def genetic_algorithm(pop_size=C.popSize,
playback=None,
play_result=True,
store_fitness: FileIO = None):
parents = POPULATION(pop_size)
parents.evaluate(envs, True)
parents.print(' 0')
for g in range(C.numGens):
children = POPULATION(pop_size, initialize=False)
children.fill_from(parents)
children.evaluate(envs, True)
children.print('%3i' % (g + 1))
parents = children
if playback is not None:
pickle.dump(parents.p[0], open(playback, 'wb'))
if play_result:
parents.evaluate(envs, best=True)
if store_fitness is not None:
parents.p[0].print(to=store_fitness)
Instructions:
Implement hill climber search
www.reddit.com/r/ludobots/wiki/pyrosim/parallelhillclimber
Blue diamond is the y coordinate
'''
save_best = True
visualize_best = True
num_generations = 200
# Initial population
parents = POPULATION(pop_size=100)
parents.create_population()
parents.evaluate()
print('Generation 0...')
parents.print_pop()
for gen in range(num_generations):
children = copy.deepcopy(parents)
children.mutate()
children.evaluate()
parents.replace(children)
print('Generation ', gen + 1, '...')
parents.print_pop()
fittest_idx = parents.find_fittest()
print('-----------------------------------------')
logging.basicConfig(level=logging.INFO)
import pickle
import pyrosim
import matplotlib.pyplot as plt
import numpy as np
from robot import ROBOT
from individual import INDIVIDUAL
from population import POPULATION
import constants
from environments import ENVIRONMENTS
# create environment with "light source"
envs = ENVIRONMENTS(numEnvs=constants.numEnvs, eval_time=constants.eval_time)
# create initial population
parents = POPULATION(envs,
popSize=constants.popSize,
eval_time=constants.eval_time)
parents.initialize()
parents.evaluate(play_blind=True, play_paused=False)
print(0, parents)
# evolve:
for g in range(constants.numGen):
children = POPULATION(envs, parents=parents)
children.fillFrom(parents)
children.evaluate(play_blind=True, play_paused=False)
parents.replaceWith(children)
print(g + 1, parents)
parents.playbest()
from copy import deepcopy
from population import POPULATION
parents = POPULATION(10)
print('running...')
for g in range(1,201):
# print(g, end=' ')
children = deepcopy(parents)
children.mutate()
children.evaluate(play_blind=True)
parents.replaceWith(children)
# parents.print()
print('.', end='', flush=True)
print()
parents.evaluate(best=True)
