port to new version of demand planned

dream/simulation/applications/DemandPlanning/AllocManagement_Hybrid.py

@@ -77,6 +77,9 @@ def AllocManagement_Hybrid2():
             if week in G.sortedOrders['order'][priority]:
                 print 'order week', week 
                 if G.ACO:
+                    if G.ACOdefault:
+                        G.popSize = int(0.75*len(G.sortedOrders['order'][priority][week]) - 0.75*len(G.sortedOrders['order'][priority][week])%2)
+                        G.noGen = 20*G.popSize
                     ACOresults = Allocation_ACO(week, G.sortedOrders['order'][priority][week],'order',ACOresults)  
                 else:
                     AllocationRoutine2(week, G.sortedOrders['order'][priority][week],'order')        
@@ -99,6 +102,10 @@ def AllocManagement_Hybrid2():
                 
                 # if GA is required perform order sequence optimisation combined with internal LP optimisation
                 if G.GA:
+                    if G.GAdefault:
+                        G.popSizeGA = int(0.75*len(G.sortedOrders['forecast'][priority][week]) - 0.75*len(G.sortedOrders['forecast'][priority][week])%2)
+                        G.noGenGA = 20*G.popSizeGA
+                        
                     GAresults = Allocation_GA(week,itemList,'forecast',GAresults)
                     
                 # if GA is not require perform allocation with internal LP optimisation

dream/simulation/applications/DemandPlanning/Globals.py

@@ -46,13 +46,14 @@ class G:
     Earliness = {}
     Lateness = {}
     Excess = {}
-    weightFactor = [10.0,1.0,0,2]
+    weightFactor = [10.0,1.0,0,2,0.5]
     Utilisation={}
     
     # ACO parameters
     ACO = 1
     noGen = 5
     popSize = 10
+    ACOdefault = 0
     
     # GA parameters
     GA = 0          # suggests whether application of GA to forecast diseggragation is required
@@ -62,6 +63,7 @@ class G:
     probMutation = 0.1
     elitistSelection = 1
     terminationGA = 4
+    GAdefault = 0
     
     # utilisation calculation
     minDeltaUt = 0

dream/simulation/applications/DemandPlanning/ImportInput.py

@@ -57,6 +57,8 @@ def ImportInput(input, algorithmAttributes):
     # ACO parameters
     G.ACO = algorithmAttributes.get('ACO',None)
     G.popSize=algorithmAttributes.get('ACOpopulationSize',None)
+    if (not G.popSize) and G.ACO:
+        G.ACOdefault = 1    
     G.noGen=algorithmAttributes.get('ACOnumberOfGenerations',None)
     
     # optimisation weights for forecast IP method
@@ -64,12 +66,13 @@ def ImportInput(input, algorithmAttributes):
     G.weightFactor[1] = algorithmAttributes.get('minUtilisation',None)
     G.weightFactor[2] = algorithmAttributes.get('minDeltaTargetUtilisation',None)
     G.weightFactor[3] = algorithmAttributes.get('minTargetUtilisation',None)
-    
-    
-    
+    G.weightFactor[4] = algorithmAttributes.get('MAProportionality',None)
+
     # GA parameters
     G.GA= algorithmAttributes.get('GA',None)
     G.popSizeGA =algorithmAttributes.get('GApopulationSize',None)
+    if (not G.popSizeGA) and G.GA:
+        G.GAdefault = 1
     G.noGenGA =algorithmAttributes.get('GAnumberOfGenerations',None)
     G.probXover =algorithmAttributes.get('XOver',None)
     G.probMutation =algorithmAttributes.get('mutationProbability',None)