from pyage.core.stop_condition import StepLimitStopCondition
from pyage.solutions.evolution.crossover import AverageFloatCrossover
from pyage.solutions.evolution.evaluation import FloatRastriginEvaluation
from pyage.solutions.evolution.initializer import FloatInitializer
from pyage.solutions.evolution.mutation import UniformFloatMutation
from pyage.solutions.evolution.selection import TournamentSelection
logger = logging.getLogger(__name__)
agents_count = int(os.environ['AGENTS'])
logger.debug("AGGREGATE, %s agents", agents_count)
agents = generate_agents("agent", agents_count, AggregateAgent)
aggregated_agents = unnamed_agents(2, Agent)
stop_condition = lambda: StepLimitStopCondition(100)
size = 500
operators = lambda: [
FloatRastriginEvaluation(),
TournamentSelection(size=55, tournament_size=30),
AverageFloatCrossover(size=size),
UniformFloatMutation(probability=0.05, radius=1)
]
initializer = lambda: FloatInitializer(500, size, -10, 10)
address_provider = address.SequenceAddressProvider
migration = Pyro4Migration
locator = RandomLocator
from pyage.core.address import SequenceAddressProvider from pyage.core.agent.agent import unnamed_agents from pyage.core.locator import ParentLocator from pyage.core.stop_condition import StepLimitStopCondition from langtons_ant.agent import NetAgent, SubAgent from langtons_ant.layer import ColorLayer from langtons_ant.statistics import PositionStatistics from langtons_ant.vector import Vector from langtons_ant.migration import CrossBorderMigration from langtons_ant.net_agents_creation import net_agent from math import sqrt logger = logging.getLogger(__name__) number_of_iterations = lambda: 1000 stop_condition = lambda: StepLimitStopCondition(number_of_iterations()) net_dimensions = lambda: Vector(100, 100) # Distributed environment settings number_of_hosts = lambda: 16 global_number_of_net_agents = lambda: 16 # square root must be an integer net_agents_per_host = lambda: global_number_of_net_agents() / number_of_hosts() net_agents_per_line = lambda: int(sqrt(global_number_of_net_agents())) waiting_interval = lambda: 3 # frequency of checking presence of all net_agents (in seconds) # ================================ agents_per_net = 35 layers = lambda: [ColorLayer()] iterations_per_update = lambda: 50 overlap_size = lambda: 5