In order to improve the prediction reliability of the algorithm, we optimize two objectives, i.e. MSE and ME, simultaneously. We utilize versatile computational intelligent models such as PBM for handling this type of problems. MSE and ME is shown in Eq 11 and Eq 12, respectively. MSE=1n∑i∈Ω(Fi−F^i)2,(11) ME=maxi∈Ω{|Fi−F^i|},(12) where Ω represents the set of all prediction samples, Fi is the actual output of sample i, F^i is the predicted output of sample i, n is the number of prediction samples.