def objective_function(self, weights):
"""Constructs cellular automata, set weights of MLP as rule for cellular
automata, run cellular automata until it stops and compare result with
desired pattern. In this case desired pattern is two band.
"""
lattice = create_automaton(self.conf_file)
lattice.rule.set_weights(weights)
lattice.run(self.stop_criterion)
self.lattice_age_list.append(lattice.age)
objlog = logging.getLogger("OBJECTIVEFNC")
objlog.info("iterations {}".format(lattice.age))
if lattice.chaotic: # if lattice doesn't have stable configuration
objlog.info("unstable lattice")
return 1.0
else:
error = self.error_function(self.pattern, lattice)
if error < self.min_error:
objlog.info("updating minimal error to: {}".format(error))
self.min_error = error
self.best_weights = weights
self.lattice_age = lattice.age
self.progress.append((error,weights))
if self.callback:
self.callback() # hack
objlog.debug("error: {}".format(error))
return error
def start_simulation(config_path):
log = logging.getLogger("THREAD")
replay_file_name = os.path.join(PROJECTS, self.name, "replays", time.strftime("%Y_%m_%d_%H_%M_%S.replay"))
automaton = create_automaton(config_path)
log.debug("automaton created")
automaton.run_with_record(AgeStopCriterion(800), replay_file_name)
log.info("Running finished! Replay saved in {}".format(replay_file_name))