Changeset 11564 for branches/OptimizationNetworks/HeuristicLab.Optimization.Networks/3.3/Optimization.Networks.KSPTSP/KSPTSPNetwork.cs

Timestamp:

11/23/14 05:32:41 (10 years ago)

Author:

swagner

Message:

#2205: Continued working on programmable network items

File:

• branches/OptimizationNetworks/HeuristicLab.Optimization.Networks/3.3/Optimization.Networks.KSPTSP/KSPTSPNetwork.cs (modified) (2 diffs)

branches/OptimizationNetworks/HeuristicLab.Optimization.Networks/3.3/Optimization.Networks.KSPTSP/KSPTSPNetwork.cs

@@ -20 +20 @@
 #endregion
 
-using HeuristicLab.Algorithms.GeneticAlgorithm;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Core.Networks;
-using HeuristicLab.Data;
-using HeuristicLab.Encodings.BinaryVectorEncoding;
-using HeuristicLab.Operators;
-using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
-using HeuristicLab.Problems.Knapsack;
-using HeuristicLab.Problems.TravelingSalesman;
-using System.Linq;
+using System.Drawing;
 
 namespace HeuristicLab.Optimization.Networks.KSPTSP {
@@ -37 +30 @@
   [Creatable("Optimization Networks")]
   [StorableClass]
-  public class KSPTSPNetwork : Network {
+  public class KSPTSPNetwork : ProgrammableNetwork {
+    public static new Image StaticItemImage {
+      get { return HeuristicLab.Common.Resources.VSImageLibrary.Module; }
+    }
+
+    protected override string CodeTemplate {
+      get { return ReadCodeTemplate("HeuristicLab.Optimization.Networks.Optimization.Networks.KSPTSP.KSPTSPNetworkCode.cs"); }
+    }
+
     [StorableConstructor]
     protected KSPTSPNetwork(bool deserializing) : base(deserializing) { }
     protected KSPTSPNetwork(KSPTSPNetwork original, Cloner cloner) : base(original, cloner) { }
-    public KSPTSPNetwork()
-      : base("KSPTSPNetwork") {
-      Initialize();
-    }
-    public KSPTSPNetwork(string name)
-      : base(name) {
-      Initialize();
-    }
-    public KSPTSPNetwork(string name, string description)
-      : base(name, description) {
-      Initialize();
-    }
+    public KSPTSPNetwork() : base("KSPTSPNetwork") { }
+    public KSPTSPNetwork(string name) : base(name) { }
+    public KSPTSPNetwork(string name, string description) : base(name, description) { }
 
     public override IDeepCloneable Clone(Cloner cloner) {
       return new KSPTSPNetwork(this, cloner);
     }
-
-    protected virtual void Initialize() {
-      #region ParametersNode
-      var paramsNode = new UserDefinedNode("ParametersNode");
-      Nodes.Add(paramsNode);
-
-      var paramsPort = new MessagePort("Parameters");
-      paramsNode.Ports.Add(paramsPort);
-
-      paramsPort.Parameters.Add(new PortParameter<DoubleMatrix>("Cities") {
-        Type = PortParameterType.Output,
-        DefaultValue = new DoubleMatrix(new double[,] {
-          {00, 00}, {10, 00}, {20, 00}, {30, 00}, {40, 00}, 
-          {00, 10}, {10, 10}, {20, 10}, {30, 10}, {40, 10}, 
-          {00, 20}, {10, 20}, {20, 20}, {30, 20}, {40, 20}, 
-          {00, 30}, {10, 30}, {20, 30}, {30, 30}, {40, 30}, 
-          {00, 40}, {10, 40}, {20, 40}, {30, 40}, {40, 40}
-        })
-      });
-      paramsPort.Parameters.Add(new PortParameter<DoubleValue>("TransportCostsFactor") {
-        Type = PortParameterType.Output,
-        DefaultValue = new DoubleValue(0.1)
-      });
-      paramsPort.Parameters.Add(new PortParameter<IntValue>("KnapsackCapacity") {
-        Type = PortParameterType.Output,
-        DefaultValue = new IntValue(10)
-      });
-      paramsPort.Parameters.Add(new PortParameter<IntArray>("Values") {
-        Type = PortParameterType.Output,
-        DefaultValue = new IntArray(new int[] { 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5 })
-      });
-      paramsPort.Parameters.Add(new PortParameter<IntArray>("Weights") {
-        Type = PortParameterType.Output,
-        DefaultValue = new IntArray(new int[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 })
-      });
-      #endregion
-
-      #region KSPNode
-      var kspNode = new AlgorithmNode("KSPNode");
-      Nodes.Add(kspNode);
-
-      var configPort = new ConfigurationPort("ConfigureKSP");
-      kspNode.Ports.Add(configPort);
-
-      configPort.Parameters.Add(new PortParameter<IntValue>("KnapsackCapacity") {
-        Type = PortParameterType.Input
-      });
-      configPort.Parameters.Add(new PortParameter<IntArray>("Values") {
-        Type = PortParameterType.Input
-      });
-      configPort.Parameters.Add(new PortParameter<IntArray>("Weights") {
-        Type = PortParameterType.Input
-      });
-
-      var evaluatePort = new MessagePort("EvaluateRoute");
-      kspNode.Ports.Add(evaluatePort);
-
-      evaluatePort.Parameters.Add(new PortParameter<BinaryVector>("KnapsackSolution") {
-        Type = PortParameterType.Output
-      });
-      evaluatePort.Parameters.Add(new PortParameter<DoubleValue>("Quality") {
-        Type = PortParameterType.Output | PortParameterType.Input
-      });
-      evaluatePort.Parameters.Add(new PortParameter<DoubleValue>("TransportCosts") {
-        Type = PortParameterType.Input
-      });
-      evaluatePort.Parameters.Add(new PortParameter<PathTSPTour>("Route") {
-        Type = PortParameterType.Input
-      });
-
-      var kspGA = new GeneticAlgorithm();
-      kspGA.Problem = new KnapsackProblem();
-      kspGA.MaximumGenerations.Value = 50;
-      kspGA.PopulationSize.Value = 10;
-      kspGA.Mutator = kspGA.MutatorParameter.ValidValues.Where(x => x.Name == "SinglePositionBitflipManipulator").First();
-      kspNode.Algorithm = kspGA;
-
-      var hook = new HookOperator();
-      hook.Parameters.Add(new LookupParameter<BinaryVector>("KnapsackSolution") { Hidden = false });
-      hook.Parameters.Add(new LookupParameter<DoubleValue>("Quality") { Hidden = false });
-      hook.Parameters.Add(new LookupParameter<DoubleValue>("TransportCosts") { Hidden = false });
-      hook.Parameters.Add(new LookupParameter<PathTSPTour>("Route") { Hidden = false });
-      ((FixedValueParameter<OperatorList>)kspGA.Problem.Evaluator.Parameters["AfterExecutionOperators"]).Value.Add(hook);
-      #endregion
-
-      #region TSPNode
-      var tspNode = new AlgorithmNode("TSPNode");
-      Nodes.Add(tspNode);
-
-      var executePort = new ExecutionPort("Execute");
-      tspNode.Ports.Add(executePort);
-
-      executePort.Parameters.Add(new PortParameter<DoubleMatrix>("Coordinates") {
-        Type = PortParameterType.Input
-      });
-      executePort.Parameters.Add(new PortParameter<DoubleValue>("BestQuality") {
-        Type = PortParameterType.Output
-      });
-      executePort.Parameters.Add(new PortParameter<PathTSPTour>("Best TSP Solution") {
-        Type = PortParameterType.Output
-      });
-
-      var tspGA = new GeneticAlgorithm();
-      tspGA.Problem = new TravelingSalesmanProblem();
-      tspGA.MaximumGenerations.Value = 100;
-      tspGA.PopulationSize.Value = 50;
-      tspGA.Mutator = tspGA.MutatorParameter.ValidValues.Where(x => x.Name == "InversionManipulator").First();
-      tspNode.Algorithm = tspGA;
-      #endregion
-
-      #region KSPTSPConnector
-      var ksptspConnector = (INode)new KSPTSPConnector();
-      Nodes.Add(ksptspConnector);
-      #endregion
-
-      #region Wire Ports
-      hook.Port = evaluatePort;
-      configPort.ConnectedPort = paramsPort;
-      evaluatePort.ConnectedPort = (IMessagePort)ksptspConnector.Ports["KSP Connector"];
-      ((IMessagePort)ksptspConnector.Ports["Parameters"]).ConnectedPort = paramsPort;
-      ((IMessagePort)ksptspConnector.Ports["TSP Connector"]).ConnectedPort = executePort;
-
-      paramsPort.SendMessage(paramsPort.PrepareMessage());
-      #endregion
-    }
   }
 }