from jmetal.util.solutions_utils import read_solutions, print_function_values_to_file, print_variables_to_file
from jmetal.util.termination_criterion import StoppingByEvaluations
if __name__ == '__main__':
problem = LZ09_F2()
problem.reference_front = read_solutions(filename='resources/reference_front/LZ09_F2.pf')
max_evaluations = 150000
algorithm = MOEAD_DRA(
problem=problem,
population_size=300,
crossover=DifferentialEvolutionCrossover(CR=1.0, F=0.5, K=0.5),
mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables, distribution_index=20),
aggregative_function=Tschebycheff(dimension=problem.number_of_objectives),
neighbor_size=20,
neighbourhood_selection_probability=0.9,
max_number_of_replaced_solutions=2,
weight_files_path='resources/MOEAD_weights',
termination_criterion=StoppingByEvaluations(max=max_evaluations)
)
algorithm.observable.register(observer=ProgressBarObserver(max=max_evaluations))
algorithm.observable.register(
observer=VisualizerObserver(reference_front=problem.reference_front, display_frequency=1000))
algorithm.run()
front = algorithm.get_result()
# Plot front
plot_front = Plot(plot_title='Pareto front approximation', reference_front=problem.reference_front,
if __name__ == "__main__":
problem = UF1()
problem.reference_front = read_solutions(
filename="resources/reference_front/UF1.pf")
max_evaluations = 300000
algorithm = MOEAD_DRA(
problem=problem,
population_size=600,
crossover=DifferentialEvolutionCrossover(CR=1.0, F=0.5),
mutation=PolynomialMutation(probability=1.0 /
problem.number_of_variables,
distribution_index=20),
aggregative_function=Tschebycheff(
dimension=problem.number_of_objectives),
neighbor_size=20,
neighbourhood_selection_probability=0.9,
max_number_of_replaced_solutions=2,
weight_files_path="resources/MOEAD_weights",
termination_criterion=StoppingByEvaluations(
max_evaluations=max_evaluations),
)
algorithm.run()
front = algorithm.get_result()
hypervolume = HyperVolume([2.0, 2.0])
print("Hypervolume: " + str(
hypervolume.compute([front[i].objectives for i in range(len(front))])))