UnGenetico/dataclass_test.py at master · ardelgadillov/UnGenetico · GitHub

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import ungenetico as ung
import math
from statistics import mean


# def obj_expression(z, x, y, m):
#     return sum(x) * y * z + m
#
#
# a = ung.GeneInt('x', min_val=1, max_val=11, length=10, mutation_operator=ung.MutationNotUniform())
# print(a)
# a.name = 'y'
# print(a)
# a2 = ung.GeneInt('y', min_val=1.1, max_val=10.9, mutation_operator=ung.MutationUniform())
# a3 = ung.GeneBool('z')
# a4 = ung.GeneFloat('m', min_val=1.1, max_val=10.9, mutation_operator=ung.MutationNotUniform())
# print(a2)
# print(a3)
# print(a3.min_val)
# print(a3.max_val)
# print(a4)
#
# ga = ung.GeneticAlgorithm(objective_function=obj_expression)
#
# print(ga)
# ga.add_gen(a)
# ga.add_gen(a2)
# ga.add_gen(a3)
# ga.add_gen(a4)
# ga.create_population(3)
# for ind in ga.actual_generation.population:
#     print(ind)
#     for gen in ind.genome:
#         print(gen.value)
#
# ga.mutate()
#
# ga.calculate_objective_function()
# for ind in ga.actual_generation.population:
#     for gen in ind.genome:
#         print(gen.value)
#     print(f'objective: {ind.objective_value}')
# #
# for _ in range(10):
#     a3.mutate(ga)
#     print(a3)
#
# print(ga.actual_generation.size)
# ga.assign_probability()
# ga.actual_generation.sort_population('descending', 'survival_probability')
# for ind in ga.actual_generation.population:
#     print(ind.survival_probability)
# #
# ga.select()
# ga.match()
# print(ga.actual_generation)
# ga.reproduce()
# print(ga.actual_generation)
# #print(ga.actual_generation)

# -------------------
def obj_expression(x):
    of = 0
    for xi in x:
        of += xi
    return of


ga = ung.GeneticAlgorithm(objective_function=obj_expression,
                          optimization='maximization',
                          generation_max=100,
                          generation_size=100,
                          probability_operator=ung.ProbabilityLineal(),
                          pairing_operator=ung.PairingExtremes(),
                          reproduction_operator=ung.ReproductionBestBetweenParentsChildren())
ga.add_gen(ung.GeneFloat('x', -10, 10, length=25, crossover_operator=ung.CrossoverBLX()))
ga.optimize()

# ga.create_population(10)
# ga.mutate()
# # print(ga)
# for _ in range(3):
#     print(f'----------{_}')
#     ga.calculate_objective_function()
#     ga.assign_probability()
#     ga.select()
#     ga.match()
#     ga.reproduce()
#     ga.calculate_objective_function()
#     print(ga.objective_mean)
#     # ga.mutate()
#     # ga.calculate_objective_function()
#     # #of = [ind.objective_value for ind in ga.actual_generation.population]
#     # #print(of)
#     # print(ga.objective_mean)
# #print(ga)