Improving Genetic Algorithm with Fine-Tuned Crossover and Scaled Architecture

Algorithm 1

mtDNA pseudocode and algorithm.

() Initialization

   Assign mtDNA attribute to each population member

    If  population = initial

     then   unique value

    If  population = offspring of crossover

     then   of female (2nd parent)

() for   to Maximum Iterations

  (a) Selection

    Check mtDNA attributes of crossover pairs at (total iteration mod 100)  < iterations, where

    If  parent 1 mtDNA = parent 2 mtDNA

     then  abort crossover  &  find another pair

    If  parent 1 mtDNA ≠ parent 2 mtDNA

     then  allow crossover

    Reset  mtDNA attribute of all members to unique values after iterations.

         , where = total population

  (b) Crossover  &  mtDNA transfer

    Children’s of the female parent