def __init__(self):
Problem.__init__(self)
self.n_var = n_var
self.n_constr = n_constr
self.n_obj = n_obj
self.func = self._evaluate
self.xl = xl
self.xu = xu
def __init__(self):
Problem.__init__(self)
self.n_var = n_params
self.n_constr = 0
self.n_obj = 1
self.func = self.evaluate_
self.xl = 0.01 * np.ones(n_params)
self.xu = 20 * np.ones(n_params)
def __init__(self, n_var=1, **kwargs):
Problem.__init__(self, **kwargs)
self.n_var = n_var
self.n_constr = 0
self.n_obj = 1
self.func = self._evaluate
self.xl = 0 * np.ones(self.n_var)
self.xu = 10 * np.ones(self.n_var)
def __init__(self, n_var, thetaL, thetaU, func_likelihood):
Problem.__init__(self)
self.n_var = n_var
self.n_constr = 0
self.n_obj = 1
self.func_likelihood = func_likelihood
self.func = self.evaluate_
self.xl = thetaL
self.xu = thetaU
def __init__(self, name, n_var, n_obj, k=None):
Problem.__init__(self)
self.n_obj = n_obj
self.n_var = n_var
self.k = 2 * (self.n_obj - 1) if k is None else k
self.func = self._evaluate
self.xl = np.zeros(self.n_var)
self.xu = np.ones(self.n_var)
# function used to evaluate
self.func = self._evaluate
# the function pointing to the optproblems implementation
exec('import optproblems.wfg')
clazz, = eval('optproblems.wfg.%s' % name),
self._func = clazz(num_objectives=self.n_obj,
num_variables=self.n_var,
k=self.k)