from jmetal.problem.singleobjective.unconstrained import Rastrigin
from jmetal.util.observer import PrintObjectivesObserver
from jmetal.util.solution_list import print_function_values_to_file, print_variables_to_file
from jmetal.util.termination_criterion import StoppingByEvaluations
if __name__ == '__main__':
problem = Rastrigin(10)
max_evaluations = 100000
algorithm = LocalSearch(
problem=problem,
mutation=PolynomialMutation(1.0 / problem.number_of_variables, 20.0),
termination_criterion=StoppingByEvaluations(max=max_evaluations)
)
objectives_observer = PrintObjectivesObserver(frequency=1000)
algorithm.observable.register(observer=objectives_observer)
algorithm.run()
result = algorithm.get_result()
# Save results to file
print_function_values_to_file(result, 'FUN.'+ algorithm.get_name() + "." + problem.get_name())
print_variables_to_file(result, 'VAR.' + algorithm.get_name() + "." + problem.get_name())
print('Algorithm: ' + algorithm.get_name())
print('Problem: ' + problem.get_name())
print('Solution: ' + str(result.variables))
print('Fitness: ' + str(result.objectives[0]))
print('Computing time: ' + str(algorithm.total_computing_time))
if __name__ == '__main__':
problem = Rastrigin(10)
max_evaluations = 50000
algorithm = NSGAII(
problem=problem,
population_size=100,
offspring_population_size=100,
mutation=PolynomialMutation(probability=1.0 /
problem.number_of_variables,
distribution_index=20.0),
crossover=SBXCrossover(probability=0.9, distribution_index=20.0),
termination_criterion=StoppingByEvaluations(max=max_evaluations),
dominance_comparator=DominanceComparator())
algorithm.observable.register(observer=PrintObjectivesObserver(1000))
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))
from jmetal.algorithm.singleobjective.genetic_algorithm import GeneticAlgorithm
from jmetal.operator import BitFlipMutation, SPXCrossover, BinaryTournamentSelection
from jmetal.problem import OneMax
from jmetal.util.observer import PrintObjectivesObserver
from jmetal.util.termination_criterion import StoppingByEvaluations
if __name__ == '__main__':
problem = OneMax(number_of_bits=1024)
algorithm = GeneticAlgorithm(
problem=problem,
population_size=100,
offspring_population_size=100,
mutation=BitFlipMutation(1.0 / problem.number_of_bits),
crossover=SPXCrossover(1.0),
selection=BinaryTournamentSelection(),
termination_criterion=StoppingByEvaluations(max=20000))
algorithm.observable.register(observer=PrintObjectivesObserver(
frequency=1000))
algorithm.run()
result = algorithm.get_result()
print('Algorithm: {}'.format(algorithm.get_name()))
print('Problem: {}'.format(problem.get_name()))
print('Solution: ' + result.get_binary_string())
print('Fitness: ' + str(result.objectives[0]))
print('Computing time: {}'.format(algorithm.total_computing_time))