Changeset 14552 for branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Binary/SolutionModel/Univariate

Timestamp:

01/09/17 00:36:20 (8 years ago)

Author:

abeham

Message:

#2701:

• Added alternating bits binary test Problem
• Refactored MemPR to work with programmable problem in current trunk
• fixed a bug in permutation MemPR when crossover doesn't assign an offspring

Location:

branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Binary/SolutionModel/Univariate

Files:

• BiasedModelTrainer.cs (modified) (2 diffs)
• UnbiasedModelTrainer.cs (modified) (1 diff)

branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Binary/SolutionModel/Univariate/BiasedModelTrainer.cs

@@ -34 +34 @@
   [StorableClass]
   public class BiasedModelTrainer<TContext> : ParameterizedNamedItem, ISolutionModelTrainer<TContext>
-    where TContext : IPopulationBasedHeuristicAlgorithmContext<SingleObjectiveBasicProblem<BinaryVectorEncoding>, BinaryVector>, ISolutionModelContext<BinaryVector> {
+    where TContext : IPopulationBasedHeuristicAlgorithmContext<ISingleObjectiveHeuristicOptimizationProblem, BinaryVector>, ISolutionModelContext<BinaryVector> {
     
     [Storable]
@@ -58 +58 @@
 
     public void TrainModel(TContext context) {
-      context.Model = Trainer.TrainBiased(ModelBias, context.Random, context.Problem.Maximization, context.Population.Select(x => x.Solution), context.Population.Select(x => x.Fitness));
+      context.Model = Trainer.TrainBiased(ModelBias, context.Random, context.Maximization, context.Population.Select(x => x.Solution), context.Population.Select(x => x.Fitness));
     }
   }

branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Binary/SolutionModel/Univariate/UnbiasedModelTrainer.cs

@@ -32 +32 @@
   [StorableClass]
   public class UniasedModelTrainer<TContext> : NamedItem, ISolutionModelTrainer<TContext>
-    where TContext : IPopulationBasedHeuristicAlgorithmContext<SingleObjectiveBasicProblem<BinaryVectorEncoding>, BinaryVector>, ISolutionModelContext<BinaryVector> {
+    where TContext : IPopulationBasedHeuristicAlgorithmContext<ISingleObjectiveHeuristicOptimizationProblem, BinaryVector>, ISolutionModelContext<BinaryVector> {
     
     [StorableConstructor]