def main():
if args.filename is None:
parser.print_help()
sys.exit(1)
data_parser = DataParser(args.filename)
jobs, machines, tasks = data_parser.get_instance_parameters()
instance = Instance('Roxanne', machines, jobs, tasks)
instance.print_info()
instance.generate_best_cmax()
instance.johnsons_algorithm()
-comparecoolingoption - compares cooling forms(temprature and iteration), returns cmaxes for datasets and checks if optimal orders are compatible
-comparecooling - compares cooling factors, returns cmaxes for datasets
-comparemove - compares classic method with method which always calculates prob from exponent formula, returns cmaxes for datasets and checks if optimal orders are compatible
-comparemovewithonlydiff - compares classic method with method which checks only different cmaxes, returns cmaxes for datasets and checks if optimal orders are compatible
-comparestart - compares start orders - neh_prio and neh_result, returns cmaxes for datasets and checks if optimal orders are compatible
classic parameters: temperature=50, min_value=0.000001, cooling=0.8, method=swap
'''
if args.option == 'comparewithneh':
with open('compare_ex3/comparewithneh.txt', 'w') as file:
print("INFO: Started comparing neh with simulated annealing...")
for filename in os.listdir('data'):
if filename.startswith('data'):
data_parser = DataParser('data/{}'.format(filename))
jobs, machines, tasks, neh_prio = data_parser.get_instance_parameters(
)
instance = Instance('Roxanne', machines, jobs, tasks, neh_prio)
instance.print_info()
neh_queue, neh_cmax = instance.neh()
simann_queues = []
simann_cmaxes = []
for i in range(3):
simann_queue, simann_cmax = instance.simulated_annealing(
50, instance.neh_prio, 0.000001, 0.8, 'swap')
simann_cmaxes.append(simann_cmax)
simann_queues.append(simann_queue)
simann_cmax_avg = sum(simann_cmaxes) / len(simann_cmaxes)
if neh_queue in simann_queues:
compatibility = True
else:
compatibility = False
