Changeset 13183 for trunk/sources/HeuristicLab.Problems.ExternalEvaluation/3.4/Programmable/CompiledMultiObjectiveOptimizationSupport.cs

Timestamp:

11/16/15 18:55:07 (8 years ago)

Author:

pfleck

Message:

#1674

• Added a SupportScript for the MultiObjectiveExternalEvaluationProblem.
• Extracted code from the SingleObjectiveOptimizationSupportScript into the OptimizationSupportScript to reuse code for the MultiObjectiveOptimizationSupportScript.

File:

• trunk/sources/HeuristicLab.Problems.ExternalEvaluation/3.4/Programmable/CompiledMultiObjectiveOptimizationSupport.cs (copied) (copied from trunk/sources/HeuristicLab.Problems.ExternalEvaluation/3.4/Programmable/CompiledSingleObjectiveOptimizationSupport.cs) (2 diffs)

trunk/sources/HeuristicLab.Problems.ExternalEvaluation/3.4/Programmable/CompiledMultiObjectiveOptimizationSupport.cs

@@ -8 +8 @@
 
 namespace HeuristicLab.Problems.ExternalEvaluation {
-  public class CompiledSingleObjectiveOptimizationSupport : CompiledOptimizationSupport, ISingleObjectiveOptimizationSupport {
+  public class CompiledMultiObjectiveOptimizationSupport : CompiledOptimizationSupport, IMultiObjectiveOptimizationSupport {
 
-    public void Analyze(Individual[] individuals, double[] qualities, ResultCollection results, IRandom random) {
+    public void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) {
       // Use vars.yourVariable to access variables in the variable store i.e. yourVariable
       // Write or update results given the range of vectors and resulting qualities
@@ -20 +20 @@
     }
 
-    public IEnumerable<Individual> GetNeighbors(Individual individual, IRandom random) {
-      // Use vars.yourVariable to access variables in the variable store i.e. yourVariable
-      // Create new vectors, based on the given one that represent small changes
-      // This method is only called from move-based algorithms (Local Search, Simulated Annealing, etc.)
-      while (true) {
-        // Algorithm will draw only a finite amount of samples
-        // Change to a for-loop to return a concrete amount of neighbors
-        var neighbor = individual.Copy();
-        // For instance, perform a single bit-flip in a binary parameter
-        //var bIndex = random.Next(neighbor.BinaryVector("b").Length);
-        //neighbor.BinaryVector("b")[bIndex] = !neighbor.BinaryVector("b")[bIndex];
-        yield return neighbor;
-      }
-    }
-
     // Implement further classes and methods
   }
 }
-