def _getRequiredAttributes(self,
paramsDict,
threadNumber="0",
runDict={},
pointKey=''):
'''
'''
phaseSpaceDict = {}
# pointKey = 'Point T' + threadNumber + "-" + str(int(random.uniform(1, 1000)))
# + strftime("-%d%m%Y%H%M%S", gmtime())
phaseSpaceDict[pointKey] = paramsDict
a_ct = 20
b_ct = 0.2
c_ct = 2 * math.pi
auxSum1 = 0
auxSum2 = 0
d_ct = len(list(paramsDict.keys()))
for modelParam in paramsDict.keys():
auxSum1 += (paramsDict[modelParam])**2
auxSum2 += math.cos(c_ct * paramsDict[modelParam])
ackleyVal = -a_ct * math.exp(
-b_ct * math.sqrt(auxSum1 / d_ct)) - math.exp(
auxSum2 / d_ct) + a_ct + math.exp(1)
phaseSpaceDict[pointKey]['fAckley'] = ackleyVal
# Put in a pause to simulate computational complexity
time.sleep(0.25 * randU(0, 1))
return phaseSpaceDict
def selection_one(self, population, population_fitnesses):
spot = 0
select_index = randU()
for i in range(0, len(population_fitnesses)):
if select_index > spot:
spot += population_fitnesses[i]
else:
select_index = i - 1
return population[select_index]
return population[-1]
def get_random_weight(self):
return randU() * 10
def prob_crossover(self):
return crossover_prob > randU()
def prob_mutation(self):
return mutation_prob > randU()