def simulateArrivalChargePorts():
arrivalRate = 3
initialChargePorts = 1
arrivalRateStep = 0
chargePortStep = 5
chargePortCycles = 5
arrivalRateCycles = 1
numRunsPerIteration = 3
heatMap = [ ]
# gen 1st row of heatMap
# for now just write the name of the algorithm in by hand for cell (0,0)
row1 = [ "DSAC" ]
numChargePorts = initialChargePorts
for a in range( 1, chargePortCycles + 1 ):
row1.append( numChargePorts )
numChargePorts += chargePortStep
heatMap.append( row1 )
for i in range( arrivalRateCycles ):
poissonGen.setArrivalRate( arrivalRate )
numChargePorts = initialChargePorts
heatMapRow = [ arrivalRate ]
for j in range( chargePortCycles ):
chargePorts.setNumChargePorts( numChargePorts )
averageProfit = 0
for k in range( numRunsPerIteration ):
gc.collect()
# print "--------------------------"
simulationInterval = poissonGen.simulateInterval()
# test one algorithm at a time
singleTestData = dsac.simulate( simulationInterval )
# increment profit in spot
averageProfit += singleTestData[ 0 ]
# get average
averageProfit /= ( 1.0 * numRunsPerIteration )
heatMapRow.append( averageProfit )
numChargePorts += chargePortStep
heatMap.append( heatMapRow )
arrivalRate += arrivalRateStep
return heatMap
edfACProData = edf_AC_Pro.simulate(simulationInterval)
#----------------llfSimple----------------
llfSimpleData = llfSimple.simulate(simulationInterval)
llfSimpleACBasicData = llfSimple_AC_Basic.simulate(simulationInterval)
llfSimpleACProData = llfSimple_AC_Pro.simulate(simulationInterval)
#----------------llfSmart----------------
llfSmartData = llfSmart.simulate(simulationInterval)
llfSmartACBasicData = llfSmart_AC_Basic.simulate(simulationInterval)
#----------------dsac----------------
dsacData = dsac.simulate(simulationInterval)
# common.vehicleIdsIn2DList( simulationInterval )
runData = [
fcfsData, fcfsACData, edfData, edfACBasicData, edfACProData,
llfSimpleData, llfSimpleACBasicData, llfSimpleACProData,
llfSmartData, llfSmartACBasicData, dsacData
]
runProfits = [0] * 11
runSuccessRates = [0] * 11
runElapsedTimes = [0] * 11
runSuccessRatesWithDeclined = [0] * 11
for index, algoData in enumerate(runData):
def simulateArrivalChargePorts():
arrivalRate = 3
initialChargePorts = 1
arrivalRateStep = 0
chargePortStep = 5
chargePortCycles = 5
arrivalRateCycles = 1
numRunsPerIteration = 3
heatMap = []
# gen 1st row of heatMap
# for now just write the name of the algorithm in by hand for cell (0,0)
row1 = ["DSAC"]
numChargePorts = initialChargePorts
for a in range(1, chargePortCycles + 1):
row1.append(numChargePorts)
numChargePorts += chargePortStep
heatMap.append(row1)
for i in range(arrivalRateCycles):
poissonGen.setArrivalRate(arrivalRate)
numChargePorts = initialChargePorts
heatMapRow = [arrivalRate]
for j in range(chargePortCycles):
chargePorts.setNumChargePorts(numChargePorts)
averageProfit = 0
for k in range(numRunsPerIteration):
gc.collect()
# print "--------------------------"
simulationInterval = poissonGen.simulateInterval()
# test one algorithm at a time
singleTestData = dsac.simulate(simulationInterval)
# increment profit in spot
averageProfit += singleTestData[0]
# get average
averageProfit /= (1.0 * numRunsPerIteration)
heatMapRow.append(averageProfit)
numChargePorts += chargePortStep
heatMap.append(heatMapRow)
arrivalRate += arrivalRateStep
return heatMap
edfACProData = edf_AC_Pro.simulate( simulationInterval )
#----------------llfSimple----------------
llfSimpleData = llfSimple.simulate( simulationInterval )
llfSimpleACBasicData = llfSimple_AC_Basic.simulate( simulationInterval )
llfSimpleACProData = llfSimple_AC_Pro.simulate( simulationInterval )
#----------------llfSmart----------------
llfSmartData = llfSmart.simulate( simulationInterval )
llfSmartACBasicData = llfSmart_AC_Basic.simulate( simulationInterval )
#----------------dsac----------------
dsacData = dsac.simulate( simulationInterval )
# common.vehicleIdsIn2DList( simulationInterval )
runData = [ fcfsData , fcfsACData, edfData , edfACBasicData , edfACProData , llfSimpleData , llfSimpleACBasicData , llfSimpleACProData , llfSmartData , llfSmartACBasicData , dsacData ]
runProfits = [ 0 ] * 11
runSuccessRates = [ 0 ] * 11
runElapsedTimes = [ 0 ] * 11
runSuccessRatesWithDeclined = [ 0 ] * 11
for index , algoData in enumerate( runData ):
runProfits[ index ] = algoData[ 0 ]
runSuccessRates[ index ] = ( 1.0 * algoData[ 1 ] ) / ( algoData[ 1 ] + algoData[ 2 ] )
runSuccessRatesWithDeclined[ index ] = ( 1.0 * algoData[ 1 ] ) / algoData[ 4 ]
runElapsedTimes[ index ] = algoData[ 5 ]
