def testNsgaii(self):
pop = [ChromosomeTestImplementation() for i in range(10)]
self.assertEqual(3, len(pop[0].genes))
pop = NSGAII.nsgaii(pop, 100)
expected = [5.198961969831384, 0.08305567759063237, 5.9249528286171405, -2.292726823088209, 5.9249528286171405, 2.8836408759525156, -2.292726823088209, 5.9249528286171405, 5.198961969831384, 13.01326687754792]
actual = [p.x() for p in pop]
self.assertEqual(expected, actual)
expected = [-14.893629327366531, -14.893629327366531, -4.073355846562075, -14.893629327366531, -10.698973150220933, -14.893629327366531, -14.893629327366531, -4.073355846562075, -14.893629327366531, 1.956945448043296]
actual = [p.y() for p in pop]
self.assertEqual(expected, actual)
def demonstrate(seed = 42):
random.seed(seed)
logger = NSGAII.log_file('demonsga.log')
pop = [ChromosomeTestImplementation() for i in range(10)]
return NSGAII.nsgaii(pop, 100, logger.log)
def evolveMnist(seed = 42):
logger = NSGAII.log_file('mnistgenerations.log')
pop = chromosome.initialMnistPopulation(40)
sys.stdout.flush()
result = NSGAII.nsgaii(pop, 100, logger.log)
print result