diff --git a/src/main/java/be/cylab/java/wowa/training/TrainerParameters.java b/src/main/java/be/cylab/java/wowa/training/TrainerParameters.java
index 15adeda7b514f240aa5177de7978bd8e056de8db..09775fa5f8818a6aefdf63e88278b5f032f60744 100644
--- a/src/main/java/be/cylab/java/wowa/training/TrainerParameters.java
+++ b/src/main/java/be/cylab/java/wowa/training/TrainerParameters.java
@@ -46,7 +46,7 @@ public class TrainerParameters {
      *                              the algorithm stop
      */
     public TrainerParameters(
-            Logger logger,
+            final Logger logger,
             final int population_size,
             final int crossover_rate,
             final int mutation_rate,
@@ -129,7 +129,7 @@ public class TrainerParameters {
      * Getter for selection method.
      * @return int
      */
-    int getSelectionMethod() {
+    final int getSelectionMethod() {
         return selection_method;
     }
 
diff --git a/src/main/java/be/cylab/java/wowa/training/Utils.java b/src/main/java/be/cylab/java/wowa/training/Utils.java
index 12bdf610b5f614b9d74b9bf83c36b8f33ce44310..3a7203abcd29f66e4681ee9dc931c9a74c06b8a2 100644
--- a/src/main/java/be/cylab/java/wowa/training/Utils.java
+++ b/src/main/java/be/cylab/java/wowa/training/Utils.java
@@ -1,20 +1,29 @@
 package be.cylab.java.wowa.training;
 
+import javax.rmi.CORBA.Util;
 import java.util.List;
 import java.util.Random;
 
-public class Utils {
+/**
+ * Class Utils.
+ * Contain tools for Trainer algorithm
+ */
+public final class Utils {
+
+    private Utils() {
+
+    }
     /**
      * @param weights
      * @return
      */
     public static double[] normalizeWeights(final double[] weights) {
         double sum_weight = Utils.sumArrayElements(weights);
-        double[] weightsNormalized = new double[weights.length];
+        double[] weights_normalized = new double[weights.length];
         for (int i = 0; i < weights.length; i++) {
-            weightsNormalized[i] = weights[i] / sum_weight;
+            weights_normalized[i] = weights[i] / sum_weight;
         }
-        return weightsNormalized;
+        return weights_normalized;
     }
 
     /**