def update(self, particle, w, c1, c2):
for i in range(len(self.position)):
val = w * self._velocity[i] + c1 * random() * Setup.xor(
self._bestGlobal[i], self.position[i]) + c2 * random(
) * Setup.xor(particle.position[i], particle.bestPersonal[i])
self._velocity[i] = val
for i in range(len(self._velocity)):
if random() < Setup.sigmoid(self._velocity[i]).real:
self.position[i] = particle.position[i]
