def __init__(self, random=False):
if random:
self.__x = [
rand.getrandbits(1) for _ in range(0, get_number_of_inputs())
]
else:
self.__x = [0] * get_number_of_inputs()
self.__fitness = None
self.tpr = .0
self.fpr = .0
def __init__(self, random=False):
if random:
self.__x = [
rand.uniform(L, U) for _ in range(0, get_number_of_inputs())
]
self.__v = [
rand.uniform(0, 1) for _ in range(0, get_number_of_inputs())
]
else:
self.__x = [.0] * get_number_of_inputs()
self.__v = [.0] * get_number_of_inputs()
self.__fitness = None
self.tpr = .0
self.fpr = .0
def mutate(self, prop):
self.__x = [
self.__x[i] if prop <= rand.uniform(0, 1) else self.__x[i] +
R * rand.uniform(-1, 1) for i in range(0, get_number_of_inputs())
]
self.__fitness = None
return self
def update_velocity_and_path(self, pg, t):
v = cos_sim(pg.__x, self.__x)
self.__x = [
self.__x[i] if v > rand.uniform(0, 1) else pg.__x[i]
for i in range(0, get_number_of_inputs())
]
self.__fitness = None
return self
def fitness(self):
if not self.__fitness:
self.tpr, self.fpr, n = calc_fitness(self.__x)
if n == 0:
return float("inf")
a = AW * (1.0 / self.tpr)
b = BW * self.fpr
c = CW * (n / get_number_of_inputs())
self.__fitness = a + b + c
return self.__fitness
def update_velocity_and_path(self, pg, t):
self.__v = [
(vi * exp(-R * t) + rand.uniform(0, 1) * (pg.__x[i] - self.__x[i]))
for i, vi in enumerate(self.__v)
]
for i in range(0, get_number_of_inputs()):
s = 1.0 / (1.0 + exp(-self.__v[i] / 2))
self.__x[i] = 1 if s > rand.uniform(0, 1) else 0
self.__fitness = None
return self
def update_path(self, xc):
self.__x = [
self.__x[i] if xc[i] > rand.uniform(0, 1) else (1 - self.__x[i])
for i in range(0, get_number_of_inputs())
]
self.__fitness = None