class EA(object):
def __init__(self, lamb, mu, turns, perturb, sourcefile):
self.mu = mu
self.lamb = lamb
self.runs = turns
LOG_FILENAME = os.path.abspath("./results/ealog.txt")
# Set up a specific logger with our desired output level
self.log = logging.getLogger('MyLogger')
self.log.setLevel(logging.DEBUG)
self.handler = logging.handlers.RotatingFileHandler(
LOG_FILENAME, backupCount=5)
self.log.addHandler(self.handler)
# create an initial generation
self.this_generation = Generation(lamb, mu, self.log)
self.this_generation.random(sourcefile, perturb)
def run(self):
for i in range(0,self.runs):
print("\n\n=====\nGENERATION: {0}\n====".format(self.this_generation.number))
self.log.debug("\n\n=====\nGENERATION: {0}\n====".format(self.this_generation.number))
# this modifies the generation and adds babies
self.this_generation.reproduce()
self.this_generation.natural_selection()
if self.this_generation.number % 10 == 0:
self.this_generation.every_ten_tournament()
self.this_generation.output_statistics()
self.this_generation.number += 1
self.output_top()
def output_top(self):
num = 10
sols = []
for s in sorted(self.this_generation.population, key=lambda p: p.fitness, reverse=True):
sols.append(s)
self.this_generation.output_solutions_to_file(sols,"top10.txt")
