correction. In the end use only the ants that were evaluated under risk analysis

dream/plugins/Batches/BatchesStochasticACO.py

@@ -212,6 +212,11 @@ class BatchesStochasticACO(BatchesACO):
             self.outputSheet.write(self.rowIndex,3,-ant['score'])
             self.rowIndex+=1
         
+#         # for the ants that were not evaluated stochastically set score = 0
+#         antsNotEvaluatedStochastically=[x for x in uniqueAntsInThisGeneration if x not in antsForStochasticEvaluationInGeneration]
+#         for ant in antsNotEvaluatedStochastically:
+#             ant['score']=0
+        
         # if we had stochastic evaluation keep only those ants in sorting
         if numberOfAntsForStochasticEvaluationInGeneration:
             uniqueAntsInThisGeneration = dict()
@@ -266,6 +271,15 @@ class BatchesStochasticACO(BatchesACO):
             self.outputSheet.write(self.rowIndex,3,-ant['score'])
             self.rowIndex+=1
 
+    # from all the ants in the experiment remove ants that outputs the same schedules
+    # XXX we in fact remove ants that produce the same output json
+    uniqueAnts = dict()
+    for ant in ants:
+        ant_result, = copy(ant['result']['result_list'])
+        ant_result['general'].pop('totalExecutionTime', None)
+        ant_result = json.dumps(ant_result, sort_keys=True)
+        uniqueAnts[ant_result] = ant
+
     # The ants are ranked based on their scores and the
     # best (max_results) are selected to be returned
     ants = sorted(uniqueAnts.values(),