def builder(base, point, params, random_generator, position_initializator):
"""Sistematically generate environments from parameters combination."""
index = 1
for param in parameters_matrix(params):
# read parameters from the matrix
error = param[0]
inertial_weight = param[1]
cognition = param[2]
social = param[3]
num_particles = param[4]
velocity_max = param[5]
iterations_per_particle = param[6]
# point disturbed by a gaussian noise
disturbed_point_gen = apply_noise_linear(point=point, error=error)
# compute radius
radius = matrix([distance(b, next(disturbed_point_gen)) for b in base])
# build environment configuration
env_config = {
'inertial_weight': inertial_weight,
'cognition': cognition,
'social': social,
'random': random_generator,
'base': base,
'radius': radius
}
env = Environment(config=env_config)
# particle position generator
position_generator = position_initializator(env)
# particles inside env
for i in range(num_particles):
# particles
PSOParticle(
environment=env,
id="P{}env{}".format(i, index),
current=Information(position=next(position_generator)),
velocity=velocity_max * random_generator.random(),
vmax=velocity_max
)
# engine for env
yield (param, ParticleEngine(
config={
'max_iterations': iterations_per_particle
},
environment=env
))
random_generator = Random()
center = [1000, 1000, 1000]
side_length = 100
base_generator = generate_matrix_of_points_in_cube(
center=center, side_length=side_length, num_of_points=4)
point_generator = generate_matrix_of_points_in_cube(
center=center, side_length=side_length, num_of_points=1)
base = next(base_generator)
point = next(point_generator)
error = 10
disturbed_point_gen = apply_noise_linear(point=point, error=error)
radius = matrix([distance(b, next(disturbed_point_gen)) for b in base])
env_config = {
'inertial_weight': 2,
'cognition': 2,
'social': 1,
'random': random_generator,
'base': base,
'radius': radius
}
env1 = Environment(config=env_config)
position_generator = around_beacons(env1)
vmax = 5
random_generator = Random()
center = [1000, 1000, 1000]
side_length = 100
base_generator = generate_matrix_of_points_in_cube(center=center,
side_length=side_length,
num_of_points=4)
point_generator = generate_matrix_of_points_in_cube(center=center,
side_length=side_length,
num_of_points=1)
base = next(base_generator)
point = next(point_generator)
error = 10
disturbed_point_gen = apply_noise_linear(point=point, error=error)
radius = matrix([distance(b, next(disturbed_point_gen)) for b in base])
env_config = {
'inertial_weight': 2,
'cognition': 2,
'social': 1,
'random': random_generator,
'base': base,
'radius': radius
}
env1 = Environment(config=env_config)
position_generator = around_beacons(env1)
vmax = 5
