def start(self):
filename = "in.txt"
probability = 0.01
populationSize = 50
noOfIterations = 1000
problem = Problem(filename)
A = problem.getA()
subsets = problem.getSubsets()
# print(A, subsets)
individSize = len(A)
individ = Individ(individSize, A, A, subsets)
population = Population(populationSize)
population.computePopulation(A, individSize, subsets)
algorithm = Algorithm(problem, population)
graded, fitnessOptim, individualOptim, avgfitness = algorithm.run(
noOfIterations, probability, individ)
print('Result:\n After %d iterations \n Fitness Optim: %d' %
(noOfIterations, fitnessOptim))
print(" Individual Optim:" + str(individualOptim))
meanValue, standardDeviation = algorithm.statistics()
print("Mean Value: " + str(meanValue))
print("Standard Deviation: " + str(standardDeviation))
algorithm.getPlot(avgfitness)
