def update(self, *args, **kwargs):
solutions = kwargs['SOLUTIONS']
if solutions:
variables = []
for s in solutions:
variables.append(s.objectives)
hv = HyperVolume(self.referencePoint)
hv.is_minimization = True
self.currentHyperVolume = hv.compute(variables)
variation = float(abs(self.lastHyperVolume - self.currentHyperVolume) / self.currentHyperVolume)
if variation <= self.HyperVolumeStagnationPercentage:
self.counter += 1
if self.counter >= 15:
self.HasReachVariation = True
else:
self.lastHyperVolume = copy.deepcopy(self.currentHyperVolume)
else:
self.lastHyperVolume = copy.deepcopy(self.currentHyperVolume)
self.counter = 0
self.HasReachVariation = False
print(self.counter)
def update(self, *args, **kwargs):
self.evaluations = kwargs['EVALUATIONS']
solutions = kwargs['SOLUTIONS']
if solutions:
variables = []
for s in solutions:
variables.append(s.objectives)
hv = HyperVolume(self.referencePoint)
hv.is_minimization = True
self.hyperVolumes.append(hv.compute(variables))
# TODO: Implement to IGD
if self.evaluations >= self.max_evaluations:
fileValue = self._getFileValue()
filename = 'Hist/' + str(self.AlgorithmName) + '/' + 'HV-' + str(fileValue) + '.txt'
with open(filename, 'w') as f:
for hv in self.hyperVolumes:
f.write(str(hv))
f.write('\n')