Fix parameters for cantilever beam optimization.

In case the GA can't find the constraints of the optimal solution, it
will return NaN.

Author: FriesischScott

COSSANXengine/examples/Tutorials/CantileverBeam/TutorialCantileverBeamMatlabOptimization.m

@@ -163,7 +163,7 @@
 Xsqp = SequentialQuadraticProgramming('finitedifferenceperturbation',0.01);
 Xcobyla = Cobyla();
 Xga = GeneticAlgorithms('Smutationfcn','mutationadaptfeasible','NmaxIterations',50, ...
-    'NPopulationSize',200);
+    'NPopulationSize',20);
 
 %% Optimization: Setup
 % Reset the random number generator in order to always obtain the same

COSSANXengine/src/optimization/@GeneticAlgorithms/apply.m

@@ -245,7 +245,11 @@
     Vindex=all(XoptGlobal.TablesValues.DesignVariables==XoptGlobal.VoptimalDesign,2);
     Mdataout=XoptGlobal.TablesValues.Constraints(Vindex);
     Vpos=find(all(~isnan(Mdataout),2));
-    XoptGlobal.VoptimalConstraints=Mdataout(Vpos(1),:);
+    if ~isempty(Vpos) > 0
+        XoptGlobal.VoptimalConstraints = Mdataout(Vpos(1),:);
+    else
+        XoptGlobal.VoptimalConstraints = NaN(1, length(Xop.Xconstraint));
+    end
 end
 
 Xoptimum=XoptGlobal;