def runGenome(genome, genomeID, config):
highScore = 0
highTile = 0
fitness = 0
for i in range(BOTS_PER_GENOME):
bot = Bot()
bot.brain = neat.nn.FeedForwardNetwork.create(genome, config)
bot.useBrain()
fitness += bot.fitness
if bot.fitness > highScore:
highScore = bot.fitness
# Average bot fitnesses to get overall genome fitness
fitness /= BOTS_PER_GENOME
# Get high tile
for row in bot.board.tiles:
for cell in row:
if cell > highTile:
highTile = cell
return fitness, genomeID, highScore, highTile
print(f'High Score: {highScore}')
print(f'High Tile: {highTile}')
if __name__ == '__main__':
# Load configuration
config = neat.Config(neat.DefaultGenome, neat.DefaultReproduction,
neat.DefaultSpeciesSet, neat.DefaultStagnation,
'config')
# Create the population, which is the top-level object for a NEAT run
population = neat.Population(config)
# Add reporter so I can see stuff happen
population.add_reporter(neat.StdOutReporter(True))
stats = neat.StatisticsReporter()
population.add_reporter(stats)
# Train the population
winner = population.run(runGeneration)
# ======== Testing ==============
bot = Bot()
bot.brain = neat.nn.FeedForwardNetwork.create(winner, config)
bot.useBrain(printGame=True)
# ================================
# TODO: add visualization (https://neat-python.readthedocs.io/en/latest/xor_example.html)
