print("Starting...")
Net = Network(folderName="Topologia1")
allPossibilities = list(map(list, product(range(minimumValue, maximumValue + 1), repeat=sizeOfLinkBundles)))
for individual in allPossibilities:
print("Iteration Number: " + str(iterationNumber) + "\tpercentage: " + str(round(float(iterationNumber/len(allPossibilities) * 100), 2)))
result = evaluateNetwork(Net, individual)
if not result[1] >= 1.1:
ResultLog.log(result)
iterationNumber += 1
ResultLog.save()
stopTime = timeit.default_timer()
print('Execution Time:', stopTime - startTime)
with open(fileName + '.txt') as f:
lines = f.readlines()
solution_list = []
count = 0
for line in lines:
print('loading file, percentage: \t' + str(round(float(count/len(lines) * 100), 2)))
solution = Solution(number_of_variables=7, number_of_objectives=2)
result = eval(line)
solution.objectives[0] = result[0]
crossover=IntegerSBXCrossover(probability=0.3,
distribution_index=20),
termination_criterion=StoppingByEvaluationsCustom(
max_evaluations=max_evaluations,
reference_point=[5000, 2.1],
AlgorithmName='Reference')
# termination_criterion=stopCriterion
)
progress_bar = ProgressBarObserver(max=max_evaluations)
algorithm.observable.register(progress_bar)
algorithm.run()
solutions = algorithm.get_result()
for solution in solutions:
if not solution.objectives[1] >= 1.3:
solutionsResult.append(solution)
if executions == (timesToRun - 1):
frontResult = get_non_dominated_solutions(solutionsResult)
for sol in frontResult:
log_front.log(
str(sol.objectives[0]) + " " + str(sol.objectives[1]))
log_front.save()
plot_front = Plot(title='Pareto front approximation',
axis_labels=['Interfaces', 'TIRF'])
plot_front.plot(frontResult, label='NSGAII-OTN')
stopTime = timeit.default_timer()
print('Execution Time:', stopTime - startTime)