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 optimize(self):
simulator = Simulator(self.plant)
evaluator = Evaluator.fromXmlFile(self.configFilename, self.plant,
self.normValue)
optimizer = Optimizer.fromXmlFile(self.configFilename, self.plant,
self.orderList, simulator, evaluator)
result = optimizer.run()
best = bestSolution(result)
best.unNormalize(self.normValue)
# for item in best:
# if "kettle" in item[1]:
# print item[0], item[2]
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