def test_repair_fine(self):
s = Individual(x=full(self.D, 100))
self.assertFalse(self.task.isFeasible(s.x))
s.repair(self.task)
self.assertTrue(self.task.isFeasible(s.x))
def test_eq_fine(self):
self.assertFalse(self.s1 == self.s2)
self.assertTrue(self.s1 == self.s1)
s = Individual(x=self.s1.x)
self.assertTrue(s == self.s1)
def __init__(self, **kwargs):
Individual.__init__(self, **kwargs)
self.f_pb, self.x_pb = self.f, self.x
self.MonkeyKing = False
def __init__(self, **kwargs):
Individual.__init__(self, **kwargs)
self.F, self.CR = kwargs.get('F', 2), kwargs.get('CR', 0.5)
def setUp(self):
self.D = 20
self.x, self.task = rnd.uniform(-100, 100, self.D), StoppingTask(
D=self.D, nFES=230, nGEN=inf, benchmark=MyBenchmark())
self.s1, self.s2, self.s3 = Individual(x=self.x, e=False), Individual(
task=self.task, rand=rnd), Individual(task=self.task)
def __init__(self, **kwargs):
task, x, rho = kwargs.get('task', None), kwargs.get('x', None), kwargs.get('rho', 1)
if rho != None: self.rho = rho
elif task != None or x != None: self.rho = 1.0
Individual.__init__(self, **kwargs)
def __init__(self, task, rand):
Individual.__init__(self, task=task, e=False, rand=rand)
def __init__(self, task):
Individual.__init__(self, task=task, e=False)
def runTask(self, task): pop = [Individual(task=task, rand=self.Rand) for _i in range(self.NP)] x_b = pop[argmin([c.f for c in pop])] while not task.stopCond(): pop, x_b = self.evolve(pop, x_b, task) return x_b.x, x_b.f
def setUp(self): self.D = 20 self.x, self.task = rnd.uniform(-100, 100, self.D), Task(self.D, 230, None, MyBenchmark()) self.s1, self.s2, self.s3 = Individual(x=self.x), Individual(task=self.task, rand=rnd), Individual(task=self.task)
def multiMutations(self, pop, i, x_b, task): L = [Individual(x=strategy(pop, i, x_b, self.F, self.CR, rnd=self.Rand), task=task, e=True, rand=self.Rand) for strategy in self.strategys] return L[argmin([x.f for x in L])]
def __init__(self, **kwargs): Individual.__init__(self, **kwargs) self.age = 0
def __init__(self, weight, **kwargs):
Individual.__init__(self, **kwargs)
self.weight = weight
self.delta_pos = np.nan
self.delta_cost = np.nan
self.has_improved = False
def __init__(self, SR, grade=0, enable=True, improved=False, **kwargs):
Individual.__init__(self, **kwargs)
self.SR, self.grade, self.enable, self.improved = SR, grade, enable, improved
