def initialise_simulation(self, simulation):
self.simulation = simulation
Cache.get_cache().flush()
self.configurations.load_configuration_for_simulation(simulation)
self.configurations.configurations_dict = deepcopy(
self.configurations.configurations_dict)
segment_table_fixture_path = join(segment_table_dir_path,
simulation.segment_table_file_name)
SegmentTable.load(segment_table_fixture_path)
def initialise_segment_table(self, segment_table_file_name):
segment_table_fixture_path = join(segment_table_dir_path, segment_table_file_name)
SegmentTable.load(segment_table_fixture_path)
def initialise_simulation(self, simulation):
configurations = Configuration()
configurations.load_configuration_for_simulation(simulation)
segment_table_fixture_path = join(segment_table_dir_path, simulation.segment_table_file_name)
SegmentTable.load(segment_table_fixture_path)
configurations = Configuration()
configurations.load_configuration_for_simulation(current_simulation)
seed = 100
random.seed(seed)
logger.info('Simulation: {}'.format(options.simulation_name))
logger.info("Seed: {}".format(seed))
logger.info(str(configurations))
with open('ga_config.py') as f:
for line in f.readlines():
logger.info(line)
segment_table_fixture_path = join(segment_table_dir_path,
current_simulation.segment_table_file_name)
SegmentTable.load(segment_table_fixture_path)
dummy_queue = Queue(maxsize=10)
MAX_GENERATIONS = 10
genetic_algorithm = GeneticAlgorithm(current_simulation,
migration_coordinator=None,
result_queue=dummy_queue,
island_number=1,
simulation_total_islands=1,
max_generations=MAX_GENERATIONS,
simulation_total_generations=100,
initial_generation=1)
genetic_algorithm.run()