Update Clustring version + use Karger's algorithm strategy in Monte Carlo evaluation

pom.xml

@@ -9,7 +9,7 @@
 
     <groupId>de.monticore.lang.monticar</groupId>
     <artifactId>embedded-montiarc-math-middleware-generator</artifactId>
-    <version>0.0.22-SNAPSHOT</version>
+    <version>0.0.23-SNAPSHOT</version>
 
 
     <!-- == PROJECT DEPENDENCIES ============================================= -->
@@ -24,7 +24,7 @@
         <Embedded-montiarc-math-roscpp-generator.version>0.1.4-SNAPSHOT</Embedded-montiarc-math-roscpp-generator.version>
         <EMADL2CPP.version>0.2.8</EMADL2CPP.version>
         <EMADL.version>0.2.7-SNAPSHOT</EMADL.version>
-        <embedded-montiarc-component-clustering.version>0.0.1-SNAPSHOT</embedded-montiarc-component-clustering.version>
+        <embedded-montiarc-component-clustering.version>0.0.2-SNAPSHOT</embedded-montiarc-component-clustering.version>
 
         <!-- .. Libraries .................................................. -->
         <guava.version>18.0</guava.version>

src/test/java/de/monticore/lang/monticar/generator/middleware/EvaluationTest.java

@@ -3,6 +3,7 @@ package de.monticore.lang.monticar.generator.middleware;
 import de.monticore.lang.embeddedmontiarc.embeddedmontiarc._symboltable.instanceStructure.EMAComponentInstanceSymbol;
 import de.monticore.lang.monticar.clustering.FlattenArchitecture;
 import de.monticore.lang.monticar.clustering.Simulation.MonteCarloIntegration;
+import de.monticore.lang.monticar.clustering.Simulation.MonteCarloKargerStrategy;
 import de.monticore.lang.monticar.clustering.Simulation.MonteCarloResult;
 import de.monticore.lang.monticar.generator.middleware.cli.DistributedTargetGeneratorCli;
 import de.monticore.lang.tagging._symboltable.TaggingResolver;
@@ -96,6 +97,7 @@ public class EvaluationTest {
         //Random Clustering
         System.out.println("Starting Simulation");
         MonteCarloIntegration sim = new MonteCarloIntegration(iterations, 3);
+        sim.setClusteringDelegate(new MonteCarloKargerStrategy());
         sim.simulate(flattenedComponent);
 
         MonteCarloResult res = new MonteCarloResult(componentInstanceSymbol, sim);