Dynamic SMPSO

Example

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.observer import PlotFrontToFileObserver, WriteFrontToFileObserver
from jmetal.util.termination_criterion import StoppingByEvaluations

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('front_plot'))
algorithm.observable.register(observer=WriteFrontToFileObserver('front_files'))

algorithm.run()

API

class jmetal.algorithm.multiobjective.smpso.DynamicSMPSO(problem: jmetal.core.problem.DynamicProblem[jmetal.core.solution.FloatSolution][jmetal.core.solution.FloatSolution], swarm_size: int, mutation: jmetal.core.operator.Mutation, leaders: jmetal.util.archive.BoundedArchive, termination_criterion: jmetal.util.termination_criterion.TerminationCriterion = <jmetal.util.termination_criterion.StoppingByEvaluations object>, swarm_generator: jmetal.util.generator.Generator = <jmetal.util.generator.RandomGenerator object>, swarm_evaluator: jmetal.util.evaluator.Evaluator = <jmetal.util.evaluator.SequentialEvaluator object>)

Bases: jmetal.algorithm.multiobjective.smpso.SMPSO, jmetal.core.algorithm.DynamicAlgorithm

restart() → None

stopping_condition_is_met()

The stopping condition is met or not.

update_progress()

Update the progress after each iteration.