class Simulation(object):
"""The overall simulation."""
def __init__(self, size=100):
logging.info("Creating maze environment")
self._maze = Maze().withDecisionReward(1)\
.withGoalReward(20)\
.withRevisitPenalty(2)\
.withOutOfBoundsPenalty(2)
logging.info("Creating gene builder")
self._gb = GeneBuilder().withGeneset(self._maze.genes).withLength(8)\
.withMutation(0.03)\
.withCrossover(crossover_random)
self._population_size = size
self._population = None
self._new_population = Generation(self._population_size, self._gb).from_random()
self._new_population.log()
self.generation = 0
def _make_new_generation(self):
self._new_population = Generation(self._population_size, self._gb).from_previous_generation(self._population)
self.generation += 1
@property
def best_fitness(self):
return self._population.best_fitness
@property
def best_genes(self):
return self._population.best
@property
def mean(self):
return self._population.mean_fitness
def step_generation(self):
self._population = self._new_population
logging.info("Testing..")
self._population.test(self._maze)
logging.info("Breeding...")
self._make_new_generation()
