def test_GSO_with_report_in_file_and_saving_intermediary_files(self):
objective_function = J5()
self.gso_parameters.initial_vision_range = 3.0
self.gso_parameters.max_vision_range = 3.0
bounding_box = BoundingBox(
[Boundary(-2.0 * pi, 2.0 * pi),
Boundary(-2.0 * pi, 2.0 * pi)])
number_of_glowworms = 5
random_number_generator = MTGenerator(324324)
builder = GSOBuilder()
gso = builder.create_from_file(
number_of_glowworms, random_number_generator, self.gso_parameters,
objective_function, bounding_box,
self.golden_data_path + 'initial_positions_redux.txt')
gso.run(5,
saving_path=self.test_path,
save_intermediary=True,
save_all_intermediary=True)
for i in range(5):
assert os.path.exists(self.test_path + 'gso_%d.out' % (i + 1))
gso.report(self.test_path + 'report.out')
lines = open(self.test_path + 'report.out').readlines()
assert 14 == len(lines)
def test_GSO_with_report(self):
objective_function = J5()
self.gso_parameters.initial_vision_range = 3.0
self.gso_parameters.max_vision_range = 3.0
bounding_box = BoundingBox(
[Boundary(-2.0 * pi, 2.0 * pi),
Boundary(-2.0 * pi, 2.0 * pi)])
number_of_glowworms = 5
random_number_generator = MTGenerator(324324)
builder = GSOBuilder()
gso = builder.create(number_of_glowworms, random_number_generator,
self.gso_parameters, objective_function,
bounding_box)
gso.run(5)
report = gso.report()
assert 14 == len(report.split(os.linesep))
assert str(gso) == report
def test_GSO_with_J5(self):
objective_function = J5()
self.gso_parameters.initial_vision_range = 3.0
self.gso_parameters.max_vision_range = 3.0
bounding_box = BoundingBox(
[Boundary(-2.0 * pi, 2.0 * pi),
Boundary(-2.0 * pi, 2.0 * pi)])
number_of_glowworms = 100
random_number_generator = MTGenerator(324324)
builder = GSOBuilder()
gso = builder.create(number_of_glowworms, random_number_generator,
self.gso_parameters, objective_function,
bounding_box)
gso.run(70)
# Save last step
gso.swarm.save(70, self.test_path, 'gso_j5_70.out')
assert filecmp.cmp(self.test_path + 'gso_j5_70.out',
self.golden_data_path + 'gso_j5_70.out')
def test_compute_J1_matrix(self):
j5 = J5()
for i in range(15):
for j in range(15):
assert_equals(self.expected_values[i][j], j5(Coordinates([-6.24+j*0.89143, -6.24+i*0.89143])))