def create_classic_params(agents_count, agent_population, time_matrix, stages):
JOBS_COUNT = len(time_matrix[0])
return {
"agents": generate_agents("flowshop", agents_count, Agent),
"initializer": lambda: PermutationInitializer(JOBS_COUNT, agent_population),
"evaluation": lambda: FlowShopEvaluation(time_matrix),
"operators": lambda: [
FirstHalfSwapsCrossover(),
PermutationMutation(2) if stages == 0 else MemeticPermutationMutation(stages, 8, 2),
FlowShopEvaluation(time_matrix),
TournamentSelection(agent_population, agent_population)
],
"migration": NoMigration
}
def create_classic_params(agents_count, agent_population, time_matrix, incoming_problems_feed, distortion_factor):
JOBS_COUNT = len(time_matrix[0])
return {
"agents": masters_factory(1, l_conf.window_time, time_matrix, distortion_factor),
"manufacture": lambda: Manufacture(len(time_matrix)),
"timeKeeper": lambda: TimeKeeper(1, 1),
"slaves": generate_agents("flowshop", agents_count, Agent),
"initializer": lambda: PermutationInitializer(JOBS_COUNT, agent_population),
"evaluation": lambda: FlowShopEvaluation(time_matrix),
"operators": lambda: [
FirstHalfSwapsCrossover(),
PermutationMutation(2),
FlowShopEvaluation(time_matrix),
TournamentSelection(agent_population, agent_population)
],
"migration": NoMigration,
"problem_provider": lambda: ProblemProvider(incoming_problems_feed)
}
from pyage.core.locator import RandomLocator
from pyage.core.migration import Pyro4Migration
from pyage.core.statistics import TimeStatistics
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
from pyage.core.migration import Pyro4Migration
from pyage.core.stats.statistics import TimeStatistics
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
ns_hostname = lambda: os.environ['NS_HOSTNAME']
[10, 15, 20, 9, 9],
[30, 9, 11, 5, 6],
[12, 13, 14, 15, 16],
[16, 15, 13, 11, 10]
]
JOBS_COUNT = len(time_matrix()[0])
AGENTS_COUNT = 5
POPULATION_SIZE = 20
WINDOW_TIME = 250
machines_number = len(time_matrix())
timeKeeper = lambda: TimeKeeper(1, 1)
manufacture = lambda: Manufacture(machines_number)
stop_condition = lambda: StepLimitStopCondition(1000)
slaves = generate_agents("flowshop", AGENTS_COUNT, Agent)
agents = masters_factory(AGENTS_COUNT, WINDOW_TIME, time_matrix())
evaluation = lambda: FlowShopEvaluation(time_matrix())
initializer = lambda: PermutationInitializer(JOBS_COUNT, POPULATION_SIZE)
operators = lambda: [
FirstHalfSwapsCrossover(),
PermutationMutation(2),
evaluation(),
TournamentSelection(POPULATION_SIZE, POPULATION_SIZE)]
address_provider = address.SequenceAddressProvider
stats = GanttStatistics
migration = NoMigration
from pyage.solutions.evolution.selection import TournamentSelection
time_matrix = lambda: [
[54, 83, 15, 71, 77, 36, 53, 38, 27, 87, 76, 91, 14, 29, 12, 77, 32, 87, 68, 94],
[79, 3, 11, 99, 56, 70, 99, 60, 5, 56, 3, 61, 73, 75, 47, 14, 21, 86, 5, 77],
[16, 89, 49, 15, 89, 45, 60, 23, 57, 64, 7, 1, 63, 41, 63, 47, 26, 75, 77, 40],
[66, 58, 31, 68, 78, 91, 13, 59, 49, 85, 85, 9, 39, 41, 56, 40, 54, 77, 51, 31],
[58, 56, 20, 85, 53, 35, 53, 41, 69, 13, 86, 72, 8, 49, 47, 87, 58, 18, 68, 28]
]
JOBS_COUNT = len(time_matrix()[0])
PROCESSORS_COUNT = len(time_matrix())
AGENTS_COUNT = 50
POPULATION_SIZE = 20
agents = generate_agents("openshop", AGENTS_COUNT, Agent)
stop_condition = lambda: TimeLimitStopCondition(10)
evaluation = lambda: OpenShopEvaluation(time_matrix())
initializer = lambda: PermutationInitializer(JOBS_COUNT * PROCESSORS_COUNT, POPULATION_SIZE)
operators = lambda: [
FirstHalfSwapsCrossover(),
PermutationMutation(2),
evaluation(),
TournamentSelection(POPULATION_SIZE, POPULATION_SIZE)]
address_provider = address.SequenceAddressProvider
migration = NoMigration
locator = RandomLocator