def run_DynamicNSGAII(problems):
for problem in problems:
time_counter = TimeCounter(delay=1)
time_counter.observable.register(problem[1])
time_counter.start()
max_evaluations = 25000
algorithm = DynamicNSGAII(
problem=problem[1],
population_size=100,
offspring_population_size=100,
mutation=PolynomialMutation(probability=1.0 / problem[1].number_of_variables, distribution_index=20),
crossover=SBXCrossover(probability=1.0, distribution_index=20),
termination_criterion=StoppingByEvaluations(max_evaluations=max_evaluations),
)
algorithm.observable.register(observer=ProgressBarObserver(max=max_evaluations))
algorithm.observable.register(observer=VisualizerObserver())
algorithm.observable.register(observer=PlotFrontToFileObserver(problem[0] + "_dynamic_front_vis"))
algorithm.observable.register(observer=WriteFrontToFileObserver(problem[0] + "_dynamic_front"))
#algorithm.observable.register(observer=BasicObserver())
algorithm.run()
front = algorithm.get_result()
non_dominated_solutions = get_non_dominated_solutions(front)
# save to files
print_function_values_to_file(front, 'FUN.DYNAMICNSGAII.' + problem[0])
print_variables_to_file(front, 'VAR.DYNAMICNSGAII.' + problem[0])
# Plot
plot_front = Plot(title='Pareto front approximation', axis_labels=['x', 'y'])
plot_front.plot(front, label='DynamicNSGAII-FDA2', filename='DYNAMICNSGAII-'+problem[0], format='png')
from jmetal.algorithm.multiobjective.gde3 import DynamicGDE3
from jmetal.problem.multiobjective.fda import FDA2
from jmetal.util.observable import TimeCounter
from jmetal.util.observer import WriteFrontToFileObserver, PlotFrontToFileObserver
from jmetal.util.termination_criterion import StoppingByEvaluations
if __name__ == '__main__':
problem = FDA2()
time_counter = TimeCounter(delay=1)
time_counter.observable.register(problem)
time_counter.start()
algorithm = DynamicGDE3(
problem=problem,
population_size=100,
cr=0.5,
f=0.5,
termination_criterion=StoppingByEvaluations(max=500))
algorithm.observable.register(
observer=PlotFrontToFileObserver('dynamic_front_vis'))
algorithm.observable.register(
observer=WriteFrontToFileObserver('dynamic_front'))
algorithm.run()
from jmetal.util.observer import PlotFrontToFileObserver, WriteFrontToFileObserver
from jmetal.algorithm.multiobjective.smpso import DynamicSMPSO
from jmetal.operator import PolynomialMutation
from jmetal.problem.multiobjective.fda import FDA2
from jmetal.util.archive import CrowdingDistanceArchive
from jmetal.util.observable import TimeCounter
from jmetal.util.termination_criterion import StoppingByEvaluations
if __name__ == '__main__':
problem = FDA2()
time_counter = TimeCounter(delay=15)
time_counter.observable.register(problem)
time_counter.start()
max_evaluations = 25000
algorithm = DynamicSMPSO(
problem=problem,
swarm_size=100,
mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables, distribution_index=20),
leaders=CrowdingDistanceArchive(100),
termination_criterion=StoppingByEvaluations(max=max_evaluations)
)
algorithm.observable.register(observer=PlotFrontToFileObserver('dynamic_front_vis'))
algorithm.observable.register(observer=WriteFrontToFileObserver('dynamic_front'))
algorithm.run()
from jmetal.algorithm.multiobjective.gde3 import DynamicGDE3
from jmetal.problem.multiobjective.fda import FDA2
from jmetal.util.observable import TimeCounter
from jmetal.util.observer import PlotFrontToFileObserver, WriteFrontToFileObserver
from jmetal.util.termination_criterion import StoppingByEvaluations
if __name__ == "__main__":
problem = FDA2()
time_counter = TimeCounter(delay=1)
time_counter.observable.register(problem)
time_counter.start()
algorithm = DynamicGDE3(
problem=problem,
population_size=100,
cr=0.5,
f=0.5,
termination_criterion=StoppingByEvaluations(max_evaluations=500),
)
algorithm.observable.register(
observer=PlotFrontToFileObserver("dynamic_front_vis"))
algorithm.observable.register(
observer=WriteFrontToFileObserver("dynamic_front"))
algorithm.run()