from jmetal.algorithm.multiobjective.nsgaii import NSGAII
from jmetal.lab.visualization import InteractivePlot, Plot
from jmetal.operator import SBXCrossover, PolynomialMutation
from jmetal.problem import ZDT1
from jmetal.util.observer import ProgressBarObserver, VisualizerObserver
from jmetal.util.solution import read_solutions, print_function_values_to_file, \
print_variables_to_file
from jmetal.util.termination_criterion import StoppingByEvaluations
"""
Program to configure and run the steady-state NSGA-II algorithm with a real-time plotting observer. The display
update frequency is set to 100 evaluations.
"""
if __name__ == '__main__':
problem = ZDT1()
problem.reference_front = read_solutions(
filename='resources/reference_front/ZDT1.pf')
max_evaluations = 25000
algorithm = NSGAII(problem=problem,
population_size=100,
offspring_population_size=1,
mutation=PolynomialMutation(probability=1.0 /
problem.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(
algorithm = [(NSGAII, {
'population_size':
100,
'max_evaluations':
25000,
'mutation':
NullMutation(),
'crossover':
SBX(1.0, 20),
'selection':
BinaryTournamentSelection(RankingAndCrowdingDistanceComparator())
}),
(NSGAII(population_size=100,
max_evaluations=25000,
mutation=NullMutation(),
crossover=SBX(1.0, 20),
selection=BinaryTournamentSelection(
RankingAndCrowdingDistanceComparator()),
problem=ZDT1()), {}),
(SMPSO, {
'swarm_size': 100,
'max_evaluations': 25000,
'mutation': NullMutation(),
'leaders': CrowdingDistanceArchive(100)
})]
metric = [HyperVolume(reference_point=[1, 1])]
problem = [(ZDT1, {}), (ZDT2, {})]
results = experiment(algorithm, metric, problem)
display(results)
