Genetic Algorithm engine built in Genetic Algorithms with Python
import datetime
from genetical import genetic
import unittest
def get_fitness(guess, target):
return sum(1 for expected, actual in zip(target, guess)
if expected == actual)
def display(candidate, startTime):
timeDiff = datetime.datetime.now() - startTime
print("{0}\t{1}\t{2}".format(
''.join(candidate.Genes),
candidate.Fitness,
str(timeDiff)))
class GuessPasswordTests(unittest.TestCase):
geneset = " abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!.,"
def test_Hello_World(self):
target = "Hello World!"
self.guess_password(target)
def test_For_I_am_fearfully_and_wonderfully_made(self):
target = "For I am fearfully and wonderfully made."
self.guess_password(target)
def guess_password(self, target):
startTime = datetime.datetime.now()
def fnGetFitness(genes):
return get_fitness(genes, target)
def fnDisplay(candidate):
display(candidate, startTime)
optimalFitness = len(target)
best = genetic.get_best(fnGetFitness, len(target),
optimalFitness, self.geneset, fnDisplay)
self.assertEqual(''.join(best.Genes), target)
if __name__ == '__main__':
unittest.main()