from examples.multiobjective.parallel.zdt1_modified import ZDT1Modified

from jmetal.algorithm.multiobjective.smpso import SMPSO
from jmetal.operator import PolynomialMutation
from jmetal.util.archive import CrowdingDistanceArchive
from jmetal.util.solutions import print_function_values_to_file, print_variables_to_file, SparkEvaluator
from jmetal.util.solutions import read_solutions
from jmetal.util.termination_criterion import StoppingByEvaluations

if __name__ == '__main__':
    problem = ZDT1Modified()
    problem.reference_front = read_solutions(filename='../../resources/reference_front/ZDT1.pf')

    max_evaluations = 100
    algorithm = SMPSO(
        problem=problem,
        swarm_size=10,
        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables, distribution_index=20),
        leaders=CrowdingDistanceArchive(10),
        termination_criterion=StoppingByEvaluations(max=max_evaluations),
        swarm_evaluator=SparkEvaluator(),
    )

    algorithm.run()
    front = algorithm.get_result()

    # 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))
