An Enriched Prediction Intervals Construction Method with Hybrid Intelligent Optimization

Algorithm 1

Bacterial Foraging Searching Mechanism.

(a) Initialize parameters: s=1, d=1.

(b) Tumble: Generate a random vector ∆, with each element belongs to a random number on .

(c) Move: Update according to (19) and calculate its new fitness .

(d) Swim: Let m=0 (counter for swimming length), while m is smaller than the maximum swimming length , let m=m+1.

   If F is smaller than , then update . Else, set m to be the maximum swimming length.

(e) Loop: If , d=d+1, go to step (b). In this case, continue the foraging operation for next dimension variable.

(f) Loop: If , s=s+1, update the chemotactic step size according to (21) and go to step (b). Else, terminate the life of

  bacterial foraging operation.