class GSOBuilder(object):
"""Builds a generic GSO simulation object.
The GSO object can be created using random initial positions for the
glowworms (create function) or using initial positions read from a given file
(create_from_file function).
"""
def __init__(self):
self._initializer = None
def create(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box):
"""Creates a new GSO instance of the algorithm"""
self._initializer = RandomInitializer([objective_function], number_of_glowworms, gso_parameters,
bounding_box, random_number_generator)
return GSO(self._initializer.generate_glowworms(), gso_parameters, random_number_generator)
def create_from_file(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box, initial_population_file):
"""Creates a new GSO instance of the algorithm reading the initial position of the glowworms
agents from initial_population_file.
"""
self._initializer = FromFileInitializer([objective_function], number_of_glowworms,
gso_parameters, bounding_box.dimension,
initial_population_file)
return GSO(self._initializer.generate_glowworms(), gso_parameters,
random_number_generator, initial_population_file)
class GSOBuilder(object):
"""Builds a generic GSO simulation object.
The GSO object can be created using random initial positions for the
glowworms (create function) or using initial positions read from a given file
(create_from_file function).
"""
def __init__(self):
self._initializer = None
def create(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box):
"""Creates a new GSO instance of the algorithm"""
self._initializer = RandomInitializer([objective_function], number_of_glowworms, gso_parameters,
bounding_box, random_number_generator)
return GSO(self._initializer.generate_glowworms(), gso_parameters, random_number_generator)
def create_from_file(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box, initial_population_file):
"""Creates a new GSO instance of the algorithm reading the initial position of the glowworms
agents from initial_population_file.
"""
self._initializer = FromFileInitializer([objective_function], number_of_glowworms,
gso_parameters, bounding_box.dimension,
initial_population_file)
return GSO(self._initializer.generate_glowworms(), gso_parameters,
random_number_generator, initial_population_file)
def test_generate_landscape_positions_num_glowworms_different(self):
objective_function = J1()
gso_parameters = GSOParameters()
number_of_glowworms = 50
initializer = FromFileInitializer([objective_function], number_of_glowworms, gso_parameters,
2, self.golden_data_path+'initial_positions_redux.txt')
swarm = initializer.generate_glowworms()
assert swarm.get_size() > 0
def test_generate_landscape_positions_num_glowworms_different(self):
objective_function = J1()
gso_parameters = GSOParameters()
number_of_glowworms = 50
initializer = FromFileInitializer(
[objective_function], number_of_glowworms, gso_parameters, 2,
self.golden_data_path / 'initial_positions_redux.txt')
swarm = initializer.generate_glowworms()
assert swarm.get_size() > 0
def test_create_swarm(self):
objective_function = J1()
gso_parameters = GSOParameters()
number_of_glowworms = 50
initializer = FromFileInitializer([objective_function], number_of_glowworms, gso_parameters,
2, self.golden_data_path+'initial_positions.txt')
swarm = initializer.generate_glowworms()
assert number_of_glowworms == swarm.get_size()
assert "(0.617171, -2.85014) 5.00000000 0 0.200 0.00000000" == str(swarm.glowworms[-1])
def create_from_file(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box, initial_population_file):
"""Creates a new GSO instance of the algorithm reading the initial position of the glowworms
agents from initial_population_file.
"""
self._initializer = FromFileInitializer([objective_function], number_of_glowworms,
gso_parameters, bounding_box.dimension,
initial_population_file)
return GSO(self._initializer.generate_glowworms(), gso_parameters,
random_number_generator, initial_population_file)
def test_generate_landscape_positions_without_coordinates(self):
objective_function = J1()
gso_parameters = GSOParameters()
number_of_glowworms = 50
initializer = FromFileInitializer(
[objective_function], number_of_glowworms, gso_parameters, 2,
self.golden_data_path + 'initial_positions_empty.txt')
swarm = initializer.generate_glowworms()
assert swarm.get_size() > 0
def test_create_swarm(self):
objective_function = J1()
gso_parameters = GSOParameters()
number_of_glowworms = 50
initializer = FromFileInitializer(
[objective_function], number_of_glowworms, gso_parameters, 2,
self.golden_data_path + 'initial_positions.txt')
swarm = initializer.generate_glowworms()
assert number_of_glowworms == swarm.get_size()
assert "(0.617171, -2.85014) 5.00000000 0 0.200 0.00000000" == str(
swarm.glowworms[-1])
def create(self, number_of_glowworms, random_number_generator,
gso_parameters, objective_function, bounding_box):
"""Creates a new GSO instance of the algorithm"""
self._initializer = RandomInitializer([objective_function],
number_of_glowworms,
gso_parameters, bounding_box,
random_number_generator)
return GSO(self._initializer.generate_glowworms(), gso_parameters,
random_number_generator)
def create_from_file(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box, initial_population_file):
"""Creates a new GSO instance of the algorithm reading the initial position of the glowworms
agents from initial_population_file.
"""
self._initializer = FromFileInitializer([objective_function], number_of_glowworms,
gso_parameters, bounding_box.dimension,
initial_population_file)
return GSO(self._initializer.generate_glowworms(), gso_parameters,
random_number_generator, initial_population_file)
def create(self, number_of_glowworms, random_number_generator, gso_parameters,
objective_function, bounding_box):
"""Creates a new GSO instance of the algorithm"""
self._initializer = RandomInitializer([objective_function], number_of_glowworms, gso_parameters,
bounding_box, random_number_generator)
return GSO(self._initializer.generate_glowworms(), gso_parameters, random_number_generator)