def test_change_objective_function(self):
single_objective_heuristic = HeuristicOptimization(
model=self.model,
objective_function=self.single_objective_function,
)
nok = number_of_knockouts()
single_objective_heuristic.objective_function = nok
self.assertEqual(nok, single_objective_heuristic.objective_function)
self.assertFalse(single_objective_heuristic.is_mo())
self.assertRaises(TypeError,
single_objective_heuristic.objective_function,
self.multiobjective_function)
single_objective_heuristic.objective_function = [nok]
self.assertEqual(nok, single_objective_heuristic.objective_function)
self.assertFalse(single_objective_heuristic.is_mo())
self.assertRaises(TypeError, single_objective_heuristic.objective_function, self.multiobjective_function)
multiobjective_heuristic = HeuristicOptimization(
model=self.model,
objective_function=self.multiobjective_function,
heuristic_method=inspyred.ec.emo.NSGA2
)
multiobjective_heuristic.objective_function = nok
self.assertEqual(len(multiobjective_heuristic.objective_function), 1)
self.assertEqual(multiobjective_heuristic.objective_function[0], nok)
self.assertTrue(multiobjective_heuristic.is_mo())
def test_single_objective_function_with_multiobjective_initializer(self):
heuristic_optimization = HeuristicOptimization(
model=self.model,
objective_function=self.single_objective_function,
heuristic_method=inspyred.ec.emo.NSGA2
)
self.assertEqual(len(heuristic_optimization.objective_function), 1)
def test_default_initializer(self):
heuristic_optimization = HeuristicOptimization(
model=self.model,
objective_function=self.single_objective_function
)
self.assertIsNone(heuristic_optimization._generator)
self.assertIsNot(heuristic_optimization.seed, SEED)
self.assertEqual(heuristic_optimization.model, self.model)
self.assertEqual(heuristic_optimization.objective_function, self.single_objective_function)
heuristic_optimization = HeuristicOptimization(
model=self.model,
objective_function=self.single_objective_function,
seed=SEED
)
self.assertIsNone(heuristic_optimization._generator)
self.assertEqual(heuristic_optimization.seed, SEED)
self.assertEqual(heuristic_optimization.model, self.model)
self.assertEqual(heuristic_optimization.objective_function, self.single_objective_function)
def test_multiobjective_initializer(self):
heuristic_optimization = HeuristicOptimization(
model=self.model,
objective_function=self.multiobjective_function,
heuristic_method=inspyred.ec.emo.NSGA2
)
self.assertIsNone(heuristic_optimization._generator)
self.assertIsNot(heuristic_optimization.seed, SEED)
self.assertEqual(heuristic_optimization.model, self.model)
self.assertEqual(len(heuristic_optimization.objective_function), 2)
heuristic_optimization = HeuristicOptimization(
model=self.model,
objective_function=self.multiobjective_function,
heuristic_method=inspyred.ec.emo.NSGA2,
seed=SEED
)
self.assertIsNone(heuristic_optimization._generator)
self.assertEqual(heuristic_optimization.seed, SEED)
self.assertEqual(heuristic_optimization.model, self.model)
self.assertEqual(len(heuristic_optimization.objective_function), 2)
def test_change_heuristic_method(self):
single_objective_heuristic = HeuristicOptimization(
model=self.model,
objective_function=self.single_objective_function,
)
single_objective_heuristic.heuristic_method = inspyred.ec.emo.NSGA2
self.assertTrue(single_objective_heuristic.is_mo())
self.assertEqual(len(single_objective_heuristic.objective_function), 1)
multiobjective_heuristic = HeuristicOptimization(
model=self.model,
objective_function=self.multiobjective_function,
heuristic_method=inspyred.ec.emo.NSGA2
)
self.assertRaises(TypeError, multiobjective_heuristic.heuristic_method, inspyred.ec.GA)
multiobjective_heuristic.objective_function = self.single_objective_function
multiobjective_heuristic.heuristic_method = inspyred.ec.GA
self.assertFalse(multiobjective_heuristic.is_mo())