Minor changes

examples/multiobjective/nsgaiii/nsgaiii_dtlz2.py

@@ -1,7 +1,8 @@
 from jmetal.algorithm.multiobjective.nsgaiii import NSGAIII, UniformReferenceDirectionFactory
 from jmetal.operator import SBXCrossover, PolynomialMutation
 from jmetal.problem import DTLZ2
-from jmetal.util.solution import read_solutions, print_function_values_to_file, print_variables_to_file
+from jmetal.util.solution import read_solutions, print_function_values_to_file, print_variables_to_file, \
+    get_non_dominated_solutions
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
 if __name__ == '__main__':
@@ -20,7 +21,7 @@
     )
 
     algorithm.run()
-    front = algorithm.get_result()
+    front = get_non_dominated_solutions(algorithm.get_result())
 
     # Save results to file
     print_function_values_to_file(front, 'FUN.' + algorithm.label)

examples/singleobjective/gde3/gde3_single_objective.py

@@ -1,5 +1,6 @@
 from jmetal.algorithm.multiobjective.gde3 import GDE3
 from jmetal.problem.singleobjective.unconstrained import Rastrigin
+from jmetal.util.observer import PrintObjectivesObserver
 from jmetal.util.solution import print_function_values_to_file, print_variables_to_file
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
@@ -11,7 +12,7 @@
         population_size=100,
         cr=0.5,
         f=0.5,
-        termination_criterion=StoppingByEvaluations(50000)
+        termination_criterion=StoppingByEvaluations(100000)
     )
 
     algorithm.run()

examples/singleobjective/genetic_algorithm/generational_genetic_algorithm_binary.py

@@ -1,21 +1,24 @@
 from jmetal.algorithm.singleobjective.genetic_algorithm import GeneticAlgorithm
 from jmetal.operator import BitFlipMutation, SPXCrossover, BinaryTournamentSelection
 from jmetal.problem import OneMax
+from jmetal.util.observer import PrintObjectivesObserver
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
 if __name__ == '__main__':
-    problem = OneMax(number_of_bits=1024)
+    problem = OneMax(number_of_bits=512)
 
     algorithm = GeneticAlgorithm(
         problem=problem,
-        population_size=100,
-        offspring_population_size=1,
+        population_size=40,
+        offspring_population_size=40,
         mutation=BitFlipMutation(1.0 / problem.number_of_bits),
         crossover=SPXCrossover(1.0),
         selection=BinaryTournamentSelection(),
         termination_criterion=StoppingByEvaluations(max_evaluations=20000)
     )
 
+    algorithm.observable.register(observer=PrintObjectivesObserver(100))
+
     algorithm.run()
     result = algorithm.get_result()
 

examples/singleobjective/genetic_algorithm/generational_genetic_algorithm_float.py

@@ -9,11 +9,11 @@
     algorithm = GeneticAlgorithm(
         problem=problem,
         population_size=100,
-        offspring_population_size=100,
+        offspring_population_size=1,
         mutation=PolynomialMutation(1.0 / problem.number_of_variables, 20.0),
-        crossover=SBXCrossover(0.9, 20.0),
+        crossover=SBXCrossover(0.9, 5.0),
         selection=BinaryTournamentSelection(),
-        termination_criterion=StoppingByEvaluations(max_evaluations=500000)
+        termination_criterion=StoppingByEvaluations(max_evaluations=100000)
     )
 
     algorithm.run()

examples/singleobjective/local_search/local_search_binary.py

@@ -1,11 +1,12 @@
 from jmetal.algorithm.singleobjective.local_search import LocalSearch
 from jmetal.operator import BitFlipMutation
 from jmetal.problem import OneMax
+from jmetal.util.observer import ProgressBarObserver, PrintObjectivesObserver
 from jmetal.util.solution import print_function_values_to_file, print_variables_to_file
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
 if __name__ == '__main__':
-    problem = OneMax(number_of_bits=1024)
+    problem = OneMax(number_of_bits=512)
 
     max_evaluations = 10000
     algorithm = LocalSearch(
@@ -14,6 +15,8 @@
         termination_criterion=StoppingByEvaluations(max_evaluations=max_evaluations)
     )
 
+    algorithm.observable.register(observer=PrintObjectivesObserver(100))
+
     algorithm.run()
     result = algorithm.get_result()
 

examples/singleobjective/local_search/local_search_float.py

@@ -1,13 +1,13 @@
 from jmetal.algorithm.singleobjective.local_search import LocalSearch
 from jmetal.operator import PolynomialMutation
-from jmetal.problem.singleobjective.unconstrained import Sphere
+from jmetal.problem.singleobjective.unconstrained import Sphere, Rastrigin
 from jmetal.util.solution import print_function_values_to_file, print_variables_to_file
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
 if __name__ == '__main__':
-    problem = Sphere(10)
+    problem = Rastrigin(10)
 
-    max_evaluations = 1000000
+    max_evaluations = 100000
 
     algorithm = LocalSearch(
         problem=problem,

examples/singleobjective/simulated_annealing/simulated_annealing_binary.py

@@ -5,9 +5,9 @@
 from jmetal.util.termination_criterion import StoppingByEvaluations
 
 if __name__ == '__main__':
-    problem = OneMax(number_of_bits=1024)
+    problem = OneMax(number_of_bits=512)
 
-    max_evaluations = 20000
+    max_evaluations = 10000
 
     algorithm = SimulatedAnnealing(
         problem=problem,

examples/singleobjective/simulated_annealing/simulated_annealing_float.py

@@ -7,7 +7,7 @@
 if __name__ == '__main__':
     problem = Rastrigin(10)
 
-    max_evaluations = 250000
+    max_evaluations = 100000
 
     algorithm = SimulatedAnnealing(
         problem=problem,