Changeset 15281 for branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm

Timestamp:

07/23/17 11:17:18 (8 years ago)

Author:

abeham

Message:

#2258: merged r14001:15280 from trunk into branch

Location:

branches/Async

Files:

• . (modified) (2 props)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/IslandOffspringSelectionGeneticAlgorithm.cs (modified) (4 diffs)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/IslandOffspringSelectionGeneticAlgorithmMainLoop.cs (modified) (1 diff)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithm.cs (modified) (8 diffs)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithmMainLoop.cs (modified) (1 diff)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithmMainOperator.cs (modified) (1 diff)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/Plugin.cs.frame (modified) (2 diffs)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/Properties/AssemblyInfo.cs.frame (modified) (3 diffs)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASA.cs (modified) (4 diffs)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASAMainLoop.cs (modified) (1 diff)
• HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SuccessfulOffspringAnalysis/SuccessfulOffspringAnalyzer.cs (modified) (1 diff)

branches/Async

@@ -24 +24 @@
 protoc.exe
 obj
+.vs

@@ -24 +24 @@
 protoc.exe
 obj
+.vs

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/IslandOffspringSelectionGeneticAlgorithm.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -280 +280 @@
       if (!Parameters.ContainsKey("FillPopulationWithParents"))
         Parameters.Add(new FixedValueParameter<BoolValue>("FillPopulationWithParents", "True if the population should be filled with parent individual or false if worse children should be used when the maximum selection pressure is exceeded.", new BoolValue(false)) { Hidden = true });
+
+      var optionalMutatorParameter = MutatorParameter as OptionalConstrainedValueParameter<IManipulator>;
+      if (optionalMutatorParameter != null) {
+        Parameters.Remove(optionalMutatorParameter);
+        Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+        foreach (var m in optionalMutatorParameter.ValidValues)
+          MutatorParameter.ValidValues.Add(m);
+        if (optionalMutatorParameter.Value == null) MutationProbability.Value = 0; // to guarantee that the old configuration results in the same behavior
+        else Mutator = optionalMutatorParameter.Value;
+        optionalMutatorParameter.ValidValues.Clear(); // to avoid dangling references to the old parameter its valid values are cleared
+      }
       #endregion
 
@@ -311 +322 @@
       Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
       Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
-      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+      Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
       Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
       Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
@@ -642 +653 @@
       IManipulator oldMutator = MutatorParameter.Value;
       MutatorParameter.ValidValues.Clear();
+      IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
+
       foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
         MutatorParameter.ValidValues.Add(mutator);
+
       if (oldMutator != null) {
         IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
         if (mutator != null) MutatorParameter.Value = mutator;
-      }
+        else oldMutator = null;
+      }
+
+      if (oldMutator == null && defaultMutator != null)
+        MutatorParameter.Value = defaultMutator;
     }
     private void UpdateAnalyzers() {

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/IslandOffspringSelectionGeneticAlgorithmMainLoop.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithm.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -55 +55 @@
 
     #region Parameter Properties
-    private ValueParameter<IntValue> SeedParameter {
+    public IValueParameter<IntValue> SeedParameter {
       get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
     }
-    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
+    public IValueParameter<BoolValue> SetSeedRandomlyParameter {
       get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
     }
-    private ValueParameter<IntValue> PopulationSizeParameter {
+    public IValueParameter<IntValue> PopulationSizeParameter {
       get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
     }
@@ -70 +70 @@
       get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
     }
-    private ValueParameter<PercentValue> MutationProbabilityParameter {
+    public IValueParameter<PercentValue> MutationProbabilityParameter {
       get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
     }
@@ -76 +76 @@
       get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
     }
-    private ValueParameter<IntValue> ElitesParameter {
+    public IValueParameter<IntValue> ElitesParameter {
       get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
     }
-    private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
+    public IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
       get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
     }
-    private ValueParameter<IntValue> MaximumGenerationsParameter {
+    public IValueParameter<IntValue> MaximumGenerationsParameter {
       get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
     }
-    private ValueLookupParameter<DoubleValue> SuccessRatioParameter {
+    public IValueLookupParameter<DoubleValue> SuccessRatioParameter {
       get { return (ValueLookupParameter<DoubleValue>)Parameters["SuccessRatio"]; }
     }
-    private ValueLookupParameter<DoubleValue> ComparisonFactorLowerBoundParameter {
+    public IValueLookupParameter<DoubleValue> ComparisonFactorLowerBoundParameter {
       get { return (ValueLookupParameter<DoubleValue>)Parameters["ComparisonFactorLowerBound"]; }
     }
-    private ValueLookupParameter<DoubleValue> ComparisonFactorUpperBoundParameter {
+    public IValueLookupParameter<DoubleValue> ComparisonFactorUpperBoundParameter {
       get { return (ValueLookupParameter<DoubleValue>)Parameters["ComparisonFactorUpperBound"]; }
     }
@@ -97 +97 @@
       get { return (IConstrainedValueParameter<IDiscreteDoubleValueModifier>)Parameters["ComparisonFactorModifier"]; }
     }
-    private ValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
+    public IValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
       get { return (ValueLookupParameter<DoubleValue>)Parameters["MaximumSelectionPressure"]; }
     }
-    private ValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
+    public IValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
       get { return (ValueLookupParameter<BoolValue>)Parameters["OffspringSelectionBeforeMutation"]; }
     }
-    private ValueLookupParameter<IntValue> SelectedParentsParameter {
+    public IValueLookupParameter<IntValue> SelectedParentsParameter {
       get { return (ValueLookupParameter<IntValue>)Parameters["SelectedParents"]; }
     }
-    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
+    public IValueParameter<MultiAnalyzer> AnalyzerParameter {
       get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
     }
-    private ValueParameter<IntValue> MaximumEvaluatedSolutionsParameter {
+    public IValueParameter<IntValue> MaximumEvaluatedSolutionsParameter {
       get { return (ValueParameter<IntValue>)Parameters["MaximumEvaluatedSolutions"]; }
     }
-    private IFixedValueParameter<BoolValue> FillPopulationWithParentsParameter {
+    public IFixedValueParameter<BoolValue> FillPopulationWithParentsParameter {
       get { return (IFixedValueParameter<BoolValue>)Parameters["FillPopulationWithParents"]; }
     }
@@ -228 +228 @@
       if (!Parameters.ContainsKey("FillPopulationWithParents"))
         Parameters.Add(new FixedValueParameter<BoolValue>("FillPopulationWithParents", "True if the population should be filled with parent individual or false if worse children should be used when the maximum selection pressure is exceeded.", new BoolValue(false)) { Hidden = true });
+
+      var optionalMutatorParameter = MutatorParameter as OptionalConstrainedValueParameter<IManipulator>;
+      if (optionalMutatorParameter != null) {
+        Parameters.Remove(optionalMutatorParameter);
+        Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+        foreach (var m in optionalMutatorParameter.ValidValues)
+          MutatorParameter.ValidValues.Add(m);
+        if (optionalMutatorParameter.Value == null) MutationProbability.Value = 0; // to guarantee that the old configuration results in the same behavior
+        else Mutator = optionalMutatorParameter.Value;
+        optionalMutatorParameter.ValidValues.Clear(); // to avoid dangling references to the old parameter its valid values are cleared
+      }
       #endregion
 
@@ -250 +261 @@
       Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
       Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
-      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+      Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
       Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
       Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
@@ -487 +498 @@
       IManipulator oldMutator = MutatorParameter.Value;
       MutatorParameter.ValidValues.Clear();
+      IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
+
       foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
         MutatorParameter.ValidValues.Add(mutator);
+
       if (oldMutator != null) {
         IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
         if (mutator != null) MutatorParameter.Value = mutator;
-      }
+        else oldMutator = null;
+      }
+
+      if (oldMutator == null && defaultMutator != null)
+        MutatorParameter.Value = defaultMutator;
     }
     private void UpdateAnalyzers() {

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithmMainLoop.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithmMainOperator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/Plugin.cs.frame

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -26 +26 @@
   /// Plugin class for HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm plugin.
   /// </summary>
-  [Plugin("HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm", "3.3.13.$WCREV$")]
+  [Plugin("HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm", "3.3.14.$WCREV$")]
   [PluginFile("HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm-3.3.dll", PluginFileType.Assembly)]
   [PluginDependency("HeuristicLab.Analysis", "3.3")]

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/Properties/AssemblyInfo.cs.frame

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -31 +31 @@
 [assembly: AssemblyCompany("")]
 [assembly: AssemblyProduct("HeuristicLab")]
-[assembly: AssemblyCopyright("(c) 2002-2015 HEAL")]
+[assembly: AssemblyCopyright("(c) 2002-2016 HEAL")]
 [assembly: AssemblyTrademark("")]
 [assembly: AssemblyCulture("")]
@@ -53 +53 @@
 // by using the '*' as shown below:
 [assembly: AssemblyVersion("3.3.0.0")]
-[assembly: AssemblyFileVersion("3.3.13.$WCREV$")]
+[assembly: AssemblyFileVersion("3.3.14.$WCREV$")]

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASA.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -256 +256 @@
       if (!Parameters.ContainsKey("FillPopulationWithParents"))
         Parameters.Add(new FixedValueParameter<BoolValue>("FillPopulationWithParents", "True if the population should be filled with parent individual or false if worse children should be used when the maximum selection pressure is exceeded.", new BoolValue(false)) { Hidden = true });
+
+      var optionalMutatorParameter = MutatorParameter as OptionalConstrainedValueParameter<IManipulator>;
+      if (optionalMutatorParameter != null) {
+        Parameters.Remove(optionalMutatorParameter);
+        Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+        foreach (var m in optionalMutatorParameter.ValidValues)
+          MutatorParameter.ValidValues.Add(m);
+        if (optionalMutatorParameter.Value == null) MutationProbability.Value = 0; // to guarantee that the old configuration results in the same behavior
+        else Mutator = optionalMutatorParameter.Value;
+        optionalMutatorParameter.ValidValues.Clear(); // to avoid dangling references to the old parameter its valid values are cleared
+      }
       #endregion
 
@@ -282 +293 @@
       Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
       Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
-      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+      Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
       Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
       Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
@@ -561 +572 @@
       ICrossover oldCrossover = CrossoverParameter.Value;
       CrossoverParameter.ValidValues.Clear();
+      ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
+
       foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
         CrossoverParameter.ValidValues.Add(crossover);
+
       if (oldCrossover != null) {
         ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
         if (crossover != null) CrossoverParameter.Value = crossover;
-      }
+        else oldCrossover = null;
+      }
+      if (oldCrossover == null && defaultCrossover != null)
+        CrossoverParameter.Value = defaultCrossover;
     }
     private void UpdateMutators() {
       IManipulator oldMutator = MutatorParameter.Value;
       MutatorParameter.ValidValues.Clear();
+      IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
+
       foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
         MutatorParameter.ValidValues.Add(mutator);
+
       if (oldMutator != null) {
         IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
         if (mutator != null) MutatorParameter.Value = mutator;
-      }
+        else oldMutator = null;
+      }
+
+      if (oldMutator == null && defaultMutator != null)
+        MutatorParameter.Value = defaultMutator;
     }
     private void UpdateAnalyzers() {

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASAMainLoop.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.

branches/Async/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SuccessfulOffspringAnalysis/SuccessfulOffspringAnalyzer.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.

@@ -24 +24 @@
 protoc.exe
 obj
+.vs