from utils.operators.basic import Operator as op
from utils.operators.modified import Operator as op_m
from utils.policies import Policy
from utils.test_functions import schaffer_2
import numpy as np
converter = Converter(type_='grey')
crossover = op.crossover()
mutator = op_m.Mutate.multi(3)
policies = {
'include': Policy.elitarium(),
'exclude': Policy.elitarium(),
'parents': Policy.random()
}
n = 100
eps = 0.
model = Elit(converter=converter,
policies=policies,
mutator=mutator,
crossover=crossover)
model.run(*(schaffer_2()),
epochs=5001,
n=50,
eps=eps,
optimize='min',
t=10,
verbose=True)
model.plot()
from utils.operators.modified import Operator as op_m
from utils.policies import Policy
from utils.test_functions import levi
import numpy as np
converter = Converter(type_='grey')
crossover = op.crossover()
mutator = op_m.Mutate.multi(3)
policies = {
'include': Policy.elitarium(),
'exclude': Policy.elitarium(),
'parents': Policy.random()
}
n = 100
eps = 1
model = Elit(converter=converter,
policies=policies,
mutator=mutator,
crossover=crossover)
model.run(*(levi()),
epochs=101,
n=20,
eps=eps,
optimize='min',
t=10,
verbose=True)
model.plot()
model.plot_graph()
import numpy as np
converter = Converter(type_='grey')
crossover = op.crossover()
mutator = op_m.Mutate.multi(3)
policies = {
'include': Policy.elitarium(),
'exclude': Policy.elitarium(),
'parents': Policy.random()
}
func = lambda x, y: x**2 + y**2
interval_x = interval_y = (-10, 11)
n = 100
eps = 1
model = Elit(converter=converter,
policies=policies,
mutator=mutator,
crossover=crossover)
model.run(func,
interval_x,
interval_y,
epochs=100,
n=20,
eps=eps,
optimize='min',
t=10,
verbose=True)
model.plot()
model.plot_graph()