Changeset 6733 for branches/GeneralizedQAP/HeuristicLab.Services.ProblemInstances/QAP/QAPInstanceDto.cs

Timestamp:

09/10/11 16:25:22 (13 years ago)

Author:

abeham

Message:

#1619

• Updated the model slightly
• Deployed the service
• Updated the GUI to perform asynchronous calls to the service

File:

• branches/GeneralizedQAP/HeuristicLab.Services.ProblemInstances/QAP/QAPInstanceDto.cs (modified) (4 diffs)

branches/GeneralizedQAP/HeuristicLab.Services.ProblemInstances/QAP/QAPInstanceDto.cs

@@ -1 @@
-
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -22 +21 @@
 
 using System;
+using System.Linq;
 using System.Runtime.Serialization;
 
@@ -37 +37 @@
     [DataMember]
     public double[][] Distances { get; set; }
+    [DataMember]
+    public double BestKnownQuality { get; set; }
+    [DataMember]
+    public bool HasBestKnownQuality { get; set; }
 
     public QAPInstanceDto() {
@@ -43 +47 @@
 
     public QAPInstanceDto(QAPInstance qAPInstance) {
-      Name = qAPInstance.name;
-      Description = qAPInstance.description;
-      Maximization = qAPInstance.maximization;
+      Name = qAPInstance.Name;
+      Description = qAPInstance.Description;
+      Maximization = qAPInstance.Maximization;
       try {
-        Weights = PrimitiveSerializer.DeserializeDoubleMatrix(qAPInstance.weights);
-        Distances = PrimitiveSerializer.DeserializeDoubleMatrix(qAPInstance.distances);
+        Weights = SimpleSerializer.DeserializeDoubleMatrix(qAPInstance.Weights);
+        Distances = SimpleSerializer.DeserializeDoubleMatrix(qAPInstance.Distances);
       } catch (ArgumentException e) {
-        throw new PrimitiveSerializationException("Failed to deserialize the weights or distance matrix.", e);
+        throw new SimpleSerializationException("Failed to deserialize the weights or distance matrix.", e);
+      }
+      BestKnownQuality = double.NaN;
+      HasBestKnownQuality = false;
+      if (qAPInstance.Solutions.Any()) {
+        double bestQuality;
+        if (Maximization) bestQuality = qAPInstance.Solutions.Max(x => x.Quality);
+        else bestQuality = qAPInstance.Solutions.Min(x => x.Quality);
+        HasBestKnownQuality = true;
       }
     }