def EvaluaHijo1(self, i):
j = 0
while j < self._nv:
b = Grey2Dec(self.Pop2[i], self.vindicesvar[j], self.vtam[j], self.vw)
self.vv[j] = b * (self.vmax[j] -
self.vmin[j]) / self.p2[j] + self.vmin[j]
j += 1
self.vfobj2[i] = evalua.Evalua(self._nv, self.vv)
def EvaluaPoblacion1(self):
i = 0
while i < self._pop:
j = 0
while j < self._nv:
b = Grey2Dec(self.Pop1[i], self.vindicesvar[j], self.vtam[j],
self.vw)
# self.vv[j] = v*20.0/255.0
# x - min_x b
# -------------- = ---------
# max_x - min_x 2^p - 1
self.vv[j] = b * (self.vmax[j] -
self.vmin[j]) / self.p2[j] + self.vmin[j]
j += 1
self.vfobj1[i] = evalua.Evalua(self._nv, self.vv)
i += 1
# El mejor se inicializa al primer individio
self._mejor = self.vfobj1[0]
def EvaluaPoblacion1( self ) : i = 0 while i<self._pop : v = evalua.Evalua( self._nv, self.Pop[i] ) self.Pop[i][self._nv] = v i += 1
def EvaluaNuevo( self ) : self.vnuevo[self._nv] = evalua.Evalua( self._nv, self.vnuevo )