Changeset 14552 for branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Interfaces

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

File:

• branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Interfaces/Interfaces.cs (modified) (3 diffs)

branches/MemPRAlgorithm/HeuristicLab.Algorithms.MemPR/3.3/Interfaces/Interfaces.cs

@@ -21 +21 @@
  
 using System.Collections.Generic;
+using System.Threading;
 using HeuristicLab.Algorithms.MemPR.Binary;
 using HeuristicLab.Algorithms.MemPR.Grouping;
@@ -63 +64 @@
 
   public interface IHeuristicAlgorithmContext<TProblem, TSolution> : IExecutionContext
-      where TProblem : class, ISingleObjectiveProblemDefinition {
+      where TProblem : class, ISingleObjectiveHeuristicOptimizationProblem {
     TProblem Problem { get; }
+    bool Maximization { get; }
     IRandom Random { get; }
     int Iterations { get; set; }
@@ -73 +75 @@
   }
 
+  public interface IEvaluationServiceContext<TSolution> : IExecutionContext {
+    double Evaluate(TSolution solution, CancellationToken token);
+    void Evaluate(ISingleObjectiveSolutionScope<TSolution> scope, CancellationToken token);
+  }
+
   public interface IPopulationBasedHeuristicAlgorithmContext<TProblem, TSolution> : IHeuristicAlgorithmContext<TProblem, TSolution>
-      where TProblem : class, ISingleObjectiveProblemDefinition {
+      where TProblem : class, ISingleObjectiveHeuristicOptimizationProblem {
     IEnumerable<ISingleObjectiveSolutionScope<TSolution>> Population { get; }
   }
 
   public interface ISingleSolutionHeuristicAlgorithmContext<TProblem, TSolution> : IHeuristicAlgorithmContext<TProblem, TSolution>
-      where TProblem : class, ISingleObjectiveProblemDefinition {
+      where TProblem : class, ISingleObjectiveHeuristicOptimizationProblem {
     ISingleObjectiveSolutionScope<TSolution> Solution { get; }
   }