def natselect(popn, iteration):
tpopn = list()
while len(tpopn) < POPULATION_SIZE * 8:
if random.random() < .5:
child = indermediary_recomb(parentselect(popn))
mutate(child, iteration)
tpopn.append(individual(child, fitness(child)))
else:
child = discrete_recomb(parentselect(popn))
mutate(child, iteration)
tpopn.append(individual(child, fitness(child)))
return survivorselect(tpopn)
#### selection.py
from functions import fitness, individual, partmapcrossover, swapmutate, invmutate
import random
globmin = individual([], 10000000000)
# selects best individual in a tournament
# population is a list of individual objects
# size is a int representing the size of the tournament
# selects for either winners or losers
def tournament(population, size, winners):
global globmin
s = []
# generates random members of the tournament
while len(s) < size:
s.append(random.randint(0, len(population) - 1))
sublist = [population[i] for i in s]
best = sublist[0]
if winners:
for sub in sublist:
if sub.fitness < best.fitness and random.random() < .9: best = sub
if best.fitness <= globmin.fitness: globmin = best
else:
for sub in sublist:
if sub.fitness > best.fitness and random.random() < .6: best = sub
return best
def natselect(population, tournsize):
global globmin
from functions import mutate, indermediary_recomb, discrete_recomb, individual, fitness, initfun
import random
POPULATION_SIZE = 0
globbest = individual([], 10000)
def init(popsize, indlength, xrang, yrang):
global POPULATION_SIZE
POPULATION_SIZE = popsize
return initfun(popsize, indlength, xrang, yrang)
def natselect(popn, iteration):
tpopn = list()
while len(tpopn) < POPULATION_SIZE * 8:
if random.random() < .5:
child = indermediary_recomb(parentselect(popn))
mutate(child, iteration)
tpopn.append(individual(child, fitness(child)))
else:
child = discrete_recomb(parentselect(popn))
mutate(child, iteration)
tpopn.append(individual(child, fitness(child)))
return survivorselect(tpopn)
# uniform random selection for parent
def parentselect(popn):
return [random.choice(popn), random.choice(popn)]
