def main():
#Get the sequence to be searched using
FitnessCalculator.set_solution(str(raw_input("SEQUENCE: ")))
#Define the population
pop_size = int(raw_input("Enter population size: "))
elite_option = str(raw_input("Elitism enabled?(y/n): "))
#Elite switch
if elite_option == 'y':
elitism_enabled = True
else:
elitism_enabled = False
#Create a starting popultation
population = Population(pop_size, True)
#Generation count
generation = 0
evolution = Evolution(elitism_enabled)
#Loop until we dont have a solution
while population.get_fittest().get_fitness() < FitnessCalculator.get_max_fitness():
generation += 1
print "GENERATION : " + str(generation) + " FITTEST: " + str(population.get_fittest().get_fitness())
#Evolve the population
population = evolution.evolve(population)
print "SOLUTION FOUND..."
print "GENERATION: " + str(generation)
print "GENES: " + population.get_fittest().get_string()
return
def get_fitness(self):
if self.fitness == 0:
self.fitness = FitnessCalculator.calculate_fitness(self.genes)
return self.fitness