redEng.stop()
return score
# start up the simulation
pyroConfig = Configuration()
pyroConfig.put("pyrobot", "gui", "tk")
redRobot = Engine(robotfile="PyrobotRobot60000.py",
simfile="PyrobotSimulator",
config=pyroConfig,
worldfile="redFlagWorld.py")
blueRobot = Engine(robotfile="PyrobotRobot60001.py")
redEng = redRobot.robot
blueEng = blueRobot.robot
# set up neat
config.load('redEat_config')
chromosome.node_gene_type = genome.NodeGene
def main(argv = None):
if argv is None:
argv = sys.argv[1:]
chromo_file = None
log_file = None
if len(argv) == 0:
pass
elif len(argv) == 1:
chromo_gen = argv[0]
chromo_file = "red_best_chromo_" + chromo_gen
elif len(argv) == 2:
chromo_gen = argv[0]
chromo_file = "red_best_chromo_" + chromo_gen
return score
# start up the simulation
pyroConfig = Configuration()
pyroConfig.put("pyrobot", "gui", "tk")
redRobot = Engine(robotfile="PyrobotRobot60000.py",
simfile="PyrobotSimulator",
config=pyroConfig,
worldfile="redFlagWorld.py")
blueRobot = Engine(robotfile="PyrobotRobot60001.py")
redEng = redRobot.robot
blueEng = blueRobot.robot
# set up neat
config.load('redEat_config')
chromosome.node_gene_type = genome.NodeGene
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
chromo_file = None
log_file = None
if len(argv) == 0:
pass
elif len(argv) == 1:
chromo_gen = argv[0]
chromo_file = "red_best_chromo_" + chromo_gen
elif len(argv) == 2:
chromo_gen = argv[0]
from pyrobot.engine import Engine
from pyrobot.system.config import *
import time
import os
import sys
import math, random
import cPickle as pickle
from neat import config, population, chromosome, genome, visualize
from neat.nn import nn_pure as nn
config.load('blueEat_config')
chromosome.node_gene_type = genome.NodeGene
pyroConfig = Configuration()
pyroConfig.put("pyrobot", "gui", "tk")
redEng = Engine(robotfile="PyrobotRobot60002.py",
simfile="PyrobotSimulator",
config=pyroConfig,
worldfile="blueFlagWorld.py")
blueEng = Engine(robotfile="PyrobotRobot60003.py")
def eval_fitness(population):
"""
Evaluate the fitness of the given population.
"""
print "Evaluating the BLUE robot..."
for chromo in population:
chromo.fitness = eval_individual(chromo, population.getGen())
print "Fitness:", chromo.fitness
def eval_individual(chromo, currentGen, logFP=None):
if currentGen > 0:
from pyrobot.engine import Engine
from pyrobot.system.config import *
import time
import os
import sys
import math, random
import cPickle as pickle
from neat import config, population, chromosome, genome, visualize
from neat.nn import nn_pure as nn
config.load('blueEat_config')
chromosome.node_gene_type = genome.NodeGene
pyroConfig = Configuration()
pyroConfig.put("pyrobot", "gui", "tk")
redEng = Engine(robotfile="PyrobotRobot60002.py",
simfile="PyrobotSimulator",
config=pyroConfig,
worldfile="blueFlagWorld.py")
blueEng = Engine(robotfile="PyrobotRobot60003.py")
def eval_fitness(population):
"""
Evaluate the fitness of the given population.
"""
print "Evaluating the BLUE robot..."
for chromo in population:
chromo.fitness = eval_individual(chromo, population.getGen())
print "Fitness:", chromo.fitness