def test_Population_Constructor_Is_Valid(self):
"""
Test the validity of the Population constructor
"""
pops = p.Populations(self.__n_pop, self.__n_vars, self.__cost_func,
self.__domain_bounds)
self.assertIsNotNone(pops, self.__test_msg)
def __initialization(self):
"""
Initialization of the ACO algorithm
"""
pops = p.Populations(self.__n_pop, self.__n_vars, self.__cost_func, self.__domain_bounds)
self.__pops_sorted = pops.ant_populations
self.__final_best_solution = pops.best_population
self.__w = self.__computePdf()
self.__probs = self.__w/np.sum(self.__w)
self.__means = np.zeros((self.__n_pop, self.__n_vars))
self.__sigmas = np.zeros((self.__n_pop, self.__n_vars))
def test_Population_Initialization_Is_valid(self):
"""
Test the validity of the population initilaization
"""
pops = p.Populations(self.__n_pop, self.__n_vars, self.__cost_func,
self.__domain_bounds)
ant_populations = pops.ant_populations
ant_populations_best = pops.best_population
expected_n_pops = self.__n_pop
actual_n_pops = len(ant_populations)
self.assertIsNotNone(ant_populations, self.__test_msg)
self.assertEqual(expected_n_pops, actual_n_pops, self.__test_msg)
self.assertIsNotNone(ant_populations_best, self.__test_msg)
