More @Parameters and a fix for empty getters.

src/eva2/cli/OptimizationBuilder.java

@@ -155,8 +155,14 @@ public final class OptimizationBuilder {
                     } else {
                         // The subtree has the name of the class
                         String className = (String)((ArgumentTree)tree.get(name)).getValue();
-                        // Try to get the actual class from its name
+
-                        Class subType = getClassFromName(className, type);
+                        Class subType;
+                        if (className != null) {
+                            // Try to get the actual class from its name
+                            subType = getClassFromName(className, type);
+                        } else {
+                            subType = type;
+                        }
 
                         // Here the recursion starts
                         obj = constructFromArgumentTree(subType, (ArgumentTree) tree.get(name));

src/eva2/problems/AbstractOptimizationProblem.java

@@ -87,13 +87,11 @@ public abstract class AbstractOptimizationProblem implements InterfaceOptimizati
         return parallelThreads;
     }
 
+    @Parameter(name = "parallel", description = "Set the number of threaded parallel function evaluations - interesting for slow functions and generational optimizers.")
     public void setParallelThreads(int parallelThreads) {
         this.parallelThreads = parallelThreads;
     }
 
-    public String parallelThreadsTipText() {
-        return "Set the number of threaded parallel function evaluations - interesting for slow functions and generational optimizers.";
-    }
 
     /**
      * This method initializes the problem instance.
@@ -406,10 +404,6 @@ public abstract class AbstractOptimizationProblem implements InterfaceOptimizati
         return template;
     }
 
-    public String individualTemplateTipText() {
-        return "Choose the individual representation to use.";
-    }
-
     /**
      * This method extracts the individuals from a given population that are assumed to correspond to local or global optima.
      * Similar individuals are clustered together with a density based clustering method

src/eva2/problems/AbstractProblemDouble.java

@@ -22,6 +22,7 @@ import eva2.tools.diagram.ColorBarCalculator;
 import eva2.tools.math.Jama.Matrix;
 import eva2.tools.math.Mathematics;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Parameter;
 
 /**
  * For a double valued problem, there are two main methods to implement:
@@ -285,6 +286,7 @@ public abstract class AbstractProblemDouble extends AbstractOptimizationProblem
      *
      * @param noise The sigma for a gaussian random number.
      */
+    @Parameter(description = "Gaussian noise level on the fitness value.")
     public void setNoise(double noise) {
         if (noise < 0) {
             noise = 0;
@@ -301,15 +303,12 @@ public abstract class AbstractProblemDouble extends AbstractOptimizationProblem
         return this.noise;
     }
 
-    public String noiseTipText() {
-        return "Gaussian noise level on the fitness value.";
-    }
-
     /**
      * This method allows you to choose the EA individual used by the problem.
      *
      * @param indy The EAIndividual type
      */
+    @Parameter(name = "individual", description = "Base individual type defining the data representation and mutation/crossover operators")
     public void setEAIndividual(InterfaceDataTypeDouble indy) {
         this.template = (AbstractEAIndividual) indy;
     }
@@ -324,10 +323,6 @@ public abstract class AbstractProblemDouble extends AbstractOptimizationProblem
         return (InterfaceDataTypeDouble) this.template;
     }
 
-    public String EAIndividualTipText() {
-        return "Set the base individual type defining the data representation and mutation/crossover operators";
-    }
-
     /**
      * A (symmetric) absolute range limit.
      *
@@ -351,6 +346,7 @@ public abstract class AbstractProblemDouble extends AbstractOptimizationProblem
         return "Absolute limit for the symmetric range in any dimension";
     }
 
+    @Parameter(name = "rotate", description = "If marked, the function is rotated by 22.5 degrees along every axis.")
     public void setDoRotation(boolean doRotation) {
         this.doRotation = doRotation;
         if (!doRotation) {
@@ -362,10 +358,6 @@ public abstract class AbstractProblemDouble extends AbstractOptimizationProblem
         return doRotation;
     }
 
-    public String doRotationTipText() {
-        return "If marked, the function is rotated by 22.5 degrees along every axis.";
-    }
-
     /**
      * *******************************************************************************************************************
      * These are for InterfaceParamControllable