].Values.Add(max);
+      table.Rows["Avg"].Values.Add(avg);
+
+      return base.Apply();
+    }
+  }
+}
Index: 3.4/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj
===================================================================
--- 3.4/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj	(revision 16364)
+++ 3.4/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj	(working copy)
@@ -126,6 +126,9 @@
     <Reference Include="System.Xml" />
   </ItemGroup>
   <ItemGroup>
+    <Compile Include="Analyzers\MinAverageMaxSymbolicExpressionNeastedTreeSyzeAnalyzer.cs" />
+    <Compile Include="Analyzers\MinAverageMaxSymbolicExpressionTreeVariablesNumberAnalyzer.cs" />
+    <Compile Include="Analyzers\MinAverageMaxSymbolicExpressionTreeComplexcityAnalyzer.cs" />
     <Compile Include="Analyzers\SymbolicDataAnalysisBottomUpDiversityAnalyzer.cs" />
     <Compile Include="Analyzers\SymbolicDataAnalysisBuildingBlockAnalyzer.cs" />
     <Compile Include="Analyzers\SymbolicDataAnalysisSingleObjectivePruningAnalyzer.cs" />