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sa_test2
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sa_test2
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'''
sa_test1
'''
import TravSales
from pylab import *
import numpy as np
import random,math
import TravSales
import SA_base
import SA_ConstSpeed
import SA_WFF
import SA_SimpleEquil
import SA_SECS
import copy
def integral(costList):
if len(costList) < 4:
return 0.0
def muldiff(x,y1,y0): return x*(y1-y0)
def add(x,y): return x+y
return reduce(add, map(muldiff,
costList[3::2],
costList[2::2],
costList[0:-3:2]))
if __name__ == '__main__':
inst = TravSales.TravSales()
'''
moves[1000,15000]
cool[0.7, 0.96]
speed[5, 15]
c[0.25, 1.5]
'''
print "SA base sweeps:"
bestFinal = -1.0
bestIntegral = -1.0
for moves in [1000, 5000, 10000, 15000]:
for cool in [0.95, 0.9, 0.85, 0.8, 0.70]:
instSA = copy.deepcopy(inst)
base = SA_base.SA_base(instSA,500.0,moves,cool)
costList = base.optimize()
if bestFinal == -1.0 or costList[-1] < bestFinal:
bestFinal = costList[-1]
bestFinalCostList = costList
bestFinalParam = [moves,cool]
intgrl = integral(costList)
if bestIntegral == -1.0 or intgrl < bestIntegral:
bestIntegral = intgrl
bestIntegralCostList = costList
bestIntegralParam = [moves,cool]
print "Base: Best Final: ",bestFinalParam,\
" Cost: ",bestFinalCostList[-2:]
print "Base: Best Integral: ",bestIntegralParam,\
" Cost: ",bestIntegralCostList[-2:]
plot(bestFinalCostList[0::2],bestFinalCostList[1::2],'go-',
label='finalBase')
plot(bestIntegralCostList[0::2],bestIntegralCostList[1::2],'g*-',
label='intBase')
bestFinal = -1.0
bestIntegral = -1.0
for moves in [500, 1000, 2500 ]:
for speed in [12,13,14]:
for cool in [0.9, 0.93, 0.94]:
instCS = copy.deepcopy(inst)
constSp = SA_ConstSpeed.SA_ConstSpeed(instCS,moves,cool,speed)
costList = constSp.optimize()
if bestFinal == -1.0 or costList[-1] < bestFinal:
bestFinal = costList[-1]
bestFinalCostList = costList
bestFinalParam = [moves,speed]
intgrl = integral(costList)
if bestIntegral == -1.0 or intgrl < bestIntegral:
bestIntegral = intgrl
bestIntegralCostList = costList
bestIntegralParam = [moves,speed]
print "CS: Best Final: ",bestFinalParam,\
" Cost: ",bestFinalCostList[-2:]
print "CS: Best Integral: ",bestIntegralParam,\
" Cost: ",bestIntegralCostList[-2:]
plot(bestFinalCostList[0::2],bestFinalCostList[1::2],'bo-',
label='finalCS')
plot(bestIntegralCostList[0::2],bestIntegralCostList[1::2],'b*-',
label='intCS')
bestFinal = -1.0
bestIntegral = -1.0
for moves in [1000, 5000, 8000 ]:
for cool in [0.9, 0.93, 0.94]:
for c in [0.25, 0.5, 0.75, 1.0, 1.25]:
instWFF = copy.deepcopy(inst)
wff = SA_WFF.SA_WFF(instWFF,moves,cool,c)
costList = wff.optimize()
if bestFinal == -1.0 or costList[-1] < bestFinal:
bestFinal = costList[-1]
bestFinalCostList = costList
bestFinalParam = [cool,c]
intgrl = integral(costList)
if bestIntegral == -1.0 or intgrl < bestIntegral:
bestIntegral = intgrl
bestIntegralCostList = costList
bestIntegralParam = [cool,c]
print "WFF: Best Final: ",bestFinalParam,\
" Cost: ",bestFinalCostList[-2:]
print "WFF: Best Integral: ", bestIntegralParam,\
" Cost: ",bestIntegralCostList[-2:]
plot(bestFinalCostList[0::2],bestFinalCostList[1::2],'ro-',
label='finalCS')
plot(bestIntegralCostList[0::2],bestIntegralCostList[1::2],'r*-',
label='intCS')
bestFinal = -1.0
bestIntegral = -1.0
for cool in [0.87, 0.9, 0.93, 0.94, 0.95]:
for c in [1.01, 1.02, 1.05, 1.1]:
for moves in [1000, 5000, 8000]:
instSE = copy.deepcopy(inst)
se = SA_SimpleEquil.SA_SimpleEquil(instSE,moves,cool,c)
costList = se.optimize()
if bestFinal == -1.0 or costList[-1] < bestFinal:
bestFinal = costList[-1]
bestFinalCostList = costList
bestFinalParam = [cool,c]
intgrl = integral(costList)
if bestIntegral == -1.0 or intgrl < bestIntegral:
bestIntegral = intgrl
bestIntegralCostList = costList
bestIntegralParam = [cool,c]
print "SE: Best Final: ",bestFinalParam, \
" Cost: ",bestFinalCostList[-2:]
print "SE: Best Integral: ", bestIntegralParam, \
" Cost: ",bestIntegralCostList[-2:]
plot(bestFinalCostList[0::2],bestFinalCostList[1::2],'mo-',
label='finalCS')
plot(bestIntegralCostList[0::2],bestIntegralCostList[1::2],'m*-',
label='intCS')
bestFinal = -1.0
bestIntegral = -1.0
for cool in [0.87, 0.9, 0.93, 0.94, 0.95]:
for c in [1.01, 1.02, 1.05, 1.1]:
for moves in [500,1000,2500]:
instSECS = copy.deepcopy(inst)
se = SA_SECS.SA_SECS(instSE,moves,cool,c,14)
costList = se.optimize()
if bestFinal == -1.0 or costList[-1] < bestFinal:
bestFinal = costList[-1]
bestFinalCostList = costList
bestFinalParam = [cool,c]
intgrl = integral(costList)
if bestIntegral == -1.0 or intgrl < bestIntegral:
bestIntegral = intgrl
bestIntegralCostList = costList
bestIntegralParam = [cool,c]
print "SE: Best Final: ",bestFinalParam, \
" Cost: ",bestFinalCostList[-2:]
print "SE: Best Integral: ", bestIntegralParam, \
" Cost: ",bestIntegralCostList[-2:]
plot(bestFinalCostList[0::2],bestFinalCostList[1::2],'yo-',
label='finalCS')
plot(bestIntegralCostList[0::2],bestIntegralCostList[1::2],'y*-',
label='intCS')
show()
print bestFinalCostList