def run(self):
population = self.initialPopulation()
for i in range(self.iterations):
print pretty("Optimizer iteration number %s" % (i + 1), BLUE)
population = self.mutatePopulation(population)
print bestSolution(population)
def run(self):
pprint("OPT calculating initial population...", BLUE, self.printing)
population = self.initialPopulation()
for i in range(self.iterations):
pprint("OPT iteration number %s" % (i + 1), BLUE, self.printing)
population = self.mutatePopulation(population)
print bestSolution(population)
def schedule(self):
"""
Runs the Scheduler with the OrderList from orderListName on the Plant
with plantName.
"""
scheduler = Scheduler(self.plant, self.orderList)
evaluator = Evaluator(self.plant)
result = scheduler.start()
if result != None:
solutions = parseSolutions(result, self.plant, self.orderList)
evaluator.evaluate(solutions)
print bestSolution(solutions)
def optimize(self):
simulator = Simulator(self.plant)
evaluator = Evaluator.fromXmlFile(self.configFilename, self.plant)
optimizer = Optimizer.fromXmlFile(self.configFilename, self.plant,
self.orderList, simulator, evaluator)
result = optimizer.run()
best = bestSolution(result)
best.unNormalize(self.normValue)
print best
def schedule(args):
"""
Runs the Scheduler with the OrderList from orderListName on the Plant
with plantName.
"""
plantName = args[0]
orderListName = args[1]
plant, orderList, normValue = loadPlantAndOrderList(
plantName, orderListName)
scheduler = Scheduler(plant, orderList)
evaluator = Evaluator(plant)
result = scheduler.start()
if result != None:
solutions = parseSolutions(result, plant, orderList)
evaluator.evaluate(solutions)
print bestSolution(solutions)
def schedule(self):
"""
Runs the Scheduler with the OrderList from orderListName on the Plant
with plantName.
"""
scheduler = Scheduler(self.plant, self.orderList)
evaluator = Evaluator.fromXmlFile(self.configFilename, self.plant)
result = scheduler.start()
if result != None:
solutions = parseSolutions(result, self.plant, self.orderList)
evaluator.evaluate(solutions)
best = bestSolution(solutions)
best.unNormalize(self.normValue)
print best
def run(self):
simulator = Simulator(self.plant)
evaluator = Evaluator.fromXmlFile(self.configFilename, self.plant)
optimizer = Optimizer.fromXmlFile(self.configFilename, self.plant,
self.orderList, simulator, evaluator)
scheduler = Scheduler(self.plant, self.orderList)
result = scheduler.start()
if result != None:
solutions = parseSolutions(result, self.plant, self.orderList)
for s in solutions:
s.loadStartTimes(self.plant)
result = optimizer.run(solutions)
best = bestSolution(result)
best.unNormalize(self.normValue)
print best
def optimize(self):
optimizer = Optimizer(self.plant, self.orderList,
Simulator(self.plant), Evaluator(self.plant))
result = optimizer.run()
print bestSolution(result)