termination_criterion=StoppingByEvaluations(max=max_evaluations),
dominance_comparator=DominanceComparator())
algorithm.observable.register(observer=ProgressBarObserver(
max=max_evaluations))
algorithm.observable.register(observer=VisualizerObserver(
reference_front=problem.reference_front))
algorithm.run()
front = algorithm.get_result()
label = algorithm.get_name() + "." + problem.get_name()
algorithm_name = label
# Plot front
plot_front = Plot(plot_title='Pareto front approximation',
axis_labels=problem.obj_labels)
plot_front.plot(front, label=label, filename=algorithm_name)
# Plot interactive front
plot_front = InteractivePlot(plot_title='Pareto front approximation',
axis_labels=problem.obj_labels)
plot_front.plot(front, label=label, filename=algorithm_name)
# Save results to file
print_function_values_to_file(front, 'FUN.' + label)
print_variables_to_file(front, 'VAR.' + label)
print('Algorithm (continuous problem): ' + algorithm.get_name())
print('Problem: ' + problem.get_name())
print('Computing time: ' + str(algorithm.total_computing_time))
algorithm.observable.register(
observer=VisualizerObserver(reference_front=problem.reference_front,
reference_point=(reference_point)))
algorithm.run()
front = algorithm.get_result()
# Plot front
plot_front = Plot(plot_title='Pareto front approximation',
axis_labels=problem.obj_labels,
reference_point=reference_point,
reference_front=problem.reference_front)
plot_front.plot(front, label='gNSGAII-ZDT1', filename='gNSGAII-ZDT1')
# Plot interactive front
plot_front = InteractivePlot(plot_title='Pareto front approximation',
axis_labels=problem.obj_labels,
reference_point=reference_point,
reference_front=problem.reference_front)
plot_front.plot(front, label='gNSGAII-ZDT1', filename='gNSGAII-ZDT1')
# Save results to file
print_function_values_to_file(
front, 'FUN.' + algorithm.get_name() + "." + problem.get_name())
print_variables_to_file(
front, 'VAR.' + algorithm.get_name() + "." + problem.get_name())
print('Algorithm (continuous problem): ' + algorithm.get_name())
print('Problem: ' + problem.get_name())
print('Computing time: ' + str(algorithm.total_computing_time))
algorithm.observable.register(
observer=VisualizerObserver(reference_front=problem.reference_front,
reference_point=reference_point))
algorithm.run()
front = algorithm.get_result()
# Plot front
plot_front = Plot(plot_title='SMPSORP-ZDT1',
reference_front=problem.reference_front,
reference_point=algorithm.reference_points,
axis_labels=problem.obj_labels)
plot_front.plot(algorithm.get_result(), filename='SMPSORP-ZDT1')
# Plot interactive front
plot_front = InteractivePlot(plot_title='SMPSORP-ZDT1',
reference_front=problem.reference_front,
reference_point=algorithm.reference_points,
axis_labels=problem.obj_labels)
plot_front.plot(front, filename='SMPSORP-ZDT1')
# Save results to file
print_function_values_to_file(
front, 'FUN.' + algorithm.get_name() + "." + problem.get_name())
print_variables_to_file(
front, 'VAR.' + algorithm.get_name() + "." + problem.get_name())
print('Algorithm (continuous problem): ' + algorithm.get_name())
print('Problem: ' + problem.get_name())
print('Computing time: ' + str(algorithm.total_computing_time))