def build_problems(self):
self.us = [self.u1, self.u2, self.u3]
self.ws = [self.w1, self.w2, self.w3]
temp = sum(self.used_components)
if temp == 1:
return self.defuzz_not_none()
u_problem, w_problem = Problem(1, temp), Problem(1, temp)
u_universe, w_universe = self.universe_not_none()
u_problem.types[:] = Subset(u_universe, 1)
w_problem.types[:] = Subset(w_universe, 1)
u_problem.directions[:] = Problem.MAXIMIZE
w_problem.directions[:] = Problem.MAXIMIZE
u_problem.function, w_problem.function = self.u_function, self.w_function
return u_problem, w_problem
def __init__(self):
super(Operwa, self).__init__(1, 2)
self.types[:] = Subset(tuple_junctions, nr_wwtp)
print('tuple_junctions', tuple_junctions)
self.directions[0] = Problem.MAXIMIZE
self.directions[1] = Problem.MAXIMIZE
self._maria_sols = []
self._maria_coords = []
self._iteration = 0
def __init__(self, sizes):
super(Candidates, self).__init__(len(sizes), 2, function=self.function)
self.types[:] = [Subset(range(n), 1) for n in sizes]
self.directions[:] = [Problem.MINIMIZE, Problem.MAXIMIZE]
self.n_vertices = sizes
self.inference_samples = None
self.partition_samples = None
self.seen = set()
def __init__(self):
super(BOCNDP, self).__init__(1, 2)
self.types[:] = Subset(list(G), k)
self.directions[0] = Problem.MAXIMIZE
self.directions[1] = Problem.MINIMIZE
def __init__(self):
super(CNDP, self).__init__(1, 1)
self.types[:] = Subset(list(G), k)
def to_variables(self):
return [Subset(self.options, self.size)]