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
))
id="P{}env2".format(i),
current=Information(position=next(position_generator)),
velocity=random_generator.random(),
vmax=5
)
# Load logging configuration
config_file = "examples/followbest_particles.json"
with open(config_file) as data_file:
data = json.load(data_file)
logging.config.dictConfig(data)
# engine1 for env1
engine1 = ParticleEngine(
config={
'max_iterations': 40
},
environment=env1
)
engine1.start()
# engine2 for env2
engine2 = ParticleEngine(
config={
'max_iterations': 40
},
environment=env2
)
engine2.start()
# wait engines
engine1.join()
engine2.join()
matrix([
3.024, # beacon 1
6.4, # beacon 2
6.63, # beacon 3
])
}
env = Environment(config=config)
PSOParticle(environment=env,
id="P1",
current=Information(position=config['base'][0]),
velocity=matrix([0.1, 0.1, 0.1]),
vmax=3)
PSOParticle(environment=env,
id="P2",
current=Information(position=config['base'][1]),
vmax=10)
PSOParticle(environment=env,
id="P3",
current=Information(position=config['base'][2]),
vmax=10)
logging.basicConfig(filename='logs/find_point.log', level=logging.DEBUG)
engine = ParticleEngine(config={'max_iterations': 100}, environment=env)
engine.start()
engine.join()
bestParticle = env.best
print("Object located: ", bestParticle.best.position)
environment=env,
id="P{}env1".format(i + total),
current=Information(position=next(position_generator_2)),
velocity=random_generator.random(),
vmax=1,
)
# start around beacon 3
PSOParticle(
environment=env,
id="P{}env1".format(i + total * 2),
current=Information(position=next(position_generator_3)),
velocity=random_generator.random(),
vmax=1,
)
# start around beacon 4
FollowBestParticle(
environment=env,
id="P{}env1".format(i + total * 3),
current=Information(position=next(position_generator_4)),
velocity=random_generator.random(),
vmax=1,
)
# start engine
engine = ParticleEngine(config={"max_iterations": 70}, environment=env)
engine.start()
engine.join()
bestParticle = env.best
print("Object located: ", bestParticle.best.position)