diff --git a/examples/multiobjective/nsgaii/gnsgaii_solving_zdt2_with_reference_point.py b/examples/multiobjective/nsgaii/gnsgaii_solving_zdt2_with_reference_point.py
index 1deba311..8c316ec9 100644
--- a/examples/multiobjective/nsgaii/gnsgaii_solving_zdt2_with_reference_point.py
+++ b/examples/multiobjective/nsgaii/gnsgaii_solving_zdt2_with_reference_point.py
@@ -24,7 +24,7 @@
         problem=problem,
         population_size=100,
         offspring_population_size=100,
-        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables, distribution_index=20),
+        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables(), distribution_index=20),
         crossover=SBXCrossover(probability=1.0, distribution_index=20),
         dominance_comparator=GDominanceComparator(reference_point),
         termination_criterion=StoppingByEvaluations(max_evaluations=max_evaluations)
@@ -38,12 +38,12 @@
     front = algorithm.result()
 
     # Plot front
-    plot_front = Plot(title='Pareto front approximation. Problem: ' + problem.get_name(),
+    plot_front = Plot(title='Pareto front approximation. Problem: ' + problem.name(),
                       reference_front=problem.reference_front, axis_labels=problem.obj_labels)
     plot_front.plot(front, label=algorithm.label, filename=algorithm.get_name())
 
     # Plot interactive front
-    plot_front = InteractivePlot(title='Pareto front approximation. Problem: ' + problem.get_name(),
+    plot_front = InteractivePlot(title='Pareto front approximation. Problem: ' + problem.name(),
                                  reference_front=problem.reference_front, axis_labels=problem.obj_labels)
     plot_front.plot(front, label=algorithm.label, filename=algorithm.get_name())
 
diff --git a/src/jmetal/lab/experiment.py b/src/jmetal/lab/experiment.py
index dc8de35a..9529352f 100644
--- a/src/jmetal/lab/experiment.py
+++ b/src/jmetal/lab/experiment.py
@@ -839,7 +839,7 @@ def __kolmogorov_smirnov_to_latex(indicator_name: str, test_data: pd.DataFrame,
     num_columns = len(algorithms)
     columns = algorithms
 
-    alignment = "c"
+    alignment = "c" 
     col_format = "{}|{}".format(alignment, alignment * num_columns)
     column_labels = ["\\textbf{{{0}}}".format(label.replace("_", "\\_")) for label in columns]