class SimulatedAnnealing(object):
# maxDisc -> Numero maximo de perturbacoes na temperatura
# maxSuc -> Numero maximo de sucessos por iteracao
# alpha -> fator de reducao da temperatura
def __init__(self, iterate, maxDis, maxSuc, alpha, startTemp, **kwargs):
self.iterate = iterate
self.maxDis = maxDis
self.maxSuc = maxSuc
self.alpha = alpha
self.startState = file.read()
self.neighbor = Neighbor(self.startState)
self.startTemp = startTemp
self.state_update = None
if 'state_update' in kwargs:
self.state_update = True
def simulate(self):
i = 0
success = sys.maxsize
currentState = self.startState
t = self.startTemp
solutions = []
while not (success == 0) and i < self.iterate:
j = 0
success = 0
while success <= self.maxSuc and j < self.maxDis:
f1 = Heuristic(currentState).attacks()
newState = self.neighbor.generateState()
if Heuristic(newState).attacks() == 0:
if not Heuristic(newState).queensPosition() in solutions:
solutions.append(Heuristic(newState).queensPosition())
if self.state_update:
print Heuristic(currentState).queensPosition(
), " -> ", Heuristic(newState).queensPosition()
f2 = Heuristic(newState).attacks()
deltaF = f2 - f1
if not t == 0.0:
if (deltaF <= 0) or (exp(-deltaF / t) > random.random()):
currentState = newState
success += 1
j += 1
self.neighbor = Neighbor(currentState)
t = self.alpha * t
i += 1
file.write(Heuristic(currentState).queensPosition(),
self.neighbor.createBoard(),
url='./resource/newBoard.txt')
print "Contagem final de sucessos : ", success
print "Temperatura final : ", t
print "Numero de iteracoes : ", i
print "Posicao Inicial das ", len(
self.startState), " rainhas : ", Heuristic(
self.startState).queensPosition()
print "Posicao Final das ", len(
self.startState), " rainhas : ", Heuristic(
currentState).queensPosition()
print "\tNumero de rainhas atacando : ", Heuristic(
currentState).attacks()
print "Solucoes encontradas: "
for solution in solutions:
print solution
return Heuristic(currentState).attacks()
class HillClimbing(object):
def __init__(self, iterate, **kwargs):
self.iterate = iterate
self.startState = file.read()
self.neighbor = Neighbor(self.startState)
self.update_states = None
if "update_states" in kwargs:
self.update_states = True
def hill(self):
currentState = self.startState
nextEval = Heuristic(currentState).attacks()
i = 0
while i < self.iterate and nextEval != 0:
newState = self.neighbor.generateState()
currentEval = Heuristic(newState).attacks()
if self.update_states:
print Heuristic(currentState).queensPosition(
), " -> ", Heuristic(newState).queensPosition()
if currentEval <= nextEval:
currentState = newState
nextEval = Heuristic(currentState).attacks()
i += 1
self.neighbor = Neighbor(currentState)
file.write(Heuristic(currentState).queensPosition(),
self.neighbor.createBoard(),
url="./resource/newBoard.txt")
print "Hill Comum > Iteracao : ", i
print "Posicao Inicial das ", len(
self.startState), " rainhas : ", Heuristic(
self.startState).queensPosition()
print "Posicao Final das ", len(
self.startState), " rainhas : ", Heuristic(
currentState).queensPosition()
print "\tNumero de rainhas atacando : ", Heuristic(
currentState).attacks()
self.startState = currentState
return Heuristic(currentState).attacks()
def hill_random(self):
colision = sys.maxsize
count = 0
stagnate = sys.maxsize
old_col = -1
while colision != 0 and not stagnate == 100:
print "Hill Random > Iteracao: ", count + 1
print "------------------------------------------\n"
start = time.time()
colision = self.hill()
end = time.time() - start
print "\tTempo de execucao : ", end, " segundos"
self.neighbor = Neighbor(self.startState)
count += 1
print "\n------------------------------------------\n"
if not old_col == colision:
old_col = colision
stagnate = 0
else:
stagnate += 1
