def create(self):
# create an initial population with (# strings, len of strings, if binary)
pop = gp.population(self.num_Strings, self.len_Strings, self.binary)
# Once initialized gen_op will find the total sum, create the CDF, and create an intermediate generation
self.genop = go.gen_op(pop, self.Pc, self.Pm, self.fitness)
print "Initial Pop:"
self.genop.pop.get_pop()
# Variables
num_Strings = 30 # Defines the population size
len_Strings = 10 # Defines the length of each gene/string
binary = False # Selects if the string will be bits or numbers from 1..len_String
Pc = 0.75 # Defines the probability of crossover (how many strings will be selected for mating)
Pm = 0.0125 # Defines the probability of mutation
generations = 5000
# create an initial population with (# strings, len of strings, if binary)
pop = gp.population(num_Strings,len_Strings,binary)
#pop.get_pop()
#print "Post"
# Once initialized gen_op will find the total sum, create the CDF, and create an intermediate generation
genop = go.gen_op(pop,Pc,Pm)
print "Initial Pop:"
genop.pop.get_pop()
for i in range(0, generations) :
if (i + 1) % 500 == 0 :
print "generation %s" % (i+1)
genop.pop_sum()
genop.pop.get_pop()
genop.clear()
#time.sleep(1)
# raw_input('Hit enter for next 500')
if i != generations - 1 :
genop.run_gen()
genop.next_gen()
