def test_function(self):
from math import cos
from Goulib.math2 import vecmul, norm_2
class function(object):
def __init__(self):
self.x = None
self.n = 9
self.domain = [(-100, 100)] * self.n
self.optimizer = DifferentialEvolution(self,
population_size=100,
n_cross=5,
show_progress=True)
def target(self, vector):
result = (sum(map(cos, vecmul(vector, 10))) + self.n +
1) * norm_2(vector)
return result
def print_status(self, mins, means, vector, txt):
logging.info('%s %s %s %s' % (txt, mins, means, vector))
v = function()
logging.info('%s' % v.x)
assert_true(norm_2(v.x) < 1e-5)
def test_function(self):
from math import cos
from Goulib.math2 import vecmul, norm_2
class function(object):
def __init__(self):
self.x = None
self.n = 9
self.domain = [ (-100,100) ]*self.n
self.optimizer = DifferentialEvolution(
self,population_size=100,n_cross=5,
show_progress=True
)
def target(self, vector):
result = (sum(map(cos,vecmul(vector,10)))+self.n+1)*norm_2(vector)
return result
def print_status(self, mins,means,vector,txt):
logging.info('%s %s %s %s'%(txt,mins, means, vector))
v=function()
logging.info('%s'%v.x)
assert_true(norm_2(v.x)<1e-5)
def target(self, vector):
result = (sum(map(cos,vecmul(vector,10)))+self.n+1)*norm_2(vector)
return result
def target(self, vector):
result = (sum(map(cos, vecmul(vector, 10))) + self.n +
1) * norm_2(vector)
return result
