def run_gmctp1(input_file, output_file):
time1 = datetime.datetime.now()
file = join(data_dir, data_mgctp1, input_file)
problem = GMCTPProblem(data_path=file)
problem.max_nodes_per_route = 1000
# problem.max_tour_length = MAX_VALUE
# print problem.max_tour_length
best_solution = None
best_cost = MAX_VALUE
best_runs = []
lines = []
for job in xrange(JOBS):
ga = GA_MCTP(problem, job)
cost, tours = ga.run()
best_runs.append(cost)
if cost < best_cost:
best_cost = cost
best_solution = deepcopy(tours)
lines.append('%s %.2f %.2f %d [%s] %s\n' % (
input_file,
problem.best_cost,
best_cost,
len(best_solution),
# d.seconds,
' '.join([str(v) for v in best_runs]),
str(best_solution),
# str(best_solution.tours)
))
# print best_cost, best_solution
time2 = datetime.datetime.now()
duration = time2 - time1
lines.append(str(duration))
f = open(join('mgctp1_out', output_file), 'w')
f.writelines(lines)
]
# files = [os.path.join(data_dir, 'A-50-50-6.ctp')]
# files = glob.glob(data_dir + '*.ctp')
moves_freq = {}
# lengths = [250,500,250,500]
# lengths = [250]
ro = 500
for file in files:
time1 = datetime.datetime.now()
file_name = os.path.basename(file)
print file_name,
# convert gmctp visit moi node nhieu lan sang visit moi node 1 lan
problem = GMCTPProblem(data_path=file)
# problem.convert_to_gmctp1()
# generate gmctp problem
# problem = MCTPProblem(data_path=file)
# problem.export_gmctp()
# export gmctp voi rang buoc do dai moi route
# n = problem.num_of_nodes + len(problem.obligatory_nodes) + 1
#
# cost_from_depot = [problem.nodes[0].cost_dict[node] for node in range(1, n)]
# max_cost_from_depot = max(cost_from_depot)
#
# problem.max_tour_length = 2*max_cost_from_depot + ro
# problem.max_nodes_per_route = 1000
#