GDE3

GDE3 (Generalized Differential Evolution 3) extends differential evolution to multi-objective problems using non-dominated sorting and crowding distance for selection.

from jmetal.algorithm.multiobjective.gde3 import GDE3
from jmetal.problem import ZDT1
from jmetal.util.solution import (
    print_function_values_to_file,
    print_variables_to_file,
    read_solutions,
)
from jmetal.util.termination_criterion import StoppingByEvaluations

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

    algorithm = GDE3(
        problem=problem,
        population_size=100,
        cr=0.5,
        f=0.5,
        termination_criterion=StoppingByEvaluations(max_evaluations=25000),
    )

    algorithm.run()
    front = algorithm.result()

    # Save results to file
    print_function_values_to_file(front, "FUN." + algorithm.label)
    print_variables_to_file(front, "VAR." + algorithm.label)

    print(f"Algorithm: {algorithm.get_name()}")
    print(f"Problem: {problem.name()}")
    print(f"Computing time: {algorithm.total_computing_time}")

See examples/multiobjective/gde3/ for more GDE3 examples (dynamic problems, Spark evaluator).