We transform the underlying enumeration method into a parametric algorithm solving simultaneously for all values of the weighting parameter. Efficient implementations are presented for combinatorial problems with criteria as balanced optimization, min-sum with min-max, and min-sum with balanced optimization, considering the spanning tree, the linear assignment and the single machine scheduling problem. Further the new algorithmic scheme can easily incorporate a trade-off of the criteria by means of penalty functions, again without consequences for the algorithm and its complexity order.