def main():
global max_generations
global max_parents
dataset = ANN.ReadCSV()
population = Population()
#Current solution variables.
score = None
solution = None #Variable to keep in track the previous fitness value.
i = 0
while i < max_generations:
fitness = Fitness(population, dataset)
#--------------Final Solution variables---------------------
print(fitness)
score = max(fitness)
solution = population[(np.where(fitness == score))[0][0]]
#--------------END-------------------------------------------
parents = Parents(population, fitness)
offspring_crossover = Crossover(parents)
offspring_mutation = Mutation(offspring_crossover)
#generating a new population.
population = NewPopulation(population, parents, offspring_mutation)
if score >= 0.80:
break
else:
i += 1
print("Parameters:", solution)
print("Accuracy: " + "{:.2f} %".format(score))
