Commit cbd6fab6 authored by Georgios Dagkakis's avatar Georgios Dagkakis

changes to make stochastic simulation lighter

parent c1c384a3
......@@ -60,6 +60,7 @@ class AddBatchStations(plugin.InputPreparationPlugin):
for node_id, node in nodes.iteritems():
if node['_class']=='Dream.BatchReassembly':
data['graph']['node'][node_id]['_class']='Dream.BatchReassemblyBlocking'
if node_id.startswith('St8R'):
data['graph']['node'][node_id]['outputResults']=1
# loop in BatchDecompositions to change the classes to BatchDecompositionStartTime for the ones that
......@@ -113,7 +114,7 @@ class AddBatchStations(plugin.InputPreparationPlugin):
"mean": 0
}
},
"outputResults": 1,
"outputResults": 0,
"numberOfSubBatches": numberOfSubBatches,
"wip": [],
"_class": "Dream.BatchReassemblyBlocking",
......@@ -133,7 +134,7 @@ class AddBatchStations(plugin.InputPreparationPlugin):
# set all the Queue types to gether wip data
for node in data["graph"]["node"].values():
if node['_class'] in ['Dream.Queue', 'Dream.LineClearance', 'Dream.RoutingQueue']:
node['gatherWipStat'] = 1
node['gatherWipStat'] = 0
return data
......
......@@ -233,6 +233,7 @@ class BatchesStochasticACO(BatchesACO):
for ant in antsInCurrentGeneration:
if ant['evaluationType']=='deterministic':
ant['score']=0
# ants.remove(ant)
# if we had stochastic evaluation keep only those ants in sorting
if numberOfAntsForStochasticEvaluationInGeneration:
......@@ -245,6 +246,11 @@ class BatchesStochasticACO(BatchesACO):
antsForNextGeneration = sorted(uniqueAntsInThisGeneration.values(),
key=operator.itemgetter('score'))[:numberOfAntsForNextGeneration]
# Keep only ants that carry pheromone at the ants list
for ant in antsInCurrentGeneration:
if not ant in antsForNextGeneration:
ants.remove(ant)
for l in antsForNextGeneration:
self.outputSheet.write(self.rowIndex,1,'Ant to carry pheromone to next generation')
self.outputSheet.write(self.rowIndex,2,l['key'])
......
......@@ -71,7 +71,7 @@ class ReadSkilledOperators(plugin.InputPreparationPlugin):
node['SkilledRouter01']={ #(random id)
"_class": "dream.simulation.SkilledOperatorRouter.SkilledRouter",
"name": "SkilledRouter01",
"outputSolutions":1,
"outputSolutions":0,
"twoPhaseSearch": int(data['general'].get('twoPhaseSearch',0)),
"checkCondition":1
}
......
Markdown is supported
0%
or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment