def _mutateSelectivelyWithModifiedRange(xVecParam, minMaxTuple,indexP, stepParam=1):
valToret = 0
xCurrent=[x for x in xVecParam]
xBest=xVecParam
listOfMax=[10, 10, 5, 6, 5, 10]
listOfMin=[ 0, 0, 1, 0, 1, 0]
fractionedMax = [float(x)*float(stepParam*10)/float(100) for x in listOfMax]
fractionedMin = [float(x)*float((stepParam*10)/100) for x in listOfMin]
#print "{}--{}".format(fractionedMax, fractionedMin)
maxRangeOI = float(fractionedMax[indexP])
minRangeOI = float(fractionedMin[indexP])
stepOfI = maxRangeOI - minRangeOI
#print "stepOfI... ", stepOfI
cnt = minRangeOI
run = 0
while cnt <= maxRangeOI:
xCurrent[indexP] = cnt
if checker.checkConstraints(xCurrent):
if calcNormEnergy(xBest, minMaxTuple) <= calcNormEnergy(xCurrent, minMaxTuple):
xBest = [xtemp for xtemp in xCurrent]
cnt = cnt + stepOfI
run = run + 1
valToret = [ _ for _ in xBest]
#print "run ..." , run
run = 0
return valToret
def _mutateSelectively(xVecParam, minMaxTuple, indexP, stepParam=20):
valToret = 0
xCurrent = [x for x in xVecParam]
xBest = xVecParam
listOfMax = [10, 10, 5, 6, 5, 10]
listOfMin = [0, 0, 1, 0, 1, 0]
# distance=(listOfMax[indexP]-listOfMin[indexP])/stepParam
#
# range1 = int((xCurrent[indexP]-listOfMin[indexP])/distance)
# range2 = int((listOfMax[indexP]-xCurrent[indexP])/distance)
# #print "r-1 {}, r-2 {}, dist = {}".format(range1, range2, distance)
# for cnt in range(-range1, range2+1):
# xCurrent[indexP]=xVecParam[indexP]+cnt*distance
# if not checker.checkConstraints(xCurrent):
# continue
# else:
# if calcNormEnergy(xBest, minMaxTuple) <= calcNormEnergy(xCurrent, minMaxTuple):
# xBest=xCurrent
maxRangeOI = float(listOfMax[indexP])
minRangeOI = float(listOfMin[indexP])
stepOfI = float((maxRangeOI - minRangeOI) / stepParam)
cnt = minRangeOI
while cnt <= maxRangeOI:
xCurrent[indexP] = cnt
if checker.checkConstraints(xCurrent):
if calcNormEnergy(xBest, minMaxTuple) <= calcNormEnergy(
xCurrent, minMaxTuple):
xBest = [xtemp for xtemp in xCurrent]
cnt = cnt + stepOfI
valToret = [_ for _ in xBest]
return valToret
def _mutateSelectively(xVecParam, minMaxTuple,indexP, stepParam=20):
valToret = 0
xCurrent=[x for x in xVecParam]
xBest=xVecParam
listOfMax=[10, 10, 5, 6, 5, 10]
listOfMin=[ 0, 0, 1, 0, 1, 0]
# distance=(listOfMax[indexP]-listOfMin[indexP])/stepParam
#
# range1 = int((xCurrent[indexP]-listOfMin[indexP])/distance)
# range2 = int((listOfMax[indexP]-xCurrent[indexP])/distance)
# #print "r-1 {}, r-2 {}, dist = {}".format(range1, range2, distance)
# for cnt in range(-range1, range2+1):
# xCurrent[indexP]=xVecParam[indexP]+cnt*distance
# if not checker.checkConstraints(xCurrent):
# continue
# else:
# if calcNormEnergy(xBest, minMaxTuple) <= calcNormEnergy(xCurrent, minMaxTuple):
# xBest=xCurrent
maxRangeOI = float(listOfMax[indexP])
minRangeOI = float(listOfMin[indexP])
stepOfI = float((maxRangeOI - minRangeOI)/stepParam)
cnt = minRangeOI
while cnt <= maxRangeOI:
xCurrent[indexP] = cnt
if checker.checkConstraints(xCurrent):
if calcNormEnergy(xBest, minMaxTuple) <= calcNormEnergy(xCurrent, minMaxTuple):
xBest = [xtemp for xtemp in xCurrent]
cnt = cnt + stepOfI
valToret = [ _ for _ in xBest]
return valToret
def _mutateRandomly(xVecParam, indexParam):
import baseline
vecToUse = [_ for _ in xVecParam]
while True:
#vecToUse[indexParam] = random.uniform(listOfMin[indexParam], listOfMax[indexParam])
vecToUse[indexParam] = baseline.getVariableBounds(indexParam)
if checker.checkConstraints(vecToUse):
break
return vecToUse
def _mutateRandomly(xVecParam, indexParam):
import baseline
vecToUse = [ _ for _ in xVecParam]
while True:
#vecToUse[indexParam] = random.uniform(listOfMin[indexParam], listOfMax[indexParam])
vecToUse[indexParam] = baseline.getVariableBounds(indexParam)
if checker.checkConstraints(vecToUse):
break
return vecToUse
def _secondObj(xVecParam):
valToRet = 0
if (checker.checkVariableBounds(xVecParam)):
if (checker.checkConstraints(xVecParam)):
for valI in xVecParam:
valToRet = valToRet + math.pow(valI, 2)
else:
valToRet = float('nan')
print "Second Objective Failed : Input vector violates Oscyzaka-II's constraints !", xVecParam
else:
valToRet = float('nan')
print "Second Objective Failed : Input vector violates Oscyzaka-II's variable bounds !", xVecParam
#print valToRet
return valToRet
def _secondObj(xVecParam):
valToRet = 0
if(checker.checkVariableBounds(xVecParam)):
if(checker.checkConstraints(xVecParam)):
for valI in xVecParam:
valToRet = valToRet + math.pow(valI, 2)
else:
valToRet = float('nan')
print "Second Objective Failed : Input vector violates Oscyzaka-II's constraints !", xVecParam
else:
valToRet = float('nan')
print "Second Objective Failed : Input vector violates Oscyzaka-II's variable bounds !", xVecParam
#print valToRet
return valToRet
def _firstObj(xVecParam):
valToRet = 0
if(checker.checkVariableBounds(xVecParam)):
if(checker.checkConstraints(xVecParam)):
factor1 = 25 * math.pow(xVecParam[0] - 2, 2)
factor2 = math.pow(xVecParam[1] - 2, 2)
factor3 = math.pow(xVecParam[2] - 1, 2) * math.pow(xVecParam[3] - 4, 2)
factor4 = math.pow(xVecParam[4] - 1, 2)
valToRet = -1 * (factor1 + factor2 + factor3 + factor4)
else:
valToRet = float('nan')
print "First Objective Failed : Input vector violates Oscyzaka-II's constraints !" , xVecParam
else:
valToRet = float('nan')
print "First Objective Failed : Input vector violates Oscyzaka-II's variable bounds !", xVecParam
return valToRet
def _firstObj(xVecParam):
valToRet = 0
if (checker.checkVariableBounds(xVecParam)):
if (checker.checkConstraints(xVecParam)):
factor1 = 25 * math.pow(xVecParam[0] - 2, 2)
factor2 = math.pow(xVecParam[1] - 2, 2)
factor3 = math.pow(xVecParam[2] - 1, 2) * math.pow(
xVecParam[3] - 4, 2)
factor4 = math.pow(xVecParam[4] - 1, 2)
valToRet = -1 * (factor1 + factor2 + factor3 + factor4)
else:
valToRet = float('nan')
print "First Objective Failed : Input vector violates Oscyzaka-II's constraints !", xVecParam
else:
valToRet = float('nan')
print "First Objective Failed : Input vector violates Oscyzaka-II's variable bounds !", xVecParam
return valToRet
def _mutateSelectivelyWithModifiedRange(xVecParam,
minMaxTuple,
indexP,
stepParam=1):
valToret = 0
xCurrent = [x for x in xVecParam]
xBest = xVecParam
listOfMax = [10, 10, 5, 6, 5, 10]
listOfMin = [0, 0, 1, 0, 1, 0]
fractionedMax = [
float(x) * float(stepParam * 10) / float(100) for x in listOfMax
]
fractionedMin = [
float(x) * float((stepParam * 10) / 100) for x in listOfMin
]
#print "{}--{}".format(fractionedMax, fractionedMin)
maxRangeOI = float(fractionedMax[indexP])
minRangeOI = float(fractionedMin[indexP])
stepOfI = maxRangeOI - minRangeOI
#print "stepOfI... ", stepOfI
cnt = minRangeOI
run = 0
while cnt <= maxRangeOI:
xCurrent[indexP] = cnt
if checker.checkConstraints(xCurrent):
if calcNormEnergy(xBest, minMaxTuple) <= calcNormEnergy(
xCurrent, minMaxTuple):
xBest = [xtemp for xtemp in xCurrent]
cnt = cnt + stepOfI
run = run + 1
valToret = [_ for _ in xBest]
#print "run ..." , run
run = 0
return valToret
def test_c_checkoscyzaka2_obj2():
vecToTest = [-5.5, 2, 3, 3, 1, -1.9]
assert False==checker.checkVariableBounds(vecToTest)
assert False==checker.checkConstraints(vecToTest)
assert True==math.isnan(oscyzaka2._secondObj(vecToTest))
def test_a_checkoscyzaka2_obj2():
vecToTest = [1, 2, 3, 3, 3, 9]
assert True==checker.checkVariableBounds(vecToTest)
assert True==checker.checkConstraints(vecToTest)
assert 113==oscyzaka2._secondObj(vecToTest)
def test_c_checkoscyzaka2_obj1():
vecToTest = [1.0, 2.0, 3.0, 3.0, 3.0, 9.0]
assert True==checker.checkVariableBounds(vecToTest)
assert True==checker.checkConstraints(vecToTest)
assert -33==oscyzaka2._firstObj(vecToTest)
def test_b_checkoscyzaka2_obj1():
vecToTest = [0, 2, 3, 3, 1, 9]
assert True==checker.checkVariableBounds(vecToTest)
assert False==checker.checkConstraints(vecToTest)
assert True==math.isnan(oscyzaka2._firstObj(vecToTest))
def test_a_checkoscyzaka2_obj1():
vecToTest = [1, 2, 3, 3, 3, 9]
assert True==checker.checkVariableBounds(vecToTest)
assert True==checker.checkConstraints(vecToTest)
assert -33==oscyzaka2._firstObj(vecToTest)
def test_c_checkConstraints():
vecToTest = [0, 2, 3, 3, 1, 9]
assert True==checker.checkVariableBounds(vecToTest)
assert False==checker.checkConstraints(vecToTest)
def test_b_checkConstraints():
vecToTest = [-1, 2, 3, 3, 3, 9]
assert False==checker.checkVariableBounds(vecToTest)
assert False==checker.checkConstraints(vecToTest)
def test_a_checkConstraints():
vecToTest = [1, 2, 3, 3, 3, 9]
assert True == checker.checkVariableBounds(vecToTest)
assert True==checker.checkConstraints(vecToTest)
def getValidVector():
vec = [getVariableBounds(0), getVariableBounds(1), getVariableBounds(2), getVariableBounds(3), getVariableBounds(4), getVariableBounds(5)]
while not checker.checkConstraints(vec):
vec = [getVariableBounds(0), getVariableBounds(1), getVariableBounds(2), getVariableBounds(3), getVariableBounds(4), getVariableBounds(5)]
return vec