Shrimp Feed Formulation via Evolutionary Algorithm with Power Heuristics for Handling Constraints

Algorithm 3

Power Mutation algorithm [22].

(i)   Generate uniform random numbers, and between

(ii) Get s using formula:

  where is the random number and p is the index of Power distribution

(iii) Get t using formula:

  where : ingredient value from crossover stage, : lower bound of ingredient ,

  : upper bound of ingredient

  If ,

  Then generate a new value of by the formula

  Else if

  Then find a new value of by the formula

(iv) Repeat step (iii) to (iv) until all alleles in chromosome i are mutated.

(v) Calculate new fitness value for the solution